start-ver=1.4 cd-journal=joma no-vol= cd-vols= no-issue= article-no= start-page= end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2025 dt-pub=20250912 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Radiological assessment of dissected cervical lymph nodes in level III affected by the area of supraomohyoid neck dissection en-subtitle= kn-subtitle= en-abstract= kn-abstract=Objectives: To compare the number of dissected cervical lymph nodes in the anatomical level III with that in supraomohyoid neck dissection (SOHND) level III affected by the anatomical relationship between the omohyoid muscle and cricoid cartilage using contrast-enhanced CT (CE-CT) images to assess the validity of the current SOHND.
Methods: CE-CT images of the patients who suffered from malignant tumours in the oral and maxillofacial regions were reviewed. The number of cervical lymph nodes both in the anatomical level III (area between the centre of the inferior border of the hyoid bone [HB] and the inferior border of the cricoid cartilage [CC]) and SOHND level III (area between HB and the intersection of the omohyoid muscle and internal jugular vein [OM-IJ]) were recorded, respectively.
Results: The rate of patients whose number of lymph nodes in level III was affected by the positional relationship between the OM-IJ and CC was almost equal in males and females. As for the patients with OM-IJ below the CC, the number of lymph nodes in SOHND level III increased from that of anatomical level III. Females showed significantly higher values than males (P? Conclusions: The number of dissected cervical lymph nodes differed between the SOHND dissection area and levels I, II, and III. In most cases, SOHND dissects more cervical lymph nodes, especially in female patients. en-copyright= kn-copyright= en-aut-name=TakeshitaYohei en-aut-sei=Takeshita en-aut-mei=Yohei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=OhyamaYoshio en-aut-sei=Ohyama en-aut-mei=Yoshio kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=IbaragiSoichiro en-aut-sei=Ibaragi en-aut-mei=Soichiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=MatsushitaYuki en-aut-sei=Matsushita en-aut-mei=Yuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TubbsR Shane en-aut-sei=Tubbs en-aut-mei=R Shane kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KitagawaNorio en-aut-sei=Kitagawa en-aut-mei=Norio kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=KawazuToshiyuki en-aut-sei=Kawazu en-aut-mei=Toshiyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=OkadaShunsuke en-aut-sei=Okada en-aut-mei=Shunsuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=FujikuraMamiko en-aut-sei=Fujikura en-aut-mei=Mamiko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=IwanagaJoe en-aut-sei=Iwanaga en-aut-mei=Joe kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= affil-num=1 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Clinical Anatomy Research Association in Oral and Maxillofacial Surgery kn-affil= affil-num=3 en-affil=Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=4 en-affil=Clinical Anatomy Research Association in Oral and Maxillofacial Surgery kn-affil= affil-num=5 en-affil=Clinical Anatomy Research Association in Oral and Maxillofacial Surgery kn-affil= affil-num=6 en-affil=Clinical Anatomy Research Association in Oral and Maxillofacial Surgery kn-affil= affil-num=7 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=8 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=9 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=10 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=11 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=12 en-affil=Clinical Anatomy Research Association in Oral and Maxillofacial Surgery kn-affil= en-keyword=omohyoid muscle kn-keyword=omohyoid muscle en-keyword=CT kn-keyword=CT en-keyword=neck dissection kn-keyword=neck dissection en-keyword=cervical lymph nodes kn-keyword=cervical lymph nodes en-keyword=cancer kn-keyword=cancer END start-ver=1.4 cd-journal=joma no-vol=15 cd-vols= no-issue=6 article-no= start-page=790 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2025 dt-pub=20250320 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis en-subtitle= kn-subtitle= en-abstract= kn-abstract=Background/Objectives: Mean kurtosis (MK) values in simple diffusion kurtosis imaging (SDI)-a type of diffusion kurtosis imaging (DKI)-have been reported to be useful in the diagnosis of head and neck malignancies, for which pre-processing with smoothing filters has been reported to improve the diagnostic accuracy. Multi-parameter analysis using DKI in combination with other image types has recently been reported to improve the diagnostic performance. The purpose of this study was to evaluate the usefulness of machine learning (ML)-based multi-parameter analysis using the MK and apparent diffusion coefficient (ADC) values-which can be acquired simultaneously through SDI-for the differential diagnosis of benign and malignant head and neck tumors, which is important for determining the treatment strategy, as well as examining the usefulness of filter pre-processing. Methods: A total of 32 pathologically diagnosed head and neck tumors were included in the study, and a Gaussian filter was used for image pre-processing. MK and ADC values were extracted from pixels within the tumor area and used as explanatory variables. Five ML algorithms were used to create models for the prediction of tumor status (benign or malignant), which were evaluated through ROC analysis. Results: Bi-parameter analysis with gradient boosting achieved the best diagnostic performance, with an AUC of 0.81. Conclusions: The usefulness of bi-parameter analysis with ML methods for the differential diagnosis of benign and malignant head and neck tumors using SDI data were demonstrated. en-copyright= kn-copyright= en-aut-name=YoshidaSuzuka en-aut-sei=Yoshida en-aut-mei=Suzuka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KurodaMasahiro en-aut-sei=Kuroda en-aut-mei=Masahiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=NakamuraYoshihide en-aut-sei=Nakamura en-aut-mei=Yoshihide kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=FukumuraYuka en-aut-sei=Fukumura en-aut-mei=Yuka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=NakamitsuYuki en-aut-sei=Nakamitsu en-aut-mei=Yuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=Al-HammadWlla E. en-aut-sei=Al-Hammad en-aut-mei=Wlla E. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=KurodaKazuhiro en-aut-sei=Kuroda en-aut-mei=Kazuhiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=ShimizuYudai en-aut-sei=Shimizu en-aut-mei=Yudai kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=TanabeYoshinori en-aut-sei=Tanabe en-aut-mei=Yoshinori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=OitaMasataka en-aut-sei=Oita en-aut-mei=Masataka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=SugiantoIrfan en-aut-sei=Sugianto en-aut-mei=Irfan kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=BarhamMajd en-aut-sei=Barham en-aut-mei=Majd kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= en-aut-name=TekikiNouha en-aut-sei=Tekiki en-aut-mei=Nouha kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=13 ORCID= en-aut-name=KamaruddinNurul N. en-aut-sei=Kamaruddin en-aut-mei=Nurul N. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=14 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=15 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=16 ORCID= en-aut-name=AsaumiJunichi en-aut-sei=Asaumi en-aut-mei=Junichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=17 ORCID= affil-num=1 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=3 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=4 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=5 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=6 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=7 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=8 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=9 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=10 en-affil=Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University kn-affil= affil-num=11 en-affil=Department of Oral Radiology, Faculty of Dentistry, Hasanuddin University kn-affil= affil-num=12 en-affil=Department of Dentistry and Dental Surgery, College of Medicine and Health Sciences, An-Najah National University kn-affil= affil-num=13 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=14 en-affil=Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=15 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=16 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=17 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=head and neck tumors kn-keyword=head and neck tumors en-keyword=mean kurtosis kn-keyword=mean kurtosis en-keyword=simple diffusion kurtosis imaging kn-keyword=simple diffusion kurtosis imaging en-keyword=magnetic resonance imaging kn-keyword=magnetic resonance imaging en-keyword=apparent diffusion coefficient value kn-keyword=apparent diffusion coefficient value en-keyword=diffusion kurtosis imaging kn-keyword=diffusion kurtosis imaging en-keyword=machine learning kn-keyword=machine learning en-keyword=bi-parameter analysis kn-keyword=bi-parameter analysis en-keyword=gradient boosting kn-keyword=gradient boosting en-keyword=differential diagnosis of benign and malignant kn-keyword=differential diagnosis of benign and malignant END start-ver=1.4 cd-journal=joma no-vol=34 cd-vols= no-issue=1 article-no= start-page=35 end-page=40 dt-received= dt-revised= dt-accepted= dt-pub-year=2025 dt-pub=2025 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Evaluation of CT Findings in Squamous and Non-Squamous Cell Carcinomas of the Maxillary Sinus en-subtitle= kn-subtitle= en-abstract= kn-abstract=The aim of the present study was to compare CT images between squamous cell carcinoma (SCC) and non-SCC found in the maxillary sinus, and to identify features that could be used to differentiate between SCC and non-SCC. Patients who visited the Faculty of Dentistry, Okayama University Hospital, between April 2007 and March 2023, underwent head and neck CT, and had tumors extending into the maxillary sinus that were diagnosed histopathologically as malignancy, were enrolled. The main seat of the mass, bony changes in the maxillary sinus wall, and extension into the surrounding area were assessed. These imaging features were evaluated according to SCC or non-SCC, and the characteristics of the two classes were assessed. Comparisons between the two groups were made using the Fisher exact probability test. There were 11 cases each of SCC and non-SCC. In 11 SCC and 7 non-SCC cases, the main seat of the mass occupied the entire maxillary sinus. The frequency of mass occupying the whole sinus was significantly higher in SCC than in non-SCC (p<0.05). Bone-thickening type disease was found only in squamous cell carcinoma 4/11 (36.4%), with there being a significant difference between SCC and non-SCC (p<0.05). Occupancy of the entire maxillary sinus by the mass and bone thickening on CT images were useful for differentiating between SCC and non-SCC arising in the maxillary sinus. en-copyright= kn-copyright= en-aut-name=AsaumiYuka en-aut-sei=Asaumi en-aut-mei=Yuka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=FujikuraMamiko en-aut-sei=Fujikura en-aut-mei=Mamiko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=E. Al-HammadWlla en-aut-sei=E. Al-Hammad en-aut-mei=Wlla kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakeshitaYohei en-aut-sei=Takeshita en-aut-mei=Yohei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=OkadaShunsuke en-aut-sei=Okada en-aut-mei=Shunsuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=KawazuToshiyuki en-aut-sei=Kawazu en-aut-mei=Toshiyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=AsaumiJunichi en-aut-sei=Asaumi en-aut-mei=Junichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= affil-num=1 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=3 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=4 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=5 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=6 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=7 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=8 en-affil=Department of Dental Informatics, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=9 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=Maxillary sinus kn-keyword=Maxillary sinus en-keyword=Squamous cell carcinoma kn-keyword=Squamous cell carcinoma en-keyword=Non-squamous cell carcinoma kn-keyword=Non-squamous cell carcinoma en-keyword=CT kn-keyword=CT END start-ver=1.4 cd-journal=joma no-vol=26 cd-vols= no-issue=3 article-no= start-page=394 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=20230727 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=An imaging?based diagnostic approach to vascular anomalies of the oral and maxillofacial region en-subtitle= kn-subtitle= en-abstract= kn-abstract=The accurate diagnosis of vascular anomalies (VAs) is considered a challenging endeavor. Misdiagnosis of VAs can lead clinicians in the wrong direction, such as the performance of an unnecessary biopsy or inappropriate surgical procedures, which can potentially lead to unforeseen consequences and increase the risk of patient injury. The purpose of the present study was to develop an approach for the diagnosis of VAs of the oral and maxillofacial region based on computed tomography (CT), magnetic resonance imaging (MRI) and dynamic contrast?enhanced MRI (DCE?MRI). In the present study, the CT and MR images of 87 VAs were examined, and the following imaging features were evaluated: Detectability of the lesion, the periphery of the lesion, the inner nature of the lesion, the density of the lesion on CT, the signal intensity of the lesion on MRI, the detectability of phleboliths and the shape of the lesion. A total of 29 lesions were further evaluated using the contrast index (CI) curves created from the DCE?MRI images. A diagnostic diagram, which is based on the imaging features of VAs and CI curve patterns, was subsequently extrapolated. The results obtained demonstrated that the VAs were detected more readily by MRI compared with CT, whereas the detectability of phleboliths was superior when using CT compared with MRI. VAs showed a propensity for homogeneous isodensity on CT, whereas, by contrast, they exhibited a propensity for heterogeneous hyperdensity on CE?CT. VAs also showed a propensity for homogeneous intermediate signal intensity when performing T1?weighted imaging (T1WI), heterogeneous high signal intensity when performing short tau inversion recovery MRI, and heterogeneous high signal intensity when performing fat?saturated CE?T1WI. The CI curves of VAs were found to exhibit a specific pattern: Of the 29 CI curves, 23 (79.3%) showed early weak enhancement, followed by a plateau leading up to 400?600 sec. An imaging?based diagnostic diagram was ultimately formulated. This diagram can act as an aid for radiologists when they are expecting to find a VA, and hopefully serve the purpose of simplifying the diagnostic process. Taken together, the findings of the present study indicated that DCE?MRI may be considered a useful tool for the diagnosis of VAs. en-copyright= kn-copyright= en-aut-name=Al?HammadWlla en-aut-sei=Al?Hammad en-aut-mei=Wlla kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=FujikuraMamiko en-aut-sei=Fujikura en-aut-mei=Mamiko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=OkadaShunsuke en-aut-sei=Okada en-aut-mei=Shunsuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=MunhozLuciana en-aut-sei=Munhoz en-aut-mei=Luciana kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KawazuToshiyuki en-aut-sei=Kawazu en-aut-mei=Toshiyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=TakeshitaYohei en-aut-sei=Takeshita en-aut-mei=Yohei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=FujitaMariko en-aut-sei=Fujita en-aut-mei=Mariko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=AsaumiJun-Ichi en-aut-sei=Asaumi en-aut-mei=Jun-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= affil-num=1 en-affil=Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=2 en-affil=Department of Oral Diagnosis and Dentomaxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=3 en-affil=Department of Oral Diagnosis and Dentomaxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=4 en-affil=Department of Oral Diagnosis and Dentomaxillofacial Radiology, Okayama University Hospital kn-affil= affil-num=5 en-affil=Department of Stomatology, School of Dentistry, University of S?o Paulo kn-affil= affil-num=6 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=7 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=8 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=9 en-affil=Department of Dental Informatics, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=10 en-affil=Department of Oral Diagnosis and Dentomaxillofacial Radiology, Okayama University Hospital kn-affil= en-keyword=vascular anomalies kn-keyword=vascular anomalies en-keyword=magnetic resonance imaging kn-keyword=magnetic resonance imaging en-keyword=computed tomography kn-keyword=computed tomography en-keyword=dynamic contrast-enhanced magnetic resonance imaging kn-keyword=dynamic contrast-enhanced magnetic resonance imaging en-keyword=contrast index curve kn-keyword=contrast index curve END start-ver=1.4 cd-journal=joma no-vol=77 cd-vols= no-issue=3 article-no= start-page=273 end-page=280 dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=202306 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Usefulness of Simple Diffusion Kurtosis Imaging for Head and Neck Tumors: An Early Clinical Study en-subtitle= kn-subtitle= en-abstract= kn-abstract=Diffusion kurtosis (DK) imaging (DKI), a type of restricted diffusion-weighted imaging, has been reported to be useful for tumor diagnoses in clinical studies. We developed a software program to simultaneously create DK images with apparent diffusion coefficient (ADC) maps and conducted an initial clinical study. Multi-shot echo-planar diffusion-weighted images were obtained at b-values of 0, 400, and 800 sec/mm2 for simple DKI, and DK images were created simultaneously with the ADC map. The usefulness of the DK image and ADC map was evaluated using a pixel analysis of all pixels and a median analysis of the pixels of each case. Tumor and normal tissues differed significantly in both pixel and median analyses. In the pixel analysis, the area under the curve was 0.64 for the mean kurtosis (MK) value and 0.77 for the ADC value. In the median analysis, the MK value was 0.74, and the ADC value was 0.75. The MK and ADC values correlated moderately in the pixel analysis and strongly in the median analysis. Our simple DKI system created DK images simultaneously with ADC maps, and the obtained MK and ADC values were useful for differentiating head and neck tumors from normal tissue. en-copyright= kn-copyright= en-aut-name=ShimizuYudai en-aut-sei=Shimizu en-aut-mei=Yudai kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KurodaMasahiro en-aut-sei=Kuroda en-aut-mei=Masahiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=NakamitsuYuki en-aut-sei=Nakamitsu en-aut-mei=Yuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=Al-HammadWlla E. en-aut-sei=Al-Hammad en-aut-mei=Wlla E. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=YoshidaSuzuka en-aut-sei=Yoshida en-aut-mei=Suzuka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=FukumuraYuka en-aut-sei=Fukumura en-aut-mei=Yuka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=NakamuraYoshihide en-aut-sei=Nakamura en-aut-mei=Yoshihide kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=KurodaKazuhiro en-aut-sei=Kuroda en-aut-mei=Kazuhiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=KamizakiRyo en-aut-sei=Kamizaki en-aut-mei=Ryo kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=ImajohSatoshi en-aut-sei=Imajoh en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=TanabeYoshinori en-aut-sei=Tanabe en-aut-mei=Yoshinori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=SugimotoKohei en-aut-sei=Sugimoto en-aut-mei=Kohei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= en-aut-name=OitaMasataka en-aut-sei=Oita en-aut-mei=Masataka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=13 ORCID= en-aut-name=SugiantoIrfan en-aut-sei=Sugianto en-aut-mei=Irfan kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=14 ORCID= en-aut-name=BamgboseBabatunde O. en-aut-sei=Bamgbose en-aut-mei=Babatunde O. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=15 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=16 ORCID= en-aut-name=AsaumiJunichi en-aut-sei=Asaumi en-aut-mei=Junichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=17 ORCID= affil-num=1 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=2 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=3 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=4 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=5 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=6 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=7 en-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=8 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=9 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=10 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=11 en-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University kn-affil= affil-num=12 en-affil=Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University kn-affil= affil-num=13 en-affil=Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University kn-affil= affil-num=14 en-affil=Department of Oral Radiology, Faculty of Dentistry, Hasanuddin University kn-affil= affil-num=15 en-affil=Department of Oral Diagnostic Sciences, Faculty of Dentistry, Bayero University kn-affil= affil-num=16 en-affil=Department of Dental Informatics, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= affil-num=17 en-affil=Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University kn-affil= en-keyword=simple diffusion kurtosis imaging kn-keyword=simple diffusion kurtosis imaging en-keyword=mean kurtosis kn-keyword=mean kurtosis en-keyword=clinical trial kn-keyword=clinical trial en-keyword=head and neck tumor kn-keyword=head and neck tumor en-keyword=magnetic resonance imaging kn-keyword=magnetic resonance imaging END start-ver=1.4 cd-journal=joma no-vol=49 cd-vols= no-issue=1 article-no= start-page=27 end-page=34 dt-received= dt-revised= dt-accepted= dt-pub-year=2019 dt-pub=20190525 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Fourth molar: A retrospective study and literature review of a rare clinical entity en-subtitle= kn-subtitle= en-abstract= kn-abstract=Purpose The prevalence of supernumerary teeth has been reported to be between 0.1% and 3.8%. The aim of this study was to determine the prevalence, clinical significance, and associated pathologies of fourth molars based on a retrospective study and a literature review. Materials and Methods A 5-year retrospective prevalence study was conducted at the Department of Oral Diagnosis and Dentomaxillofacial Radiology of Okayama University Hospital, Okayama, Japan. The study involved extracting data from the digital records of patients from January 1, 2013 through December 31, 2017. The sampling frame included all patients who had panoramic radiographs, cone-beam computed tomography (CT), and multislice CT images during the period under review. Results A total of 26,721 cases were reviewed and 87 fourth molars were identified. The prevalence of fourth molars in the 5-year study at Okayama was calculated as 0.32%. The mean age of patients with a fourth molar was 30.43 years, and the male-to-female ratio was 1:0.98. The vast majority of cases were in the maxilla (92%) and had normal shapes (89.7%); furthermore, 82.8% of cases were unerupted. Conclusion The prevalence of fourth molars in the study population was found to be 0.32%, and fourth molars occurred with approximately equal frequency in males and females. Fourth molars were more common in the maxilla and were predominantly unerupted and small. en-copyright= kn-copyright= en-aut-name=BamgboseBabatunde O. en-aut-sei=Bamgbose en-aut-mei=Babatunde O. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=OkadaShunsuke en-aut-sei=Okada en-aut-mei=Shunsuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakeshitaYohei en-aut-sei=Takeshita en-aut-mei=Yohei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=AbduZahrau Saleh en-aut-sei=Abdu en-aut-mei=Zahrau Saleh kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=EkuaseEdugie J. en-aut-sei=Ekuase en-aut-mei=Edugie J. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=AsaumiJun-ichi en-aut-sei=Asaumi en-aut-mei=Jun-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= affil-num=1 en-affil=Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=2 en-affil=Okayama University Hospital kn-affil= affil-num=3 en-affil=Okayama University Hospital kn-affil= affil-num=4 en-affil=Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=5 en-affil=Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=6 en-affil=Department of Oral Diagnostic Sciences, Faculty of Dentistry, Bayero University Kano kn-affil= affil-num=7 en-affil=Department of Chemistry and Forensic Sciences, Savannah State University kn-affil= affil-num=8 en-affil=Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= en-keyword=Tooth kn-keyword=Tooth en-keyword=Supernumerary kn-keyword=Supernumerary en-keyword=Odontoma kn-keyword=Odontoma en-keyword=Odontogenic Cyst kn-keyword=Odontogenic Cyst END start-ver=1.4 cd-journal=joma no-vol=28 cd-vols= no-issue=1 article-no= start-page=37 end-page=42 dt-received= dt-revised= dt-accepted= dt-pub-year=2009 dt-pub=200906 dt-online= en-article= kn-article= en-subject= kn-subject= en-title=Achievements and Next Themes of Dental Section of Perioperative Management Center in Okayama University Hospital at 5 Months after Establishment kn-title=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��)�ݗ��5��Ԃ̊��e��э��̓W�J en-subtitle= kn-subtitle= en-abstract= kn-abstract= en-copyright= kn-copyright= en-aut-name=YamanakaReiko en-aut-sei=Yamanaka en-aut-mei=Reiko kn-aut-name=�R��q kn-aut-sei=�R�� kn-aut-mei=��q aut-affil-num=1 ORCID= en-aut-name=SogaYoshihiko en-aut-sei=Soga en-aut-mei=Yoshihiko kn-aut-name=�]�䌫�F kn-aut-sei=�]�� kn-aut-mei=��F aut-affil-num=2 ORCID= en-aut-name=NawachiKumiko en-aut-sei=Nawachi en-aut-mei=Kumiko kn-aut-name=��t�v��q kn-aut-sei=��t kn-aut-mei=�v��q aut-affil-num=3 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name=��C kn-aut-sei=�� kn-aut-mei=��C aut-affil-num=4 ORCID= en-aut-name=KodamaNaoki en-aut-sei=Kodama en-aut-mei=Naoki kn-aut-name=�Z�ʒ��I kn-aut-sei=�Z�� kn-aut-mei=��I aut-affil-num=5 ORCID= en-aut-name=NakataTakashi en-aut-sei=Nakata en-aut-mei=Takashi kn-aut-name=��c�M kn-aut-sei=��c kn-aut-mei=�M aut-affil-num=6 ORCID= en-aut-name=MiuraRumi en-aut-sei=Miura en-aut-mei=Rumi kn-aut-name=�O�Y�� kn-aut-sei=�O�Y kn-aut-mei=�� aut-affil-num=7 ORCID= en-aut-name=HagawaMisao en-aut-sei=Hagawa en-aut-mei=Misao kn-aut-name=�H�쑀 kn-aut-sei=�H�� kn-aut-mei=�� aut-affil-num=8 ORCID= en-aut-name=TakeuchiTetsuo en-aut-sei=Takeuchi en-aut-mei=Tetsuo kn-aut-name=�|��N�j kn-aut-sei=�|�� kn-aut-mei=�N�j aut-affil-num=9 ORCID= en-aut-name=YamaneMieko en-aut-sei=Yamane en-aut-mei=Mieko kn-aut-name=�R��Ďq kn-aut-sei=�R�� kn-aut-mei=��Ďq aut-affil-num=10 ORCID= en-aut-name=MoritaManabu en-aut-sei=Morita en-aut-mei=Manabu kn-aut-name=�X�c�w kn-aut-sei=�X�c kn-aut-mei=�w aut-affil-num=11 ORCID= en-aut-name=TakashibaShogo en-aut-sei=Takashiba en-aut-mei=Shogo kn-aut-name=��Đ�� kn-aut-sei=�� kn-aut-mei=�� aut-affil-num=12 ORCID= en-aut-name=AsamiJun-ichi en-aut-sei=Asami en-aut-mei=Jun-ichi kn-aut-name=��C�~�� kn-aut-sei=��C kn-aut-mei=�~�� aut-affil-num=13 ORCID= en-aut-name=MinagiShogo en-aut-sei=Minagi en-aut-mei=Shogo kn-aut-name=�F�؏Ȍ� kn-aut-sei=�F�� kn-aut-mei=�Ȍ� aut-affil-num=14 ORCID= en-aut-name=YoshiyamaMasahiro en-aut-sei=Yoshiyama en-aut-mei=Masahiro kn-aut-name=�g�R��G kn-aut-sei=�g�R kn-aut-mei=��G aut-affil-num=15 ORCID= en-aut-name=ShimonoTsutomu en-aut-sei=Shimono en-aut-mei=Tsutomu kn-aut-name=�� kn-aut-sei=�� kn-aut-mei=�� aut-affil-num=16 ORCID= en-aut-name=KubokiTakuo en-aut-sei=Kuboki en-aut-mei=Takuo kn-aut-name=�E�ؑ�j kn-aut-sei=�E�� kn-aut-mei=��j aut-affil-num=17 ORCID= en-aut-name=SasakiAkira en-aut-sei=Sasaki en-aut-mei=Akira kn-aut-name=��X�ؘN kn-aut-sei=��X�� kn-aut-mei=�N aut-affil-num=18 ORCID= en-aut-name=MoritaKiyoshi en-aut-sei=Morita en-aut-mei=Kiyoshi kn-aut-name=�X�c�� kn-aut-sei=�X�c kn-aut-mei=�� aut-affil-num=19 ORCID= affil-num=1 en-affil= kn-affil=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��) affil-num=2 en-affil= kn-affil=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��) affil-num=3 en-affil= kn-affil=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��) affil-num=4 en-affil= kn-affil=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��) affil-num=5 en-affil= kn-affil=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��) affil-num=6 en-affil= kn-affil=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��) affil-num=7 en-affil= kn-affil=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��) affil-num=8 en-affil= kn-affil=��R��w�a�@��ËZ�p��ȉq��m�� affil-num=9 en-affil= kn-affil=��R��w�a�@��ËZ�p��ȋZ�H�� affil-num=10 en-affil= kn-affil=��R��w�a�@��p��Ǘ��Z��^�[(��ȕ��) affil-num=11 en-affil= kn-affil=��R��w��w�@�㎕��w��ȗ\�h��Ȋw�� affil-num=12 en-affil= kn-affil=��R��w��w�@�㎕��w��Ȏ��a�Ԋw�� affil-num=13 en-affil= kn-affil=��R��w��w�@�㎕��w��Ȏ��ȕ��ː��w�� affil-num=14 en-affil= kn-affil=��R��w��w�@�㎕��w��ș��E�L��`��Ԋw�� affil-num=15 en-affil= kn-affil=��R��w��w�@�㎕��w��Ȏ��ȕۑ��C��w�� affil-num=16 en-affil= kn-affil=��R��w�a�@��ËZ�p��ȉq��m�� affil-num=17 en-affil= kn-affil=��R��w��w�@�㎕��w��ȃC��v��g�Đ��Ԋw�� affil-num=18 en-affil= kn-affil=��R��w�a�@��a�@�� affil-num=19 en-affil= kn-affil=��R��w�a�@�a�@�� END start-ver=1.4 cd-journal=joma no-vol=67 cd-vols= no-issue=6 article-no= start-page=359 end-page=367 dt-received= dt-revised= dt-accepted= dt-pub-year=2013 dt-pub=201312 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=In Vitro Assessment of Factors Affecting the Apparent Diffusion Coefficient of Jurkat Cells Using Bio-phantoms en-subtitle= kn-subtitle= en-abstract= kn-abstract=It is well known that many tumor tissues show lower apparent diffusion coefficient (ADC) values, and that several factors are involved in the reduction of ADC values. The aim of this study was to clarify how much each factor contributes to decreases in ADC values. We investigate the roles of cell density, extracellular space, intracellular factors, apoptosis and necrosis in ADC values using bio-phantoms. The ADC values of bio-phantoms, in which Jurkat cells were encapsulated by gellan gum, were measured by a 1.5-Tesla magnetic resonance imaging device with constant diffusion time of 30sec. Heating at 42�� was used to induce apoptosis while heating at 48�� was used to induce necrosis. Cell death after heating was evaluated by flow cytometric analysis and electron microscopy. The ADC values of bio-phantoms including non-heated cells decreased linearly with increases in cell density, and showed a steep decline when the distance between cells became less than 3��m. The analysis of ADC values of cells after destruction of cellular structures by sonication suggested that approximately two-thirds of the ADC values of cells originate from their cellular structures. The ADC values of bio-phantoms including necrotic cells increased while those including apoptotic cells decreased. This study quantitatively clarified the role of the cellular factors and the extracellular space in determining the ADC values produced by tumor cells. The intermediate diffusion time of 30msec might be optimal to distinguish between apoptosis and necrosis. en-copyright= kn-copyright= en-aut-name=KatashimaKazunori en-aut-sei=Katashima en-aut-mei=Kazunori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KurodaMasahiro en-aut-sei=Kuroda en-aut-mei=Masahiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=AshidaMasakazu en-aut-sei=Ashida en-aut-mei=Masakazu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=SasakiTakanori en-aut-sei=Sasaki en-aut-mei=Takanori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TaguchiTakehito en-aut-sei=Taguchi en-aut-mei=Takehito kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=MatsuzakiHidenobu en-aut-sei=Matsuzaki en-aut-mei=Hidenobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=MurakamiJun en-aut-sei=Murakami en-aut-mei=Jun kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=HaraMarina en-aut-sei=Hara en-aut-mei=Marina kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=KatoHirokazu en-aut-sei=Kato en-aut-mei=Hirokazu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=OhmuraYuichi en-aut-sei=Ohmura en-aut-mei=Yuichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= en-aut-name=KobayashiTomoki en-aut-sei=Kobayashi en-aut-mei=Tomoki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=13 ORCID= en-aut-name=KanazawaSusumu en-aut-sei=Kanazawa en-aut-mei=Susumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=14 ORCID= en-aut-name=HaradaSosuke en-aut-sei=Harada en-aut-mei=Sosuke kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=15 ORCID= en-aut-name=TakemotoMitsuhiro en-aut-sei=Takemoto en-aut-mei=Mitsuhiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=16 ORCID= en-aut-name=OhnoSeiichiro en-aut-sei=Ohno en-aut-mei=Seiichiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=17 ORCID= en-aut-name=MimuraSeiichi en-aut-sei=Mimura en-aut-mei=Seiichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=18 ORCID= en-aut-name=AsaumiJunichi en-aut-sei=Asaumi en-aut-mei=Junichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=19 ORCID= affil-num=1 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=2 en-affil= kn-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University affil-num=3 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=4 en-affil= kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=5 en-affil= kn-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University affil-num=6 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=7 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=8 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=9 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=10 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=11 en-affil= kn-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University affil-num=12 en-affil= kn-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University affil-num=13 en-affil= kn-affil=Radiological Technology, Graduate School of Health Sciences, Okayama University affil-num=14 en-affil= kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=15 en-affil= kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=16 en-affil= kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=17 en-affil= kn-affil=Central Division of Radiology, Okayama University Hospital affil-num=18 en-affil= kn-affil=Central Division of Radiology, Okayama University Hospital affil-num=19 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences en-keyword=ADC kn-keyword=ADC en-keyword=apoptosis kn-keyword=apoptosis en-keyword=necrosis kn-keyword=necrosis en-keyword=hyperthermia kn-keyword=hyperthermia en-keyword=cell density kn-keyword=cell density END start-ver=1.4 cd-journal=joma no-vol=203 cd-vols= no-issue=1 article-no= start-page=157 end-page=162 dt-received= dt-revised= dt-accepted= dt-pub-year=2012 dt-pub=20120115 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Mechanomyographic activity in the human lateral pterygoid muscle during mandibular movement en-subtitle= kn-subtitle= en-abstract= kn-abstract=The activity of the lateral pterygoid muscle has been regarded to be related to the pathological condition of the temporomandibular joint (TMJ) in the craniomandibular disorders. Because the lateral pterygoid muscle is a deep muscle, a needle electrode is necessary for EMG recordings. The purpose of this study was to establish a non-invasive method for the evaluation of muscle activity of the lateral pterygoid muscle using mechanomyogram (MMG). In three male subjects, surface electromyogram (EMG) in the left masseter muscle, left anterior and posterior belly of the temporal muscle, left anterior belly of the digastric muscle and needle EMG of the inferior head of the lateral pterygoid were recorded during mandibular movement tasks simultaneously with the MMG derived from a condenser microphone in the external ear canal. There were significant positive correlations between the needle EMG signal of the lateral pterygoid muscle and the MMG signal for the tasks of static jaw opened position of 30 mm of interincisal distance (p = 0.000, R(2)=0.725), static jaw opened position of 40 mm of interincisal distance (p = 0.000, R(2) = 0.753), 5 mm protruded mandibular position (p = 0.000, R(2) = 0.653), the most protruded mandibular position (p = 0.000, R(2) = 0803). On the contrary, for the task of maximal clenching, there was no significant correlation between the EMG signal of the lateral pterygoid muscle and the MMG signal. These results suggest that the activity of the lateral pterygoid muscle could be evaluated by the MMG signals recorded in the external ear canal, unless jaw closing major muscles show active contraction. en-copyright= kn-copyright= en-aut-name=KawakamiShigehisa en-aut-sei=Kawakami en-aut-mei=Shigehisa kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KodamaNaoki en-aut-sei=Kodama en-aut-mei=Naoki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=MaedaNaoto en-aut-sei=Maeda en-aut-mei=Naoto kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=SakamotoShunichi en-aut-sei=Sakamoto en-aut-mei=Shunichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=OkiKazuhiro en-aut-sei=Oki en-aut-mei=Kazuhiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=AsaumiJun-Ichi en-aut-sei=Asaumi en-aut-mei=Jun-Ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=MaedaTeruta en-aut-sei=Maeda en-aut-mei=Teruta kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=MinagiShogo en-aut-sei=Minagi en-aut-mei=Shogo kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= affil-num=1 en-affil= kn-affil=Okayama Univ, Dept Occlusal & Oral Funct Rehabil affil-num=2 en-affil= kn-affil=Okayama Univ, Dept Occlusal & Oral Funct Rehabil affil-num=3 en-affil= kn-affil=Okayama Univ, Dept Occlusal & Oral Funct Rehabil affil-num=4 en-affil= kn-affil=Okayama Univ, Dept Occlusal & Oral Funct Rehabil affil-num=5 en-affil= kn-affil=Okayama Univ, Dept Occlusal & Oral Funct Rehabil affil-num=6 en-affil= kn-affil=Okayama Univ, Dept Oral & Maxillofacial Radiol affil-num=7 en-affil= kn-affil=Okayama Univ, Dept Oral & Maxillofacial Radiol affil-num=8 en-affil= kn-affil=Osaka Dent Univ, Dept Postgrad Clin Training affil-num=9 en-affil= kn-affil=Osaka Dent Univ, Dept Postgrad Clin Training en-keyword=Mechanomyogram kn-keyword=Mechanomyogram en-keyword=Electromyogram kn-keyword=Electromyogram en-keyword=Lateral pterygoid muscle kn-keyword=Lateral pterygoid muscle en-keyword=Jaw movement kn-keyword=Jaw movement END start-ver=1.4 cd-journal=joma no-vol=47 cd-vols= no-issue=2 article-no= start-page=147 end-page=152 dt-received= dt-revised= dt-accepted= dt-pub-year=2011 dt-pub=201102 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Diagnostic value of dynamic contrast-enhanced MRI for unilocular cystic-type ameloblastomas with homogeneously bright high signal intensity on T2-weighted or STIR MR images en-subtitle= kn-subtitle= en-abstract= kn-abstract=Typical MR images of ameloblastomas on T2-weighted image (WI) or short inversion time inversion-recovery (STIR) show multiple bright high-signal-intensity loci on a high-signal-intensity background. Unilocular cystic-type ameloblastomas show homogeneously bright high signal intensity on T2WI or STIR as a water-like signal intensity. Therefore, it is difficult to distinguish unilocular cystic-type ameloblastoma from other cystic lesions such as keratocystic odontogenic tumors, radicular cysts (residual cysts) and dentigerous cysts only on the basis of MRI signal intensity. In the present study, we evaluated whether contrast-enhanced (CE)-T1WI and dynamic CE-MRI (DCE-MRI) could provide additional information for differential diagnosis in unilocular cystic-type ameloblastoma. Images from 12 cases of suspected unilocular cystic-type ameloblastoma were evaluated in the present study. Of them, 5 had areas suspected of indicating a solid component on T1WI and T2WI (or STIR). Ten had undergone additional CE-T1WI and DCE-MRI. On 5 of 10 cases of CE-T1WI, a tiny enhancement area was detected. On 6 of 10 DCE-images, a time-course enhanced area which was suspected to be a solid component was detected. CE-T1WI was helpful in the diagnosis of ameloblastoma because the tiny enhanced areas were taken to indicate possible solid components. Moreover, the rim-enhancement area on CE-T1WI could be divided into small regions of interest, and some of these showed slightly increased enhancement on DCE-MRI, which was taken to indicate a solid component and/or intramural nodule with focal invasion of ameloblastoma tissue. DCE-MRIs of the four remaining cases, which provided no clues to the diagnosis of ameloblastoma in the manner of the above descriptions, showed thicker rim enhancement than odontogenic cysts. Thus, CE-T1WI and DCE-MRI were helpful in the differential diagnosis of unilocular cystic-type ameloblastomas with homogeneously bright high signal intensity on T2WI or STIR. en-copyright= kn-copyright= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=KonouchiHironobu en-aut-sei=Konouchi en-aut-mei=Hironobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=MatsuzakiHidenobu en-aut-sei=Matsuzaki en-aut-mei=Hidenobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakenobuToshihiko en-aut-sei=Takenobu en-aut-mei=Toshihiko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=UnetsuboTeruhisa en-aut-sei=Unetsubo en-aut-mei=Teruhisa kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=AsaumiJun-ichi en-aut-sei=Asaumi en-aut-mei=Jun-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil= kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Field Tumor Biol, Dept Oral & Maxillofacial Radiol affil-num=2 en-affil= kn-affil=Okayama Univ Hosp, Dept Oral Diag & Dentomaxillofacial Radiol affil-num=3 en-affil= kn-affil=Okayama Univ Hosp, Dept Oral Diag & Dentomaxillofacial Radiol affil-num=4 en-affil= kn-affil=Okayama Univ Hosp, Dept Oral Diag & Dentomaxillofacial Radiol affil-num=5 en-affil= kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Field Tumor Biol, Dept Oral & Maxillofacial Radiol affil-num=6 en-affil= kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Field Tumor Biol, Dept Oral & Maxillofacial Radiol affil-num=7 en-affil= kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Field Tumor Biol, Dept Oral & Maxillofacial Radiol en-keyword=Ameloblastoma kn-keyword=Ameloblastoma en-keyword=Unicystic kn-keyword=Unicystic en-keyword=Sold/multicystic kn-keyword=Sold/multicystic en-keyword=MRI kn-keyword=MRI en-keyword=DCE-MRI kn-keyword=DCE-MRI en-keyword=Odontogenic tumor kn-keyword=Odontogenic tumor en-keyword=Odontogenic cyst kn-keyword=Odontogenic cyst END start-ver=1.4 cd-journal=joma no-vol=26 cd-vols= no-issue=2 article-no= start-page=110 end-page=115 dt-received= dt-revised= dt-accepted= dt-pub-year=2010 dt-pub=201012 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=The utility of three-dimensional dynamic contrast-enhanced en-subtitle= kn-subtitle= en-abstract= kn-abstract=Aneurysmal bone cysts (ABCs) are classified as bone-related lesions based on the 2005 World Health Organization histological classification of odontogenic tumors. Most ABCs are diagnosed using a combination of conventional radiography, computed tomography, magnetic resonance imaging (MRI), and digital subtraction angiography. ABCs should be differentiated from true cysts or other pseudocysts because their treatment is different. Additionally, unlike other cysts, ABCs pose a hemorrhagic risk in surgery; thus, preoperative evaluation of intralesional blood flow is required. Here we report a case of a mandibular ABC in a 39-year-old woman and focus on its dynamic contrast-enhanced MRI (DCE-MRI) features. On DCE-MRI, the lesion was divided into two areas according to the enhancement pattern: the blood-pooling and blood-flow areas. The series of DCE-MR images of the blood-pooling area showed marked enhancement of the margin, but no enhancement in the inner part of the cavity. Additionally, the time-signal intensity curve (TIC) demonstrated no change in the signal intensity (SI) until approximately 15 min after gadolinium-diethylenetriamine penta-acetic acid (Gd-DTPA) administration. In contrast, the series of DCE-MR images of the blood-flow area exhibited marked enhancement in the cyst cavity in the early phase. The TIC showed a rapid increase in SI in the early phase, followed by a rapid decrease until 150 s, and finally a gradual decrease until approximately 15 min after Gd-DTPA administration. Thus, in the current patient, preoperative DCE-MRI clearly delineated the vessel-rich area within the lesion. en-copyright= kn-copyright= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=FujitaMariko en-aut-sei=Fujita en-aut-mei=Mariko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=MatsuzakiHidenobu en-aut-sei=Matsuzaki en-aut-mei=Hidenobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=KonouchiHironobu en-aut-sei=Konouchi en-aut-mei=Hironobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KataseNaoki en-aut-sei=Katase en-aut-mei=Naoki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=NagatsukaHitoshi en-aut-sei=Nagatsuka en-aut-mei=Hitoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=AsaumiJun-ichi en-aut-sei=Asaumi en-aut-mei=Jun-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= affil-num=1 en-affil= kn-affil=Department of Oral Diagnosis and Dentomaxillofacial Radiology, Okayama University Hospital of Medicine and Dentistry affil-num=2 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Field of Tumor Biology, Okayama University Graduate School affil-num=3 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Field of Tumor Biology, Okayama University Graduate School affil-num=4 en-affil= kn-affil=Department of Oral Diagnosis and Dentomaxillofacial Radiology, Okayama University Hospital of Medicine and Dentistry affil-num=5 en-affil= kn-affil=Department of Oral Diagnosis and Dentomaxillofacial Radiology, Okayama University Hospital of Medicine and Dentistry affil-num=6 en-affil= kn-affil=Department of Oral Pathology and Medicine, Field of Tumor Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=7 en-affil= kn-affil=Department of Oral Pathology and Medicine, Field of Tumor Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences affil-num=8 en-affil= kn-affil=Department of Oral Diagnosis and Dentomaxillofacial Radiology, Okayama University Hospital of Medicine and Dentistry en-keyword=Aneurismal bone cyst kn-keyword=Aneurismal bone cyst en-keyword=Dynamic contrastenhanced MRI kn-keyword=Dynamic contrastenhanced MRI en-keyword=MRI kn-keyword=MRI END start-ver=1.4 cd-journal=joma no-vol=51 cd-vols= no-issue=3 article-no= start-page=252 end-page=256 dt-received= dt-revised= dt-accepted= dt-pub-year=2004 dt-pub=20049 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Assessment of MRI and dynamic contrast-enhanced MRI in the differential diagnosis of adenomatoid odontogenic tumor en-subtitle= kn-subtitle= en-abstract= kn-abstract=

The radiographical differentiation of adenomatoid odontogenic tumor (AOT) from dentigerous cysts, calcifying odontogenic cysts, calcifying epithelial odontogenic tumors, odontogenic keratocysts, and amelobastomas is sometimes difficult. We attempted to differentiate AOT from other lesions similar to AOT in radiographic findings using MRI. The MRI features of AOT in our 3 cases included homogeneous low SI in the cystic portion and homogeneous intermediate SI in the solid portion on T1WI, homogeneous high SI in the cystic portion and intermediate to slightly high SI in the solid portion on T2WI, and enhancement of only the solid portion on CE-T1WI although non of the sequences included SI of calcifications. The contrast index curves in the 3 cases of AOT showed a gradual increase to 300 s, which signified a benign tumor. These MRI features were characteristic features of AOT and might be a basis for differentiating AOT from the above possible lesions in radiographic examinations.

en-copyright= kn-copyright= en-aut-name=AsaumiJun-ichi en-aut-sei=Asaumi en-aut-mei=Jun-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=KonouchiHironobu en-aut-sei=Konouchi en-aut-mei=Hironobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=MatsuzakiHidenobu en-aut-sei=Matsuzaki en-aut-mei=Hidenobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=ShigeharaHiroshi en-aut-sei=Shigehara en-aut-mei=Hiroshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=KishiKanji en-aut-sei=Kishi en-aut-mei=Kanji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University affil-num=3 en-affil= kn-affil=Okayama University affil-num=4 en-affil= kn-affil=Okayama University affil-num=5 en-affil= kn-affil=Okayama University affil-num=6 en-affil= kn-affil=Okayama University affil-num=7 en-affil= kn-affil=Okayama University en-keyword=AOT kn-keyword=AOT en-keyword=odontogenic tumor kn-keyword=odontogenic tumor en-keyword=odontogenic cyst kn-keyword=odontogenic cyst en-keyword=MRI kn-keyword=MRI en-keyword=DCE-MRI kn-keyword=DCE-MRI END start-ver=1.4 cd-journal=joma no-vol=40 cd-vols= no-issue=6 article-no= start-page=579 end-page=584 dt-received= dt-revised= dt-accepted= dt-pub-year=2004 dt-pub=20047 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Application of dynamic contrast-enhanced MRI to differentiate malignant lymphoma from squamous cell carcinoma in the head and neck en-subtitle= kn-subtitle= en-abstract= kn-abstract=

Because malignant lymphoma, the second most common malignant tumor of the head and neck, and squamous cell carcinoma (SCC), the most common malignant tumor of the head and neck, require different treatments, it is important to be able to differentiate them. In the present study, we attempted to differentiate malignant lymphomas from SCCs using dynamic contrast-enhanced MRI (DCE-MRI). Seventeen lesions (in 8 cases) of malignant lymphoma and 30 cases of SCC were compared by DCE-MRI.

Thirteen of 17 malignant lymphomas (76.5%) showed the maximum contrast index (CI) at 90?180 s, while 26 of 30 SCCs (86.7%) showed the maximum CI at a much faster 60?105 s. There was a statistically significant difference between SCC and malignant lymphoma in the time needed reach the maximum CI (p=0.0177). There was also significant difference between SCC and malignant lymphoma in their maximum CIs (p<0.001), with the maximum CIs of 29/30 SCCs (96.7%) above 2.0, while 12/17 malignant lymphomas (70.6%) showed CIs of less than 2.0. We consider these findings to be useful for distinguishing lymphomas from SCCs.

en-copyright= kn-copyright= en-aut-name=AsaumiJun-ichi en-aut-sei=Asaumi en-aut-mei=Jun-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=KonouchiHironobu en-aut-sei=Konouchi en-aut-mei=Hironobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=HisatomiMiki en-aut-sei=Hisatomi en-aut-mei=Miki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=MatsuzakiHidenobu en-aut-sei=Matsuzaki en-aut-mei=Hidenobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KishiKanji en-aut-sei=Kishi en-aut-mei=Kanji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University affil-num=3 en-affil= kn-affil=Okayama University affil-num=4 en-affil= kn-affil=Okayama University affil-num=5 en-affil= kn-affil=Okayama University affil-num=6 en-affil= kn-affil=Okayama University en-keyword=DCE-MRI kn-keyword=DCE-MRI en-keyword=Head and neck kn-keyword=Head and neck en-keyword=Lymphoma kn-keyword=Lymphoma en-keyword=Squamous cell carcinoma kn-keyword=Squamous cell carcinoma en-keyword=Contrast index curve kn-keyword=Contrast index curve END start-ver=1.4 cd-journal=joma no-vol=41 cd-vols= no-issue=10 article-no= start-page=984 end-page=993 dt-received= dt-revised= dt-accepted= dt-pub-year=2005 dt-pub=20057 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Role of O-6-methylguanine-DNA methyltransferase and effect of O-6-benzylguanine on the anti-tumor activity of cis-diaminedichloroplatinum(II) in oral cancer cell lines en-subtitle= kn-subtitle= en-abstract= kn-abstract=

The DNA repair enzyme, O-6-methylguanine-DNA methyltransferase (MGMT) modulates the effectiveness of alkylating agents. However, the relationship between MGMT and the sensitivities to other agents has not been explored. In the present study, the association between MGMT expression and the cellular sensitivity to the platinum agent, CDDP was examined in four human oral cancer cell tines. CDDP depleted MGMT protein and mRNA levels in all four cell tines. Two cell lines with low MGMT expression were sensitive to an alkylating agent, N-methyl-N'-nitro-N-nitrosoguanidine and CDDP, whereas two other cell tines with high MGMT expression were resistant to both agents. Furthermore, the addition of the MGMT inhibitor, O-6-benzylguanine (O-6-BG), invariably enhanced CDDP sensitivity. CDDP depleted MGMT expression, and CDDP sensitivity was enhanced by O-6-BG. These results provide valuable information about the relationship between MGMT expression and CDDP sensitivity in oral cancer chemotherapy. (c) 2005 Elsevier Ltd. All rights reserved.

en-copyright= kn-copyright= en-aut-name=MakiYu en-aut-sei=Maki en-aut-mei=Yu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=MurakamiJun en-aut-sei=Murakami en-aut-mei=Jun kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=AsaumiJun-ichi en-aut-sei=Asaumi en-aut-mei=Jun-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=TsujigiwaHidetsugu en-aut-sei=Tsujigiwa en-aut-mei=Hidetsugu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=NagatsukaHitoshi en-aut-sei=Nagatsuka en-aut-mei=Hitoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KokeguchiSusumu en-aut-sei=Kokeguchi en-aut-mei=Susumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=FukuiKazuhiro en-aut-sei=Fukui en-aut-mei=Kazuhiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=KawaiNoriko en-aut-sei=Kawai en-aut-mei=Noriko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=KurodaMasahiro en-aut-sei=Kuroda en-aut-mei=Masahiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=TanakaNoriaki en-aut-sei=Tanaka en-aut-mei=Noriaki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=MatsubaraNagahide en-aut-sei=Matsubara en-aut-mei=Nagahide kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= en-aut-name=KishiKanji en-aut-sei=Kishi en-aut-mei=Kanji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=13 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University affil-num=3 en-affil= kn-affil=Okayama University affil-num=4 en-affil= kn-affil=Okayama University affil-num=5 en-affil= kn-affil=Okayama University affil-num=6 en-affil= kn-affil=Okayama University affil-num=7 en-affil= kn-affil=Okayama University affil-num=8 en-affil= kn-affil=Okayama University affil-num=9 en-affil= kn-affil=Okayama University affil-num=10 en-affil= kn-affil=Okayama University affil-num=11 en-affil= kn-affil=Okayama University affil-num=12 en-affil= kn-affil=Okayama University affil-num=13 en-affil= kn-affil=Okayama University en-keyword=mgmt kn-keyword=mgmt en-keyword=cddp kn-keyword=cddp en-keyword=o-6-bg kn-keyword=o-6-bg en-keyword=oral cancer kn-keyword=oral cancer END start-ver=1.4 cd-journal=joma no-vol=56 cd-vols= no-issue=1 article-no= start-page=22 end-page=28 dt-received= dt-revised= dt-accepted= dt-pub-year=2005 dt-pub=200507 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Effects of histone deacetylase inhibitor FR901228 on expression level of telomerase reverse transcriptase in oral cancer en-subtitle= kn-subtitle= en-abstract= kn-abstract=We speculated whether or not the expression level of telomerase reverse transcriptase (hTERT) would be modulated by agents targeting epigenetics in oral cancer cell lines. Although hTERT is known to be targeted by epigenetic changes, it remains unclear how chemoagents targeting epigenetics work on hTERT transcription. In the present study, the epigenetic effects of histone deacetylase (HDAC) inhibitor FR901228 on hTERT transcription were analysed by RT-PCR in oral cancer cell lines. The mRNA expression of hTERT was upregulated after exposure to FR901228 in hTERT-negative Hep2 cells, even in the hTERT highly expressed SAS and KB cells. Moreover, co-treatment of protein synthesis inhibitor cycloheximide (CHX) resulted in the induction of hTERT transcription by FR901228. This suggests that the induction of hTERT by FR901228 requires de novo protein synthesis to some extent and is more likely a direct than an indirect effect on epigenetic changes such as histone acetylation / deacetylation. We further examined the effect of FR901228 on c-myc protein, which is one of the main hTERT transcription activators. FR901228 repressed c-myc protein only in the absence of CHX, dependent of the enhancement of de novo protein synthesis. Our results indicate that c-myc protein is repressed indirectly by FR901228 but may not contribute FR901228-induced hTERT transcription. The present study showed that the HDAC inhibitor FR901228 induced the hTERT gene by a complex mechanism that involved other transcription factors except for c-myc, in addition to the inhibition of histone deacetylation. en-copyright= kn-copyright= en-aut-name=MurakamiJun en-aut-sei=Murakami en-aut-mei=Jun kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=AsaumiJun-ichi en-aut-sei=Asaumi en-aut-mei=Jun-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=KawaiNoriko en-aut-sei=Kawai en-aut-mei=Noriko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=TsujigiwaHidetsugu en-aut-sei=Tsujigiwa en-aut-mei=Hidetsugu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=NagatsukaHitoshi en-aut-sei=Nagatsuka en-aut-mei=Hitoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=InoueTetsuyoshi en-aut-sei=Inoue en-aut-mei=Tetsuyoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=KokeguchiSusumu en-aut-sei=Kokeguchi en-aut-mei=Susumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=KawasakiShoji en-aut-sei=Kawasaki en-aut-mei=Shoji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=KurodaMasahiro en-aut-sei=Kuroda en-aut-mei=Masahiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=TanakaNoriaki en-aut-sei=Tanaka en-aut-mei=Noriaki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=MatsubaraNagahide en-aut-sei=Matsubara en-aut-mei=Nagahide kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= en-aut-name=KishiKanji en-aut-sei=Kishi en-aut-mei=Kanji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=13 ORCID= affil-num=1 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=2 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=3 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=4 en-affil= kn-affil=Department of Oral Pathology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=5 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=6 en-affil= kn-affil=Department of Oral Pathology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=7 en-affil= kn-affil=Department of Oral Microbiology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=8 en-affil= kn-affil=Department of Oral Microbiology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=9 en-affil= kn-affil=Department of Radiological Technology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=10 en-affil= kn-affil=Department of Radiology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=11 en-affil= kn-affil=Department of Surgical Oncology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=12 en-affil= kn-affil=Department of Surgical Oncology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools affil-num=13 en-affil= kn-affil=Department of Oral and Maxillofacial Radiology, Field of Tumor Biology, Graduate School of Medicine and Dentistry, Okayama University Graduate Schools en-keyword=hTERT kn-keyword=hTERT en-keyword=FR901228 kn-keyword=FR901228 en-keyword=oral cancer kn-keyword=oral cancer en-keyword=HDAC inhibitor kn-keyword=HDAC inhibitor END start-ver=1.4 cd-journal=joma no-vol=40 cd-vols= no-issue=6 article-no= start-page=597 end-page=603 dt-received= dt-revised= dt-accepted= dt-pub-year=2004 dt-pub=20042 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Effects of demethylating agent 5-aza-2 '-deoxycytidine and histone deacetylase inhibitor FR901228 on maspin gene expression in oral cancer cell lines en-subtitle= kn-subtitle= en-abstract= kn-abstract=

Maspin, which belongs to the serine protease inhibitor (serpin) superfamily, has been proposed as a potent tumor suppressor that inhibits cell motility, invasion, angiogenesis, and metastasis. In the present study, we examined the effects of 5-aza-2'-deoxycytidine (5-aza-dC), a demethylating agent, and FR901228, a histone deacetylase (HDAC) inhibitor, on maspin expression in oral cancer cell tines. The expression levels of maspin mRNA were divided into two groups, which was the maspin tow-expressed and high-expressed cell lines in the 12 oral cancer cell lines. The maspin promoter contained only a few methylated CpG sites in the maspin low-expressed cell lines. Moreover, the methylation status was not altered after 5-aza-dC treatment. However, the transcription of the maspin gene was clearly increased following 5-aza-dC treatment in a number of oral cancer cell tines. These results imply that an action of 5-aza-dC is separate from induction of promoter demethylation. Treatment with FR901228 resulted in a time-dependent stimulation of the re-expression of maspin mRNA as early as 4 h after treatment in the maspin downregulated cells. The re-expression of the maspin gene may contribute to the recuperation of biological functions linked to FR901228 such as an inhibitory effect on tumor angiogenesis and cell invasion. These results indicate that maspin and its target genes may be excellent leads for future studies on the potential benefits of FR901228, a HDAC inhibitor, in cancer therapy.

en-copyright= kn-copyright= en-aut-name=MurakamiJun en-aut-sei=Murakami en-aut-mei=Jun kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=AsaumiJun-ichi en-aut-sei=Asaumi en-aut-mei=Jun-ichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=MakiYuu en-aut-sei=Maki en-aut-mei=Yuu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=TsujigiwaHidetsugu en-aut-sei=Tsujigiwa en-aut-mei=Hidetsugu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=KurodaMasahiro en-aut-sei=Kuroda en-aut-mei=Masahiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=NagaiNoriyuki en-aut-sei=Nagai en-aut-mei=Noriyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=YanagiYoshinobu en-aut-sei=Yanagi en-aut-mei=Yoshinobu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=InoueTetsuyoshi en-aut-sei=Inoue en-aut-mei=Tetsuyoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=KawasakiShoji en-aut-sei=Kawasaki en-aut-mei=Shoji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=TanakaNoriaki en-aut-sei=Tanaka en-aut-mei=Noriaki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=MatsubaraNagahide en-aut-sei=Matsubara en-aut-mei=Nagahide kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=KishiKanji en-aut-sei=Kishi en-aut-mei=Kanji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University affil-num=3 en-affil= kn-affil=Okayama University affil-num=4 en-affil= kn-affil=Okayama University affil-num=5 en-affil= kn-affil=Okayama University affil-num=6 en-affil= kn-affil=Okayama University affil-num=7 en-affil= kn-affil=Okayama University affil-num=8 en-affil= kn-affil=Okayama University affil-num=9 en-affil= kn-affil=Okayama University affil-num=10 en-affil= kn-affil=Okayama University affil-num=11 en-affil= kn-affil=Okayama University affil-num=12 en-affil= kn-affil=Okayama University en-keyword=maspin kn-keyword=maspin en-keyword=methylation kn-keyword=methylation en-keyword=5-aza-2 '-deoxycytidine kn-keyword=5-aza-2 '-deoxycytidine en-keyword=FR901228 kn-keyword=FR901228 END