ID | 65492 |
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Shimizu, Yudai
Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Kuroda, Masahiro
Radiological Technology, Graduate School of Health Sciences, Okayama University
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Nakamitsu, Yuki
Radiological Technology, Graduate School of Health Sciences, Okayama University
Al-Hammad, Wlla E.
Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Yoshida, Suzuka
Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Fukumura, Yuka
Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Nakamura, Yoshihide
Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Kuroda, Kazuhiro
Radiological Technology, Graduate School of Health Sciences, Okayama University
Kamizaki, Ryo
Radiological Technology, Graduate School of Health Sciences, Okayama University
Imajoh, Satoshi
Radiological Technology, Graduate School of Health Sciences, Okayama University
Tanabe, Yoshinori
Radiological Technology, Graduate School of Health Sciences, Okayama University
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Sugimoto, Kohei
Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University
Oita, Masataka
Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University
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Sugianto, Irfan
Department of Oral Radiology, Faculty of Dentistry, Hasanuddin University
Bamgbose, Babatunde O.
Department of Oral Diagnostic Sciences, Faculty of Dentistry, Bayero University
Yanagi, Yoshinobu
Department of Dental Informatics, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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Asaumi, Junichi
Department of Oral and Maxillofacial Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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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.
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Keywords | simple diffusion kurtosis imaging
mean kurtosis
clinical trial
head and neck tumor
magnetic resonance imaging
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Amo Type | Original Article
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Publication Title |
Acta Medica Okayama
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Published Date | 2023-06
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Volume | volume77
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Issue | issue3
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Publisher | Okayama University Medical School
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Start Page | 273
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End Page | 280
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ISSN | 0386-300X
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NCID | AA00508441
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Content Type |
Journal Article
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language |
English
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Copyright Holders | Copyright Ⓒ 2023 by Okayama University Medical School
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File Version | publisher
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Refereed |
True
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