start-ver=1.4
cd-journal=joma
no-vol=65
cd-vols=
no-issue=4
article-no=
start-page=265
end-page=268
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2011
dt-pub=201108
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Preoperative Graft Volume Assessment with 3D-CT Volumetry in Living-Donor Lobar Lung Transplantations
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=To determine the effectiveness of living-donor lobar lung transplantation (LDLLT), it is necessary to predict the recipient's postoperative lung function. Traditionally, Date's formula, also called the segmental ratio, has used the number of lung segments to estimate the forced vital capacity (FVC) of grafts in LDLLT. To provide a more precise estimate of graft FVC, we calculated the volumes of the lower lobe and total lung using three-dimensional computed tomography (3D-CT) and the volume ratio between them. We calculated the volume ratio in 52 donors and tested the difference between the segmental volume ratios with a one-tailed t-test. We also calculated the predicted graft FVC in 21 LDLLTs using the segmental ratio pFVC(c) and the volume ratio pFVC(v), and then found the Pearson's correlation coefficients for both pFVC(c) and pFVC(v) with the recipients' actual FVC (rFVC) measured spirometrically 6 months after surgery. Significant differences were found between the segmental ratio and the average volume ratio for both sides (right, p＝0.03;left, p＝0.0003). Both pFVC(c) and pFVC(v) correlated significantly with rFVC at 6 months after surgery (p＝0.007 and 0.006). Both the conventional and the volumetric methods provided FVC predictions that correlated significantly with measured postoperative FVC.
en-copyright=
kn-copyright=

en-aut-name=KojimaKatsuhide
en-aut-sei=Kojima
en-aut-mei=Katsuhide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=KatoKatsuya
en-aut-sei=Kato
en-aut-mei=Katsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=OtoTakahiro
en-aut-sei=Oto
en-aut-mei=Takahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=MitsuhashiToshiharu
en-aut-sei=Mitsuhashi
en-aut-mei=Toshiharu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=ShinyaTakayoshi
en-aut-sei=Shinya
en-aut-mei=Takayoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=SeiTetsuro
en-aut-sei=Sei
en-aut-mei=Tetsuro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=OkumuraYoshihiro
en-aut-sei=Okumura
en-aut-mei=Yoshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=SatoShuhei
en-aut-sei=Sato
en-aut-mei=Shuhei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=MiyoshiShinichiro
en-aut-sei=Miyoshi
en-aut-mei=Shinichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
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=10
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=2
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=3
en-affil=
kn-affil=Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=4
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=5
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=6
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=7
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=8
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=9
en-affil=
kn-affil=Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=10
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
en-keyword=living-donor lobar lung transplantation
kn-keyword=living-donor lobar lung transplantation
en-keyword=3D-CT volumetry
kn-keyword=3D-CT volumetry
END

start-ver=1.4
cd-journal=joma
no-vol=47
cd-vols=
no-issue=2
article-no=
start-page=117
end-page=120
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=1993
dt-pub=199304
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Multivariate analysis of magnetic resonance imaging of focal hepatic lesions.
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=<p>A total of 124 lesions from 1 to 6cm in diameter, including 31 cavernous hemangiomas, 32 metastases and 61 hepatocellular carcinomas (HCC) were analyzed to study the usefulness of magnetic resonance imaging (MRI) at 0.5 Tesla to differentiate focal hepatic lesions on the basis of qualitative criteria. Each focal hepatic lesion was assessed for shape, internal architecture and signal intensity relative to normal liver parenchyma. While all cavernous hemangiomas and metastases except one lesion could be detected, detection rate of HCC was significantly inferior to that of the other two diseases. A tumor capsule and a hyperintense focus on T1-weighted images were demonstrated in only HCC lesions in strong contrast with the other two diseases; however, metastases with slow-growing characteristics or subacute hematoma may appear as similar images. Cavernous hemangiomas appeared markedly hyperintense on T2-weighted images in 23 of 31 lesions, but one metastasis and one HCC had similar images. A multivariate analysis of several MRI resulted in the following mean discriminant scores: cavernous hemangioma, -1.2652; metastasis, 0.1830; and HCC, 0.7138. It appeared to be possible to differentiate the three diseases with 84.4 percent accuracy.</p>

en-copyright=
kn-copyright=

en-aut-name=FujishimaMamoru
en-aut-sei=Fujishima
en-aut-mei=Mamoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuemitsuIchizou
en-aut-sei=Suemitsu
en-aut-mei=Ichizou
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SeiTetsurou
en-aut-sei=Sei
en-aut-mei=Tetsurou
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=TakedaYoshihiro
en-aut-sei=Takeda
en-aut-mei=Yoshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=HirakiYoshio
en-aut-sei=Hiraki
en-aut-mei=Yoshio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
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 Univeristy

affil-num=4
en-affil=
kn-affil=Okayama  University

affil-num=5
en-affil=
kn-affil=Okayama University
en-keyword=magnetic resonance imaging
kn-keyword=magnetic resonance imaging
en-keyword=liver neoplasms
kn-keyword=liver neoplasms
en-keyword=multivariate analysis
kn-keyword=multivariate analysis
END

start-ver=1.4
cd-journal=joma
no-vol=106
cd-vols=
no-issue=1-2
article-no=
start-page=163
end-page=171
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=1994
dt-pub=199402
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Quantitative analysis of cardiac function using cine MR
kn-title=シネ MRI の画像解析による心機能の定量評価に関する研究
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Non-invasive techniques for measuring the dynamic behavior of the cardiac ventricle can be invaluable tool for diagnosing heart disease. In this paper, we present methods for quantia-tive analysis of cardiac function using magnetic rasonance images. A 256×256 magnetic resonance transaxial image of the cardiac ventricle was obtained from a healthy subject. After gray level thresholding and region segmentation, the bounday of the ventricular chamber was extracted. Then, the boundaries of the ventricular chamber were displayed therr-dimensionally using the Z-buffer algoritm. Thus, ventricular volume and ejection fraction were calcullated. In our example, left ventricular ejection fraction was 61%. These results agree with the corresponding data obtained by the echo-cardiography.
en-copyright=
kn-copyright=

en-aut-name=SeiTetsurou
en-aut-sei=Sei
en-aut-mei=Tetsurou
kn-aut-name=清哲朗
kn-aut-sei=清
kn-aut-mei=哲朗
aut-affil-num=1
ORCID=

affil-num=1
en-affil=
kn-affil=岡山大学医学部放射線医学教室
en-keyword=MRI
kn-keyword=MRI
en-keyword=cardiac function
kn-keyword=cardiac function
en-keyword=image processing
kn-keyword=image processing
en-keyword=three dimensional raconstruction
kn-keyword=three dimensional raconstruction
END

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=1994
dt-pub=19940325
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=シネMRIの画像解析による心機能の定量評価に関する研究
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=

en-aut-name=
en-aut-sei=
en-aut-mei=
kn-aut-name=清哲朗
kn-aut-sei=清
kn-aut-mei=哲朗
aut-affil-num=1
ORCID=

affil-num=1
en-affil=
kn-affil=岡山大学
END