JaLCDOI 10.18926/AMO/46852
FullText URL 65_4_265.pdf
Author Kojima, Katsuhide| Kato, Katsuya| Oto, Takahiro| Mitsuhashi, Toshiharu| Shinya, Takayoshi| Sei, Tetsuro| Okumura, Yoshihiro| Sato, Shuhei| Miyoshi, Shinichiro| Kanazawa, Susumu|
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.
Keywords living-donor lobar lung transplantation 3D-CT volumetry
Amo Type Original Article
Published Date 2011-08
Publication Title Acta Medica Okayama
Volume volume65
Issue issue4
Publisher Okayama University Medical School
Start Page 265
End Page 268
ISSN 0386-300X
NCID AA00508441
Content Type Journal Article
language 英語
Copyright Holders CopyrightⒸ 2011 by Okayama University Medical School
File Version publisher
Refereed True
PubMed ID 21860533
Web of Sience KeyUT 000294236700007
JaLCDOI 10.18926/AMO/31576
FullText URL fulltext.pdf
Author Fujishima, Mamoru| Suemitsu, Ichizou| Sei, Tetsurou| Takeda, Yoshihiro| Hiraki, Yoshio|
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>
Keywords magnetic resonance imaging liver neoplasms multivariate analysis
Amo Type Article
Published Date 1993-04
Publication Title Acta Medica Okayama
Volume volume47
Issue issue2
Publisher Okayama University Medical School
Start Page 117
End Page 120
ISSN 0386-300X
NCID AA00508441
Content Type Journal Article
language 英語
File Version publisher
Refereed True
PubMed ID 8389524
Web of Sience KeyUT A1993LA45200008
Author Sei, Tetsurou|
Published Date 1994-02
Publication Title 岡山医学会雑誌
Volume volume106
Issue issue1-2
Content Type Journal Article
Author 清 哲朗|
Published Date 1994-03-25
Publication Title
Content Type Thesis or Dissertation