Prediction of Liver Fibrosis Using CT Under Respiratory Control: New Attempt Using Deformation Vectors Obtained by Non-rigid Registration Technique
| Autor: | Hiroshi Honda, Yasuhiro Ushijima, Daisuke Kakihara, Akihiro Nishie, Keisuke Ishimatsu, Sadato Akahori, Tomoharu Yoshizumi, Seiichiro Takao, Nobuhiro Fujita, Yoshiki Asayama, Kousei Ishigami, Yuanzhong Li, Koichiro Morita, Kenichi Kohashi, Tomohiro Nakayama, Yukihisa Takayama |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Liver Cirrhosis Male Cancer Research Coefficient of variation computer.software_genre Standard deviation Fibrosis Voxel Humans Medicine Expiration Aged Rank correlation Aged 80 and over medicine.diagnostic_test Receiver operating characteristic business.industry General Medicine Middle Aged medicine.disease ROC Curve Oncology Respiratory Mechanics Female Elastography Tomography X-Ray Computed business Nuclear medicine computer |
| Zdroj: | Anticancer Research. 39:1417-1424 |
| ISSN: | 1791-7530 0250-7005 |
| Popis: | Aim To investigate whether liver fibrosis can be predicted by quantifying the deformity of the liver obtained based on computed tomographic (CT) images scanned under respiratory control. Materials and methods For dynamic CT of 47 patients, portal venous and equilibrium phases were scanned during inspiration and expiration, respectively. After rigid registration of the two images, non-rigid registration of the liver was performed, and the amount and direction of each voxel's shift during non-rigid registration was defined as the deformation vector. The correlation of each CT parameter for the obtained deformation vectors with the pathologically-proven degree of liver fibrosis was assessed using Spearman's rank correlation test. Receiver operating characteristic curve analysis was conducted for prediction of liver fibrosis. Results The standard deviation, coefficient of variance (CV) and skewness were significantly negatively correlated with the degree of liver fibrosis (p=0.030, 0.009 and 0.037, respectively). Of these measures, CV was best correlated and significantly decreased as liver fibrosis progressed (rho=-0.376). CV showed accuracies of 66.0-70.2%, and the areas under curves were 0.654-0.727 for prediction of fibrosis of grade F1 or greater, F2 or greater, F3 or greater and F4 fibrosis. Conclusion The deformation vector is a potential CT parameter for evaluating liver fibrosis. |
| Databáze: | OpenAIRE |
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