Deep learning for staging liver fibrosis on CT: a pilot study

European Radiology
Koichiro YasakaShigeru Kiryu

Abstract

To investigate whether liver fibrosis can be staged by deep learning techniques based on CT images. This clinical retrospective study, approved by our institutional review board, included 496 CT examinations of 286 patients who underwent dynamic contrast-enhanced CT for evaluations of the liver and for whom histopathological information regarding liver fibrosis stage was available. The 396 portal phase images with age and sex data of patients (F0/F1/F2/F3/F4 = 113/36/56/66/125) were used for training a deep convolutional neural network (DCNN); the data for the other 100 (F0/F1/F2/F3/F4 = 29/9/14/16/32) were utilised for testing the trained network, with the histopathological fibrosis stage used as reference. To improve robustness, additional images for training data were generated by rotating or parallel shifting the images, or adding Gaussian noise. Supervised training was used to minimise the difference between the liver fibrosis stage and the fibrosis score obtained from deep learning based on CT images (FDLCT score) output by the model. Testing data were input into the trained DCNNs to evaluate their performance. The FDLCT scores showed a significant correlation with liver fibrosis stage (Spearman's correlation coefficient ...Continue Reading

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Citations

Dec 7, 2018·Japanese Journal of Radiology·Daiju UedaYukio Miki
Jun 20, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Martina SolliniMargarita Kirienko
Sep 5, 2018·Radiology·Andrew D Smith
Feb 21, 2019·World Journal of Gastroenterology : WJG·Li-Qiang ZhouChristoph F Dietrich
Dec 24, 2018·Japanese Journal of Radiology·Yasuyuki KobayashiHitomi Kobayashi
Mar 21, 2020·Korean Journal of Radiology : Official Journal of the Korean Radiological Society·Hyo Jung ParkSeung Soo Lee
Jun 20, 2020·International Journal of Computer Assisted Radiology and Surgery·Qiuju LiQiyong Guo
Jan 8, 2021·BMC Gastroenterology·Pakanat DecharatanachartSombat Treeprasertsuk
Mar 13, 2021·Journal of Gastroenterology and Hepatology·Yu Sub SungSeung Soo Lee
May 20, 2021·Liver International : Official Journal of the International Association for the Study of the Liver·Roi AntebyShelly Soffer
Jul 24, 2021·Journal of Computer Assisted Tomography·Linda C ChuElliot K Fishman
Jul 17, 2021·Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver·Clara BalsanoUNKNOWN Special Interest Group (SIG) Artificial Intelligence and Liver Diseases; Italian Association for the Study of the Liver (AIS
Dec 2, 2021·Japanese Journal of Radiology·Koichiro YasakaShigeru Kiryu
Jan 14, 2022·Abdominal Radiology·Sudhakar K Venkatesh, Michael S Torbenson
Oct 27, 2021··Jing Zhang, Ahliddin Shomirov

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