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Deep-learning-based prediction of significant portal hypertension with single cross-sectional non-enhanced CT.

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Title: Deep-learning-based prediction of significant portal hypertension with single cross-sectional non-enhanced CT.
Authors: Yamamoto A; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan. loveakirayamamoto@gmail.com., Sato S; Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA, USA., Ueda D; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Walston SL; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Kageyama K; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Jogo A; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Nakano M; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Kotani K; Department of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Uchida-Kobayashi S; Department of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Kawada N; Department of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Miki Y; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Source: European radiology [Eur Radiol] 2026 Mar; Vol. 36 (3), pp. 1899-1908. Date of Electronic Publication: 2025 Sep 22.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep-learning-based prediction of significant portal hypertension with single cross-sectional non-enhanced CT.
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  Data: <searchLink fieldCode="AU" term="%22Yamamoto+A%22">Yamamoto A</searchLink>; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan. loveakirayamamoto@gmail.com.<br /><searchLink fieldCode="AU" term="%22Sato+S%22">Sato S</searchLink>; Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Ueda+D%22">Ueda D</searchLink>; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Walston+SL%22">Walston SL</searchLink>; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Kageyama+K%22">Kageyama K</searchLink>; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Jogo+A%22">Jogo A</searchLink>; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Nakano+M%22">Nakano M</searchLink>; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Kotani+K%22">Kotani K</searchLink>; Department of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Uchida-Kobayashi+S%22">Uchida-Kobayashi S</searchLink>; Department of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Kawada+N%22">Kawada N</searchLink>; Department of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Miki+Y%22">Miki Y</searchLink>; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 Mar; Vol. 36 (3), pp. 1899-1908. <i>Date of Electronic Publication: </i>2025 Sep 22.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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              Text: 2026 Mar
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