Multi-organ non-contrast computed tomography radiomics model to predict hepatic encephalopathy in patients with cirrhosis and hepatorenal failure.

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Title: Multi-organ non-contrast computed tomography radiomics model to predict hepatic encephalopathy in patients with cirrhosis and hepatorenal failure.
Authors: Cao JM; The First Clinical College of Jinan University, Department of Radiology, Guangzhou, China.; The Second Clinical Medical School of North Sichuan Medical College/Nanchong Central Hospital, Department of Radiology, Nanchong, China., Zhang MY; Nanjing University, Department of Computer Science, Xianlin Campus, Nanjing, China., Ding XM; The Second Clinical Medical School of North Sichuan Medical College/Nanchong Central Hospital, Department of Radiology, Nanchong, China., Zhou HY; Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China., Zhang XM; The First Clinical College of Jinan University, Department of Radiology, Guangzhou, China.; Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China., Chen TW; The Second Affiliated Hospital of Chongqing Medical University, Department of Radiology, Chongqing, China.
Source: Diagnostic and interventional radiology (Ankara, Turkey) [Diagn Interv Radiol] 2025 Dec 11. Date of Electronic Publication: 2025 Dec 11.
Publication Type: Journal Article
Journal Info: Publisher: Galenos Publishing House Country of Publication: Turkey NLM ID: 101241152 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1305-3612 (Electronic) Linking ISSN: 13053825 NLM ISO Abbreviation: Diagn Interv Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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An: 41378493
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  Data: Multi-organ non-contrast computed tomography radiomics model to predict hepatic encephalopathy in patients with cirrhosis and hepatorenal failure.
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  Data: <searchLink fieldCode="AU" term="%22Cao+JM%22">Cao JM</searchLink>; The First Clinical College of Jinan University, Department of Radiology, Guangzhou, China.; The Second Clinical Medical School of North Sichuan Medical College/Nanchong Central Hospital, Department of Radiology, Nanchong, China.<br /><searchLink fieldCode="AU" term="%22Zhang+MY%22">Zhang MY</searchLink>; Nanjing University, Department of Computer Science, Xianlin Campus, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Ding+XM%22">Ding XM</searchLink>; The Second Clinical Medical School of North Sichuan Medical College/Nanchong Central Hospital, Department of Radiology, Nanchong, China.<br /><searchLink fieldCode="AU" term="%22Zhou+HY%22">Zhou HY</searchLink>; Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.<br /><searchLink fieldCode="AU" term="%22Zhang+XM%22">Zhang XM</searchLink>; The First Clinical College of Jinan University, Department of Radiology, Guangzhou, China.; Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.<br /><searchLink fieldCode="AU" term="%22Chen+TW%22">Chen TW</searchLink>; The Second Affiliated Hospital of Chongqing Medical University, Department of Radiology, Chongqing, China.
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  Data: <searchLink fieldCode="JN" term="%22101241152%22">Diagnostic and interventional radiology (Ankara, Turkey)</searchLink> [Diagn Interv Radiol] 2025 Dec 11. <i>Date of Electronic Publication: </i>2025 Dec 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Galenos+Publishing+House%22">Galenos Publishing House </searchLink><i>Country of Publication: </i>Turkey <i>NLM ID: </i>101241152 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1305-3612 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213053825%22">13053825 </searchLink><i>NLM ISO Abbreviation: </i>Diagn Interv Radiol <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.4274/dir.2025.253655
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      – Code: eng
        Text: English
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      – TitleFull: Multi-organ non-contrast computed tomography radiomics model to predict hepatic encephalopathy in patients with cirrhosis and hepatorenal failure.
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            NameFull: Cao JM
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            NameFull: Zhang MY
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            NameFull: Ding XM
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            NameFull: Zhou HY
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            NameFull: Zhang XM
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            – D: 11
              M: 12
              Text: 2025 Dec 11
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              Value: 1305-3612
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            – TitleFull: Diagnostic and interventional radiology (Ankara, Turkey)
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