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CT Radiomics Features of Abdominal Adipose and Muscle Tissues Can Predict the Postoperative Early Recurrence of Hepatocellular Carcinoma.

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Title: CT Radiomics Features of Abdominal Adipose and Muscle Tissues Can Predict the Postoperative Early Recurrence of Hepatocellular Carcinoma.
Authors: Shi S; Department of Radiology, Qilu Hospital of Shandong University, No. 44, West Culture Road, Lixia District, Jinan, Shandong, 250012, China (S.S., Y.X.Z., D.X.Y.)., Mao XC; Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China (X.C.M.)., Cao YQ; Department of Radiology, Zibo First Hospital of Weifang Medical University, Zibo, Shandong 255000, China (Y.Q.C.)., Zhou YY; Department of Gastroenterology, Jinan Central Hospital, Shandong University, Jinan, Shandong 250012, China (Y.Y.Z.)., Zhao YX; Department of Radiology, Qilu Hospital of Shandong University, No. 44, West Culture Road, Lixia District, Jinan, Shandong, 250012, China (S.S., Y.X.Z., D.X.Y.)., Yu DX; Department of Radiology, Qilu Hospital of Shandong University, No. 44, West Culture Road, Lixia District, Jinan, Shandong, 250012, China (S.S., Y.X.Z., D.X.Y.). Electronic address: yudexin0330@sina.com.
Source: Academic radiology [Acad Radiol] 2023 Oct 27. Date of Electronic Publication: 2023 Oct 27.
Publication Type: Journal Article
Journal Info: Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4046 (Electronic) Linking ISSN: 10766332 NLM ISO Abbreviation: Acad Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: CT Radiomics Features of Abdominal Adipose and Muscle Tissues Can Predict the Postoperative Early Recurrence of Hepatocellular Carcinoma.
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  Data: <searchLink fieldCode="AU" term="%22Shi+S%22">Shi S</searchLink>; Department of Radiology, Qilu Hospital of Shandong University, No. 44, West Culture Road, Lixia District, Jinan, Shandong, 250012, China (S.S., Y.X.Z., D.X.Y.).<br /><searchLink fieldCode="AU" term="%22Mao+XC%22">Mao XC</searchLink>; Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China (X.C.M.).<br /><searchLink fieldCode="AU" term="%22Cao+YQ%22">Cao YQ</searchLink>; Department of Radiology, Zibo First Hospital of Weifang Medical University, Zibo, Shandong 255000, China (Y.Q.C.).<br /><searchLink fieldCode="AU" term="%22Zhou+YY%22">Zhou YY</searchLink>; Department of Gastroenterology, Jinan Central Hospital, Shandong University, Jinan, Shandong 250012, China (Y.Y.Z.).<br /><searchLink fieldCode="AU" term="%22Zhao+YX%22">Zhao YX</searchLink>; Department of Radiology, Qilu Hospital of Shandong University, No. 44, West Culture Road, Lixia District, Jinan, Shandong, 250012, China (S.S., Y.X.Z., D.X.Y.).<br /><searchLink fieldCode="AU" term="%22Yu+DX%22">Yu DX</searchLink>; Department of Radiology, Qilu Hospital of Shandong University, No. 44, West Culture Road, Lixia District, Jinan, Shandong, 250012, China (S.S., Y.X.Z., D.X.Y.). Electronic address: yudexin0330@sina.com.
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  Data: <searchLink fieldCode="JN" term="%229440159%22">Academic radiology</searchLink> [Acad Radiol] 2023 Oct 27. <i>Date of Electronic Publication: </i>2023 Oct 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Association+Of+University+Radiologists%22">Association Of University Radiologists </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9440159 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-4046 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210766332%22">10766332 </searchLink><i>NLM ISO Abbreviation: </i>Acad Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.acra.2023.10.001
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        Text: English
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      – TitleFull: CT Radiomics Features of Abdominal Adipose and Muscle Tissues Can Predict the Postoperative Early Recurrence of Hepatocellular Carcinoma.
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            NameFull: Shi S
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            NameFull: Mao XC
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            – D: 27
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              Text: 2023 Oct 27
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              Y: 2023
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            – TitleFull: Academic radiology
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