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Differentiation Between Fibro-Adipose Vascular Anomaly and Intramuscular Venous Malformation Using Grey-Scale Ultrasound-Based Radiomics and Machine Learning.

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Title: Differentiation Between Fibro-Adipose Vascular Anomaly and Intramuscular Venous Malformation Using Grey-Scale Ultrasound-Based Radiomics and Machine Learning.
Authors: Hu WJ; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China., Wu G; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China., Yuan JJ; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China., Ma BX; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China., Liu YH; Department of Ultrasound, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China., Guo XN; Department of Hemangioma and Vascular Malformations, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China., Dong CX; Department of Hemangioma and Vascular Malformations, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China., Kang H; Department of Pathology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China., Yang X; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China., Li JC; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Source: Ultrasonic imaging [Ultrason Imaging] 2025 Nov; Vol. 47 (6), pp. 223-231. Date of Electronic Publication: 2025 Aug 13.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: England NLM ID: 7909167 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0910 (Electronic) Linking ISSN: 01617346 NLM ISO Abbreviation: Ultrason Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Differentiation Between Fibro-Adipose Vascular Anomaly and Intramuscular Venous Malformation Using Grey-Scale Ultrasound-Based Radiomics and Machine Learning.
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  Data: <searchLink fieldCode="AU" term="%22Hu+WJ%22">Hu WJ</searchLink>; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Wu+G%22">Wu G</searchLink>; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Yuan+JJ%22">Yuan JJ</searchLink>; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Ma+BX%22">Ma BX</searchLink>; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Liu+YH%22">Liu YH</searchLink>; Department of Ultrasound, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Guo+XN%22">Guo XN</searchLink>; Department of Hemangioma and Vascular Malformations, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Dong+CX%22">Dong CX</searchLink>; Department of Hemangioma and Vascular Malformations, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Kang+H%22">Kang H</searchLink>; Department of Pathology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Yang+X%22">Yang X</searchLink>; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+JC%22">Li JC</searchLink>; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
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  Data: <searchLink fieldCode="JN" term="%227909167%22">Ultrasonic imaging</searchLink> [Ultrason Imaging] 2025 Nov; Vol. 47 (6), pp. 223-231. <i>Date of Electronic Publication: </i>2025 Aug 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage%22">Sage </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>7909167 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1096-0910 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201617346%22">01617346 </searchLink><i>NLM ISO Abbreviation: </i>Ultrason Imaging <i>Subsets: </i>MEDLINE
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        Value: 10.1177/01617346251342608
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            – D: 01
              M: 11
              Text: 2025 Nov
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              Y: 2025
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