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Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.

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Title: Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.
Authors: Lin P; Department of Medical Ultrasound, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China., Zheng JM; Department of Radiology, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China., Liu CW; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China., Tang QQ; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China., Pang JS; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China., Qin Q; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China., Lin ZH; Department of Medical Ultrasound, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China. Electronic address: 377579875@qq.com., Yang H; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China. Electronic address: yanghong@gxmu.edu.cn.
Source: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 2025 Sep; Vol. 124, pp. 102586. Date of Electronic Publication: 2025 Jun 18.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 8806104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0771 (Electronic) Linking ISSN: 08956111 NLM ISO Abbreviation: Comput Med Imaging Graph Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.
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  Data: <searchLink fieldCode="AU" term="%22Lin+P%22">Lin P</searchLink>; Department of Medical Ultrasound, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Zheng+JM%22">Zheng JM</searchLink>; Department of Radiology, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Liu+CW%22">Liu CW</searchLink>; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China.<br /><searchLink fieldCode="AU" term="%22Tang+QQ%22">Tang QQ</searchLink>; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China.<br /><searchLink fieldCode="AU" term="%22Pang+JS%22">Pang JS</searchLink>; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China.<br /><searchLink fieldCode="AU" term="%22Qin+Q%22">Qin Q</searchLink>; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China.<br /><searchLink fieldCode="AU" term="%22Lin+ZH%22">Lin ZH</searchLink>; Department of Medical Ultrasound, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China. Electronic address: 377579875@qq.com.<br /><searchLink fieldCode="AU" term="%22Yang+H%22">Yang H</searchLink>; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China. Electronic address: yanghong@gxmu.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%228806104%22">Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society</searchLink> [Comput Med Imaging Graph] 2025 Sep; Vol. 124, pp. 102586. <i>Date of Electronic Publication: </i>2025 Jun 18.
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8806104 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0771 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208956111%22">08956111 </searchLink><i>NLM ISO Abbreviation: </i>Comput Med Imaging Graph <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.compmedimag.2025.102586
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      – Code: eng
        Text: English
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        StartPage: 102586
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      – TitleFull: Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.
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              M: 09
              Text: 2025 Sep
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              Y: 2025
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              Value: 124
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