Habitat-Based Radiomics for Revealing Tumor Heterogeneity and Predicting Residual Cancer Burden Classification in Breast Cancer.

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Title: Habitat-Based Radiomics for Revealing Tumor Heterogeneity and Predicting Residual Cancer Burden Classification in Breast Cancer.
Authors: Li ZY; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China., Wu SN; Department of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Ultrasound, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China., Lin P; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China., Jiang MC; Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China., Chen C; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China., Lin WJ; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China., Xue ES; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China., Liang RX; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China., Lin ZH; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China. Electronic address: 377579875@qq.com.
Source: Clinical breast cancer [Clin Breast Cancer] 2025 Jul; Vol. 25 (5), pp. 444-454. Date of Electronic Publication: 2025 Feb 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100898731 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1938-0666 (Electronic) Linking ISSN: 15268209 NLM ISO Abbreviation: Clin Breast Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Habitat-Based Radiomics for Revealing Tumor Heterogeneity and Predicting Residual Cancer Burden Classification in Breast Cancer.
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  Data: <searchLink fieldCode="AU" term="%22Li+ZY%22">Li ZY</searchLink>; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.<br /><searchLink fieldCode="AU" term="%22Wu+SN%22">Wu SN</searchLink>; Department of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Ultrasound, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.<br /><searchLink fieldCode="AU" term="%22Lin+P%22">Lin P</searchLink>; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.<br /><searchLink fieldCode="AU" term="%22Jiang+MC%22">Jiang MC</searchLink>; Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.<br /><searchLink fieldCode="AU" term="%22Lin+WJ%22">Lin WJ</searchLink>; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.<br /><searchLink fieldCode="AU" term="%22Xue+ES%22">Xue ES</searchLink>; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.<br /><searchLink fieldCode="AU" term="%22Liang+RX%22">Liang RX</searchLink>; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.<br /><searchLink fieldCode="AU" term="%22Lin+ZH%22">Lin ZH</searchLink>; Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China. Electronic address: 377579875@qq.com.
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  Data: <searchLink fieldCode="JN" term="%22100898731%22">Clinical breast cancer</searchLink> [Clin Breast Cancer] 2025 Jul; Vol. 25 (5), pp. 444-454. <i>Date of Electronic Publication: </i>2025 Feb 04.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100898731 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1938-0666 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215268209%22">15268209 </searchLink><i>NLM ISO Abbreviation: </i>Clin Breast Cancer <i>Subsets: </i>MEDLINE
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.clbc.2025.01.014
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      – Code: eng
        Text: English
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        StartPage: 444
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      – TitleFull: Habitat-Based Radiomics for Revealing Tumor Heterogeneity and Predicting Residual Cancer Burden Classification in Breast Cancer.
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            – D: 01
              M: 07
              Text: 2025 Jul
              Type: published
              Y: 2025
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