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Predicting Breast Cancer Pathologic Complete Response after Neoadjuvant Chemotherapy Using Bimodal US and MRI.

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Title: Predicting Breast Cancer Pathologic Complete Response after Neoadjuvant Chemotherapy Using Bimodal US and MRI.
Authors: Wang XY; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China., Huang JX; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.; Department of Liver Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China., Liu FT; Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China., Huang HN; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China., Mei JS; Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China., Huang GL; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China., Zhang YT; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China., Xiao MQ; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China., Xu YF; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China., Wei MJ; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China., Pei XQ; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.
Source: Radiology. Imaging cancer [Radiol Imaging Cancer] 2025 Nov; Vol. 7 (6), pp. e240493.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101765309 Publication Model: Print Cited Medium: Internet ISSN: 2638-616X (Electronic) Linking ISSN: 2638616X NLM ISO Abbreviation: Radiol Imaging Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting Breast Cancer Pathologic Complete Response after Neoadjuvant Chemotherapy Using Bimodal US and MRI.
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  Data: <searchLink fieldCode="AU" term="%22Wang+XY%22">Wang XY</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Huang+JX%22">Huang JX</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.; Department of Liver Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Liu+FT%22">Liu FT</searchLink>; Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Huang+HN%22">Huang HN</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22Mei+JS%22">Mei JS</searchLink>; Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Huang+GL%22">Huang GL</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YT%22">Zhang YT</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22Xiao+MQ%22">Xiao MQ</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22Xu+YF%22">Xu YF</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22Wei+MJ%22">Wei MJ</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22Pei+XQ%22">Pei XQ</searchLink>; Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.
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  Data: <searchLink fieldCode="JN" term="%22101765309%22">Radiology. Imaging cancer</searchLink> [Radiol Imaging Cancer] 2025 Nov; Vol. 7 (6), pp. e240493.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Radiological+Society+of+North+America%2C+Inc%22">Radiological Society of North America, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101765309 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2638-616X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222638616X%22">2638616X </searchLink><i>NLM ISO Abbreviation: </i>Radiol Imaging Cancer <i>Subsets: </i>MEDLINE
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        Value: 10.1148/rycan.240493
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        Text: English
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        StartPage: e240493
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      – TitleFull: Predicting Breast Cancer Pathologic Complete Response after Neoadjuvant Chemotherapy Using Bimodal US and MRI.
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            – D: 01
              M: 11
              Text: 2025 Nov
              Type: published
              Y: 2025
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