Erratum for: MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer

HomeRadiologyVol. 308, No. 1 Previous CommunicationsFree AccessErratumErratum for: MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast CancerZhenwei Shi, Xiaomei Huang, Ziliang Cheng, Zeyan Xu, Huan Lin, Chen Liu, Xiaobo Chen, Chunling Liu, Changhong Liang, Cheng Lu, Yanfen Cui, Chu Han, Jinrong Qu, Jun Shen, Zaiyi LiZhenwei Shi, Xiaomei Huang, Ziliang Cheng, Zeyan Xu, Huan Lin, Chen Liu, Xiaobo Chen, Chunling Liu, Changhong Liang, Cheng Lu, Yanfen Cui, Chu Han, Jinrong Qu, Jun Shen, Zaiyi LiZhenwei ShiXiaomei HuangZiliang ChengZeyan XuHuan LinChen LiuXiaobo ChenChunling LiuChanghong LiangCheng LuYanfen CuiChu HanJinrong QuJun ShenZaiyi LiPublished Online:Jul 25 2023https://doi.org/10.1148/radiol.239021MoreSectionsPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In Originally published in:https://doi.org/10.1148/radiol.222830MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast CancerZhenwei Shi, Xiaomei Huang, Ziliang Cheng, Zeyan Xu, Huan Lin, Chen Liu, Xiaobo Chen, Chunling Liu, Changhong Liang, Cheng Lu, Yanfen Cui, Chu Han, Jinrong Qu, Jun Shen, Zaiyi LiErratum in:https://doi.org/10.1148/radiol.239021The affiliations were changed, as follows: Department of Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou 510080, Guangdong, China (Z.S., Z.X., H.L., Chen Liu, X.C., Chunling Liu, C. Liang, C. Lu, Y.C., C.H., Z.L.); Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong, China (Z.S., Y.C.); Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong, China (Z.S., Z.X., H.L., Chen Liu, X.C., C. Liang, C. Lu, Y.C., C.H., Z.L.).Article HistoryPublished online: July 25 2023 FiguresReferencesRelatedDetailsRecommended Articles Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant ChemotherapyRadiology2018Volume: 288Issue: 1pp. 26-35MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast CancerRadiology2023Volume: 308Issue: 1Quantitative Breast Parenchymal Enhancement to Predict Breast Cancer RecurrenceRadiology2024Volume: 310Issue: 1Decoding Intratumoral Heterogeneity: Clinical Potential of Habitat Imaging based on RadiomicsRadiology2023Volume: 309Issue: 3Does Texture Analysis of MR Images of Breast Tumors Help Predict Response to Treatment?Radiology2018Volume: 286Issue: 2pp. 421-423See More RSNA Education Exhibits 18F-Fluoroestradiol (FES) PET/CT: Current Applications And Future DirectionsDigital Posters2021A Primer on Imaging of Molecular Subtypes of Breast CancerDigital Posters2022Staging Breast Cancer: A Case Based ReviewDigital Posters2022 RSNA Case Collection Occult Breast CancerRSNA Case Collection2022Male invasive Ductal Carcinoma RSNA Case Collection2022Locally Advanced Invasive Lobular CarcinomaRSNA Case Collection2022 Vol. 308, No. 1 Metrics Altmetric Score PDF download