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

Shi, Zhenwei; Huang, Xiaomei; Cheng, Ziliang; Xu, Zeyan; Lin, Huan; Liu, C; Chen, Xiaobo; Liu, Chunling; Liang, Changhong; Lu, Cheng; Cui, Yanfen; Han, Chu; Qu, Jinrong; Shen, Jun; Liu, Zaiyi

doi:10.1148/radiol.222830

articleRadiologyJul 1, 2023HYBRID OA

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

ZSZhenwei Shi XHXiaomei Huang ZCZiliang Cheng ZXZeyan Xu HLHuan Lin

Key Laboratory of Guangdong Province · Guangdong Academy of Medical Sciences · +9 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

Background Breast cancer is highly heterogeneous, resulting in different treatment responses to neoadjuvant chemotherapy (NAC) among patients. A noninvasive quantitative measure of intratumoral heterogeneity (ITH) may be valuable for predicting treatment response. Purpose To develop a quantitative measure of ITH on pretreatment MRI scans and test its performance for predicting pathologic complete response (pCR) after NAC in patients with breast cancer. Materials and Methods Pretreatment MRI scans were retrospectively acquired in patients with breast cancer who received NAC followed by surgery at multiple centers from January 2000 to September 2020. Conventional radiomics (hereafter, C-radiomics) and…

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223

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Topics & keywords

Topics

Keywords

Medicine
Breast cancer
Neoadjuvant therapy
Chemotherapy
Oncology
Magnetic resonance imaging
Cancer
Radiology

UN Sustainable Development Goals

Good health and well-being

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