Optimizing abbreviated breast MRI protocols for the early assessment of neoadjuvant chemotherapy response in breast cancer

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Authors: Yongxin Chen, Siyi Chen, Ying Li, Xueli Li, Yihong Lin, Yi Sui, Xiaomeng Yu, Wenke Hu, Qingcong Kong, Zhou Liu, W. Joyce Tang, Xinqing Jiang
+1 more Yuan Guo
Cited by: 1

Abstract

Background: The widespread use of breast magnetic resonance imaging (MRI) for monitoring tumor response to neoadjuvant chemotherapy (NAC) is restricted by its limited accessibility and substantial interpretive workload. This study aimed to evaluate various abbreviated breast MRI protocols and identify the optimal approach for the early assessment of NAC response in breast cancer patients. Methods: A total of 359 patients with invasive breast cancer from three centers, who underwent full-protocol breast MRI at baseline and after two cycles of NAC, were retrospectively included in the study [primary cohort, n=169; external validation cohorts (EVCs), n=89 and 101]. Six abbreviated protocols were reconstructed from the full protocol, each comprising T2-weighted imaging plus a single dynamic contrast-enhanced (DCE) phase acquired at approximately 20, 90, or 270 s after injection; diffusion-weighted imaging (DWI) was also included in Protocols 4-6. Percentage changes in tumor size, the tumor-to-parenchyma signal enhancement ratio (SER), and the apparent diffusion coefficient (ADC) between MRI at the baseline and after two cycles of NAC (Δ%Size, Δ%SER, and Δ%ADC) were calculated. Diagnostic performance was assessed using receiver operating characteristic (ROC) analysis with the area under the curve (AUC), and compared using the DeLong test. Scan acquisition and interpretation times were also recorded to assess efficiency. Results: P6, P

Fields of Study & Subjects

MRI in cancer diagnosis Breast Cancer Treatment Studies Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
Quantitative Imaging in Medicine and Surgery
Publisher
AME Publishing Company
Volume
16
Issue
4
Pages
314–314
Publication date
30 March 2026
Language
EN