Evidence map›Paper›PMID 41042372›Full record

ArticleEuropean radiology2026

Longitudinal wash-in slope changes on dynamic contrast enhancement MRI for predicting response to neoadjuvant chemotherapy in breast cancer.

Yanbo Li, Jingbo Wang, Jinxia Guo, Caifeng Yue, Tianhui Liu, Yuchen Xue, Yuxin Cai, Wenqi Wang, Junnan Li, Jiahui Wang and 1 more

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Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yanbo LiDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Jingbo WangDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Jinxia GuoGE Healthcare, Beijing, China.
Caifeng YueDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Tianhui LiuDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Yuchen XueDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin Medical University, Tianjin, China.
Yuxin CaiDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Wenqi WangDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Junnan LiDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Jiahui WangDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Hong LuDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China. honglu@tmu.edu.cn.ORCID http://orcid.org/0000-0002-1004-1792

Funding

National Natural Science Foundation of China 82172025National Natural Science Foundation of China 82302302Science & Technology Development Fund of Tianjin Education Commission for Higher Education 2024KJ189Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-009A
6 · The paper itself

Abstract

objectivesTo determine whether wash-in slope (WIS) changes can predict pathologic complete response (pCR) following NAC in breast cancer. MATERIALS AND

methodsThis single-center retrospective study included consecutive females with breast cancer who received NAC followed by surgery between January 2016 and December 2022. All patients received dynamic contrast-enhanced MRI (DCE-MRI) pretreatment, after 2 cycles, 4 cycles, and after completion of treatment. The percentage change in tumor WIS from that before treatment (ΔWIS) was measured at each time point. Predictive performance for pCR was assessed by using the area under the receiver operating characteristic curve (AUC) for the overall cohort and across molecular subtypes.

resultsA total of 162 patients were included in this study (mean age, 51.9 years ± 9.1 [SD]), and 43 (26.5%) achieved pCR. Overall, ΔWIS demonstrated comparable performance in predicting pCR after 2 cycles (AUC, 0.82; 95% CI: 0.73, 0.91), 4 cycles (AUC, 0.86; 95% CI: 0.78, 0.93), and after completion of NAC (AUC, 0.87; 95% CI: 0.8, 0.93), with no significant differences observed (all p > 0.05). Utilizing optimal threshold values of -33%, -44%, and -59% at each time point, ΔWIS yielded sensitivities ranging from 74.4% to 86.0% and specificities ranging from 75.6% to 80.7%. In molecular subtype analysis, ΔWIS after 4 cycles exhibited excellent predictive performance for pCR in triple-negative breast cancers (AUC, 0.96; 95% CI: 0.9, 1), outperforming its performance in Luminal B tumors (AUC, 0.83; 95% CI: 0.71, 0.94; p = 0.04).

conclusionTumor WIS changes from DCE-MRI could dynamically monitor neoadjuvant chemotherapy (NAC). KEY POINTS: Question Currently, there is no widely accepted standard imaging biomarker for predicting pCR in breast cancer patients undergoing NAC. Findings WIS changes outperformed tumor size in predicting pCR at four time points during NAC, and showed comparable predictive performance across all time points. Clinical relevance Longitudinal changes in the WIS derived from dynamic contrast-enhanced MRI enable real-time prediction of pathologic response to NAC in patients with breast cancer, supporting personalized treatment monitoring and decision-making.

Indexed as

Breast NeoplasmsContrast MediaMagnetic Resonance ImagingNeoadjuvant TherapyAdultChemotherapy, AdjuvantFemaleHumansImage EnhancementMiddle AgedPredictive Value of TestsRetrospective StudiesTreatment OutcomeContrast MediaBreast cancerDynamic contrast enhancementMagnetic resonance imagingNeoadjuvant chemotherapyPathologic complete response

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.