Evidence map›Paper›PMID 41462386›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2025

MRI-based evaluation for predicting pathological response and monitoring reactive angioma evolution in triple-negative breast cancer undergoing neoadjuvant chemoimmunotherapy.

Luyi Lin, Jinlong Zheng, Fan Yang, Ke Zuo, Jiayin Zhou, Guanhua Su, Xiaowen Ma, Chao You, Yajia Gu

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Luyi Lin *Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jinlong Zheng *Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fan Yang *Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Ke ZuoDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiayin ZhouDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Guanhua SuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaowen MaDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Chao YouDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China. youchao8888@aliyun.com.
Yajia GuDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China. guyajia@126.com.

Funding

Shanghai Municipal Health Commission General Project 202240241Special Research Fund for Clinical Studies of Innovative Drugs after Market Launch WKZX2024CX103301
6 · The paper itself

Abstract

backgroundNeoadjuvant chemotherapy combined with anti-programmed cell death protein-1 (PD-1) immunomodulators (NACI) has been proven to improve outcomes in triple-negative breast cancer (TNBC). However, the role of MRI in predicting therapeutic response remains underexplored. This study aims to investigate the utility of MRI for early response prediction and longitudinal assessment of reactive angiomatous changes in TNBC patients undergoing NACI therapy.

methodsThis secondary analysis pooled data from the CamRelief, NeoTENNIS, and other randomized controlled trials (RCTs) investigating NACI in our center between January 2020 and December 2023. Data collected included baseline clinical-pathological characteristics, MRI features, and histopathological response outcomes. MRI evaluation incorporated both BI-RADS descriptors and quantitative apparent diffusion coefficient (ADC) histogram metrics derived from whole-tumor segmentation. Univariate and multivariate two-step logistic regression analyses identified independent predictors of pathological complete response (pCR). A prognostic model integrating significant MRI and histopathological variables was developed. Longitudinal reactive angioma evolution during NACI were analyzed by non-parametric test and chi-square test.

resultsA total of 61 TNBC patients undergoing NACI were enrolled. Univariate analysis identified four independent predictors of pCR. While elevated Ki-67 index (p < 0.001) and CD8-T cell infiltration (p = 0.004) reflected baseline pathological predictors, washout kinetic curve (p = 0.004) and reduced median_ADC value (p = 0.021) of MRI provided unique insights with pCR. Moreover, the combined multi-dimensional model achieved a high prediction accuracy, got AUC of 0.89. Serial MRI monitoring identified transient reactive changes characterized by multiple small masses emerging (mean 8.82 ± 0.67 mm) during NACI unrelated to response, peaking at post-cycle-2 MRI, followed by progressive regression. One was histopathologically confirmed as benign reactive angiomatous remodeling.

conclusionMRI demonstrated dual clinical utility in NACI management of TNBC. The integrative model combining MRI biomarkers with clinicopathological features demonstrated superior predictive accuracy for pCR, while reactive angiomatous remodeling exhibited a transient change.

Indexed as

ImmunotherapyMagnetic Resonance ImagingNeoadjuvant TherapyTriple Negative Breast NeoplasmsAdultFemaleHumansMiddle AgedPathologic Complete ResponseBiomarkerMRINeoadjuvant chemoimmunotherapyQuantitative apparent diffusion coefficient histogram metricsTriple-nagative breast cancer

Identifiers

PMID41462386
PMCPMC12859831

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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.