Evidence map›Paper›PMID 41717413›Full record

ArticleFrontiers in oncology2026

A pilot study of multimodal MRI for the preoperative assessment of triple-negative breast cancer.

Shan Luo, Rong Lin, Hui Lin, Zejuan Zhan, Xiaomin Wu, Langlang Tang, Xionghua Huang, Yuanying Liu, Pengfei Li, Junye Yao and 2 more

Abstract read
In one paragraph

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

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Shan LuoDepartment of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Rong LinDepartment of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Hui LinDepartment of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Zejuan ZhanDepartment of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Xiaomin WuDepartment of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Langlang TangDepartment of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Xionghua HuangDepartment of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Yuanying LiuDepartment of Pathology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Pengfei LiDepartment of Breast Surgery, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.
Junye YaoClinical and Technical Support, Philips Healthcare, Shanghai, China.
Peng WuClinical and Technical Support, Philips Healthcare, Shanghai, China.
Xueyan LiaoDepartment of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate the diagnostic value of multimodal MRI by comprising quantitative mapping, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating triple-negative breast cancer (TNBC) from non-TNBC, and to investigate the correlation between significant quantitative mapping parameters and the Ki-67 proliferation index. Methods: This prospective study enrolled 120 patients with invasive breast cancer (30 TNBC and 90 non-TNBC) who underwent preoperative quantitative mapping, DWI, and DCE-MRI. DCE-MRI parameters (RE, ME, MRE, T0, TTP, WI, WO, BOE), DWI metrics (ADCmin, ADCmean, rADCmin, rADCmean), and quantitative mapping parameters (Native T1, Enhanced T1, ΔT1, ΔT1%, T2) were compared between groups. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis and area under the curve (AUC) for both individual significant parameters and a combined predictive model. Pearson' s correlation coefficient was used to analyze the relationship between quantitative mapping parameters and the Ki-67 index. Results: Compared to the non-TNBC group, TNBC lesions exhibited significantly lower RE, ME, WI, WO, and ΔT1% ( Conclusion: Parameters including RE, ME, WI, WO, Enhanced T1, ΔT1%, and T2 serve as valuable imaging biomarkers for the preoperative identification of TNBC. Integrating quantitative mapping with DCE-MRI significantly enhances diagnostic performance, offering a robust approach for differentiating TNBC from non-TNBC subtypes.

Indexed as

diffusion-weighted imagingdynamic contrast enhancementmagnetic resonance imagingquantitative mappingtriple-negative breast cancer

Identifiers

PMID41717413
PMCPMC12913062

What Socratic holds

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Registered trials

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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 Socratic graph.