Evidence map›Paper›PMID 42525485›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Magnetic Resonance Elastography in Breast Cancer: A Prospective Study on Optimal Imaging Frequency Selection and Differentiation of Molecular Subtypes.

Xiaowen Ma, Yifeng Chen, Jinlong Zheng, Dingxia Liu, Feixiang Hu, Meng Yang, Xiyu Liu, Wenjuan Zhang, Yan Huang, Weijun Peng and 2 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. 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

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

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

12 authors.

Xiaowen MaDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yifeng ChenDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jinlong ZhengDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Dingxia LiuDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Feixiang HuDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Meng YangDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiyu LiuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Wenjuan ZhangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Yan HuangDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Weijun PengDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Qin XiaoDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID https://orcid.org/0000-0002-5587-2928
Yajia GuDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID https://orcid.org/0009-0000-5577-0289

Funding

National Natural Science Foundation of China NSFC82430061
6 · The paper itself

Abstract

backgroundMR elastography (MRE) has applications in breast cancer, but its optimal frequency and value in discriminating molecular subtypes remain unclear. PURPOSE: To identify the preferable breast MRE frequency and evaluate MRE parameters in the precision diagnosis of breast cancer. STUDY TYPE: Prospective. POPULATION: One hundred fifty-four female patients (mean age 50 ± 10.67 years) were enrolled, including five with bilateral cancer, yielding 159 lesions. FIELD STRENGTH/SEQUENCE: 3.0 T, fast gradient-echo for DCE-MRI, single-shot EPI for DWI/ADC, SE-EPI for multifrequency MRE. ASSESSMENT: The image quality of 10 frequency MRE sets was assessed (including overall image quality, diagnostic confidence, artifact impact, and signal-to-noise ratio). Stiffness (c) and viscosity (φ) were measured at the optimal frequency and compared across clinicopathological subgroups. STATISTICAL TESTS: Independent-sample t-tests or one-way analysis of variance, Mann-Whitney U or Kruskal-Wallis H tests, Friedman test, χ

resultsThe 40-70 Hz multifrequency band demonstrated significantly superior image quality compared with all other bands. Subgroup analyses showed that c and φ differed significantly between ER-positive and ER-negative groups (c values: 2.54 (2.17-2.86) vs. 2.80 (2.37-3.30) m/s; φ values: 1.17 ± 0.21 vs. 1.24 ± 0.22 radians) and across groups with different Ki-67 expression levels (c values: 2.54 ± 0.54 vs. 2.77 ± 0.57 m/s), T stage, molecular subtypes (c values: 2.55 (2.20-2.82) vs. 2.69 (2.20-2.96) vs. 2.94 (2.52-3.33) m/s), and enhancement patterns (c values: 2.34 ± 0.41 vs. 2.73 ± 0.58 m/s). Multivariable analysis identified c [OR: 5.37 (2.13-15.54)] and age group [OR: 0.27 (0.09-0.82)] as significant independent predictors of triple-negative breast cancer, and a predictive model incorporating these variables demonstrated an AUC of 0.739 in the training set and 0.700 in the validation set. DATA

conclusionThe 40-70 Hz multifrequency protocol may offer favorable image quality for breast MRE. MRE parameters, particularly stiffness, show potential for characterizing tissue biomechanical properties and could assist in distinguishing molecular subtypes. EVIDENCE LEVEL: 1. STAGE OF TECHNICAL EFFICACY: Stage 2.

Indexed as

Breast NeoplasmsElasticity Imaging TechniquesMagnetic Resonance ImagingAdultAgedBreastDynamic Contrast Enhanced Magnetic Resonance ImagingFemaleHumansImage Interpretation, Computer-AssistedMiddle AgedProspective StudiesReproducibility of ResultsROC CurveSignal-To-Noise Ratiobreast cancerelasticity imagingmolecular subtype

Identifiers

PMID42525485
PMCPMC13578548

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.