Evidence map›Paper›PMID 40160612›Full record

ArticleQuantitative imaging in medicine and surgery2025

Magnetic resonance imaging features and diagnostic value analysis of non-mass enhancement lesions of the breast.

Weiyue Li, Shaofu Hong, Yan Shi, Jinsen Zou, Jie Ma, Jingshan Gong

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Weiyue Li *Department of Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.ORCID https://orcid.org/0009-0004-0974-3254
Shaofu Hong *Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.ORCID https://orcid.org/0000-0003-3761-6653
Yan ShiDepartment of Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Jinsen ZouDepartment of Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Jie MaDepartment of Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.ORCID https://orcid.org/0000-0003-0648-9786
Jingshan GongDepartment of Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the presence of distinctive morphological features and diverse pathological types, evaluation of breast non-mass enhancement (NME) lesions on magnetic resonance imaging (MRI) is challenging, generating more false-positive results as compared to enhancing mass lesions. Our objective was to identify the MRI features capable of distinguishing between benign and malignant NME lesions in the breast. Methods: A retrospective analysis was conducted, in which the clinical data and MRI manifestations of 101 NME lesions were examined and confirmed through surgical or biopsy pathology. Statistical analyses, including Results: The study included 101 NME lesions from 98 patients (34 benign and 67 malignant). No statistically significant differences were observed in terms of clinical characteristics between the benign and malignant groups. However, there were significant differences in lesion maximum diameter (P=0.003), morphological distribution (P=0.003), internal enhancement patterns (P<0.001), time-intensity curve (TIC) types (P<0.001), early and delayed enhancement rates (P=0.001 and P<0.001, respectively), apparent diffusion coefficient (ADC), and T2 ratio (P=0.02). Notably, the diagnostic efficacy of ADC values was highest for the minimum value within a small region of interest (small ROI), yielding an area under the curve as high as 0.884. Conclusions: A comprehensive analysis of MRI features indicated their significant value for the differential diagnosis of benign and malignant NME lesions of the breast.

Indexed as

Breastdifferential diagnosismagnetic resonance imaging (MRI)non-mass enhancement (NME)

Identifiers

PMID40160612
PMCPMC11948379

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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.