Evidence map›Paper›PMID 41161796›Full record

ReviewMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2025

Quantitative MR Imaging of the Breast.

Masako Kataoka, Maya Honda, Mami Iima, Takashi Ueguchi, Megumi Matsuda, Takatoshi Aoki, Eun Sook Ko

Abstract readReview
In one paragraph

Review in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2025. 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

7 authors.

Masako KataokaPreemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, Kyoto, Kyoto, Japan.ORCID http://orcid.org/0000-0002-6212-3351
Maya HondaPreemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, Kyoto, Kyoto, Japan.ORCID http://orcid.org/0000-0002-5337-3455
Mami IimaDepartment of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University Graduate School of Medicine, Nagoya Aichi, Japan.ORCID http://orcid.org/0000-0002-1991-2494
Takashi UeguchiCenter for Information and Neural Networks, Advanced ICT Research Institute, National Institute of Information and Communications Technology, Suita Osaka, Japan.ORCID http://orcid.org/0000-0001-8862-1749
Megumi MatsudaDepartment of Radiology, Ehime University Graduate School of Medicine, Toon Ehime, Japan.ORCID http://orcid.org/0000-0002-5667-4448
Takatoshi AokiDepartment of Radiology, University of Occupational and Environmental Health, Kitakyushu Fukuoka, Japan.ORCID http://orcid.org/0000-0002-7973-110X
Eun Sook KoDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0002-0399-7956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast MRI has become essential for diagnosing and managing breast diseases. MRI interpretation has traditionally relied on subjective assessment according to Breast Imaging-Reporting and Data System, but recent advances emphasize the value of quantitative MRI data as objective imaging biomarkers. Techniques such as dynamic contrast-enhanced MRI (DCE-MRI), including ultrafast DCE-MRI and diffusion-weighted imaging are the most established for quantitative analysis, yet their routine application is limited by a lack of standardization in imaging protocols. Recent efforts focus on improving reproducibility, with studies showing that significant changes in the apparent diffusion coefficient can reliably indicate biological alterations in breast lesions. Emerging quantitative MRI approaches including synthetic MRI and fat imaging show promise in lesion characterization and treatment response assessment but require further validation and harmonization before widespread clinical use. For methodological aspect, radiomics has demonstrated strong diagnostic and predictive capabilities in breast MRI research. Quantitative approach for background parenchymal enhancement indicated its association with future breast cancer incidence or recurrence. Continued efforts to standardize and validate quantitative MRI parameters are crucial to fully integrating these tools into routine breast imaging practice.

Indexed as

BreastBreast NeoplasmsMagnetic Resonance ImagingContrast MediaFemaleHumansImage Interpretation, Computer-AssistedReproducibility of ResultsContrast Mediabreast neoplasmsdiffusion weighted imagingdynamic contrast enhanced magnetic resonance imagingmultiparametric magnetic resonance imaging

Identifiers

PMID41161796
PMCPMC12622853

What OpenQuestion holds

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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.