Evidence map›Paper›PMID 42295592›Full record

ReviewJapanese journal of radiology2026

MRI-based assessment for optimal breast cancer local therapy in the era of BI-RADS v2025.

Maya Honda, Masako Kataoka, Mami Iima, Azusa Nishimoto, Yuji Nakamoto

Abstract readReview
In one paragraph

Review in Japanese journal of radiology, 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

5 authors.

Maya HondaPreemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan. mayah.217@gmail.com.ORCID http://orcid.org/0000-0002-5337-3455
Masako KataokaPreemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.ORCID http://orcid.org/0000-0002-6212-3351
Mami IimaDepartment of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID http://orcid.org/0000-0002-1991-2494
Azusa NishimotoDepartment of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yuji NakamotoDepartment of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0001-5783-8048

Funding

Japan Society for the Promotion of Science 23K14856
6 · The paper itself

Abstract

Preoperative breast magnetic resonance imaging (MRI) is the most sensitive modality for assessing disease extent in newly diagnosed breast cancer, detecting additional ipsilateral disease in approximately 20% of patients. While its impact on patients' prognosis is debated, MRI may refine surgical management when it is appropriately evaluated. This review provides a practical framework for optimizing MRI interpretation for individualized surgical planning, incorporating the updated American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) v2025 recommendations. Key updates in BI-RADS v2025 include the introduction of "Additional Close Findings" to streamline the management of suspicious lesions within 2.0 cm of the index cancer. For oncoplastic procedures, MRI provides critical metrics: a tumor-nipple distance of > 1.0 cm has been reported as a significant threshold under specific study conditions for predicting nipple involvement in nipple-sparing mastectomy, while an MRI-to-skin distance of 5 mm is a suggested threshold for predicting margin positivity in skin-sparing mastectomy. This review also addresses the assessment of pectoralis muscle involvement and the new BI-RADS section dedicated to lymph node evaluation. Furthermore, MRI is highlighted as an essential tool for identifying eligible candidates for radiofrequency ablation by precisely excluding multifocality and extensive intraductal components to satisfy strict clinical criteria. The integration of these standardized, surgically-relevant metrics allows radiologists to provide a detailed anatomical roadmap, which is essential to maximize cosmetic outcomes through conservative mastectomy techniques without compromising oncological safety.

Indexed as

Breast NeoplasmsMagnetic Resonance ImagingBreastFemaleHumansMastectomyBreast Imaging Reporting and Data SystemBreast neoplasmsLymph nodesMagnetic resonance imagingMastectomy, skin-sparingMastectomy, subcutaneous

Identifiers

PMID42295592
PMCPMC13623795

What OpenQuestion 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 OpenQuestion graph.