Evidence map›Paper›PMID 40613850›Full record

ReviewJapanese journal of radiology2025

Ultrafast MRI and diffusion-weighted imaging: a review of morphological evaluation and image quality in breast MRI.

Maya Honda, Masako Kataoka, Mami Iima, Marcel Dominik Nickel, Tsutomu Okada, Yuji Nakamoto

Abstract readReview
In one paragraph

Review in Japanese journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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

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

2 citing papers in PubMed.

  1. Article
  2. 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

6 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
Marcel Dominik NickelSiemens Healthineers AG, Forchheim, Germany.ORCID http://orcid.org/0000-0002-0360-7233
Tsutomu OkadaDepartment of Diagnostic Radiology, Kansai Electric Power Hospital, Osaka, Japan.ORCID http://orcid.org/0000-0001-8483-5096
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 Grant-in-Aid for Early-Career Scientists (23K14856)
6 · The paper itself

Abstract

Breast magnetic resonance imaging (MRI) is an essential tool for evaluating breast lesions, with dynamic contrast-enhanced (DCE) MRI being considered the reference standard. However, conventional DCE-MRI has limitations, including long scan times, high costs, and variable specificity leading to unnecessary biopsies. Emerging techniques such as ultrafast dynamic contrast-enhanced (UF-DCE) MRI and diffusion-weighted imaging (DWI) have recently received attention as possible alternatives. UF-DCE MRI achieves high temporal resolution, improving lesion conspicuity while reducing motion artifacts and background parenchymal enhancement. Advanced acceleration methods, including view sharing and compressed sensing, enhance temporal resolution while maintaining image quality. DWI, a contrast agent-free technique that can be used to assess tissue cellularity, provides high specificity in the differentiation of benign from malignant lesions. Recent developments in DWI, such as readout-segmented echo planar imaging, reduced field of view, and simultaneous multi-slice techniques, have significantly improved spatial resolution and reduced artifacts. These advancements enable morphological assessment and hold the potential for replacing or complementing conventional DCE-MRI, thus reducing patient burden and improving accessibility. Future research should focus on optimizing imaging protocols and integrating artificial intelligence to enhance diagnostic performance. This review discusses the principles, technological advancements, and clinical applications of UF-DCE MRI and DWI, with a particular focus on morphological evaluation and image quality, emphasizing their role in improving the efficiency of breast imaging while maintaining accuracy.

Indexed as

Breast NeoplasmsDiffusion Magnetic Resonance ImagingMagnetic Resonance ImagingArtifactsBreastContrast MediaFemaleHumansImage EnhancementSensitivity and SpecificityContrast MediaBreast neoplasmsDiffusion-weighted imagingMagnetic resonance imagingUltrafast

Identifiers

PMID40613850
PMCPMC12575562

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.