Evidence map›Paper›PMID 42449740›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Clinical Evaluation of a Combined Deep Learning-Reconstructed Readout-Segmented Echo-Planar Imaging and Water-Excitation Spectral Fat-Saturation Protocol for Breast Diffusion-Weighted Imaging at 3T Breast MRI.

Jung Min Choi, Soyeoun Lim, Eun Jung Choi, MunYoung Paek, Wei Liu, Minseo Bang, Jung Hee Byon

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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

7 authors.

Jung Min ChoiDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan 44033, Republic of Korea.ORCID 0009-0009-7163-2084
Soyeoun LimDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan 44033, Republic of Korea.ORCID 0000-0002-0922-6677
Eun Jung ChoiDepartment of Radiology, Jeonbuk National University Medical School, Jeonju 54907, Republic of Korea.
MunYoung PaekSiemens Healthineers Ltd., Seoul 06620, Republic of Korea.ORCID 0000-0001-9198-775X
Wei LiuSiemens Healthineers AG, 91052 Erlangen, Germany.ORCID 0000-0002-8072-7116
Minseo BangDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan 44033, Republic of Korea.ORCID 0000-0001-8933-1444
Jung Hee ByonDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan 44033, Republic of Korea.ORCID 0000-0002-5139-552X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

breast neoplasmsdeep learningdiffusion magnetic resonance imagingecho-planar imagingfat suppression

Identifiers

PMID42449740
PMCPMC13359702

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.