Evidence map›Paper›PMID 40150922›Full record

ArticleKorean journal of radiology2025

Deep Learning-Accelerated Non-Contrast Abbreviated Liver MRI for Detecting Malignant Focal Hepatic Lesions: Dual-Center Validation.

So Hyun Park, Moon Hyung Choi, Bohyun Kim, Hyun-Soo Lee, Sungjin Yoon, Young Joon Lee, Dominik Nickel, Thomas Benkert

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Korean journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
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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

8 authors.

So Hyun Park *Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.ORCID 0000-0001-9935-2863
Moon Hyung Choi *Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0001-5962-4772
Bohyun KimDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. kbh@catholic.ac.kr.ORCID 0000-0003-1157-415X
Hyun-Soo LeeSiemens Healthineers Ltd, Seoul, Republic of Korea.ORCID 0000-0002-0197-8460
Sungjin YoonDepartment of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.ORCID 0000-0002-7030-841X
Young Joon LeeDepartment of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0001-8309-0272
Dominik NickelDiagnostic Imaging, Siemens Healthineers AG, Forchheim, Germany.ORCID 0000-0002-0360-7233
Thomas BenkertDiagnostic Imaging, Siemens Healthineers AG, Forchheim, Germany.ORCID 0000-0002-3794-5580

Funding

NRF NRF-2022R1F1A1071409
6 · The paper itself

Abstract

objectiveTo compare a deep learning (DL)-accelerated non-enhanced abbreviated MRI (AMRI MATERIALS AND

methodsThis retrospective study included 155 consecutive patients (110 male; mean age 62.4 ± 11 years) from two sites who underwent standard liver MRI and additional AMRI

resultsPhantom experiments demonstrated comparable SNR and higher CNR for SSFSE

conclusionThe AMRI

Indexed as

Deep LearningLiver NeoplasmsMagnetic Resonance ImagingAgedFemaleHumansImage Interpretation, Computer-AssistedLiverMaleMiddle AgedPhantoms, ImagingRetrospective StudiesSensitivity and SpecificitySignal-To-Noise RatioDeep learningHepatocellular carcinomaLiverMagnetic resonance imagingSensitivity

Identifiers

PMID40150922
PMCPMC11955387

What OpenQuestion holds

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LicenceCC BY-NC
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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.