Evidence map›Paper›PMID 39780630›Full record

ArticleKorean journal of radiology2025

Clinical Efficacy of Ultrafast Dynamic Contrast-Enhanced MRI Using Compressed Sensing in Distinguishing Benign and Malignant Soft-Tissue Tumors.

You Seon Song, In Sook Lee, Young Jin Choi, Jeung Il Kim, Kyung-Un Choi, Kangsoo Kim, Kyungeun Jang

Abstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

You Seon SongDepartment of Radiology, Pusan National University Hospital, Biomedical Research Institute, Busan, Republic of Korea.ORCID 0000-0002-8948-5133
In Sook LeeDepartment of Radiology, Pusan National University Hospital, Biomedical Research Institute, Busan, Republic of Korea.ORCID 0000-0001-7295-600X
Young Jin ChoiPusan National University School of Medicine, Busan, Republic of Korea.ORCID 0000-0002-3525-8154
Jeung Il KimPusan National University School of Medicine, Busan, Republic of Korea.ORCID 0000-0003-2994-1528
Kyung-Un ChoiPusan National University School of Medicine, Busan, Republic of Korea.ORCID 0000-0002-3848-1781
Kangsoo KimDiagnostic-Imaging MR, Siemens-Healthineers, Busan, Republic of Korea.ORCID 0000-0002-9435-7662
Kyungeun JangResearch Scientist, AIRS Medical Inc., Seoul, Republic of Korea.ORCID 0000-0003-4114-9795

Funding

Guerbet
6 · The paper itself

Abstract

objectiveTo evaluate the clinical efficacy of ultrafast dynamic contrast-enhanced (DCE)-MRI using a compressed sensing (CS) technique for differentiating benign and malignant soft-tissue tumors (STTs) and to evaluate the factors related to the grading of malignant STTs. MATERIALS AND

methodsA total of 165 patients (96 male; mean age, 61 years), comprising 111 with malignant STTs and 54 with benign STTs according to the 2020 WHO classification, underwent DCE-MRI with CS between June 2018 and June 2023. The clinical, qualitative, and quantitative parameters associated with conventional MRI were also obtained. During post-processing of the early arterial phase of DCE-MRI, the time-to-enhance (TTE), time-to-peak (TTP), initial area under the curve at 60 s (iAUC60), and maximum slope were calculated. Furthermore, the delayed arterial phase parameters of DCE-MRI, including K

resultsAccording to logistic regression analysis, the TTE value (

conclusionAmong the quantitative parameters obtained using ultrafast DCE-MRI, early arterial phase TTE was the most accurate for distinguishing between benign and malignant tumors.

Indexed as

Contrast MediaMagnetic Resonance ImagingSoft Tissue NeoplasmsAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansImage EnhancementMaleMiddle AgedNeoplasm GradingRetrospective StudiesYoung AdultContrast MediaCompressed sensingDynamic contrast enhancedMagnetic resonance imagingSoft tissue tumor

Identifiers

PMID39780630
PMCPMC11717864

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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.