Evidence map›Paper›PMID 40560413›Full record

ArticleEuropean radiology2025

MRI major and ancillary features of LI-RADS for diagnosis of pediatric malignant liver tumors.

Se Jin Choi, Jeong In Shin, Pyeong Hwa Kim, Hyo Jung Park, Seonok Kim, Ah Young Jung, Young Ah Cho, Jin Seong Lee, In Hye Song, Sujin Gang and 3 more

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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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. Article
4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Se Jin Choi *Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Jeong In Shin *Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Pyeong Hwa KimDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea. phkim@amc.seoul.kr.ORCID http://orcid.org/0000-0003-4276-8803
Hyo Jung ParkDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Seonok KimDepartment of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Ah Young JungDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Young Ah ChoDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Jin Seong LeeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
In Hye SongDepartment of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Sujin GangDepartment of Pediatric Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Jung-Man NamgoongDepartment of Pediatric Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Kyung-Nam KohDepartment of Pediatrics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Hee Mang YoonDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Funding

Asan Institute for Life Sciences, Asan Medical Center 2025IE0007-1
6 · The paper itself

Abstract

objectivesTo evaluate LI-RADS major and ancillary features for MRI-based diagnosis of pediatric malignant liver tumors. MATERIALS AND

methodsThis single-center retrospective study enrolled pediatric patients who underwent contrast-enhanced liver MRI for focal liver lesions from January 2010-February 2023. Three readers independently performed imaging analysis based on LI-RADS v2018. The reference standard was a pathological diagnosis or stability/regression for over one year on follow-up. Estimation of diagnostic accuracy and multivariable logistic regression were conducted to identify LI-RADS features associated with malignant hepatocellular tumors and hepatic malignancy in general.

resultsOf the 102 patients (median age [interquartile range], 4.5 [0.6-14.0] years; boys:girls, 54:48), 58.8% (60/102) had malignant liver tumors and 49.0% (50/102) had malignant hepatocellular tumors. The sensitivity and specificity of major features for diagnosis of malignant hepatocellular tumors were as follows: nonrim arterial enhancement, 73.4% and 39.6%; enhancing capsule, 56.7% and 92.0%; nonperipheral washout, 70.1% and 94.2%. Nonperipheral washout (sensitivity, 70.1%; specificity, 94.2%; adjusted OR, 34.5; p < 0.001), restricted diffusion (sensitivity, 97.9%; specificity, 53.8%; adjusted OR, 72.3; p = 0.001), and fat-in-mass (sensitivity, 29.0%; specificity, 93.0%; adjusted OR, 4.3; p = 0.01) were associated with malignant hepatocellular tumors, while nonperipheral washout (sensitivity, 58.7%; specificity, 94.5%; adjusted OR, 12.5; p < 0.001), restricted diffusion (sensitivity, 97.1%; specificity, 65.8%; adjusted OR, 31.1; p < 0.001), and mosaic architecture (sensitivity, 79.5%; specificity, 90.0%; adjusted OR, 20.4; p < 0.001) were associated with hepatic malignancy in general.

conclusionRestricted diffusion was a sensitive MRI LI-RADS feature, while nonperipheral washout and mosaic architecture were specific features for diagnosing pediatric malignant liver tumors. KEY POINTS: Questions MRI is the recommended modality for pediatric focal liver lesions, but only a few studies have examined the diagnostic accuracy of MRI LI-RADS features in children. Findings Restricted diffusion was sensitive for malignant liver tumors, while mosaic architectures were specific for malignant liver tumors. Nonperipheral washout was specific for diagnosing malignant hepatocellular tumors. Clinical relevance Nonperipheral washout, restricted diffusion, and mosaic architecture were reliable MRI LI-RADS features for diagnosing pediatric malignant liver tumors.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMagnetic Resonance ImagingAdolescentChildChild, PreschoolContrast MediaFemaleHumansInfantMaleRetrospective StudiesSensitivity and SpecificityContrast MediaChildLiverMagnetic resonance imagingNeoplasms

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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.