Evidence map›Paper›PMID 31854149›Full record

ArticleKorean journal of radiology2019

Intraindividual Comparison between Gadoxetate-Enhanced Magnetic Resonance Imaging and Dynamic Computed Tomography for Characterizing Focal Hepatic Lesions: A Multicenter, Multireader Study.

Chansik An, Chang Hee Lee, Jae Ho Byun, Min Hee Lee, Woo Kyoung Jeong, Sang Hyun Choi, Do Young Kim, Young Suk Lim, Young Seok Kim, Ji Hoon Kim and 2 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Korean journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
2.9field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  16. Up-to-Date Role of CT/MRI LI-RADS in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2021
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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

12 authors at 5 institutions in 1 country.

Chansik AnDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-0484-6658
Chang Hee LeeDepartment of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
Jae Ho ByunDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Min Hee LeeDepartment of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.
Woo Kyoung JeongDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sang Hyun ChoiDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Do Young KimDepartment of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Young Suk LimDepartment of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Young Seok KimDepartment of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.
Ji Hoon KimDepartment of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
Moon Seok ChoiDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Myeong Jin KimDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea. kimnex@yuhs.ac.ORCID 0000-0001-7949-5402
Yonsei University · KRUlsan College · KRKorea University Medical Center · KRSamsung Medical Center · KRSoonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the diagnostic accuracy of dynamic computed tomography (CT) and gadoxetate-enhanced magnetic resonance imaging (MRI) for characterization of hepatic lesions by using the Liver Imaging Reporting and Data System (LI-RADS) in a multicenter, off-site evaluation. MATERIALS AND

methodsIn this retrospective multicenter study, we evaluated 231 hepatic lesions (114 hepatocellular carcinomas [HCCs], 58 non-HCC malignancies, and 59 benign lesions) confirmed histologically in 217 patients with chronic liver disease who underwent both gadoxetate-enhanced MRI and dynamic CT at one of five tertiary hospitals. Four radiologists at different institutes independently reviewed all MR images first and the CT images 4 weeks later. They evaluated the major and ancillary imaging features and categorized each hepatic lesion according to the LI-RADS v2014. Diagnostic performance was calculated and compared using generalized estimating equations.

resultsMRI showed higher sensitivity and accuracy than CT for diagnosing hepatic malignancies; the pooled sensitivities, specificities, and accuracies for categorizing LR-5/5V/M were 59.0% vs. 72.4% (CT vs. MRI;

conclusionGadoxetate-enhanced MRI showed superior accuracy for categorizing LR-5/5V/M in hepatic malignancies in comparison with dynamic CT. Both modalities had comparable accuracies for distinguishing other malignancies from HCC.

Indexed as

AdultAgedAged, 80 and overAlgorithmsCarcinoma, HepatocellularContrast MediaFemaleGadolinium DTPAHeart DiseasesHumansImage Processing, Computer-AssistedLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPAComputed tomographyContrast mediaData systemsGadolinium ethoxybenzyl DTPAHepatocellular carcinomaMagnetic resonance imaging

Identifiers

PMID31854149
PMCPMC6923212
OpenAlexW2985673641

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.