Evidence map›Paper›PMID 37246973›Full record

ArticleAbdominal radiology (New York)2023

Inter-observer agreement and accuracy of LI-RADS v2018 for differentiating tumor in vein from bland thrombus using gadoxetic acid-enhanced magnetic resonance imaging.

Shintaro Ichikawa, Claude B Sirlin, Guilherme Moura Cunha, Tanya Wolfson, Kathryn J Fowler, Hiroyuki Morisaka, Kojiro Onohara, Tatsuya Shimizu, Yoshie Omiya, Hiroki Sugiyama and 2 more

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Article in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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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 2 countries.

Shintaro IchikawaDepartment of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan. shintaro@hama-med.ac.jp.ORCID http://orcid.org/0000-0001-8043-8472
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Guilherme Moura CunhaLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Tanya WolfsonComputational and Applied Statistics Laboratory (CASL), San Diego Supercomputer Center at UCSD, San Diego, CA, USA.
Kathryn J FowlerLiver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA.
Hiroyuki MorisakaDepartment of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
Kojiro OnoharaDepartment of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
Tatsuya ShimizuDepartment of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
Yoshie OmiyaDepartment of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
Hiroki SugiyamaDepartment of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
Akihiro OkumuraDepartment of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
Hiroshi OnishiDepartment of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
University of Yamanashi · JPUniversity of California San Diego · USHamamatsu University School of Medicine · JPSan Diego Supercomputer Center · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess inter-observer agreement and accuracy of LI-RADS v2018 for differentiating tumor in vein (TIV) from bland thrombus on gadoxetic acid-enhanced magnetic resonance imaging (Gx-MRI). Secondarily, to determine whether a multi-feature model improves accuracy compared to LI-RADS.

methodsWe retrospectively identified consecutive patients at risk for hepatocellular carcinoma with venous occlusion(s) reported on Gx-MRI. Five radiologists independently classified each occlusion as TIV or bland thrombus using the LI-RADS TIV criterion (enhancing soft tissue in vein). They also evaluated imaging features suggestive of TIV or bland thrombus. Intra-class correlation coefficient (ICC) was calculated for individual features. A multi-feature model was developed based on consensus scores of features with > 5% consensus prevalence and > 0.40 ICC. Sensitivity and specificity of the LI-RADS criterion and of the cross-validated multi-feature model were compared.

resultsNinety-eight patients with 103 venous occlusions (58 TIV, 45 bland thrombus) were included. The LI-RADS criterion provided 0.63 ICC and, depending on the reader, 0.62-0.93 sensitivity and 0.87-1.00 specificity. Five other features had > 5% consensus prevalence and > 0.40 ICC, including three LI-RADS suggestive features and two non-LI-RADS features. The optimal multi-feature model incorporated the LI-RADS criterion and one LI-RADS suggestive feature (occluded or obscured vein contiguous with malignant parenchymal mass). After cross-validation, the multi-feature model did not improve sensitivity or specificity compared to the LI-RADS criterion (P = 0.23 and 0.25, respectively).

conclusionUsing Gx-MRI, the LI-RADS criterion for TIV provides substantial inter-observer agreement, variable sensitivity, and high specificity for differentiating TIV from bland thrombus. A cross-validated multi-feature model did not improve diagnostic performance.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsThrombosisVascular DiseasesContrast MediaGadolinium DTPAHumansMagnetic Resonance ImagingObserver VariationRetrospective StudiesSensitivity and SpecificityContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPABland thrombusGadoxetic acidLI-RADSLiver Imaging Reporting and Data SystemMagnetic resonance imagingTumor in vein

Identifiers

PMID37246973
OpenAlexW4378619955

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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.