Evidence map›Paper›PMID 33245494›Full record

ArticleEuropean radiology2021

Diagnosis of LI-RADS M lesions on gadoxetate-enhanced MRI: identifying cholangiocarcinoma-containing tumor with serum markers and imaging features.

Hanyu Jiang, Bin Song, Yun Qin, Jie Chen, Dong Xiao, Hong Ii Ha, Xijiao Liu, Omobonike Oloruntoba-Sanders, Alaattin Erkanli, Andrew J Muir and 1 more

Abstract read
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In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Hanyu Jiang *Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Bin Song *Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yun QinDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Jie ChenDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Dong XiaoDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA.
Hong Ii HaDepartment of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Box 3808, Durham, NC, 27710, USA.
Xijiao LiuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Omobonike Oloruntoba-SandersDepartment of Medicine (Gastroenterology), Duke University Medical Center, Durham, NC, 27710, USA.
Alaattin ErkanliDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA.
Andrew J MuirDepartment of Medicine (Gastroenterology), Duke University Medical Center, Durham, NC, 27710, USA.
Mustafa R BashirDepartment of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Box 3808, Durham, NC, 27710, USA. mustafa.bashir@duke.edu.
Duke Medical Center · USSichuan University · CNDuke University · USWest China Hospital of Sichuan University · CN

Funding

National Natural Science Foundation of China 81771797
6 · The paper itself

Abstract

objectivesThe LI-RADS M (LR-M) category describes hepatic lesions probably or definitely malignant, but not specific for hepatocellular carcinoma in at-risk patients. Differentiation among LR-M entities, particularly detecting cholangiocarcinoma-containing tumors (M-CCs), is essential for treatment and prognosis. Thus, we aimed to develop diagnostic models on gadoxetate disodium-enhanced MRI comprising serum tumor markers and LI-RADS imaging features for M-CC.

methodsConsecutive at-risk patients with LR-M lesions exclusively (no co-existing LR-4 and/or LR-5 lesions) were retrieved retrospectively from a prospectively collected database spanning 3 years. Intrahepatic cholangiocarcinoma (ICC) and combined hepatocellular-cholangiocarcinoma (c-HCC-CCA) were classified together as M-CC. LI-RADS features determined by three independent radiologists and clinically relevant serum tumor markers were used to generate M-CC diagnostic models through logistic regression analysis against histology. Per-patient performance was evaluated using area under the receiver operating curve (AUC), sensitivity, and specificity.

resultsForty-five patients were included, 42.2% (19/45) with hepatocellular carcinoma, 33.3% (15/45) with ICC, 13.3% (6/45) with c-HCC-CCA, and 11.1% (5/45) with other hepatic lesions. Carbohydrate antigen (CA)19-9 > 38 U/mL, α-fetoprotein (AFP) > 4.8 ng/mL, and absence of the LI-RADS feature "blood products in mass" were significant predictors of M-CC. Combining three predictors demonstrated AUC of 0.862, sensitivity of 76%, and specificity of 88%. The risk of M-CC with all three criteria fulfilled was 98% (AUC, 0.690; sensitivity, 38%; specificity, 100%).

conclusionsIn at-risk patients with LR-M lesions, integrating CA19-9, AFP, and the LI-RADS feature "blood products in mass" achieved high diagnostic performance for M-CC. When all three criteria were fulfilled, the specificity for M-CC was 100%. KEY POINTS: • In at-risk patients who had LR-M lesions exclusively (no concomitant LR-4/5 lesions), a model with carbohydrate antigen > 38 U/mL, α-fetoprotein > 4.8 ng/mL, and absence of the LI-RADS feature "blood products in mass" achieved high accuracy for diagnosing cholangiocarcinoma-containing tumors. • In patients of whom all three criteria were fulfilled, the specificity for M-CC was 100%, which might reduce or eliminate the need for biopsy confirmation.

Indexed as

Bile Duct NeoplasmsCarcinoma, HepatocellularCholangiocarcinomaLiver NeoplasmsContrast MediaGadolinium DTPAHumansMagnetic Resonance ImagingRetrospective StudiesSensitivity and SpecificityContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPABiomarkersCholangiocarcinomaDiagnosisMagnetic resonance imagingTumor

Identifiers

PMID33245494
OpenAlexW3108406750

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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.