Evidence map›Paper›PMID 34279688›Full record

ArticleEuropean radiology2022

Combined hepatocellular carcinoma-cholangiocarcinoma: MRI features correlated with tumor biomarkers and prognosis.

Changwu Zhou, Yi Wang, Li Ma, Xianling Qian, Chun Yang, Mengsu Zeng

Abstract read
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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  14. Establishment and Validation of the LI-RADS Morphologic Type II Hepatocellular Carcinoma Early Recurrence Risk Scoring System.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
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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

6 authors at 4 institutions in 1 country.

Changwu Zhou *Shanghai Institute of Medical Imaging, Shanghai, China.
Yi Wang *Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Li MaShanghai Institute of Medical Imaging, Shanghai, China.
Xianling QianDepartment of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Chun YangDepartment of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. dryangchun@hotmail.com.
Mengsu ZengShanghai Institute of Medical Imaging, Shanghai, China. zeng.mengsu@zs-hospital.sh.cn.
Sun Yat-sen University · CNZhongshan Hospital · CNFudan University · CNShanghai Institute of Hematology · CN

Funding

Clinical Research Plan of SHDC SHDC2020CR1029BNational Natural Science Foundation of China 91859107Shanghai Municipal Key Clinical Specialty W2019-018Shanghai Science and Technology Committee 18DZ1930102Shanghai Science and Technology Committee 19411965500Zhongshan Hospital, Fudan University 2018ZSLC22Zhongshan Hospital, Fudan University 2020ZSLC61
6 · The paper itself

Abstract

objectivesTo determine how MRI features are correlated to biomarkers, and to the prognostic factors for recurrence-free survival (RFS) and overall survival (OS) in combined hepatocellular carcinoma-cholangiocarcinoma (cHCC-CCA) patients.

methodsThe study enrolled 160 cHCC-CCA patients pathologically confirmed according to the 2019 WHO classification. The preoperative MRI features and clinical data were retrospectively evaluated and compared between patients grouped by AFP or CA19-9 level and with pathological findings. The RFS and OS of cHCC-CCA patients were estimated using Kaplan-Meier survival curves and compared using the log-rank test. Moreover, predictors of RFS and OS were investigated using Cox regression analyses.

resultsOne hundred and sixty patients (mean age, males vs. females: 55.7 ± 10.2 years vs. 54.9 ± 14.0 years) were evaluated. The incidence of nodule-in-nodule architecture, mosaic architecture, intratumoral hemorrhage, hepatic capsule retraction, arterial phase peritumoral enhancement, and portal vein thrombus was significantly higher in patients with AFP > 20 ng/ml (all p < 0.05). Multivariate Cox regression analysis indicated that age (HR 1.031, p = 0.03), CA19-9 > 37 U/ml (HR 1.880, p = 0.04), arterial phase peritumoral enhancement (HR 2.287, p = 0.01), and delayed enhancement (HR 0.377, p = 0.02) were independent predictors of poor RFS, while arterial phase peripheral enhancement (HR 2.391, p = 0.04) was an independent predictor of poor OS.

conclusionscHCC-CCA imaging features are complex and not correlated with AFP or CA19-9. Age, CA19-9 > 37 U/ml, arterial phase peritumoral enhancement, and delayed enhancement are independent predictors of poor RFS. Arterial phase peripheral enhancement is an independent predictor of poor OS. KEY POINTS: • The imaging features of combined hepatocellular carcinoma-cholangiocarcinoma are complex and are not correlated with the alpha fetoprotein or CA19-9 levels. • Age, CA19-9 > 37 U/ml, arterial phase peritumoral enhancement, and delayed enhancement are independent predictors of poor recurrence-free survival in combined hepatocellular carcinoma-cholangiocarcinoma patients. • Arterial phase peripheral enhancement is an independent predictor of poor overall survival in patients with combined hepatocellular carcinoma-cholangiocarcinoma.

Indexed as

Bile Duct NeoplasmsCarcinoma, HepatocellularCholangiocarcinomaLiver NeoplasmsBile Ducts, IntrahepaticBiomarkers, TumorFemaleHumansMagnetic Resonance ImagingMalePrognosisRetrospective StudiesBiomarkers, TumorLiver neoplasmsMagnetic resonance imagingPrognosis

Identifiers

PMID34279688
OpenAlexW3183418879

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.