Evidence map›Paper›PMID 34692513›Full record

ArticleFrontiers in oncology2021

Distinguishing Hepatocellular Carcinoma From Hepatic Inflammatory Pseudotumor Using a Nomogram Based on Contrast-Enhanced Ultrasound.

Mengting Liao, Chenshan Wang, Bo Zhang, Qin Jiang, Juan Liu, Jintang Liao

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Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mengting LiaoDepartment of Ultrasonography, Xiangya Hospital, Central South University, Changsha, China.
Chenshan WangDepartment of Ultrasonography, Xiangya Hospital, Central South University, Changsha, China.
Bo ZhangDepartment of Ultrasonography, Xiangya Hospital, Central South University, Changsha, China.
Qin JiangDepartment of Ultrasonography, Xiangya Hospital, Central South University, Changsha, China.
Juan LiuDepartment of Ultrasonography, Xiangya Hospital, Central South University, Changsha, China.
Jintang LiaoDepartment of Ultrasonography, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) and hepatic iflammatory pseudotumor (IPT) share similar symptoms and imaging features, which makes it challenging to distinguish from each other in clinical practice. This study aims to develop a predictive model based on contrast-enhanced ultrasound (CEUS) and clinical features to discriminate HCC from IPT.

methodsSixty-two IPT and 146 HCC patients were enrolled in this study, where pathological diagnosis served as the reference standard for diagnosis. Clinical and ultrasound imaging data including CEUS features: enhancement degree during arterial phase, portal phase and delayed phase, enhancement pattern, early washout within 60 s, feeding artery, peritumoral vessels, peritumoral enhancement, and margin of nonenhanced area were retrospectively collected. Imaging data were reviewed by two experienced ultrasound doctors. Patients were randomly assigned to training and validation sets. Chi-squared test followed by LASSO regression was performed on ultrasonographic features in the training set to identify the most valuable features that distinguish HCC from IPT, based on which the sonographic score formula was generated. With the significant clinical and ultrasonographic indicators, a nomogram was developed. The performance of the nomogram was verified by ROC curve and decision curve analysis (DCA) with the comparison with sonographic score and the ultrasound doctor's diagnosis.

resultsThe most valuable ultrasonographic features that distinguish between HCC and IPT were enhancement degree during arterial phase, early washout, peritumoral vessels, peritumoral enhancement, and liver background. The sonographic score based on these features was verified to be an independent factor that predicts the diagnosis (

conclusionA predictive nomogram based on a sonographic signature improved the diagnostic performance in distinguishing HCC and IPT, which may help with individualized diagnosis and treatment in clinical practice.

Indexed as

contrast-enhanced ultrasound (CEUS)hepatocellular carcinoma (HCC)inflammatory pseudotumor (IPT)LASSO regressionnomogram

Identifiers

PMID34692513
PMCPMC8529164

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