Evidence map›Paper›PMID 38453791›Full record

ArticleAbdominal radiology (New York)2024

Radiomics features based on dual-area CT predict the expression levels of fatty acid binding protein 4 and outcome in hepatocellular carcinoma.

Jingyu Wen, Xi Wang, Mingge Xia, Bowen Wei, Hongji Yang, Yifu Hou

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Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

4 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.

Jingyu Wen *Department of Medical Insurance, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Xi Wang *School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Mingge XiaDepartment of Medical Insurance, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Bowen WeiSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Hongji YangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yifu HouDepartment of Organ Transplantation, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. houyifu0726@foxmail.com.

Funding

Sichuan Province Science and Technology Support Program 2022YFS0093Youth Fund of Sichuan Provincial People's Hospital 2022QN26
6 · The paper itself

Abstract

RATIONALE AND

objectivesTo evaluate the predictive value of tumor and peritumor radiomics in the fatty acid binding protein 4 (FABP4) expression levels and overall survival in patients with hepatocellular carcinoma. MATERIALS AND

methodsThe genomic data of HCC patients were obtained from The Cancer Genome Atlas. The Dual-area CT images of corresponding patients were downloaded from The Cancer Imaging Archive, for radiomics feature extraction, model construction and prognosis analysis. Simultaneously, using patients from Sichuan Provincial People's Hospital, the prognostic value of the radiomics model in HCC patients was validated.

resultsIn the TCIA database, the area under the curve (AUC) values of the volumes of interest (VOI)

conclusionRadiomics models of tumor and peritumor Dual-area CT images could predict stably the expression levels of FABP4 and may be helping in personalized treatment strategies.

Indexed as

Carcinoma, HepatocellularFatty Acid-Binding ProteinsLiver NeoplasmsTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRadiomicsRetrospective StudiesFABP4 protein, humanFatty Acid-Binding ProteinsDual-area CTFatty acid binding protein 4Hepatocellular carcinomaPrediction modelRadiomics

Identifiers

PMID38453791

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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.