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Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis

PURPOSE: To systematically assess the clinical value of ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma (HCC). METHODS: Relevant articles were searched in PubMed, Web of Science, Cochrane Library, Embase and Medline and screened according to the eligibili...

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Detalles Bibliográficos
Autores principales: Xiao, Qinyu, Zhu, Wenjun, Tang, Huanliang, Zhou, Lijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272484/
https://www.ncbi.nlm.nih.gov/pubmed/37332935
http://dx.doi.org/10.1016/j.heliyon.2023.e16997
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author Xiao, Qinyu
Zhu, Wenjun
Tang, Huanliang
Zhou, Lijie
author_facet Xiao, Qinyu
Zhu, Wenjun
Tang, Huanliang
Zhou, Lijie
author_sort Xiao, Qinyu
collection PubMed
description PURPOSE: To systematically assess the clinical value of ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma (HCC). METHODS: Relevant articles were searched in PubMed, Web of Science, Cochrane Library, Embase and Medline and screened according to the eligibility criteria. The quality of the included articles was assessed based on the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. After article assessment and data extraction, the diagnostic performance of ultrasound radiomics was evaluated based on pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR), and the area under the curve (AUC) was calculated by generating the ROC curve. Meta-analysis was performed using Stata 15.1, and subgroup analysis was conducted to identify the sources of heterogeneity. A Fagan nomogram was generated to assess the clinical utility of ultrasound radiomics. RESULTS: Five studies involving 1260 patients were included. Meta-analysis showed that ultrasound radiomics had a pooled sensitivity of 79% (95% CI: 75–83%), specificity of 70% (95% CI: 59–79%), PLR of 2.6 (95% CI: 1.9–3.7), NLR of 0.30 (95% CI: 0.23–0.39), DOR of 9 (95% CI: 5–16), and AUC of 0.81 (95% CI: 0.78–0.85). Sensitivity analysis indicated that the results were statistically reliable and stable, and no significant difference was identified during subgroup analysis. CONCLUSION: Ultrasound radiomics has favorable predictive performance in the microvascular invasion of HCC and may serve as an auxiliary tool for guiding clinical decision-making.
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spelling pubmed-102724842023-06-17 Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis Xiao, Qinyu Zhu, Wenjun Tang, Huanliang Zhou, Lijie Heliyon Research Article PURPOSE: To systematically assess the clinical value of ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma (HCC). METHODS: Relevant articles were searched in PubMed, Web of Science, Cochrane Library, Embase and Medline and screened according to the eligibility criteria. The quality of the included articles was assessed based on the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. After article assessment and data extraction, the diagnostic performance of ultrasound radiomics was evaluated based on pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR), and the area under the curve (AUC) was calculated by generating the ROC curve. Meta-analysis was performed using Stata 15.1, and subgroup analysis was conducted to identify the sources of heterogeneity. A Fagan nomogram was generated to assess the clinical utility of ultrasound radiomics. RESULTS: Five studies involving 1260 patients were included. Meta-analysis showed that ultrasound radiomics had a pooled sensitivity of 79% (95% CI: 75–83%), specificity of 70% (95% CI: 59–79%), PLR of 2.6 (95% CI: 1.9–3.7), NLR of 0.30 (95% CI: 0.23–0.39), DOR of 9 (95% CI: 5–16), and AUC of 0.81 (95% CI: 0.78–0.85). Sensitivity analysis indicated that the results were statistically reliable and stable, and no significant difference was identified during subgroup analysis. CONCLUSION: Ultrasound radiomics has favorable predictive performance in the microvascular invasion of HCC and may serve as an auxiliary tool for guiding clinical decision-making. Elsevier 2023-06-03 /pmc/articles/PMC10272484/ /pubmed/37332935 http://dx.doi.org/10.1016/j.heliyon.2023.e16997 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Xiao, Qinyu
Zhu, Wenjun
Tang, Huanliang
Zhou, Lijie
Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis
title Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis
title_full Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis
title_fullStr Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis
title_full_unstemmed Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis
title_short Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis
title_sort ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272484/
https://www.ncbi.nlm.nih.gov/pubmed/37332935
http://dx.doi.org/10.1016/j.heliyon.2023.e16997
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