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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10272484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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