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Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis
BACKGROUND: This meta-analysis aimed to assess the efficacy of radiomics using non-enhanced computed tomography (NCCT) for predicting hematoma expansion in patients with spontaneous intracerebral hemorrhage. METHODS: Throughout the inception of the project to April 11, 2022, a comprehensive search w...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872032/ https://www.ncbi.nlm.nih.gov/pubmed/36703784 http://dx.doi.org/10.3389/fonc.2022.973104 |
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author | Jiang, Yan-Wei Xu, Xiong-Jei Wang, Rui Chen, Chun-Mei |
author_facet | Jiang, Yan-Wei Xu, Xiong-Jei Wang, Rui Chen, Chun-Mei |
author_sort | Jiang, Yan-Wei |
collection | PubMed |
description | BACKGROUND: This meta-analysis aimed to assess the efficacy of radiomics using non-enhanced computed tomography (NCCT) for predicting hematoma expansion in patients with spontaneous intracerebral hemorrhage. METHODS: Throughout the inception of the project to April 11, 2022, a comprehensive search was conducted on PubMed, Embase, and Cochrane Central Register of Controlled Trials. The methodological quality of studies in this analysis was assessed by the radiomics quality scoring system (RQS). A meta-analysis of radiomic studies based on NCCT for predicting hematoma expansion in patients with intracerebral hemorrhage was performed. The efficacy of the radiomics approach and non-contrast CT markers was compared using network meta-analysis (NMA). RESULTS: Ten articles comprising a total of 1525 patients were quantitatively analyzed for hematoma expansion after cerebral hemorrhage using radiomics. Based on the included studies, the mean RQS was 14.4. The AUC value (95% confidence interval) of the radiomics model was 0.80 (0.76-0.83). Five articles comprising 846 patients were included in the NMA. The results synthesized according to Bayesian NMA revealed that the predictive ability of the radiomics model outperformed most of the NCCT biomarkers. CONCLUSIONS: The NCCT-based radiomics approach has the potential to predict hematoma expansion. Compared to NCCT biomarkers, we recommend a radiomics approach. Standardization of the radiomics approach is required for further clinical implementation. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=324034, identifier [CRD42022324034]. |
format | Online Article Text |
id | pubmed-9872032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98720322023-01-25 Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis Jiang, Yan-Wei Xu, Xiong-Jei Wang, Rui Chen, Chun-Mei Front Oncol Oncology BACKGROUND: This meta-analysis aimed to assess the efficacy of radiomics using non-enhanced computed tomography (NCCT) for predicting hematoma expansion in patients with spontaneous intracerebral hemorrhage. METHODS: Throughout the inception of the project to April 11, 2022, a comprehensive search was conducted on PubMed, Embase, and Cochrane Central Register of Controlled Trials. The methodological quality of studies in this analysis was assessed by the radiomics quality scoring system (RQS). A meta-analysis of radiomic studies based on NCCT for predicting hematoma expansion in patients with intracerebral hemorrhage was performed. The efficacy of the radiomics approach and non-contrast CT markers was compared using network meta-analysis (NMA). RESULTS: Ten articles comprising a total of 1525 patients were quantitatively analyzed for hematoma expansion after cerebral hemorrhage using radiomics. Based on the included studies, the mean RQS was 14.4. The AUC value (95% confidence interval) of the radiomics model was 0.80 (0.76-0.83). Five articles comprising 846 patients were included in the NMA. The results synthesized according to Bayesian NMA revealed that the predictive ability of the radiomics model outperformed most of the NCCT biomarkers. CONCLUSIONS: The NCCT-based radiomics approach has the potential to predict hematoma expansion. Compared to NCCT biomarkers, we recommend a radiomics approach. Standardization of the radiomics approach is required for further clinical implementation. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=324034, identifier [CRD42022324034]. Frontiers Media S.A. 2023-01-10 /pmc/articles/PMC9872032/ /pubmed/36703784 http://dx.doi.org/10.3389/fonc.2022.973104 Text en Copyright © 2023 Jiang, Xu, Wang and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Jiang, Yan-Wei Xu, Xiong-Jei Wang, Rui Chen, Chun-Mei Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis |
title | Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis |
title_full | Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis |
title_fullStr | Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis |
title_full_unstemmed | Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis |
title_short | Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis |
title_sort | efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: a meta-analysis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872032/ https://www.ncbi.nlm.nih.gov/pubmed/36703784 http://dx.doi.org/10.3389/fonc.2022.973104 |
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