{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T17:21:31Z","timestamp":1788456091292,"version":"build-2803163510"},"reference-count":38,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T00:00:00Z","timestamp":1728432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>To systematically review the literature on radiomics for predicting intracranial aneurysm rupture and conduct a meta-analysis to obtain evidence confirming the value of radiomics in this prediction.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A systematic literature search was conducted in PubMed, Web of Science, Embase, and The Cochrane Library databases up to March 2024. The QUADAS-2 tool was used to assess study quality. Stata 15.0 and Review Manager 5.4.1 were used for statistical analysis. Outcomes included combined sensitivity (Sen), specificity (Spe), positive likelihood ratio (+LR), negative likelihood ratio (\u2212LR), diagnostic odds ratio (DOR), and their 95% confidence intervals (CI), as well as pre-test and post-test probabilities. The SROC curve was plotted, and the area under the curve (AUC) was calculated. Publication bias and small-study effects were assessed using the Deeks\u2019 funnel plot.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The 9 included studies reported 4,284 patients, with 1,411 patients with intracranial aneurysm rupture (prevalence 32.9%). The overall performance of radiomics for predicting intracranial aneurysm rupture showed a combined Sen of 0.78 (95% CI: 0.74\u20130.82), Spe of 0.74 (95% CI: 0.70\u20130.78), +LR of 3.0 (95% CI: 2.7\u20133.4), \u2212LR of 0.29 (95% CI: 0.25\u20130.35), DOR of 10 (95% CI: 9\u201312), and AUC of 0.83 (95% CI: 0.79\u20130.86). Significant heterogeneity was observed in both Sen (I<jats:sup>2<\/jats:sup> =\u200990.93, 95% CI: 89.00\u201392.87%) and Spe (I<jats:sup>2<\/jats:sup> =\u200994.28, 95% CI: 93.21\u201395.34%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Radiomics can improve the diagnostic efficacy of intracranial aneurysm rupture. More large-sample, prospective, multicenter clinical studies are needed to further evaluate its predictive value.<\/jats:p><\/jats:sec><jats:sec><jats:title>Systematic review registration<\/jats:title><jats:p><jats:ext-link>https:\/\/www.crd.york.ac.uk\/PROSPERO\/<\/jats:ext-link>.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnins.2024.1474780","type":"journal-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T05:10:39Z","timestamp":1728450639000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Predictive value of radiomics for intracranial aneurysm rupture: a systematic review and meta-analysis"],"prefix":"10.3389","volume":"18","author":[{"given":"Haoda","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haidong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junsheng","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangfu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zailiang","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,10,9]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"864","DOI":"10.3389\/fneur.2021.619864","article-title":"CT angiography-based Radiomics for classification of intracranial aneurysm rupture","volume":"12","author":"Alwalid","year":"2021","journal-title":"Front. 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