{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T20:57:51Z","timestamp":1790283471357,"version":"4.1.0"},"reference-count":35,"publisher":"BMJ","issue":"4","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["J NeuroIntervent Surg"],"accepted":{"date-parts":[[2020,11,3]]},"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Complete occlusion of an intracranial aneurysm (IA) after the deployment of a flow-diverter stent is currently unpredictable. The aim of this study was to develop a predictive occlusion score based on pretreatment clinical and angiographic criteria.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Consecutive patients with \u22656 months follow-up were included from 2008 to 2019 and retrospectively analyzed. Each IA was evaluated using the Raymond\u2013Roy occlusion classification (RROC) and dichotomized as occluded (A) or residual (B\/C); 80% of patients were randomly assigned to the training sample. Feature selection and binary outcome prediction relied on logistic regression and threshold maximizing class separation selected by a CART tree algorithm. The feature selection was addressed by a genetic algorithm selected from the 30 pretreatment available variables.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The study included 146 patients with 154 IAs. Feature selection yielded a combination of six variables with a good cross-validated accuracy on the test sample, a combination we labeled DIANES score (IA diameter, indication, parent artery diameter ratio, neck ratio, side-branch artery, and sex). A score of more than \u22126 maximized the ability to predict RROC=A with sensitivity of 87% (95% CI 79% to 95%) and specificity of 82% (95% CI 64% to 96%) in the training sample. Accuracy was 86% (95% CI 79% to 94%). In the test sample, sensitivity and specificity were 89% (95% CI 77% to 98%) and 60% (95% CI 33% to 86%), respectively. Accuracy was 81% (95% CI 69% to 91%).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>A score was developed as a grading scale for prediction of the final occlusion status of IAs treated with a flow-diverter stent.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/neurintsurg-2020-016748","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T17:24:36Z","timestamp":1605893076000},"page":"341-346","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":32,"title":["Predictive score for complete occlusion of intracranial aneurysms treated by flow-diverter stents using machine learning"],"prefix":"10.1136","volume":"13","author":[{"given":"Alexis","family":"Gu\u00e9don","sequence":"first","affiliation":[{"name":"Biosurgical Research Lab (Carpentier Foundation), European Georges-Pompidou Hospital, INSERM UMR_S 1140, University of Paris, Paris, France"},{"name":"Department of Anatomy, University of Paris, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C\u00e9dric","family":"Th\u00e9penier","sequence":"additional","affiliation":[{"name":"French Armed Forces Biomedical Research Institute (IRBA), Br\u00e9tigny-sur-Orge, France"},{"name":"Department of Experimental Neuropathology, Institut Pasteur, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eimad","family":"Shotar","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, Piti\u00e9-Salp\u00eatri\u00e8re Hospital, AP-HP, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph","family":"Gabrieli","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, University of Padova Faculty of Medicine and Surgery, Padova, Veneto, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9182-5846","authenticated-orcid":false,"given":"Bertrand","family":"Mathon","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Piti\u00e9-Salp\u00eatri\u00e8re Hospital, AP-HP, Paris, France"},{"name":"Sorbonne University, Paris, \u00cele-de-France, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K\u00e9vin","family":"Premat","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, Piti\u00e9-Salp\u00eatri\u00e8re Hospital, AP-HP, Paris, France"},{"name":"Sorbonne University, Paris, \u00cele-de-France, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"St\u00e9phanie","family":"Lenck","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, Piti\u00e9-Salp\u00eatri\u00e8re Hospital, AP-HP, Paris, 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