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Clinical, coagulation, radiological, and treatment factors were recorded. MMAE was performed systematically from October 2022, using polyvinyl alcohol (PVA) particles injected directly from the main trunk of MMA.<\/jats:p>\n                    <jats:p>\n                      The dataset comprised 45 quantitative and qualitative variables for each cSDH. Variables showing statistical significance (p-value\u2009&lt;\u20090.05) were selected as covariates in two supervised learning frameworks to predict the RrR (outcome,\n                      <jats:italic>Y<\/jats:italic>\n                      ): (\n                      <jats:italic>i<\/jats:italic>\n                      ) Classification and Regression Tree (CART) and (\n                      <jats:italic>ii<\/jats:italic>\n                      ) Random Forest (RF) classifier.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      500 patients were eligible and 233 were included, resulting in 283 treated cSDHs (mean follow-up: 119\u00a0days); 129 underwent adjuvant MMAE. 50 cSDH had a RrR (mean time to recurrence: 47\u00a0days), of which 41 (82%) in the non-embolized group and 9 (18%) in the embolized group (p-value\u2009&lt;\u20090.001). Adjuvant embolization was the strongest factor associated with RrR, significantly reducing the risk for reintervention. Markwalder grading scale, preoperative cSDH volume, and platelet count (PLT) are strong predictors in non-embolized patients. A critical PLT cut-off of 229\u2009\u00d7\u200910\n                      <jats:sup>9<\/jats:sup>\n                      \/L strongly impacts RrR risk for substantial cSDH volumes.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The present results support the routine use of MMAE and the correction of PLT in relation to cSDH volume.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00701-025-06737-8","type":"journal-article","created":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T14:06:19Z","timestamp":1766239579000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A visual mining analysis of middle meningeal embolization and other factors associated with recurrence requiring re-operation in subdural hematomas: a single-center series"],"prefix":"10.1007","volume":"167","author":[{"given":"Marco","family":"Battistelli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marika","family":"Vezzoli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iacopo","family":"Valente","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Massimo","family":"Benenati","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuseppe","family":"Garignano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Alexandre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ludovico","family":"Agostini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuele","family":"Santi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ottavia","family":"Giovinazzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonardo","family":"Nardini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federico","family":"Costa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giorgio Quintino","family":"D\u2019Alessandris","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuela","family":"D\u2019Ercole","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Izzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Rapisarda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Signorelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicola","family":"Montano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simona","family":"Gaudino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Olivi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Pedicelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filippo Maria","family":"Polli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Doglietto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,12,20]]},"reference":[{"issue":"1","key":"6737_CR1","doi-asserted-by":"publisher","DOI":"10.3390\/jpm11010014","volume":"11","author":"G Abate","year":"2020","unstructured":"Abate G, Vezzoli M, Polito L et al (2020) A conformation variant of p53 combined with machine learning identifies Alzheimer disease in preclinical and prodromal stages. 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