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1000
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Abstract/Summary
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Risk factors to predict late-onset tumor recurrence in meningioma patients are urgently needed to schedule control intervals during long-term follow-up. We therefore analyzed the value of established risk factors for postoperative meningioma recurrence for the prediction of long-term prognosis. Correlations of clinical and histopathological variables with tumor relapse after 3, 5, and 10 years following microsurgery were analyzed in uni- and multivariate analyses, and compared to findings in the entire cohort. In the entire cohort (N = 1218), skull base location (HR: 1.51, 95%CI 1.05-2.16; p = .026), Simpson ≥ IV resections (HR: 2.41, 95%CI 1.52-3.84; p < .001), high-grade histology (HR: 3.70, 95%CI 2.50-5.47; p < .001), and male gender (HR: 1.46, 95%CI 1.01-2.11; p = .042) were independent risk factors for recurrence. Skull base location (HR: 1.92, 95%CI 1.17-3.17; p = .010 and HR: 2.02, 95%CI 1.04-3.95; p = .038) and high-grade histology (HR: 1.87, 95%CI 1.04-3.38; p = .038 and HR: 2.29, 95%CI 1.07-4.01; p = .034) but not subtotal resection (HR: 1.53, 95%CI .68-3.45; p = .303 and HR: 1.75, 95%CI .52-5.96; p = .369) remained correlated with recurrence after a recurrence-free follow-up of ≥ 3 and ≥ 5 years, respectively. Postoperative tumor volume was related with recurrence in general (p < .001) but not beyond a follow-up of ≥ 3 years (p > .05). In 147 patients with a follow-up of ≥ 10 years, ten recurrences occurred and were not correlated with any of the analyzed variables. Skull base tumor location and high-grade histology but not the extent of resection should be considered when scheduling the long-term follow-up after meningioma surgery. Recurrences ≥ 10 years after surgery are rare, and predictors are lacking.
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1000
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Hinweis
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DeepGreen-ID: b4601a67e3874a01afad637db3568894 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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