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ABSTRACT: Objectives
Atypical meningioma (AM) has a high recurrence rate. This study explored the factors associated with recurrence and built a predictive model for AM by combining radiomic and clinical features.Methods
This retrospective cohort study enrolled 451 adult AM patients who underwent surgical treatment at three institutions between May 2012 and April 2024. The patients in institution 1 were randomly assigned to the training dataset (n = 246) or internal validation dataset (n = 164) at a ratio of 6:4, and patients in institutions 2 and 3 composed the external validation dataset (n = 41). The clinical and pathological characteristics of the patients were collected, and radiomics technology was used to extract image features from preoperative multiparametric MR images. Afte
SUBMITTER: Song D
PROVIDER: S-EPMC11884072 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature