Nomogram based on MRI can preoperatively predict brain invasion in meningioma.

ABSTRACT: Predicting brain invasion preoperatively should help to guide surgical decision-making and aid the prediction of meningioma grading and prognosis. However, only a few imaging features have been identified to aid prediction. This study aimed to develop and validate an MRI-based nomogram to predict brain invasion by meningioma. In this retrospective study, 658 patients were examined via routine MRI before undergoing surgery and were diagnosed with meningioma by histopathology. Least absolute shrinkage and selection operator (LASSO) regularization was used to determine the optimal combination of clinical characteristics and MRI features for predicting brain invasion by meningiomas. Logistic regression and receiver operating characteristic (ROC) curve analyses were used to determine the discri

SUBMITTER: Zhang J 

PROVIDER: S-EPMC9663361 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature