Automated volumetry of meningiomas in contrast-enhanced T1-Weighted MRI using deep learning.

ABSTRACT:

Background

Meningiomas are among the most common intracranial tumors. In these tumors, volumetric assessment is not only important for planning therapeutic intervention but also for follow-up examination.However, a highly accurate automated volumetric method for meningiomas using single-modality magnetic resonance imaging (MRI) has not yet been reported. Here, we aimed to develop a deep learning-based automated volumetry method for meningiomas in MRI and investigate its accuracy and potential clinical applications.

Methods

For deep learning, we used MRI images of patients with meningioma who were referred to Osaka University Hospital between January 2007 and October 2020. Imaging data of eligible patients were divided into three non-overlapping groups: training, validation,

SUBMITTER: Iwata T 

PROVIDER: S-EPMC10918322 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature