Preoperative prediction of pituitary neuroendocrine tumor consistency based on multiparametric MRI radiomics: a multicenter study.

ABSTRACT:

Objective

To investigate the clinical value of preoperative prediction of pituitary neuroendocrine tumor（PitNET） consistency based on multiparametric magnetic resonance imaging (mpMRI) radiomics.

Patients and methods

The clinical data of 137 patients with PitNET who underwent preoperative mpMRI were retrospectively analyzed and classified into soft and hard according to the consistency of the PitNET tumor with the surgical records of neurosurgeons. The patients were randomly divided into two sets: a training set (n = 108) and an internal validation set (n = 29). Single and multifactorial factors were used to analyze clinical high-risk risk factors and establish clinical models. Using the logistic regression (LR) classifier to construct radiomics signature based on 2D and 3D

SUBMITTER: Yang Q 

PROVIDER: S-EPMC12495624 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature