The value of morphological magnetic resonance imaging features combined with diffusion kurtosis imaging for predicting Ki-67 expression levels in high-grade gliomas.

ABSTRACT:

Background

Accurate preoperative prediction of Ki-67 expression levels is especially crucial for developing appropriate individualized treatment plans and evaluating prognoses in patients with high-grade gliomas (HGGs). Although previous studies have shown that magnetic resonance imaging (MRI) can preoperatively predict Ki-67 expression levels in glioma, the optimal parameters and predictive performance remain controversial. In particular, there is insufficient research on the value of morphological MRI (mMRI) features and diffusion kurtosis imaging (DKI) for the preoperative assessment of Ki-67 expression levels in HGG. This study aimed to investigate the value of combining mMRI features with DKI for preoperative prediction of Ki-67 expression levels in HGG.

Methods

A total

SUBMITTER: Wang P 

PROVIDER: S-EPMC11994507 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature