The purpose of the study was to determine the value of a logistic regression model
nomogram based on conventional magnetic resonance imaging (MRI) features and …

Objective To investigate the value of histogram analysis of T1 mapping and diffusion-
weighted imaging (DWI) in predicting the grade, subtype, and proliferative activity of …

Purpose To establish and validate a radiomics nomogram for preoperative prediction of
isocitrate dehydrogenase (IDH) mutation status of gliomas in a multicenter setting. Methods …

AIM To explore the predictive value of the radiomics feature-based nomogram for predicting
telomerase reverse transcriptase (TERT) promoter mutation status and prognosis of lower …

Background Preoperative differentiation between angiomatous meningioma (AM) and
atypical meningioma (ATM) is related to treatment planning. In this study, we explored the …

Rationale and Objectives To evaluate the usefulness of intravoxel incoherent motion (IVIM)
histogram analysis for differentiating low-grade meningiomas (LGMs) and high-grade …

Since accurate grading of gliomas has important clinical value, the aim of this study is to
evaluate the diagnostic efficacy of perfusion values derived from arterial spin labeling (ASL) …

To investigate the value of preoperative MRI features and ADC histogram analysis for
evaluating tumor-infiltrating CD8+ T cells in meningiomas. In this single-center cross …

Rationale and Objectives Preoperative prediction of meningioma consistency is of great
clinical value for risk stratification and surgical approach selection. However, to date …

Background and purpose The ability to predict high-grade meningioma preoperatively is
important for clinical surgical planning. The purpose of this study is to evaluate the …