Radiological assessment schedule for high-grade glioma patients during the surveillance period using parametric modeling.

ABSTRACT:

Background

An optimal radiological surveillance plan is crucial for high-grade glioma (HGG) patients, which is determined arbitrarily in daily clinical practice. We propose the radiological assessment schedule using a parametric model of standardized progression-free survival (PFS) curves.

Methods

A total of 277 HGG patients (178 glioblastoma [GBM] and 99 anaplastic astrocytoma [AA]) from a single institute who completed the standard treatment protocol were enrolled in this cohort study and retrospectively analyzed. The patients were stratified into each layered risk group by genetic signatures and residual mass or through recursive partitioning analysis. PFS curves were estimated using the piecewise exponential survival model. The criterion of a 10% progression rate among t

SUBMITTER: Ji SY 

PROVIDER: S-EPMC8099465 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature