Risk factors and risk prediction model for recurrence in medulloblastoma.

ABSTRACT:

Background

At present, there is a lack of established treatment protocols for recurrent medulloblastoma. The assessment of recurrence risk prior to treatment is of utmost importance in determining the most suitable treatment modality and intensity for medulloblastoma. Consequently, the creation of a predictive model for medulloblastoma recurrence is imperative in aiding clinical decision-making. The objective of this study is to construct an enhanced risk prediction model for relapse in medulloblastoma by integrating molecular subtyping and straightforward immune markers, such as neutrophil-to-lymphocyte ratio (NLR), into a nomogram.

Methods

A retrospective analysis was conducted on the clinical data of 273 patients diagnosed with medulloblastoma. The NLR was calculated prio

SUBMITTER: Ai R 

PROVIDER: S-EPMC11811586 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature