Ontology highlight
ABSTRACT: Background
Trigeminal neuralgia, a severe chronic neuropathic pain disorder, is widely believed to be amenable to surgical treatments. Nearly 20% of patients, however, do not have adequate pain relief after surgery. Objective tools for personalized pre-treatment prognostication of pain relief following surgical interventions can minimize unnecessary surgeries and thus are of substantial benefit for patients and clinicians.Purpose
To determine if pre-treatment regional brain morphology-based machine learning models can prognosticate 1 year response to Gamma Knife radiosurgery for trigeminal neuralgia.Methods
We used a data-driven approach that combined retrospective structural neuroimaging data and support vector machine-based machine learning to produce robust multi
SUBMITTER: Hung PS
PROVIDER: S-EPMC8184658 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature