An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson's disease.

ABSTRACT: Cognitive impairment in Parkinson's disease (PD) severely affects patients' prognosis, and early detection of patients at high risk of dementia conversion is important for establishing treatment strategies. We aimed to investigate whether multiparametric MRI radiomics from basal ganglia can improve the prediction of dementia development in PD when integrated with clinical profiles. In this retrospective study, 262 patients with newly diagnosed PD (June 2008-July 2017, follow-up >5 years) were included. MRI radiomic features (n = 1284) were extracted from bilateral caudate and putamen. Two models were developed to predict dementia development: (1) a clinical model-age, disease duration, and cognitive composite scores, and (2) a combined clinical and radiomics model. The area under the recei

SUBMITTER: Park CJ 

PROVIDER: S-EPMC10468504 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature