Computer-Aided Classification Framework of Parkinsonian Disorders Using ¹¹C-CFT PET Imaging.

ABSTRACT:

Purpose

To investigate the usefulness of a novel computer-aided classification framework for the differential diagnosis of parkinsonian disorders (PDs) based on ¹¹C-methyl-N-2β-carbomethoxy-3β-(4-fluorophenyl)-tropanel (¹¹C-CFT) positron emission tomography (PET) imaging.

Methods

Patients with different forms of PDs-including Parkinson's disease (PD), multiple system atrophy (MSA) and progressive supranuclear palsy (PSP)-underwent dopamine transporter (DAT) imaging with ¹¹C-CFT PET. A novel multistep computer-aided classification framework-consisting of magnetic resonance imaging (MRI)-assisted PET segmentation, feature extraction and prediction, and automatic subject classification-was developed. A random forest method was used to assess the

SUBMITTER: Xu J 

PROVIDER: S-EPMC8846284 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature