Robustness of radiomic features in 123I-ioflupane-dopamine transporter single-photon emission computer tomography scan.

ABSTRACT: Radiomic features are usually used to predict target variables such as the absence or presence of a disease, treatment response, or time to symptom progression. One of the potential clinical applications is in patients with Parkinson's disease. Robust radiomic features for this specific imaging method have not yet been identified, which is necessary for proper feature selection. Thus, we are assessing the robustness of radiomic features in dopamine transporter imaging (DaT). For this study, we made an anthropomorphic head phantom with tissue heterogeneity using a personal 3D printer (polylactide 82% infill); the bone was subsequently reproduced with plaster. A surgical cotton ball with radiotracer (123I-ioflupane) was inserted. Scans were performed on the two-detector hybrid camera with ac

SUBMITTER: Laskov V 

PROVIDER: S-EPMC11008844 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature