Kinetic Modeling of Brain [^18-F]FDG Positron Emission Tomography Time Activity Curves with Input Function Recovery (IR) Method.

ABSTRACT: Accurate positron emission tomography (PET) data quantification relies on high-quality input plasma curves, but venous blood sampling may yield poor-quality data, jeopardizing modeling outcomes. In this study, we aimed to recover sub-optimal input functions by using information from the tail (5th-100th min) of curves obtained through the frequent sampling protocol and an input recovery (IR) model trained with reference curves of optimal shape. Initially, we included 170 plasma input curves from eight published studies with clamp [¹⁸F]-fluorodeoxyglucose PET exams. Model validation involved 78 brain PET studies for which compartmental model (CM) analysis was feasible (reference (ref) + training sets). Recovered curves were compared with original curves using area under curve (AUC

SUBMITTER: Bucci M 

PROVIDER: S-EPMC10890269 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature