Non-invasive regional cerebral blood flow quantification in the 123I-IMP autoradiography using artificial neural network

ABSTRACT:

Purpose

Regional cerebral blood flow (rCBF) quantification using 123I-N-isopropyl-p-iodoamphetamine (123I-IMP) requires an invasive, one-time-only arterial blood sampling for measuring the 123I-IMP arterial blood radioactivity concentration (Ca10). The purpose of this study was to estimate Ca10 by machine learning (ML) using artificial neural network (ANN) regression analysis and consequently calculating rCBF and cerebral vascular reactivity (CVR) in the dual-table autoradiography (DTARG) method.

Materials and methods

This retrospective study included 294 patients who underwent rCBF measurements through the 123I-IMP DTARG. In the ML, the objective variable was defined by the measured Ca10, whereas the explanatory variables included 28 numeric parameters, such as patient c

SUBMITTER: Kaga T 

PROVIDER: S-EPMC9994717 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature