Clinical Pharmacokinetics of Radiopharmaceuticals from SPECT/CT Image Acquisition by Contouring in Patients with Gastroenteropancreatic Neuroendocrine Tumors: Lu-177 DOTATATE (Lutathera ® ) Case.

Anissa BarakatLore SantoroMyrtille VivienPierre-Olivier KotzkiEmmanuel DeshayesSonia Khier

Published in: European journal of drug metabolism and pharmacokinetics (2023)

This study is a proof of concept that obtaining pharmacokinetic parameters with image-based blood concentration is possible. Obtaining observed concentrations from SPECT/CT images, without the need for blood sampling, is a real advantage for the patient and the drug monitoring. Pharmacokinetic modeling could be combined with a deep learning model for automatic contouring and allow precise patient-specific dose adjustment in a non-invasive manner.

Keyphrases

deep learning
neuroendocrine tumors
convolutional neural network
artificial intelligence
image quality
dual energy
computed tomography
weight loss
pet ct
contrast enhanced
machine learning
positron emission tomography
case report
magnetic resonance imaging
magnetic resonance
optical coherence tomography