Diagnostic Performance of a Receptor-Binding Radiopharmacokinetic Model

• Published in: The Journal of nuclear medicine (1978) Vol. 37; no. 1; pp. 160 - 164
• Main Authors: Vera, David R, Stadalnik, Robert C, Metz, Charles E, Pimstone, Neville R
• Format: Journal Article
• Language: English
• Published: Reston, VA Soc Nuclear Med 01-01-1996; Society of Nuclear Medicine
• Subjects: Albumins; Biological and medical sciences; Case-Control Studies; Digestion. Liver. Biliary tract. Spleen. Pancreas; Heart - diagnostic imaging; Humans; Investigative techniques, diagnostic techniques (general aspects); Liver - diagnostic imaging; Liver - metabolism; Liver Diseases - diagnostic imaging; Liver Diseases - metabolism; Medical sciences; Models, Biological; Organotechnetium Compounds; Radionuclide Imaging; Radionuclide investigations; Receptors, Cell Surface - analysis; ROC Curve; Sensitivity and Specificity; Serum Albumin; Tissue Distribution; Biological fixation; Hepatocyte; Digestive diseases; Hepatic disease; Models; Diagnosis; Pharmacokinetics; Biological receptor
• ISSN: 0161-5505; 1535-5667

The aim of this study was to determine which measurement obtained from a radiopharmacokinetic model of a receptor-binding radiotracer provides the highest diagnostic performance for the detection of diffuse hepatocellular disease.
Twenty-seven healthy subjects and 46 patients with diffuse hepatocellular disease were studied with the receptor-binding radiopharmaceutical, 99mTc-galactosyl-neoglycoalbumin. A radiopharmacokinetic model was used to produce estimates of receptor concentration [R]o, the scaled forward-binding rate constant Kb, hepatic plasma volume, Vh, extrahepatic plasma volume, Ve and hepatic plasma flow, F. Receiver operating characteristic analysis of each model estimate was conducted.
Receptor concentration [R]o and the metrics [R]o/tbw and kb[R]o[R]o/tbw provided the best discrimination between healthy and diseased liver. The forward-binding rate constant kb and the metrics F/Ve and Vh/tbw provided no discrimination.
Based on simplicity and higher measurement precision, [R]o was selected as the most accurate index of hepatic function.