Computer-assisted individual estimation of radioiodine thyroid uptake in Grave's disease.
A computer-assisted Bayesian individual estimation of radioiodine thyroid uptake kinetics for patients suffering from Grave's disease is proposed. The program provides a fast computation of the activity to be administered to a given patient to achieve a target thyroid absorbed dose. This determination relies upon the patient biological covariates and upon a small number of measurements performed during a preliminar kinetic study of radioiodine thyroid uptake. Our results indicate that a two-sample Bayesian approach is reliable when external thyroid counts are performed at 2 h and 168 h after a test dose and has advantages over conventional kinetic experiments in terms of patient acceptability. This method is implemented on widespread computers and interfaced with a patient database. An interactive user interface with in-line data checking is provided. The program could be also a tool to better study the relationship between the absorbed dose and the clinical effect.
Merlé
Y
Y
INSERM U194, GERC, Service d'Informatique Médicale, CHU Pitié-Salpêtrière, Paris, France.
Mentré
F
F
Mallet
A
A
Aurengo
A
A
D000328:Adult; D000368:Aged; D000465:Algorithms; D001499:Bayes Theorem; D003198:Computer Simulation; D004360:Drug Therapy, Computer-Assisted; D005260:Female; D006111:Graves Disease / Q000188:drug therapy / Q000378:metabolism*; D006801:Humans; D007457:Iodine Radioisotopes / Q000008:administration & dosage / Q000493:pharmacokinetics* / Q000627:therapeutic use; D008297:Male; D008838:Microcomputers; D008875:Middle Aged; D008954:Models, Biological; D012984:Software; D013961:Thyroid Gland / Q000378:metabolism*
D007457:Iodine Radioisotopes