Comparison of different kinetic models for dynamic
Algorithms
Carcinoma, Hepatocellular
/ diagnostic imaging
Female
Fluorodeoxyglucose F18
/ metabolism
Hepatic Artery
/ diagnostic imaging
Humans
Image Processing, Computer-Assisted
Kinetics
Liver Neoplasms
/ diagnostic imaging
Male
Middle Aged
Models, Biological
Positron Emission Tomography Computed Tomography
Journal
Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220
Informations de publication
Date de publication:
10 02 2020
10 02 2020
Historique:
pubmed:
3
1
2020
medline:
13
8
2020
entrez:
3
1
2020
Statut:
epublish
Résumé
A kinetic modeling analysis was performed on hepatocellular carcinoma (HCC) as well as healthy liver tissue regions from dynamic FDG positron emission tomographys/computer tomography (PET/CT) cans. On basis of image derived input function from hepatic artery and portal vein, various kinetic models were compared among each other in order to check whether HCC can be classified and differ from healthy tissue within the kinetic parameters. 14 HCC and 10 healthy liver regions from FDG PET/CT scans of ten patients were analyzed from their time activity curves (TACs) were extracted from the PET dynamic images. Also the hepatic artery and the portal vein were delineated in the fused PET/CT images, which were used as input functions. Four kinetic models were applied to the TACs, using both or only one input function. Results were analyzed with several information criteria according to Akaike and Schwartz as well as be the F-Test. The paired student's t-test was used to determine the differences between HCC and healthy regions. All applied models revealed significant differences of p < 0.01 of k
Identifiants
pubmed: 31896098
doi: 10.1088/1361-6560/ab66e3
doi:
Substances chimiques
Fluorodeoxyglucose F18
0Z5B2CJX4D
Types de publication
Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM