الفهرس 
Title pageOnly 14 pages are availabe for public view
 |  | from | 127 |  |  |
| | | from | 127 | | |
Abstract
Cancer is a significant general wellbeing overall issue and is the subsequent driving reason for death.Medical imaging is the field of securing and investigating data of internal tissue and organs of body that can help in diagnosis of a sickness and furthermore aid its treatment arranging, nuclear medicine PET is invasive technique used to detect function and morphology of lesions needed to be diagnosed.
18F-FDG mimics glucose, for cancer cells glucose enters the cell through a transporter and converted to pyruvate by glycolysis. While in F18-FDG uptake by cancer cells. FDG enters cells by glucose transporters and is phosphorylated by hexokinase to FDG-6-phosphate and is trapped in cancer cell until decay of F18 group in to O18 after 109.7 minute, where 18F-FDG converted to glucose and metabolized.
Static PET-CT uses single whole body three dimensional images which is analyzed by the mean of SUV to differentiate active biological cells (tumors) from normal cells, while dynamic PET-CT consists of series of static images related to time for evaluating rate for utilization of F18-FDG by different types of cells, image is analyzed using different types of CM analysis.
Compartmental model analysis is way of mathematical modeling where different types of tissue is represented into compartment and analyzed to fit reasonable model to the actual data, different types of models where generated to represent the utilization of F18-FDG in cancer cells and normal cells, kinetic parameter can be extracted from time activity curves derived from ROI of selected tissue type.
Our aim in this study is to evaluate more kinetic parameter to help in assignment in diagnosis of malignant cells and overcome of SUV drawbacks and also to correlate kinetic parameters from dynamic-PET-CT to SUV from static PET-CT.
We used 61 ROIs derived from both static and dynamic-PET-CT and SUV analysis werecarried out for all static PET-CT and all kinetic parameters where done from dynamic- PET-CT using different types of modules such as 1 compartmental model, Patlok analysis, 2 compartmental model K1/K2 and 2 compartmental model FDG.
Result from our data showed great significant difference between tumor ROI and reference tissue ROI in all compartmental models for MRGLU. and flux, and it show moderate correlation between kinetic parameters such MRGLU. from dynamic PET-CTand SUV from static PET-CT. and it also find good correlation between SUV tumor to liver with SUV tumor to reference tissue from same organ.
Our study concluded that good benefit of dynamic-PET-CT kinetic parameter to help in diagnosis of malignant lesion with the slandered work for image analysis by SUVfrom static PET-CT. and recommended further more investigation using whole body dynamic- PET-CT as our result shows more benefit knowing kinetic parameters of utilization of 18F-FDG for tumors and normal tissue.