Redha-alla Abdo, Chang-Shu Wang, É. Lavallée, F. Lessard, M. Bentourkia
{"title":"The Role of Dynamic 11C-Acetate PET imaging in Early Detection of Response to Radiotherapy Treatment","authors":"Redha-alla Abdo, Chang-Shu Wang, É. Lavallée, F. Lessard, M. Bentourkia","doi":"10.1109/NSS/MIC42677.2020.9508103","DOIUrl":null,"url":null,"abstract":"Positron Emission Tomography (PET) imaging with 11C-Acetate (ACE) is regularly used in cardiovascular and in cancer imaging. In the earlier stages of ACE developments, it has been mainly used for hepatocellular carcinoma, prostate cancer, and myocardial oxygen consumption. The previous studies compared the advantage of ACE with 18F-Fluorodeoxyglucose (18F-FDG) imaging using Standard Uptake Value (SUV) and the tissue-to-blood ratio (TBR) method. The current study proposes the application of dynamic ACE PET imaging in monitoring the early response to cancer treatment. We conducted two dynamic ACE PET scans on two patients suffering from Head and Neck Cancer (HNC) (Squamous Cell Carcinoma) in the base of the tongue. Pre-treatment dynamic ACE and static 18F-FDG PET were conducted before initiation of the treatment, and the second ACE dynamic scan was performed after four weeks of radiotherapy (after 35 Gy). We applied the two-tissue compartment model to represent the kinetics of ACE in HNC. The results showed a reduction in tumor volume by more than 50% compared to the initial volume in patient-1. Besides, patient-2 has displayed a more reduced tumor volume after 4 weeks of treatment. Compartmental modeling parameter k2 increased after radiotherapy dose in both patients. This increase of k2 could reflect the reoxygenation process inside the tumor, and it can reflect the early treatment response. In conclusion, ACE could predict the early changes in the tumor perfusion and the oxidative metabolism to optimally adjust the treatment.","PeriodicalId":6760,"journal":{"name":"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"44 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSS/MIC42677.2020.9508103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Positron Emission Tomography (PET) imaging with 11C-Acetate (ACE) is regularly used in cardiovascular and in cancer imaging. In the earlier stages of ACE developments, it has been mainly used for hepatocellular carcinoma, prostate cancer, and myocardial oxygen consumption. The previous studies compared the advantage of ACE with 18F-Fluorodeoxyglucose (18F-FDG) imaging using Standard Uptake Value (SUV) and the tissue-to-blood ratio (TBR) method. The current study proposes the application of dynamic ACE PET imaging in monitoring the early response to cancer treatment. We conducted two dynamic ACE PET scans on two patients suffering from Head and Neck Cancer (HNC) (Squamous Cell Carcinoma) in the base of the tongue. Pre-treatment dynamic ACE and static 18F-FDG PET were conducted before initiation of the treatment, and the second ACE dynamic scan was performed after four weeks of radiotherapy (after 35 Gy). We applied the two-tissue compartment model to represent the kinetics of ACE in HNC. The results showed a reduction in tumor volume by more than 50% compared to the initial volume in patient-1. Besides, patient-2 has displayed a more reduced tumor volume after 4 weeks of treatment. Compartmental modeling parameter k2 increased after radiotherapy dose in both patients. This increase of k2 could reflect the reoxygenation process inside the tumor, and it can reflect the early treatment response. In conclusion, ACE could predict the early changes in the tumor perfusion and the oxidative metabolism to optimally adjust the treatment.