Kateryna Musaieva
All-Ukrainian Center of Radiosurgery, Ukraine
Posters & Accepted Abstracts: J Nucl Med Radiat Ther
Background: Statistical image features of tumor metabolism from pretreatment 18F-FDG-PET/CT scans were studied for their potential to predict clinical outcome of salvage re-irradiation with intensity modulated radiotherapy (IMRT) for recurrent squamous cell carcinoma of head and neck (HNSCC). Materials and Methods: Pretreatment PET/CT scans and after treatment PET/CT scans of patients who underwent IMRT reirradiation for recurrent HNSCC, were retrospectively evaluated. Metabolic response was assessed using PET response criteria for solid tumors (PERCIST). Multiple statistical image features related to the standard uptake value (SUV) were computed: metabolic tumor volume, maximum SUV, mean SUV, total lesion glycolysis (TLG). The correlation between the image features and local control and overall survival was calculated. Results: Complete tumor metabolic response (CMR) was achieved in 5 patients (45.5%). Six patients failed to achieve CMR: progressive metabolic disease was in 4 patients (36.4%); stable metabolic disease in one patient (9.1%); one patient had partial metabolic response (9.1%). The median follow-up time was 18.2 months. Out of the calculated image features, only pre-treatment tumor TLG (individual tumor volume multiplied by its mean SUV) correlated with tumor metabolic response in the early PET/CT follow-up. Also dividing the patient population based on the median tumor TLG showed a split of the Kaplan-Meier survival curves. Conclusions: The tumor TLG of pre-treatment PET/CT scans has important information on the failure risk to achieve CMR in recurrent HNSCC patients. It is necessary to obtain additional patients data to validate these results.
Email: kitlyboo@gmail.com
Nuclear Medicine & Radiation Therapy received 706 citations as per Google Scholar report
Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi 