• Nuklearmedizin · Jun 2016

    Dynamic 68Ga-DOTATOC PET/CT and static image in NET patients. Correlation of parameters during PRRT.

    • Sofie Van Binnebeek, Michel Koole, Christelle Terwinghe, Kristof Baete, Bert Vanbilloen, Karine Haustermans, Paul M Clement, Kris Bogaerts, Alfons Verbruggen, Kris Nackaerts, Eric Van Cutsem, Chris Verslype, Felix M Mottaghy, and Christophe M Deroose.
    • Christophe Deroose, MD, PhD, Nuclear Medicine, University Hospitals Leuven and Department of Imaging & Pathology, KU Leuven, christophe.deroose@uzleuven.be, Tel. +32/(0)16/34 37 15; Fax +32/(0)16/34 37 59.
    • Nuklearmedizin. 2016 Jun 28; 55 (3): 104-14.

    PurposeTo investigate the relationship between the dynamic parameters (Ki) and static image-derived parameters of 68Ga-DOTATOC-PET, to determine which static parameter best reflects underlying somatostatin-receptor-expression (SSR) levels on neuroendocrine tumours (NETs).Patients, Methods20 patients with metastasized NETs underwent a dynamic and static 68Ga-DOTATOC-PET before PRRT and at 7 and 40 weeks after the first administration of 90Y-DOTATOC (in total 4 cycles were planned); 175 lesions were defined and analyzed on the dynamic as well as static scans. Quantitative analysis was performed using the software PMOD. One to five target lesions per patient were chosen and delineated manually on the baseline dynamic scan and further, on the corresponding static 68Ga-DOTATOC-PET and the dynamic and static 68Ga-DOTATOC-PET at the other time-points; SUVmax and SUVmean of the lesions was assessed on the other six scans. The input function was retrieved from the abdominal aorta on the images. Further on, Ki was calculated using the Patlak-Plot. At last, 5 reference regions for normalization of SUVtumour were delineated on the static scans resulting in 5 ratios (SUVratio).ResultsSUVmax and SUVmean of the tumoural lesions on the dynamic 68Ga-DOTATOC-PET had a very strong correlation with the corresponding parameters in the static scan (R²: 0.94 and 0.95 respectively). SUVmax, SUVmean and Ki of the lesions showed a good linear correlation; the SUVratios correlated poorly with Ki. A significantly better correlation was noticed between Ki and SUVtumour(max and mean) (p < 0.0001).ConclusionsAs the dynamic parameter Ki correlates best with the absolute SUVtumour, SUVtumour best reflects underlying SSR-levels in NETs.

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