Catarina Malmberg1, Rasmus S Ripa2, Camilla B Johnbeck1, Ulrich Knigge3, Seppo W Langer4, Jann Mortensen1, Peter Oturai1, Annika Loft1, Anne Mette Hag1, Andreas Kjær1. 1. Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet & Cluster for Molecular Imaging, University of Copenhagen, Copenhagen, Denmark. 2. Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet & Cluster for Molecular Imaging, University of Copenhagen, Copenhagen, Denmark ripa@sund.ku.dk. 3. Department of Surgical Gastroenterology C & Department of Endocrinology, Rigshospitalet, Copenhagen, Denmark; and. 4. Department of Oncology, Rigshospitalet, Copenhagen, Denmark.
Abstract
UNLABELLED: The somatostatin receptor subtype 2 is expressed on macrophages, an abundant cell type in the atherosclerotic plaque. Visualization of somatostatin receptor subtype 2, for oncologic purposes, is frequently made using the DOTA-derived somatostatin analogs DOTATOC or DOTATATE for PET. We aimed to compare the uptake of the PET tracers (68)Ga-DOTATOC and (64)Cu-DOTATATE in large arteries, in the assessment of atherosclerosis by noninvasive imaging technique, combining PET and CT. Further, the correlation of uptake and cardiovascular risk factors was investigated. METHODS: Sixty consecutive patients with neuroendocrine tumors underwent both (68)Ga-DOTATOC and (64)Cu-DOTATATE PET/CT scans, in random order. For each scan, the maximum and mean standardized uptake values (SUVs) were calculated in 5 arterial segments. In addition, the blood-pool-corrected target-to-background ratio was calculated. Uptake of the tracers was correlated with cardiovascular risk factors collected from medical records. RESULTS: We found detectable uptake of both tracers in all arterial segments studied. Uptake of (64)Cu-DOTATATE was significantly higher than (68)Ga-DOTATOC in the vascular regions both when calculated as maximum and mean uptake. There was a significant association between Framingham risk score and the overall maximum uptake of (64)Cu-DOTATATE using SUV (r = 0.4; P = 0.004) as well as target-to-background ratio (r = 0.3; P = 0.04), whereas no association was found with (68)Ga-DOTATOC. The association of risk factors and maximum SUV of (64)Cu-DOTATATE was found driven by body mass index, smoking, diabetes, and coronary calcium score (P < 0.001, P = 0.01, P = 0.005, and P = 0.03, respectively). CONCLUSION: In a series of oncologic patients, vascular uptake of (68)Ga-DOTATOC and (64)Cu-DOTATATE was found, with highest uptake of the latter. Uptake of (64)Cu-DOTATATE, but not of (68)Ga-DOTATOC, was correlated with cardiovascular risk factors, suggesting a potential role for (64)Cu-DOTATATE in the assessment of atherosclerosis.
UNLABELLED: The somatostatin receptor subtype 2 is expressed on macrophages, an abundant cell type in the atherosclerotic plaque. Visualization of somatostatin receptor subtype 2, for oncologic purposes, is frequently made using the DOTA-derived somatostatin analogs DOTATOC or DOTATATE for PET. We aimed to compare the uptake of the PET tracers (68)Ga-DOTATOC and (64)Cu-DOTATATE in large arteries, in the assessment of atherosclerosis by noninvasive imaging technique, combining PET and CT. Further, the correlation of uptake and cardiovascular risk factors was investigated. METHODS: Sixty consecutive patients with neuroendocrine tumors underwent both (68)Ga-DOTATOC and (64)Cu-DOTATATE PET/CT scans, in random order. For each scan, the maximum and mean standardized uptake values (SUVs) were calculated in 5 arterial segments. In addition, the blood-pool-corrected target-to-background ratio was calculated. Uptake of the tracers was correlated with cardiovascular risk factors collected from medical records. RESULTS: We found detectable uptake of both tracers in all arterial segments studied. Uptake of (64)Cu-DOTATATE was significantly higher than (68)Ga-DOTATOC in the vascular regions both when calculated as maximum and mean uptake. There was a significant association between Framingham risk score and the overall maximum uptake of (64)Cu-DOTATATE using SUV (r = 0.4; P = 0.004) as well as target-to-background ratio (r = 0.3; P = 0.04), whereas no association was found with (68)Ga-DOTATOC. The association of risk factors and maximum SUV of (64)Cu-DOTATATE was found driven by body mass index, smoking, diabetes, and coronary calcium score (P < 0.001, P = 0.01, P = 0.005, and P = 0.03, respectively). CONCLUSION: In a series of oncologic patients, vascular uptake of (68)Ga-DOTATOC and (64)Cu-DOTATATE was found, with highest uptake of the latter. Uptake of (64)Cu-DOTATATE, but not of (68)Ga-DOTATOC, was correlated with cardiovascular risk factors, suggesting a potential role for (64)Cu-DOTATATE in the assessment of atherosclerosis.
Authors: Jacob K Jensen; Johanne S Madsen; Malte E K Jensen; Andreas Kjaer; Rasmus S Ripa Journal: J Nucl Cardiol Date: 2022-08-31 Impact factor: 3.872
Authors: Jacob K Jensen; Tina Binderup; Constance E Grandjean; Simon Bentsen; Rasmus S Ripa; Andreas Kjaer Journal: Atherosclerosis Date: 2022-04-04 Impact factor: 6.847