@article{ZhouDierksKertelsetal.2020, author = {Zhou, Xiang and Dierks, Alexander and Kertels, Olivia and Kircher, Malte and Schirbel, Andreas and Samnick, Samuel and Buck, Andreas K. and Knorz, Sebastian and B{\"o}ckle, David and Scheller, Lukas and Messerschmidt, Janin and Barakat, Mohammad and Kort{\"u}m, K. Martin and Rasche, Leo and Einsele, Hermann and Lapa, Constantin}, title = {18F-FDG, 11C-Methionine, and 68Ga-Pentixafor PET/CT in patients with smoldering multiple myeloma: imaging pattern and clinical features}, series = {Cancers}, volume = {12}, journal = {Cancers}, number = {8}, issn = {2072-6694}, doi = {10.3390/cancers12082333}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-211240}, year = {2020}, abstract = {This study aimed to explore the correlation between imaging patterns and clinical features in patients with smoldering multiple myeloma (SMM) who simultaneously underwent 18F-FDG, 11C-Methionine, and 68Ga-Pentixafor positron emission tomography/computed tomography (PET/CT). We retrieved and analyzed clinical characteristics and PET imaging data of 10 patients with SMM. We found a significant correlation between bone marrow (BM) plasma cell (PC) infiltration and mean standardized uptake values (SUV\(_{mean}\)) of lumbar vertebrae L2-L4 on 11C-Methionine PET/CT scans (r = 0.676, p = 0.031) and 68Ga-Pentixafor PET/CT scans (r = 0.839, p = 0.002). However, there was no significant correlation between BM involvement and SUV\(_{mean}\) of lumbar vertebrae L2-L4 on 18F-FDG PET/CT scans (r = 0.558, p = 0.093). Similarly, mean target-to-background ratios (TBR\(_{mean}\)) of lumbar vertebrae L2-L4 also correlated with bone marrow plasma cell (BMPC) infiltration in 11C-Methionine PET/CT (r = 0.789, p = 0.007) and 68Ga-Pentixafor PET/CT (r = 0.724, p = 0.018) PET/CT. In contrast, we did not observe a significant correlation between BMPC infiltration rate and TBR\(_{mean}\) in 18F-FDG PET/CT (r = 0.355, p = 0.313). Additionally, on 11C-Methionine PET/CT scans, we found a significant correlation between BMPC infiltration and TBR\(_{max}\) of lumbar vertebrae L2-L4 (r = 0.642, p = 0.045). In conclusion, 11C-Methionine and 68Ga-Pentixafor PET/CT demonstrate higher sensitivity than 18F-FDG PET/CT in detecting BM involvement in SMM.}, language = {en} } @article{BuderLapaKreissletal.2014, author = {Buder, Kristina and Lapa, Constantin and Kreissl, Michael C. and Schirbel, Andreas and Herrmann, Ken and Schnack, Alexander and Br{\"o}cker, Eva-Bettina and Goebeler, Matthias and Buck, Andreas K. and Becker, J{\"u}rgen C.}, title = {"Somatostatin receptor expression in Merkel cell carcinoma as target for molecular imaging"}, doi = {10.1186/1471-2407-14-268}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-110326}, year = {2014}, abstract = {Background Merkel cell carcinoma (MCC) is a rare cutaneous neoplasm with increasing incidence, aggressive behavior and poor prognosis. Somatostatin receptors (SSTR) are expressed in MCC and represent a potential target for both imaging and treatment. Methods To non-invasively assess SSTR expression in MCC using PET and the radiotracers [68Ga]DOTA-D-Phe1-Tyr3-octreotide (DOTATOC) or -octreotate (DOTATATE) as surrogate for tumor burden. In 24 patients with histologically proven MCC SSTR-PET was performed and compared to results of computed tomography (CT). Results SSTR-PET detected primary and metastatic MCC lesions. On a patient-based analysis, sensitivity of SSTR-PET was 73\% for nodal metastases, 100\% for bone, and 67\% for soft-tissue metastases, respectively. Notably, brain metastases were initially detected by SSTR-PET in 2 patients, whereas liver and lung metastases were diagnosed exclusively by CT. SSTR-PET showed concordance to CT results in 20 out of 24 patients. Four patients (17\%) were up-staged due to SSTR-PET and patient management was changed in 3 patients (13\%). Conclusion SSTR-PET showed high sensitivity for imaging bone, soft tissue and brain metastases, and particularly in combination with CT had a significant impact on clinical stage and patient management.}, language = {en} }