High levels of fatty acid synthase have shown to correlate with the aggressiveness of prostate cancer. As [(11) C]acetate exhibits a close correlation with the level of fatty acid synthase, we aimed to assess whether the SUV in [(11) C]acetate PET serves as a suitable prognostic marker in patients with recurrent prostate cancer.In 123 consecutive patients, examined between 2010 and 2014, the maximum standardized uptake value (SUVmax) of local recurrences as well as lymph node and bone metastases was measured. Choosing the spleen as a standard for relatively high physiological uptake, a ratio of tumor to spleen uptake (SUVts) was calculated for standardizing the uptake, too. The corresponding initial Gleason scores (GS) and serum-PSA levels around the time of the performed PET/CT for each patient were retrospectively collected and PSA doubling together with PSA velocity were determined. For further analysis patients were divided with regard to their initial Gleason score (≤3 + 4 and ≥ 4 + 3). The median of PSA velocity was calculated to separate patients with a high and low PSA velocity and Mann-Whitney U or Student's t-test were used, testing for significant differences. For correlation Spearmen-Rho test was used.PET was positive for recurrence in 82/123 patients. PSA was significantly higher in PET-positive than in negative patients (5.9 vs. 3.2 ng/ml; P = 0.006). Initial Gleason score did not differ in PET negative and positive patients (P = 0.3), whereas PSA velocity was markedly higher in PET positive patients (0.4 vs. 0.1 ng/ml/month; P = 0.01). Median SUVmax of PET positive patients was 5.23 (mean 5.78; range 0.9-16.8) and meadian SUVts was 0.78 (mean 0.84, range 0.14-2.50). SUVts was significantly higher in patients with high PSA velocity (SUVts 0.76 vs. 0.92; P = 0.009), whereas SUVmax failed statistical significance (5.4 vs. 6.3 ng/ml/month; P = 0.08). Patients with a high SUVmax proved to have a significantly higher median Gleason score compared to low uptake 8.0 vs. 7.0; P = 0.004). Vice versa both SUVmax (GS 6: 5.0; GS 7: 5.6; GS 8: 5.7; GS 9: 6.5; r = 0.30, P = 0.008) and SUVts (GS 6: 0.63; GS 7: 0.68; GS 8: 0.85; GS 9: 0.89; r = 0.30, P = 0.006) significantly correlated with Gleason score. Patients with a Gleason score ≤ 3 + 4 had a significantly lower SUVmax (4.8 vs. 5.7; P = 0.02) and SUVts (0.67 vs. 0.85; P = 0.02) as compared to a Gleason score ≥ 4 + 3.[(11) C]acetate uptake demonstrated to correlate with initial Gleason score. Furthermore, patients with a high PSA velocity proved to have higher [(11) C]acetate uptake in tumor lesions.
the diagnostic performance of [64Cu]-DOTAGA-PSMA PET-CT imaging was compared retrospectively to [18F]-PSMA PET-CT in prostate cancer patients with recurrent disease and in the primary staging of selected patients with advanced local and possible metastatic disease.We retrospectively selected a total of 100 patients, who were consecutively examined in our department, with biochemical recurrence after radical prostatectomy or who had progressive local and possible metastatic disease in the last 3 months prior to this investigation. All patients were examined with a dedicated PET-CT scanner (Biograph; Siemens Healthineers). A total of 250 MBq (3.5 MBq per kg bodyweight, range 230-290 MBq) of [64Cu]-DOTAGA-PSMA or [18-F]-PSMA was applied intravenously. PET images were performed 1 h post-injection (skull base to mid-thigh). The maximum standardized uptake values (SUVmax) of PSMA-positive lesions and the mean standardized uptake value (SUVmean) of the right liver lobe were measured.All but 9/50 of the patients (18%; PSA range: 0.01-0.7 µg/L) studied with [64Cu]-DOTAGA-PSMA and 6/50 of the ones (12%; PSA range: 0.01-4.2) studied with [18F]-PSMA had at least one positive PSMA lesion shown by PET-CT. The total number of lesions was higher with [64Cu]-DOTAGA-PSMA (209 vs. 191); however, the median number of lesions was one for [64Cu]-DOTAGA-PSMA and two for [18F]-PSMA. Interestingly, the median SUVmean of the right liver lobe was slightly higher for [18F]-PSMA (11.8 vs. 8.9).[64Cu]-DOTAGA-PSMA and [18F]-PSMA have comparable detection rates for the assessment of residual disease in patients with recurrent or primary progressive prostate cancer. The uptake in the liver is moderately different, and therefore at least the SUVs of the lesions in both studies would not be comparable.
A1 68Ga-PSMA PET/CT in staging and restaging of Prostate Cancer Patients: comparative study with 18F-Choline PET/CT W Langsteger, A Rezaee, W Loidl, HS Geinitz, F Fitz, M Steinmair, G Broinger, L Pallwien-Prettner, M Beheshti A2 F18 Choline PET – CT: an accurate diagnostic tool for the detection of parathyroid adenoma? L Imamovic, M Beheshti, G Rendl, D Hackl, O Tsybrovsky, M Steinmair, K Emmanuel, F Moinfar, C Pirich, W Langsteger A3 [18F]Fluoro-DOPA-PET/CT in the primary diagnosis of medullary thyroid carcinoma A Bytyqi, G Karanikas, M Mayerhöfer, O Koperek, B Niederle, M Hartenbach A4 Variations of clinical PET/MR operations: An international survey on the clinical utilization of PET/MRI T Beyer, K Herrmann, J Czernin A5 Standard Dixon-based attenuation correction in combined PET/MRI: Reproducibility and the possibility of Lean body mass estimation I Rausch, P Rust, MD DiFranco, M Lassen, A Stadlbauer, ME Mayerhöfer, M Hartenbach, M Hacker, T Beyer A6 High resolution digital FDG PET/MRI imaging for assessment of ACL graft viability K Binzel, R Magnussen, W Wei, MU Knopp, DC Flanigan, C Kaeding, MV Knopp A7 Using pre-existing hematotoxicity as predictor for severe side effects and number of treatment cycles of Xofigo therapy A Leisser, M Nejabat, M Hartenbach, G Kramer, M Krainer, M Hacker, A Haug A8 QDOSE – comprehensive software solution for internal dose assessment Wencke Lehnert, Karl Schmidt, Sharok Kimiaei, Marcus Bronzel, Andreas Kluge A9 Clinical impact of Time-of-Flight on next-generation digital PET imaging of Yttrium-90 radioactivity following liver radioembolization CL Wright, K Binzel, J Zhang, Evan Wuthrick, Piotr Maniawski, MV Knopp A10 Snakes in patients! Lessons learned from programming active contours for automated organ segmentation M Blaickner, E Rados, A Huber, M Dulovits, H Kulkarni, S Wiessalla, C Schuchardt, RP Baum, B Knäusl, D Georg A11 Influence of a genetic polymorphism on brain uptake of the dual ABCB1/ABCG2 substrate [11C]tariquidar M Bauer, B Wulkersdorfer, W Wadsak, C Philippe, H Haslacher, M Zeitlinger, O Langer A12 Outcome prediction of temporal lobe epilepsy surgery from P-glycoprotein activity. Pooled analysis of (R)-[11C]-verapamil PET data from two European centres M Bauer, M Feldmann, R Karch, W Wadsak, M Zeitlinger, MJ Koepp, M-C Asselin, E Pataraia, O Langer A13 In-vitro and in-vivo characterization of [18F]FE@SNAP and derivatives for the visualization of the melanin concentrating hormone receptor 1 M Zeilinger, C Philippe, M Dumanic, F Pichler, J Pilz, M Hacker, W Wadsak, M Mitterhauser A14 Reducing time in quality control leads to higher specific radioactivity of short-lived radiotracers L Nics, B Steiner, M Hacker, M Mitterhauser, W Wadsak A15 In vitro 11C-erlotinib binding experiments in cancer cell lines with epidermal growth factor receptor mutations A Traxl, Thomas Wanek, Kushtrim Kryeziu, Severin Mairinger, Johann Stanek, Walter Berger, Claudia Kuntner, Oliver Langer A16 7-[11C]methyl-6-bromopurine, a PET tracer to measure brain Mrp1 function: radiosynthesis and first PET evaluation in mice S Mairinger, T Wanek, A Traxl, M Krohn, J Stanek, T Filip, M Sauberer, C Kuntner, J Pahnke, O Langer A17 18F labeled azidoglucose derivatives as “click” agents for pretargeted PET imaging D Svatunek, C Denk, M Wilkovitsch, T Wanek, T Filip, C Kuntner-Hannes, J Fröhlich, H Mikula A18 Bioorthogonal tools for PET imaging: development of radiolabeled 1,2,4,5-Tetrazines C Denk, D Svatunek, T Wanek, S Mairinger, J Stanek, T Filip, J Fröhlich, H Mikula, C Kuntner-Hannes A19 Preclinical evaluation of [18F]FE@SUPPY- a new PET-tracer for oncology T Balber, J Singer, J Fazekas, C Rami-Mark, N Berroterán-Infante, E Jensen-Jarolim, W Wadsak, M Hacker, H Viernstein, M Mitterhauser A20 Investigation of Small [18F]-Fluoroalkylazides for Rapid Radiolabeling and In Vivo Click Chemistry C Denk, D Svatunek, B Sohr, H Mikula, J Fröhlich, T Wanek, C Kuntner-Hannes, T Filip A21 Microfluidic 68Ga-radiolabeling of PSMA-HBED-CC using a flow-through reactor S Pfaff, C Philippe, M Mitterhauser, M Hartenbach, M Hacker, W Wadsak A22 Influence of 24-nor-ursodeoxycholic acid on hepatic disposition of [18F]ciprofloxacin measured with positron emission tomography T Wanek, E Halilbasic, M Visentin, S Mairinger, B Stieger, C Kuntner, M Trauner, O Langer A23 Automated 18F-flumazenil production using chemically resistant disposable cassettes P Lam, M Aistleitner, R Eichinger, C Artner A24 Similarities and differences in the synthesis and quality control of 177Lu-DOTA-TATE, 177Lu -HA-DOTA-TATE and 177Lu-DOTA-PSMA (PSMA-617) H Eidherr, C Vraka, A Haug, M Mitterhauser, L Nics, M Hartenbach, M Hacker, W Wadsak A25 68Ga- and 177Lu-labelling of PSMA-617 H Kvaternik, R Müller, D Hausberger, C Zink, RM Aigner A26 Radiolabelling of liposomes with 67Ga and biodistribution studies after administration by an aerosol inhalation system U Cossío, M Asensio, A Montes, S Akhtar, Y te Welscher, R van Nostrum, V Gómez-Vallejo, J Llop A27 Fully automated quantification of DaTscan SPECT: Integration of age and gender differences F VandeVyver, T Barclay, N Lippens, M Troch A28 Lesion-to-background ratio in co-registered 18F-FET PET/MR imaging – is it a valuable tool to differentiate between low grade and high grade brain tumor? L Hehenwarter, B Egger, J Holzmannhofer, M Rodrigues-Radischat, C Pirich A29 [11C]-methionine PET in gliomas - a retrospective data analysis of 166 patients N Pötsch, I Rausch, D Wilhelm, M Weber, J Furtner, G Karanikas, A Wöhrer, M Mitterhauser, M Hacker, T Traub-Weidinger A30 18F-Fluorocholine versus 18F-Fluorodeoxyglucose for PET/CT imaging in patients with relapsed or progressive multiple myeloma: a pilot study T Cassou-Mounat, S Balogova, V Nataf, M Calzada, V Huchet, K Kerrou, J-Y Devaux, M Mohty, L Garderet, J-N Talbot A31 Prognostic benefit of additional SPECT/CT in sentinel lymph node mapping of breast cancer patients S Stanzel, G Pregartner, T Schwarz, V Bjelic-Radisic, B Liegl-Atzwanger, R Aigner A32 Evaluation of diagnostic value of TOF-18F-FDG PET/CT in patients with suspected pancreatic cancer S Stanzel, F Quehenberger, RM Aigner A33 New quantification method for diagnosis of primary hyperpatahyroidism lesions and differential diagnosis vs thyropid nodular disease in dynamic scintigraphy A Koljević Marković, Milica Janković, V Miler Jerković, M Paskaš, G Pupić, R Džodić, D Popović A34 A rare case of diffuse pancreatic involvement in patient with merkel cell carcinoma detected by 18F-FDG MC Fornito, D Familiari A35 TSH-stimulated 18F-FDG PET/CT in the diagnosis of recurrent/metastatic radioiodine-negative differentiated thyroid carcinomas in patients with various thyroglobuline levels P Koranda, H Polzerová, I Metelková, L Henzlová, R Formánek, E Buriánková, M Kamínek A36 Breast Dose from lactation following I131 treatment WH Thomson, C Lewis A37 A new concept for performing SeHCAT studies with the gamma camera WH Thomson, J O’Brien, G James, A Notghi A38 Whole body F-18-FDG-PET and tuberculosis: sensitivity compared to x-ray-CT H Huber, I Stelzmüller, R Wunn, M Mandl, F Fellner, B Lamprecht, M Gabriel A39 Emerging role 18F-FDG PET-CT in the diagnosis and follow-up of the infection in heartware ventricular assist system (HVAD) MC Fornito, G Leonardi A40 Validation of Poisson resampling software WH Thomson, J O’Brien, G James A41 Protection of PET nuclear medicine personnel: problems in satisfying dose limit requirements J Hudzietzová, J Sabol, M Fülöp
To investigate [11C]acetate PET-surrogate parameter of fatty acid synthase activity-as suitable tool for diagnosis and monitoring of liver steatosis.In this retrospective study, data were obtained from 83 prostatic carcinoma patients from 1/2008 to 1/2014. Mean HU was calculated from unenhanced CT of all patients from liver with liver HU less than 40 as threshold for liver steatosis. SUVmax of the liver and of the blood pool in thoracic aorta (as background for calculation of a liver/background ratio [SUVl/b]) was measured. t test was used with a P < 0.05 considered as statistically significant difference and ROC analysis was used for calculating specificity and sensitivity.19/83 patients (20%) had diagnosis of hepatic steatosis according to CT. Uptake of [11C]acetate was significantly higher in patients with hepatic steatosis as compared to control group (SUVmax 7.96 ± 2.0 vs. 5.48 ± 2.3 [P < 0.001]). There was also a significant correlation between both SUVmax (r = - 0.52, P < 0.001) and SUVl/b (r = - 0.59, P < 0.001) with the density (HU) of the liver. In ROC analysis for detection of liver steatosis SUVmax (threshold: 5.86) had a sensitivity of 94% and specificity of 69% with an AUC of 0.81. Increasing body mass index is correlated with the severity of steatosis.We showed for the first time that hepatic steatosis associates with increased [11C]acetate uptake. Also, severity of steatosis correlates with [11C]acetate uptake. [11C]acetate uptake PET seems promising for the assessment of liver steatosis.
We evaluated the impact of pre-therapeutic hematopoiesis on survival, hematotoxicity (HT) and number of 223Radium (223Ra) treatments in patients with metastatic castration-resistant prostate cancer.Hemoglobin-levels (Hb), the number of platelets (Plts), leukocytes (Leuk), and survival data were collected in 56 patients treated with 223Ra. Pre-therapeutic hematopoiesis as well as adverse events during and after therapy were scored (grade 0-4) according to the CTCAE recommendations. The association of pre-therapeutic hematopoiesis, survival, HT and numbers of 223Ra cycles was analyzed.Median survival in all patients was 69.9 weeks; 77% of patients had pre-existing impaired Hb (1.7% grade 3, 12.5% grade 2, 62.5% grade 1). 8/56 (14.3%) had impaired Plt (grade 1) Maximum toxicity (Tox) grades of patients during treatment were grade 4 (Hb 1.7%; Plt 1.7%), grade 3 (Hb 14.3%; Plt 7.1%; Leu 7.1%), grade 2 (Hb 33.9%; Plt 7.1%; Leu 23.2%), grade 1 (Hb 46.4%; Plt 17.9%; Leu 23.2%) and grade 0 (Hb 5.4%; Plt 66.1%; Leu 44.6%). Interestingly, patients with thrombocytopenia had a significantly shorter survival compared to those with normal Plt levels (21 weeks vs not reached; P<0.003). As expected patients with pre-therapeutic low Hb-level (<10g/dL) had a significantly shorter survival compared to those with Hb-level >10g/dL (28 weeks vs not reached, P<0.004), whereas survival of patients with mildly impaired Hb (>10 but <13.5g/dL) did not differ from patients with normal levels of Hb (X vs. Y, P=...). Also patients with impaired Hb also developed significantly more grade 3 and 4 HT (Hb <10g/dL: 42.9 vs 14.3%, P<0.001; Plt <150G/mL: 25.0% vs 6.3%; P=0.002) and received significantly fewer treatment cycles (Hb<10g/dL: 5.1 vs 5.8, P<0.04; Plt <150G/mL: 3.4 vs 5.6; P<0.001). Neither extent of bone metastases nor previous chemotherapy were associated with survival, number of 223Ra cycles and HT.Patients with metastatic castration-resistant prostate cancer and impaired hematopoiesis, in particular thrombocytopenia and anemia, before 223Ra therapy suffer from significantly more high-grade HT, shorter survival and receive significantly fewer 223Ra treatments. Therefore, Hb-levels and platelet counts are essential parameters for adequate patient selection for 223Ra therapy.
Ziel/Aim We sought factors predict response to [177Lu]Lu-PSMA-617 radio-ligand therapy (PSMA-RLT) in a homogenous cohort of patients received 7400MBq every 4 week.
387 Aim: The aim of this study was to identify relevant features on 2-deoxy-2-(18F)fluoro-D-glucose PET/CT ([18F] FDG-PET/CT) to predict for recurrence (R) and overall survival (OS) in cervical cancer patients. Methods: 63 treatment naive cervical cancer patients, who had a positive [18F] FDG-PET/CT from 12/2008 to 12/2015 were included in this analysis. The primary tumours were delineated on the PET images using semi-automatic VOIs, followed by feature extraction. Each tumour was characterized by 118 features including in vivo intensity, histogram, shape, textural and joint fusion features. Identification of highly-correlating features was performed by the utilization of ensemble machine learning approaches in a multi-fold training scheme. Overall 150 Monte Carlo (MC) folds were established. In each MC fold 80% of the original data was randomly selected. In each MC fold 8 machine learning (ML) exploratory analysis was performed as presented in Papp et al. The individual datasets for these ML executions was selected from the given MC subset by bootsrapping. The final feature weights were determined by averaging the 1200 (150x8) weights determined by ML.
Results: In the studied cohort 22 patients had a recurrence, 12 died. Mean time to treatment failure (TTF) was 14.3 months (range: 0-73 mo) and mean OS was 40.6 mo (range: 0-100 mo). The three highest weighted parameters were the CT-based textural features Low gray level zone emphasis (GLZSM; 0.083) and Small zone low gray emphasis (GLZSM; 0.080) as well as the joint fusion features Sum entropy (0.057) when predicting recurrence. For survival prediction the three highest weighted parameters were CT-based textural features maximum probability and Sum entropy of Gray-level co-occurrence matrix (GLCM-MP: 0.179; GLCM-SE: 0.10), as well as the PET-based minimum intensity feature (0,057). Conclusions: These preliminary results of our exploratory analysis demonstrate that textural and joint fusion features obtained by supervised ML are a valuable option for predicting recurrence and overall survival in cervical cancer. However further analysis with a bigger patient population is needed and still ongoing.