Please use this identifier to cite or link to this item: doi:10.22028/D291-37176
Title: Primary Staging of Prostate Cancer Patients with [18F]PSMA-1007 PET/CT Compared with [68Ga]Ga-PSMA-11 PET/CT
Author(s): Hoffmann, Manuela A.
Müller-Hübenthal, Jonas
Rosar, Florian
Fischer, Nicolas
von Eyben, Finn Edler
Buchholz, Hans-Georg
Wieler, Helmut J.
Schreckenberger, Mathias
Language: English
Title: Journal of Clinical Medicine
Volume: 11
Issue: 17
Publisher/Platform: MDPI
Year of Publication: 2022
Free key words: PSMA hybrid imaging
staging of primary prostate cancer
[18F]PSMA-1007
[68Ga]GaPSMA-11
SUVmax cut-off level
prostate carcinoma
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Background: Hybrid imaging with prostate-specific membrane antigen (PSMA) is gaining importance as an increasingly meaningful tool for prostate cancer (PC) diagnostics and as a guide for therapy decisions. This study aims to investigate and compare the performance of [18F]PSMA1007 (18F-PSMA) and [68Ga]Ga-PSMA-11 positron emission tomography/computed tomography ( 68Ga-PSMA) in the initial staging of PC patients. Methods: The data of 88 biopsy-proven patients were retrospectively evaluated. PSMA-avid lesions were compared with the histopathologic Gleason Score (GS) for prostate biopsies, and the results were plotted by receiver operating characteristic (ROC)-curve. Optimal maximum standardized uptake value (SUVmax) cut-off values were rated using the Youden index. Results: 18F-PSMA was able to distinguish GS ≤ 7a from ≥7b with a sensitivity of 62%, specificity of 85%, positive predictive value (PPV) of 92%, and accuracy of 67% for a SUVmax of 8.95, whereas sensitivity was 54%, specificity 91%, PPV 93%, and accuracy 66% for 68Ga-PSMA (SUVmax 8.7). Conclusions: Both methods demonstrated a high concordance of detected PSMA-avid lesions with histopathologically proven PC. 18F-PSMA and 68Ga-PSMA are both suitable for the characterization of primary PC with a comparable correlation of PSMA-avid lesions with GS. Neither method showed a superior advantage. Our calculated SUVmax thresholds may represent valuable parameters in clinical use to distinguish clinically significant PC (csPC) from non-csPC.
DOI of the first publication: 10.3390/jcm11175064
Link to this record: urn:nbn:de:bsz:291--ds-371763
hdl:20.500.11880/33731
http://dx.doi.org/10.22028/D291-37176
ISSN: 2077-0383
Date of registration: 12-Sep-2022
Faculty: M - Medizinische Fakultät
Department: M - Radiologie
Professorship: M - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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