@article{saule_recurrent_2022, title = {Recurrent {Prostate} {Cancer} {Diagnostics} with {18F}-{PSMA}-1007 {PET}/{CT}: {A} {Systematic} {Review} of the {Current} {State}}, volume = {12}, issn = {2075-4418}, shorttitle = {Recurrent {Prostate} {Cancer} {Diagnostics} with {18F}-{PSMA}-1007 {PET}/{CT}}, url = {https://www.mdpi.com/2075-4418/12/12/3176}, doi = {10.3390/diagnostics12123176}, abstract = {Background: Early diagnosis of recurrent prostate cancer is a cornerstone for further adequate therapy planning. Therefore, clinical practice and research still focuses on diagnostic tools that can detect prostate cancer in early recurrence when it is undetectable in conventional diagnostic imaging. 18F-PSMA-1007 PET/CT is a novel method to evaluate patients with biochemical recurrent PCa. The aim of this review was to evaluate the role of 18F-PSMA-1007 PET/CT in prostate cancer local recurrence, lymph node metastases and bone metastases detection. Methods: Original studies, reviews and five meta-analyses were included in this article. A total of 70 studies were retrieved, 31 were included in the study. Results: All patients described in the studies underwent 18F-PSMA-1007 PET/CT. The administered 18F-PSMA-1007 individual dose ranged from 159 ± 31 MBq to 363.93 ± 69.40 MBq. Results showed that 18F-PSMA-1007 PET/CT demonstrates a good detection rate in recurrent prostate cancer. Conclusions: 18F-PSMA-1007 PET/CT appears to achieve reliable performance in detecting recurrent prostate cancer. The high detection rate of 18F-PSMA-1007 PET/CT in recurrent prostate cancer was confirmed, especially in local recurrence and small lymph nodes with non-specific characteristics on conventional diagnostic imaging methods. However, several authors emphasize some limitations for this tracer—for example, non-specific uptake in bone lesions that can mimic bone metastases.}, language = {en}, number = {12}, urldate = {2023-01-04}, journal = {Diagnostics}, author = {Saule, Laura and Radzina, Maija and Liepa, Mara and Roznere, Lilita and Lioznovs, Andrejs and Ratniece, Madara and Mamis, Edgars and Vjaters, Egils}, month = dec, year = {2022}, keywords = {scientific-publication}, pages = {3176}, }