Robot-Assisted Magnetic Resonance Imaging-Targeted versus Systematic Prostate Biopsy; Systematic Review and Meta-Analysis

Author:

Petov Vladislav1,Azilgareeva Camilla1,Shpikina Anastasia1,Morozov Andrey1,Krupinov German1,Kozlov Vasiliy2,Singla Nirmish3,Gómez Rivas Juan45ORCID,Jesús Moreno-Sierra4ORCID,Puliatti Stefano56ORCID,Checcucci Enrico57,Rodler Severin58ORCID,Belenchon Ines Rivero59,Kowalewski Karl-Friedrich510,Veccia Alessandro511,Mcfarland Jonathan1213,Cacciamani Giovanni E.51415ORCID,Taratkin Mark15ORCID,Enikeev Dmitry116

Affiliation:

1. Institute for Urology and Reproductive Health, Sechenov University, 119991 Moscow, Russia

2. Department of Public Health and Healthcare, Sechenov University, 119991 Moscow, Russia

3. Departments of Urology and Oncology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA

4. Department of Urology, Clinico San Carlos University Hospital, 28040 Madrid, Spain

5. Young Academic Urologists (YAU) Working Group in Urotechnology of the European Association of Urology, 30016 Arnhem, The Netherlands

6. Urology Department, University of Modena and Reggio Emilia, 42121 Modena, Italy

7. Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, 10060 Turin, Italy

8. Department of Urology, Klinikum der Universität München, 81377 Munich, Germany

9. Department of Uro-Nephrology, Virgen del Rocío University Hospital, 41013 Seville, Spain

10. Department of Urology, University Medical Center Mannheim, Heidelberg University, 69047 Heidelberg, Germany

11. Urology Unit, Azienda Ospedaliera Universitaria Integrata, 37126 Verona, Italy

12. Institute of Linguistics and Intercultural Communication, Sechenov University, 123242 Moscow, Russia

13. Faculty of Medicine, Universidad Autónoma Madrid, 28029 Madrid, Spain

14. Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA

15. Artificial Intelligence Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA 90033, USA

16. Department of Urology, Medical University of Vienna, 1090 Vienna, Austria

Abstract

Introduction: Robot-assisted devices have been recently developed for use in prostate biopsy. However, it is possible advantages over standard biopsy remain unclear. We aimed to assess the diagnostic performance and safety of robot-assisted targeted (RA-TB) and systematic prostate biopsies (RA-SB). Methods: A systematic literature search was performed in MEDLINE and Scopus databases. The detailed search strategy is available at Prospero (CRD42021269290). The primary outcome was the clinically significant prostate cancer (PCa) detection rate. The secondary outcomes included the overall detection rate of PCa, cancer detection rate per core, and complications. Results: The clinically significant cancer detection rate, overall cancer detection rate, and “per patient” did not significantly differ between RA-TB and RA-SB [OR = 1.02 (95% CI 0.83; 1.26), p = 0.05, I2 = 62% and OR = 0.95 (95% CI 0.78; 1.17), p = 0.17, I2 = 40%, respectively]. There were no differences in the clinically insignificant cancer detection rate “per patient” between RA-TB and RA-SB [OR = 0.81 (95% CI 0.54; 1.21), p = 0.31, I2 = 0%]. RA-TB had a significantly higher cancer detection rate “per core” [OR = 3.01 (95% CI 2.77; 3.27), p < 0.0001, I2 = 96%]. Conclusion: RA-TB and RA-SB are both technically feasible and have comparable clinical significance and overall PCa detection rates.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference54 articles.

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