New imaging technologies for robotic kidney cancer surgery

Stefano Puliatti^{1

2}, Ahmed Eissa³, Enrico Checcucci⁴, Pietro Piazza⁵, Marco Amato¹, Stefania Ferretti¹, Simone Scarcella⁶, Juan Gomez Rivas^{7

8}, Mark Taratkin^{7

9}, Josè Marenco^{7

10}, Ines Belenchon Rivero¹¹, Karl-Friedrich Kowalewski¹², Giovanni Cacciamani¹³, Ahmed El-Sherbiny³, Ahmed Zoeir³, Abdelhamid M El-Bahnasy³, Ruben De Groote^{2

14}, Alexandre Mottrie^{2

14}, Salvatore Micali¹

Affiliations

¹ Urology Department, University of Modena & Reggio Emilia, Modena, Italy.
² ORSI Academy, Melle, Belgium.
³ Urology Department, Faculty of Medicine, Tanta University, Tanta, Egypt.
⁴ Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.
⁵ Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
⁶ Department of Urology, Polytechnic University of Marche Region, Umberto I Hospital "Ospedali Riuniti", Ancona, Italy.
⁷ Uro-technology and SoMe Working Group of the Young Academic Urologists Working Party, European Association of Urology, Arnhem, the Netherlands.
⁸ Department of Urology, Hospital Clinico San Carlos, Madrid, Spain.
⁹ Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia.
¹⁰ Department of Urology, Fundación Instituto Valenciano de Oncología, Valencia, Spain.
¹¹ Urology and Nephrology Department, Virgen del Rocío University Hospital, Manuel Siurot Sin Numero, Seville, Spain.
¹² Department of Urology and Urological Surgery, University Medical Centre Mannheim, Mannheim, Germany.
¹³ USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
¹⁴ Department of Urology, Onze-Lieve-Vrouwziekenhuis, Aalst, Belgium.

PMID: 36035346
PMCID: PMC9399539
DOI: 10.1016/j.ajur.2022.03.008

Review

New imaging technologies for robotic kidney cancer surgery

Stefano Puliatti et al. Asian J Urol. 2022 Jul.

. 2022 Jul;9(3):253-262.

doi: 10.1016/j.ajur.2022.03.008. Epub 2022 Jun 1.

Authors

Affiliations

¹ Urology Department, University of Modena & Reggio Emilia, Modena, Italy.
² ORSI Academy, Melle, Belgium.
³ Urology Department, Faculty of Medicine, Tanta University, Tanta, Egypt.
⁴ Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.
⁵ Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
⁶ Department of Urology, Polytechnic University of Marche Region, Umberto I Hospital "Ospedali Riuniti", Ancona, Italy.
⁷ Uro-technology and SoMe Working Group of the Young Academic Urologists Working Party, European Association of Urology, Arnhem, the Netherlands.
⁸ Department of Urology, Hospital Clinico San Carlos, Madrid, Spain.
⁹ Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia.
¹⁰ Department of Urology, Fundación Instituto Valenciano de Oncología, Valencia, Spain.
¹¹ Urology and Nephrology Department, Virgen del Rocío University Hospital, Manuel Siurot Sin Numero, Seville, Spain.
¹² Department of Urology and Urological Surgery, University Medical Centre Mannheim, Mannheim, Germany.
¹³ USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
¹⁴ Department of Urology, Onze-Lieve-Vrouwziekenhuis, Aalst, Belgium.

PMID: 36035346
PMCID: PMC9399539
DOI: 10.1016/j.ajur.2022.03.008

Abstract

Objective: Kidney cancers account for approximately 2% of all newly diagnosed cancer in 2020. Among the primary treatment options for kidney cancer, urologist may choose between radical or partial nephrectomy, or ablative therapies. Nowadays, robotic-assisted partial nephrectomy (RAPN) for the management of renal cancers has gained popularity, up to being considered the gold standard. However, RAPN is a challenging procedure with a steep learning curve.

Methods: In this narrative review, different imaging technologies used to guide and aid RAPN are discussed.

Results: Three-dimensional visualization technology has been extensively discussed in RAPN, showing its value in enhancing robotic-surgery training, patient counseling, surgical planning, and intraoperative guidance. Intraoperative imaging technologies such as intracorporeal ultrasound, near-infrared fluorescent imaging, and intraoperative pathological examination can also be used to improve the outcomes following RAPN. Finally, artificial intelligence may play a role in the field of RAPN soon.

Conclusion: RAPN is a complex surgery; however, many imaging technologies may play an important role in facilitating it.

Keywords: Imaging; Kidney cancer; Robotic; Technology.

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Conflict of interest statement

The authors declare no conflict of interest.

References

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New imaging technologies for robotic kidney cancer surgery

Affiliations

New imaging technologies for robotic kidney cancer surgery

Authors

Affiliations

Abstract

Conflict of interest statement

References

Publication types

LinkOut - more resources

Full Text Sources