Next Article in Journal
The Role of Surgery for Stage 0 Adenocarcinoma In Situ of the Lung: A National Analysis
Previous Article in Journal
Effects of Physical Training on Heart Rate Variability in Patients with Metabolic Syndrome: A Systematic Review and Meta-Analysis
Previous Article in Special Issue
Robot-Assisted Radical Cystectomy with Ureterocutaneostomy: A Potentially Optimal Solution for Octogenarian and Frail Patients with Bladder Cancer
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Hybrid Surgical Guidance in Urologic Robotic Oncological Surgery

by
Gijs H. KleinJan
1,*,
Erik J. van Gennep
1,
Arnoud W. Postema
1,
Fijs W. B. van Leeuwen
2 and
Tessa Buckle
2
1
Department of Urology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
2
Interventional Molecular Imaging Laboratory, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2025, 14(17), 6128; https://doi.org/10.3390/jcm14176128
Submission received: 11 July 2025 / Revised: 22 August 2025 / Accepted: 23 August 2025 / Published: 29 August 2025
(This article belongs to the Special Issue The Current State of Robotic Surgery in Urology)

Abstract

Urologic oncological surgery increasingly makes use of robotic systems to realize precise and minimally invasive resections, convent to shorter hospital stays and faster recovery times. The dexterity gains enabled through procedures such as robot-assisted (RA) prostatectomy have helped realize significant advancements in recent years. Complementing these effects via the used of hybrid tracers that illuminate surgical targets, i.e., cancerous tissue, has helped advance the surgical decision making via enhanced visualization. A well-known example is Indocyanine green (ICG)-Technetium-99m (99mTc)-nanocolloid, a hybrid extension of the radiopharmaceutical 99mTc-nanocolloid. These hybrid tracers provide a direct link between preoperative imaging roadmaps and intraoperative target identification, and improve efficiency, accuracy, and confidence of the urologist in procedures such as sentinel lymph node biopsy (SLNB). Receptor-targeted hybrid tracer analogues, for e.g., prostate specific membrane antigen (PSMA), are also being explored as an extension of the ongoing efforts that use radiotracers such as 99mTc-PSMA-I&S. Together, these efforts jointly pave the way for novel techniques in intraoperative lesion localization in other urological malignancies. This narrative review discusses the potential use of hybrid tracers in robotic oncological urology, including different imaging techniques and their applications for tumor localization for prostate, bladder, and kidney cancer.
Keywords: hybrid tracers; robot assisted surgery; urology; prostate cancer; kidney cancer; bladder cancer; image guided surgery hybrid tracers; robot assisted surgery; urology; prostate cancer; kidney cancer; bladder cancer; image guided surgery

Share and Cite

MDPI and ACS Style

KleinJan, G.H.; van Gennep, E.J.; Postema, A.W.; van Leeuwen, F.W.B.; Buckle, T. Hybrid Surgical Guidance in Urologic Robotic Oncological Surgery. J. Clin. Med. 2025, 14, 6128. https://doi.org/10.3390/jcm14176128

AMA Style

KleinJan GH, van Gennep EJ, Postema AW, van Leeuwen FWB, Buckle T. Hybrid Surgical Guidance in Urologic Robotic Oncological Surgery. Journal of Clinical Medicine. 2025; 14(17):6128. https://doi.org/10.3390/jcm14176128

Chicago/Turabian Style

KleinJan, Gijs H., Erik J. van Gennep, Arnoud W. Postema, Fijs W. B. van Leeuwen, and Tessa Buckle. 2025. "Hybrid Surgical Guidance in Urologic Robotic Oncological Surgery" Journal of Clinical Medicine 14, no. 17: 6128. https://doi.org/10.3390/jcm14176128

APA Style

KleinJan, G. H., van Gennep, E. J., Postema, A. W., van Leeuwen, F. W. B., & Buckle, T. (2025). Hybrid Surgical Guidance in Urologic Robotic Oncological Surgery. Journal of Clinical Medicine, 14(17), 6128. https://doi.org/10.3390/jcm14176128

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop