RESUMEN
PURPOSE: The aim of the present study is to investigate the impact of the near-infrared (NIRF) technology with indocyanine green (ICG) in robotic urologic surgery by performing a systematic literature review and to provide evidence-based expert recommendations on best practices in this field. METHODS: All English language publications on NIRF/ICG-guided robotic urologic procedures were evaluated. We followed the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) statement to evaluate PubMed®, Scopus® and Web of Science™ databases (up to April 2019). Experts in the field provided detailed pictures and intraoperative video-clips of different NIRF/ICG-guided robotic surgeries with recommendations for each procedure. A unique QRcode was generated and linked to each underlying video-clip. This new exclusive feature makes the present the first "dynamic paper" that merges text and figure description with their own video providing readers an innovative, immersive, high-quality and user-friendly experience. RESULTS: Our electronic search identified a total of 576 papers. Of these, 36 studies included in the present systematic review reporting the use of NIRF/ICG in robotic partial nephrectomy (n = 13), robotic radical prostatectomy and lymphadenectomy (n = 7), robotic ureteral re-implantation and reconstruction (n = 5), robotic adrenalectomy (n = 4), robotic radical cystectomy (n = 3), penectomy and robotic inguinal lymphadenectomy (n = 2), robotic simple prostatectomy (n = 1), robotic kidney transplantation (n = 1) and robotic sacrocolpopexy (n = 1). CONCLUSION: NIRF/ICG technology has now emerged as a safe, feasible and useful tool that may facilitate urologic robotic surgery. It has been shown to improve the identification of key anatomical landmarks and pathological structures for oncological and non-oncological procedures. Level of evidence is predominantly low. Larger series with longer follow-up are needed, especially in assessing the quality of the nodal dissection and the feasibility of the identification of sentinel nodes and the impact of these novel technologies on long-term oncological and functional outcomes.
Asunto(s)
Colorantes , Verde de Indocianina , Imagen Óptica , Procedimientos Quirúrgicos Robotizados/métodos , Cirugía Asistida por Computador/métodos , Procedimientos Quirúrgicos Urológicos/métodos , Consenso , Humanos , Imagen Óptica/normas , Guías de Práctica Clínica como Asunto , Procedimientos Quirúrgicos Robotizados/normas , Cirugía Asistida por Computador/normas , Procedimientos Quirúrgicos Urológicos/normasRESUMEN
INTRODUCTION: The strategic therapy for prostate cancer depends on histo-pronostics data, which could be upgraded by obtaining targeted biopsies (TB) with MRI (magnetic resonance imagery) fusion 3D ultrasound. OBJECTIVES: To compare diagnostic yield of image fusion guided prostate biopsy using image fusion of multi-parametric MRI (mpMRI) with 3D-TRUS. MATERIALS AND METHODS: Between January 2010 and April 2013, 179 consecutive patients underwent outpatient TRUS biopsy using the real-time 3D TRUS tracking system (Urostation™). These patients underwent MRI-TRUS fusion targeted biopsies (TB) with 3D volume data of the MRI elastically fused with 3D TRUS at the time of biopsy. RESULTS: A hundred and seventy-three patients had TBs with fusion. Mean biopsy core per patient were 11.1 (6-14) for SB and 2.4 (1-6) for TB. SBs were positive in 11% compared to 56% for TB (P<0.001). TB outperformed systematic biopsy(SB) in overall any cancer detection rate, detection of clinically significant cancer (58% vs. 36%), cancer core length (6.8mm vs. 2.8mm), and cancer rate per core (P<0.001). In multivariable logistic regression, with TB we have more chance to find a clinically significant cancer (OR:3.72 [2-6.95]). When both TRUS and MRI are positive, there is 2.73 more chance to find a clinically significant cancer. CONCLUSION: MR/TRUS elastic fusion-guided biopsies outperform systematic random biopsies in diagnosing clinically significant cancer. Ability of interpretation of real-time TRUS is essential to perform the higher level of MR/US fusion and should be use for active surveillance. LEVEL OF PROOF: 4.