The Role of Intraoperative Indocyanine Green in Robot-assisted Partial Nephrectomy: Results from a Large, Multi-institutional Series

被引:35
|
作者
Diana, Pietro [1 ,2 ]
Buffi, Nicolo Maria [1 ,2 ]
Lughezzani, Giovanni [1 ,2 ]
Dell'Oglio, Paolo [3 ]
Mazzone, Elio [3 ,4 ,5 ]
Porter, James [6 ]
Mottrie, Alex [3 ,7 ]
机构
[1] IRCCS Humanitas Clin & Res Inst, Dept Urol, Rozzano, Italy
[2] Humanitas Univ, Dept Biomed Sci, Pieve Emanuele, Italy
[3] ORSI, Melle, Belgium
[4] IRCCS San Raffaele Sci Inst, Urol Res Inst, Dept Urol, Milan, Italy
[5] IRCCS San Raffaele Sci Inst, Urol Res Inst, Div Expt Oncol, Milan, Italy
[6] Swedish Urol Grp, Dept Urol, Seattle, WA USA
[7] Onze Lieve Vrouw Hosp, Dept Urol, Aalst, Belgium
关键词
Kidney cancer; Robotic surgery; Robot-assisted partial nephrectomy; Partial nephrectomy; Nephron-sparing surgery; Technology; Innovation; Surgical strategy; RENAL TUMORS; OUTCOMES; FLUORESCENCE; SURGERY; COMPLICATIONS; ISCHEMIA;
D O I
10.1016/j.eururo.2020.05.040
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: In recent years, novel technologies have been implemented in order to improve the surgical outcomes of robot-assisted partial nephrectomy (RAPN). Intraoperative administration of indocyanine green (ICG) has been proposed to assess kidney perfusion intraoperatively. Objective: To confirm, on a large scale, the effectiveness of near-infrared fluorescence ICG-guided RAPN in leading the surgeon strategy and to provide hints to the use of this tool. Design, setting, and participants: The Transatlantic Robotic Nephron-sparing Surgery (TRoNeS) study group collected data from 737 patients subjected to RAPN between 2010 and 2016 at three tertiary care referral centers. Of them, 318 had complete demographic and clinical data, and underwent ICG-guided RAPN for clinically localized kidney cancer. Surgical procedure: Patients were subjected to RAPN with intraoperative intravenous ICG injection. Measurements: Optimal surgical outcomes, defined according to both the margin, ischemia, and complication (MIC), and the trifecta score, were assessed. Results and limitations: A total of 194 (61%) patients were male and 124 (39%) were female. The median patient age was 61 yr and median preoperative tumor size was 30 mm. Median operative time, estimated blood loss, and warm ischemia time were, respectively, 162 min, 100 ml, and 17 min. In total, 228 (71.7%) and 254 (79.9%) individuals, respectively, were selected as optimal surgical patients defined according to MIC and trifecta. The univariate and multivariable logistic regression models showed that tumor complexity nephrometry scores were independent predictors of both trifecta and MIC. The main limitation of this study is the lack of a control group. Conclusions: We report the largest population of patients who underwent ICG-guided RAPN. Intraprocedural ICG administration represents a useful tool where the vascular anatomy is challenging, and it could be implemented to maximize the adoption of RAPN. Patient summary: We demonstrated that indocyanine green (ICG) is a reliable tool for guiding the surgeon strategy during robot-assisted partial nephrectomy. ICG may help in procedure tailoring, especially in cases with challenging vascularization or impaired renal function. (C) 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:743 / 749
页数:7
相关论文
共 50 条
  • [32] Intraoperative ultrasound in robot-assisted partial nephrectomy: State of the art
    Di Cosmo, Giacomo
    Verzotti, Enrica
    Silvestri, Tommaso
    Lissiani, Andrea
    Knez, Roberto
    Pavan, Nicola
    Rizzo, Michele
    Trombetta, Carlo
    Liguori, Giovanni
    ARCHIVIO ITALIANO DI UROLOGIA E ANDROLOGIA, 2018, 90 (03) : 195 - 198
  • [33] ROBOT ASSISTED LAPAROSCOPIC PARTIAL NEPHRECTOMY VERSUS CONVENTIONAL LAPAROSCOPY: A MULTI-INSTITUTIONAL EXPERIENCE
    Derboghossians, Armen
    Zhumkhawala, Ali
    Chien, Gary
    Tammedon, Kirk
    JOURNAL OF ENDOUROLOGY, 2012, 26 : A302 - A302
  • [34] Off-clamp Robot-assisted Partial Nephrectomy Preserves Renal Function: A Multi-institutional Propensity Score Analysis
    Kaczmarek, Bartosz F.
    Tanagho, Youssef S.
    Hillyer, Shahab P.
    Mullins, Jeffrey K.
    Diaz, Mireya
    Quoc-Dien Trinh
    Bhayani, Sam B.
    Allaf, Mohamad E.
    Stifelman, Michael D.
    Kaouk, Jihad H.
    Rogers, Craig G.
    EUROPEAN UROLOGY, 2013, 64 (06) : 988 - 993
  • [35] Positive Surgical Margins in Robot-Assisted Partial Nephrectomy: A Multi-Institutional Analysis of Oncologic Outcomes (Leave No Tumor Behind)
    Khalifeh, Ali
    Kaouk, Jihad H.
    Bhayani, Sam
    Rogers, Craig
    Stifelman, Michael
    Tanagho, Youssef S.
    Kumar, Ramesh
    Gorin, Michael A.
    Sivarajan, Ganesh
    Samarasekera, Dinesh
    Allaf, Mohamad E.
    JOURNAL OF UROLOGY, 2013, 190 (05): : 1674 - 1679
  • [36] A MULTI-INSTITUTIONAL ANALYSIS OF 263 HILAR TUMORS DURING ROBOT ASSISTED PARTIAL NEPHRECTOMY
    Sunaryo, Peter
    Paulucci, David
    Okhawere, Kennedy
    Beksac, Alp Tuna
    Sfakianos, John
    Abaza, Ronney
    Eun, Daniel
    Bhandari, Akshay
    Hemal, Ashok
    Porter, James
    Badani, Ketan
    JOURNAL OF UROLOGY, 2019, 201 (04): : E605 - E606
  • [37] Robot Assisted Partial Nephrectomy Versus Laparoscopic Partial Nephrectomy for Renal Tumors: A Multi-Institutional Analysis of Perioperative Outcomes
    Benway, Brian M.
    Bhayani, Sam B.
    Rogers, Craig G.
    Dulabon, Lori M.
    Patel, Manish N.
    Lipkin, Michael
    Wang, Agnes J.
    Stifelman, Michael D.
    JOURNAL OF UROLOGY, 2009, 182 (03): : 866 - 872
  • [38] Outcomes of Robot-assisted Appendiceal Ureteroplasty From a Multi-institutional Experience
    Cho, Eric Y.
    Chaudry, Ameen E.
    Puri, Dhruv
    Kim, Sunchin
    Viers, Boyd R.
    Witthaus, Michael
    Buckley, Jill C.
    UROLOGY, 2024, 192 : 136 - 140
  • [39] Robot-assisted Partial Nephrectomy in Patients with Baseline Chronic Kidney Disease: A Multi-institutional Propensity Score-Matched Analysis
    Kumar, Ramesh K.
    Sammon, Jesse D.
    Kaczmarek, Bartosz F.
    Khalifeh, Ali
    Gorin, Michael A.
    Sivarajan, Ganesh
    Tanagho, Youssef S.
    Bhayani, Sam B.
    Stifelman, Michael D.
    Allaf, Mohamad E.
    Kaouk, Jihad H.
    Rogers, Craig G.
    EUROPEAN UROLOGY, 2014, 65 (06) : 1205 - 1210
  • [40] Are nephrometry scores accurate for the prediction of outcomes in patients with renal angiomyolipoma treated with robot-assisted partial nephrectomy? A multi-institutional analysis
    Uleri, Alessandro
    Diana, Pietro
    Lughezzani, Giovanni
    Casale, Paolo
    Saita, Alberto
    Hurle, Rodolfo
    Lazzeri, Massimo
    Porpiglia, Francesco
    Fiori, Cristian
    Amparore, Daniele
    Verri, Paolo
    Rosiello, Giuseppe
    Mottrie, Alex
    De Naeyer, Geert
    De Groote, Ruben
    Porter, James
    Buffi, Nicolomaria
    MINERVA UROLOGY AND NEPHROLOGY, 2022, 74 (06): : 730 - 737