The impact of 3D models on positive surgical margins after robot-assisted radical prostatectomy.
3D modeling
Augmented reality
Prostate cancer
Robotic surgery
Surgical margins
Journal
World journal of urology
ISSN: 1433-8726
Titre abrégé: World J Urol
Pays: Germany
ID NLM: 8307716
Informations de publication
Date de publication:
Sep 2022
Sep 2022
Historique:
received:
23
02
2022
accepted:
03
05
2022
pubmed:
6
7
2022
medline:
2
9
2022
entrez:
5
7
2022
Statut:
ppublish
Résumé
To evaluate the role of 3D models on positive surgical margin rate (PSM) rate in patients who underwent robot-assisted radical prostatectomy (RARP) compared to a no-3D control group. Secondarily, we evaluated the postoperative functional and oncological outcomes. Prospective study enrolling patients with localized prostate cancer (PCa) undergoing RARP with mp-MRI-based 3D model reconstruction, displayed in a cognitive or augmented-reality fashion, at our Centre from 01/2016 to 01/2020. A control no-3D group was extracted from the last two years of our Institutional RARP database. PSMr between the two groups was evaluated and multivariable linear regression (MLR) models were applied. Finally, Kaplan-Meier estimator was used to calculate biochemical recurrence at 12 months after the intervention. 160 patients were enrolled in the 3D Group, while 640 were selected for the Control Group. A more conservative NS approach was registered in the 3D Group (full NS 20.6% vs 12.7%; intermediate NS 38.1% vs 38.0%; standard NS 41.2% vs 49.2%; p = 0.02). 3D Group patients had lower PSM rates (25 vs. 35.1%, p = 0.01). At MLR models, the availability of 3D technology (p = 0.005) and the absence of extracapsular extension (ECE, p = 0.004) at mp-MRI were independent predictors of lower PSMr. Moreover, 3D model represented a significant protective factor for PSM in patients with ECE or pT3 disease. The availability of 3D models during the intervention allows to modulate the NS approach, limiting the occurrence of PSM, especially in patients with ECE at mp-MRI or pT3 PCa.
Identifiants
pubmed: 35790535
doi: 10.1007/s00345-022-04038-8
pii: 10.1007/s00345-022-04038-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2221-2229Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Checcucci E, Amparore D, De Luca S, Autorino R, Fiori C, Porpiglia F (2019) Precision prostate cancer surgery: an overview of new technologies and techniques. Minerva Urol Nefrol 71(5):487–501. https://doi.org/10.23736/S0393-2249.19.03365-4
doi: 10.23736/S0393-2249.19.03365-4
pubmed: 30700084
Lee S, Kim KB, Jo JK, Ho JN, Oh JJ, Jeong SJ, Hong SK, Byun SS, Choe G, Lee SE (2016) Prognostic value of focal positive surgical margins after radical prostatectomy. Clin Genitourin Cancer 14(4):e313–e319. https://doi.org/10.1016/j.clgc.2015.12.013
doi: 10.1016/j.clgc.2015.12.013
pubmed: 27130538
Dinneen E, Haider A, Grierson J, Freeman A, Oxley J, Briggs T, Nathan S, Williams NR, Brew-Graves C, Persad R, Aning J, Jamieson C, Ratynska M, Ben-Salha I, Ball R, Clow R, Allen C, Heffernan-Ho D, Kelly J, Shaw G (2020) NeuroSAFE frozen section during robot-assisted radical prostatectomy (RARP): Peri-operative and histopathological outcomes from the NeuroSAFE PROOF Feasibility Randomised Controlled Trial. BJU Int. https://doi.org/10.1111/bju.15256
doi: 10.1111/bju.15256
pubmed: 33270968
Rocco B, Sighinolfi MC, Cimadamore A, ReggianiBonetti L, Bertoni L, Puliatti S, Eissa A, Spandri V, Azzoni P, Dinneen E, Shaw G, Nathan S, Micali S, Bianchi G, Maiorana A, Pellacani G, Montironi R (2020) Digital frozen section of the prostate surface during radical prostatectomy: a novel approach to evaluate surgical margins. BJU Int 126(3):336–338. https://doi.org/10.1111/bju.15108
doi: 10.1111/bju.15108
pubmed: 32401370
Russo F, Manfredi M, Panebianco V, Armando E, De Luca S, Mazzetti S, Giannini V, Mele F, Bollito E, Appendino E, Regge D, Porpiglia F (2019) Radiological wheeler staging system: a retrospective cohort analysis to improve the local staging of prostate cancer with multiparametric MRI. Minerva Urol Nefrol 71(3):264–272. https://doi.org/10.23736/S0393-2249.19.03248-X
doi: 10.23736/S0393-2249.19.03248-X
pubmed: 30654601
Porpiglia F, Bertolo R, Checcucci E, Amparore D, Autorino R, Dasgupta P, Wiklund P, Tewari A, Liatsikos E, Fiori C, ESUT Research Group (2018) Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists’ and patients’ perception. World J Urol. https://doi.org/10.1007/s00345-017-2126-1
doi: 10.1007/s00345-017-2126-1
pubmed: 29600334
Porpiglia F, Checcucci E, Amparore D, Manfredi M, Massa F, Piazzolla P, Manfrin D, Piana A, Tota D, Bollito E, Fiori C (2019) Three-dimensional elastic augmented-reality robot-assisted radical prostatectomy using hyperaccuracy three-dimensional reconstruction technology: a step further in the identification of capsular involvement. Eur Urol 76(4):505–514. https://doi.org/10.1016/j.eururo.2019.03.037
doi: 10.1016/j.eururo.2019.03.037
pubmed: 30979636
Porpiglia F, Checcucci E, Amparore D, Autorino R, Piana A, Bellin A, Piazzolla P, Massa F, Bollito E, Gned D, De Pascale A, Fiori C (2019) Augmented-reality robot-assisted radical prostatectomy using hyper-accuracy three-dimensional reconstruction (HA3D™) technology: a radiological and pathological study. BJU Int 123(5):834–845. https://doi.org/10.1111/bju.14549 (Epub 2018 Oct 19 PMID: 30246936)
doi: 10.1111/bju.14549
pubmed: 30246936
Amparore D, Pecoraro A, Checcucci E et al (2021) 3D imaging technologies in minimally-invasive kidney and prostate cancer surgery: which is the urologists’ perception? Minerva Urol Nefrol. https://doi.org/10.23736/S2724-6051.21.04131-X
doi: 10.23736/S2724-6051.21.04131-X
Russo F, Regge D, Armando E, Giannini V, Vignati A, Mazzetti S, Manfredi M, Bollito E, Correale L, Porpiglia F (2016) Detection of prostate cancer index lesions with multiparametric magnetic resonance imaging (mp-MRI) using whole-mount histological sections as the reference standard. BJU Int 118(1):84–94. https://doi.org/10.1111/bju.13234
doi: 10.1111/bju.13234
pubmed: 26198404
Porpiglia F, Bertolo R, Manfredi M, De Luca S, Checcucci E, Morra I, Passera R, Fiori C (2016) Total anatomical reconstruction during robot-assisted radical prostatectomy: implications on early recovery of urinary continence. Eur Urol 69(3):485–495. https://doi.org/10.1016/j.eururo.2015.08.005
doi: 10.1016/j.eururo.2015.08.005
pubmed: 26297603
Austin PC (2011) An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res 46(3):399–424. https://doi.org/10.1080/00273171.2011.568786
doi: 10.1080/00273171.2011.568786
Montorsi F, Wilson TG, Rosen RC, Ahlering TE, Artibani W, Carroll PR, Costello A, Eastham JA, Ficarra V, Guazzoni G, Menon M, Novara G, Patel VR, Stolzenburg JU, Van der Poel H, Van Poppel H, Mottrie A, Pasadena Consensus Panel (2012) Best practices in robot-assisted radical prostatectomy: recommendations of the Pasadena Consensus Panel. Eur Urol. https://doi.org/10.1016/j.eururo.2012.05.057
doi: 10.1016/j.eururo.2012.05.057
pubmed: 23266239
pmcid: 4029115
Dindo D, Demartines N, Clavien PA (2004) Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg 240(2):205–213. https://doi.org/10.1097/01.sla.0000133083.54934.ae.PMID:15273542;PMCID:PMC1360123
doi: 10.1097/01.sla.0000133083.54934.ae.PMID:15273542;PMCID:PMC1360123
pubmed: 15273542
pmcid: 1360123
Martini A, Gandaglia G, Fossati N, Scuderi S, Bravi CA, Mazzone E, Stabile A, Scarcella S, Robesti D, Barletta F, Cucchiara V, Mirone V, Montorsi F, Briganti A (2019) Defining clinically meaningful positive surgical margins in patients undergoing radical prostatectomy for localised prostate cancer. Eur Urol Oncol. https://doi.org/10.1016/j.euo.2019.03.006
doi: 10.1016/j.euo.2019.03.006
pubmed: 31810893
pmcid: 9163676
Rosen RC, Riley A, Wagner G, Osterloh IH, Kirkpatrick J, Mishra A (1997) The international index of erectile function (IIEF): a multidimensional scale for assessment of erectile dysfunction. Urology 49(6):822–830. https://doi.org/10.1016/s0090-4295(97)00238-0
doi: 10.1016/s0090-4295(97)00238-0
pubmed: 9187685
Wang S, Frisbie J, Keepers Z, Bolten Z, Hevaganinge A, Boctor E, Leonard S, Tokuda J, Krieger A, Siddiqui MM (2020) The Use of three-dimensional visualization techniques for prostate procedures: a systematic review. Eur Urol Focus. https://doi.org/10.1016/j.euf.2020.08.002
doi: 10.1016/j.euf.2020.08.002
pubmed: 32873515
Kratiras Z, Gavazzi A, Belba A, Willis B, Chew S, Allen C, Amoroso P, Dasgupta P (2019) Phase I study of a new tablet-based image guided surgical system in robot-assisted radical prostatectomy. Minerva Urol Nefrol 71(1):92–95. https://doi.org/10.23736/S0393-2249.18.03250-2
doi: 10.23736/S0393-2249.18.03250-2
pubmed: 30421593
Ukimura O, Gill IS (2008) Imaging-assisted endoscopic surgery: Cleveland Clinic experience. J Endourol 22(4):803–810. https://doi.org/10.1089/end.2007.9823
doi: 10.1089/end.2007.9823
pubmed: 18366316
Teber D, Simpfendörfer T, Guven S, Baumhauer M, Gözen AS, Rassweiler J (2010) In-vitro evaluation of a soft-tissue navigation system for laparoscopic prostatectomy. J Endourol 24(9):1487–1491. https://doi.org/10.1089/end.2009.0289
doi: 10.1089/end.2009.0289
pubmed: 20726787
Simpfendörfer T, Baumhauer M, Müller M, Gutt CN, Meinzer HP, Rassweiler JJ, Guven S, Teber D (2011) Augmented reality visualization during laparoscopic radical prostatectomy. J Endourol 25(12):1841–1845. https://doi.org/10.1089/end.2010.0724
doi: 10.1089/end.2010.0724
pubmed: 21970336
Lanchon C, Custillon G, Moreau-Gaudry A, Descotes JL, Long JA, Fiard G, Voros S (2016) Augmented reality using transurethral ultrasound for laparoscopic radical prostatectomy: preclinical evaluation. J Urol 196(1):244–250. https://doi.org/10.1016/j.juro.2016.01.094
doi: 10.1016/j.juro.2016.01.094
pubmed: 26820551
Amparore D, Checcucci E, Fiori C, Porpiglia F, Francesco P, Enrico C, Daniele A et al (2020) Three-dimensional Augmented Reality Robot-assisted Partial Nephrectomy in Case of Complex Tumours (PADUA ≥ 10): A New Intraoperative Tool Overcoming the Ultrasound Guidance. Eur Urol. In press. Eur Urol 77(6):e163–e164. https://doi.org/10.1016/j.eururo.2020.03.038
doi: 10.1016/j.eururo.2020.03.038
pubmed: 32279902
Porpiglia F, Checcucci E, Amparore D, Piazzolla P, Manfredi M, Pecoraro A, De Cillis S, Piana A, Volpi G, Piramide F, Alessio P, Granato S, Vezzetti E, Fiori C (2021) P1100-Artificial intelligence guided 3D automatic augmented-reality images allow to identify the extracapsular extension on neurovascular bundles during robotic prostatectomy. Eur Urol 79(Supplement):1. https://doi.org/10.1016/S0302-2838(21)01471-8
doi: 10.1016/S0302-2838(21)01471-8
Bianchi L, Chessa F, Angiolini A, Cercenelli L, Lodi S, Bortolani B, Molinaroli E, Casablanca C, Droghetti M, Gaudiano C, Mottaran A, Porreca A, Golfieri R, Romagnoli D, Giunchi F, Fiorentino M, Piazza P, Puliatti S, Diciotti S, Marcelli E, Mottrie A, Schiavina R (2021) The use of augmented reality to guide the intraoperative frozen section during robot-assisted radical prostatectomy. Eur Urol. https://doi.org/10.1016/j.eururo.2021.06.020
doi: 10.1016/j.eururo.2021.06.020
pubmed: 34332759
Schiavina R, Bianchi L, Lodi S, Cercenelli L, Chessa F, Bortolani B, Gaudiano C, Casablanca C, Droghetti M, Porreca A, Romagnoli D, Golfieri R, Giunchi F, Fiorentino M, Marcelli E, Diciotti S, Brunocilla E (2020) Real-time augmented reality three-dimensional guided robotic radical prostatectomy: preliminary experience and evaluation of the impact on surgical planning. Eur Urol Focus. https://doi.org/10.1016/j.euf.2020.08.004
doi: 10.1016/j.euf.2020.08.004
pubmed: 32883625
Morozov A, Barret E, Veneziano D, Grigoryan V, Salomon G, Fokin I, Taratkin M, Poddubskaya E, Gomez Rivas J, Puliatti S, Okhunov Z, Cacciamani GE, Checcucci E, Marenco Jiménez JL, Enikeev D, In collaboration with ESUT-YAUWP Group (2021) A systematic review of nerve-sparing surgery for high-risk prostate cancer. Minerva Urol Nefrol. https://doi.org/10.23736/S0393-2249.20.04178-8
doi: 10.23736/S0393-2249.20.04178-8
Checcucci E, Autorino R, Cacciamani GE, Amparore D, De Cillis S, Piana A, Piazzolla P, Vezzetti E, Fiori C, Veneziano D, Tewari A, Dasgupta P, Hung A, Gill I, Porpiglia F, Uro-technology and SoMe Working Group of the Young Academic Urologists Working Party of the European Association of Urology (2020) Artificial intelligence and neural networks in urology: current clinical applications. Minerva Urol Nefrol. https://doi.org/10.23736/S0393-2249.19.03613-0
doi: 10.23736/S0393-2249.19.03613-0
pubmed: 32495611
Checcucci E, De Cillis S, Granato S, Chang P, Afyouni AS, Okhunov Z, o-technology and SoMe Working Group of the Young Academic Urologists Working Party of the European Association of Urology (2020) Applications of neural networks in urology: a systematic review. Curr Opin Urol. https://doi.org/10.1097/MOU.0000000000000814 (PMID: 32881726)
doi: 10.1097/MOU.0000000000000814
pubmed: 32881726