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The Use of Augmented Reality to Guide the Intraoperative Frozen Section During Robot-assisted Radical Prostatectomy.
Bianchi, Lorenzo; Chessa, Francesco; Angiolini, Andrea; Cercenelli, Laura; Lodi, Simone; Bortolani, Barbara; Molinaroli, Enrico; Casablanca, Carlo; Droghetti, Matteo; Gaudiano, Caterina; Mottaran, Angelo; Porreca, Angelo; Golfieri, Rita; Romagnoli, Daniele; Giunchi, Francesca; Fiorentino, Michelangelo; Piazza, Pietro; Puliatti, Stefano; Diciotti, Stefano; Marcelli, Emanuela; Mottrie, Alexandre; Schiavina, Riccardo.
Afiliación
  • Bianchi L; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Università degli Studi di Bologna. Electronic address: lorenzo.bianchi3@gmail.com.
  • Chessa F; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Università degli Studi di Bologna.
  • Angiolini A; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Università degli Studi di Bologna; Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Laboratory of Bioengineering, University of Bologna, Bologna, Italy.
  • Cercenelli L; Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Laboratory of Bioengineering, University of Bologna, Bologna, Italy; Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
  • Lodi S; Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
  • Bortolani B; Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Laboratory of Bioengineering, University of Bologna, Bologna, Italy.
  • Molinaroli E; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.
  • Casablanca C; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.
  • Droghetti M; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.
  • Gaudiano C; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.
  • Mottaran A; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.
  • Porreca A; Department of Urology, Veneto Institute of Oncology IOV - IRCCS, 35128 Padua, Italy.
  • Golfieri R; Università degli Studi di Bologna; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.
  • Romagnoli D; Department of Urology, Abano Terme Hospital, Padua, Italy.
  • Giunchi F; Pathology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna.
  • Fiorentino M; Pathology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna.
  • Piazza P; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium.
  • Puliatti S; Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium; Department of Urology, University of Modena and Reggio Emilia, Modena, Italy.
  • Diciotti S; Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
  • Marcelli E; Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Laboratory of Bioengineering, University of Bologna, Bologna, Italy.
  • Mottrie A; Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium.
  • Schiavina R; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Università degli Studi di Bologna.
Eur Urol ; 80(4): 480-488, 2021 10.
Article en En | MEDLINE | ID: mdl-34332759
BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) can guide the surgical plan during robot-assisted radical prostatectomy (RARP), and intraoperative frozen section (IFS) can facilitate real-time surgical margin assessment. OBJECTIVE: To assess a novel technique of IFS targeted to the index lesion by using augmented reality three-dimensional (AR-3D) models in patients scheduled for nerve-sparing RARP (NS-RARP). DESIGN, SETTING, AND PARTICIPANTS: Between March 2019 and July 2019, 20 consecutive prostate cancer patients underwent NS-RARP with IFS directed to the index lesion with the help of AR-3D models (study group). Control group consists of 20 patients matched with 1:1 propensity score for age, clinical stage, Prostate Imaging Reporting and Data System score v2, International Society of Urological Pathology grade, prostate volume, NS approach, and prostate-specific antigen in which RARP was performed by cognitive assessment of mpMRI. SURGICAL PROCEDURE: In the study group, an AR-3D model was superimposed to the surgical field to guide the surgical dissection. Tissue sampling for IFS was taken in the area in which the index lesion was projected by AR-3D guidance. MEASUREMENTS: Chi-square test, Student t test, and Mann-Whitney U test were used to compare, respectively, proportions, means, and medians between the two groups. RESULTS AND LIMITATIONS: Patients in the AR-3D group had comparable preoperative characteristics and those undergoing the NS approach were referred to as the control group (all p ≥ 0.06). Overall, positive surgical margin (PSM) rates were comparable between the two groups; PSMs at the level of the index lesion were significantly lower in patients referred to AR-3D guided IFS to the index lesion (5%) than those in the control group (20%; p = 0.01). CONCLUSIONS: The novel technique of AR-3D guidance for IFS analysis may allow for reducing PSMs at the level of the index lesion. PATIENT SUMMARY: Augmented reality three-dimensional guidance for intraoperative frozen section analysis during robot-assisted radical prostatectomy facilitates the real-time assessment of surgical margins and may reduce positive surgical margins at the index lesion.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Robótica / Procedimientos Quirúrgicos Robotizados / Realidad Aumentada Tipo de estudio: Guideline / Prognostic_studies Límite: Humans / Male Idioma: En Revista: Eur Urol Año: 2021 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Robótica / Procedimientos Quirúrgicos Robotizados / Realidad Aumentada Tipo de estudio: Guideline / Prognostic_studies Límite: Humans / Male Idioma: En Revista: Eur Urol Año: 2021 Tipo del documento: Article Pais de publicación: Suiza