The Use of Augmented Reality to Guide the Intraoperative Frozen Section During Robot-assisted Radical Prostatectomy.


Journal

European urology
ISSN: 1873-7560
Titre abrégé: Eur Urol
Pays: Switzerland
ID NLM: 7512719

Informations de publication

Date de publication:
10 2021
Historique:
received: 17 03 2021
accepted: 24 06 2021
pubmed: 2 8 2021
medline: 11 3 2022
entrez: 1 8 2021
Statut: ppublish

Résumé

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. 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). 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. 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. Chi-square test, Student t test, and Mann-Whitney U test were used to compare, respectively, proportions, means, and medians between the two groups. 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). The novel technique of AR-3D guidance for IFS analysis may allow for reducing PSMs at the level of the index lesion. 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.

Sections du résumé

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.

Identifiants

pubmed: 34332759
pii: S0302-2838(21)01861-3
doi: 10.1016/j.eururo.2021.06.020
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

480-488

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Auteurs

Lorenzo Bianchi (L)

Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Università degli Studi di Bologna. Electronic address: lorenzo.bianchi3@gmail.com.

Francesco Chessa (F)

Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Università degli Studi di Bologna.

Andrea 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.

Laura 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.

Simone Lodi (S)

Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.

Barbara Bortolani (B)

Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Laboratory of Bioengineering, University of Bologna, Bologna, Italy.

Enrico Molinaroli (E)

Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.

Carlo Casablanca (C)

Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.

Matteo Droghetti (M)

Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.

Caterina Gaudiano (C)

Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.

Angelo Mottaran (A)

Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.

Angelo Porreca (A)

Department of Urology, Veneto Institute of Oncology IOV - IRCCS, 35128 Padua, Italy.

Rita Golfieri (R)

Università degli Studi di Bologna; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna.

Daniele Romagnoli (D)

Department of Urology, Abano Terme Hospital, Padua, Italy.

Francesca Giunchi (F)

Pathology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna.

Michelangelo Fiorentino (M)

Pathology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna.

Pietro Piazza (P)

Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium.

Stefano Puliatti (S)

Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium; Department of Urology, University of Modena and Reggio Emilia, Modena, Italy.

Stefano Diciotti (S)

Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.

Emanuela Marcelli (E)

Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Laboratory of Bioengineering, University of Bologna, Bologna, Italy.

Alexandre Mottrie (A)

Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium.

Riccardo Schiavina (R)

Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Università degli Studi di Bologna.

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