Background: Augmented reality (AR) is a novel technology adopted in prostatic surgery. Objective: To evaluate the impact of a 3D model with AR (AR-3D model), to guide nerve sparing (NS) during robot-assisted radical prostatectomy (RARP), on surgical planning. Design, Setting, and Participants: Twenty-six consecutive patients with diagnosis of prostate cancer (PCa) and multiparametric magnetic resonance imaging (mpMRI) results available were scheduled for AR-3D NS RARP. Intervention: Segmentation of mpMRI and creation of 3D virtual models were achieved. To develop AR guidance, the surgical DaVinci video stream was sent to an AR-dedicated personal computer, and the 3D virtual model was superimposed and manipulated in real time on the robotic console. Outcome measurements and statistical analysis: The concordance of localisation of the index lesion between the 3D model and the pathological specimen was evaluated using a prostate map of 32 specific areas. A preliminary surgical plan to determinate the extent of the NS approach was recorded based on mpMRI. The final surgical plan was reassessed during surgery by implementation of the AR-3D model guidance. Results and limitations: The positive surgical margin (PSM) rate was 15.4% in the overall patient population; three patients (11.5%) had PSMs at the level of the index lesion. AR-3D technology changed the NS surgical plan in 38.5% of men on patient-based and in 34.6% of sides on side-based analysis, resulting in overall appropriateness of 94.4%. The 3D model revealed 70%, 100%, and 92% of sensitivity, specificity, and accuracy, respectively, at the 32-area map analysis. Conclusions: AR-3D guided surgery is useful for improving the real-time identification of the index lesion and allows changing of the NS approach in approximately one out of three cases, with overall appropriateness of 94.4%. Patient summary: Augmented reality three-dimensional guided robot-assisted radical prostatectomy allows identification of the index prostate cancer during surgery, to tailor the surgical dissection to the index lesion and to change the extent of nerve-sparing dissection. Augmented reality three-dimensional (3D) guided robotic prostatectomy is feasible to improve the real-time identification of index prostate cancer and to modulate the nerve-sparing approach targeted to the index lesion. Augmented reality 3D models revealed good concordance with the whole-mount pathology.

Real-time Augmented Reality Three-dimensional Guided Robotic Radical Prostatectomy: Preliminary Experience and Evaluation of the Impact on Surgical Planning / 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.. - In: EUROPEAN UROLOGY FOCUS. - ISSN 2405-4569. - STAMPA. - 7:6(2021), pp. 1260-1267. [10.1016/j.euf.2020.08.004]

Real-time Augmented Reality Three-dimensional Guided Robotic Radical Prostatectomy: Preliminary Experience and Evaluation of the Impact on Surgical Planning

Schiavina R.;Bianchi L.;Lodi S.;Cercenelli L.;Chessa F.;Bortolani B.;Casablanca C.;Droghetti M.;Golfieri R.;Fiorentino M.;Marcelli E.;Diciotti S.;Brunocilla E.
2021

Abstract

Background: Augmented reality (AR) is a novel technology adopted in prostatic surgery. Objective: To evaluate the impact of a 3D model with AR (AR-3D model), to guide nerve sparing (NS) during robot-assisted radical prostatectomy (RARP), on surgical planning. Design, Setting, and Participants: Twenty-six consecutive patients with diagnosis of prostate cancer (PCa) and multiparametric magnetic resonance imaging (mpMRI) results available were scheduled for AR-3D NS RARP. Intervention: Segmentation of mpMRI and creation of 3D virtual models were achieved. To develop AR guidance, the surgical DaVinci video stream was sent to an AR-dedicated personal computer, and the 3D virtual model was superimposed and manipulated in real time on the robotic console. Outcome measurements and statistical analysis: The concordance of localisation of the index lesion between the 3D model and the pathological specimen was evaluated using a prostate map of 32 specific areas. A preliminary surgical plan to determinate the extent of the NS approach was recorded based on mpMRI. The final surgical plan was reassessed during surgery by implementation of the AR-3D model guidance. Results and limitations: The positive surgical margin (PSM) rate was 15.4% in the overall patient population; three patients (11.5%) had PSMs at the level of the index lesion. AR-3D technology changed the NS surgical plan in 38.5% of men on patient-based and in 34.6% of sides on side-based analysis, resulting in overall appropriateness of 94.4%. The 3D model revealed 70%, 100%, and 92% of sensitivity, specificity, and accuracy, respectively, at the 32-area map analysis. Conclusions: AR-3D guided surgery is useful for improving the real-time identification of the index lesion and allows changing of the NS approach in approximately one out of three cases, with overall appropriateness of 94.4%. Patient summary: Augmented reality three-dimensional guided robot-assisted radical prostatectomy allows identification of the index prostate cancer during surgery, to tailor the surgical dissection to the index lesion and to change the extent of nerve-sparing dissection. Augmented reality three-dimensional (3D) guided robotic prostatectomy is feasible to improve the real-time identification of index prostate cancer and to modulate the nerve-sparing approach targeted to the index lesion. Augmented reality 3D models revealed good concordance with the whole-mount pathology.
2021
Real-time Augmented Reality Three-dimensional Guided Robotic Radical Prostatectomy: Preliminary Experience and Evaluation of the Impact on Surgical Planning / 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.. - In: EUROPEAN UROLOGY FOCUS. - ISSN 2405-4569. - STAMPA. - 7:6(2021), pp. 1260-1267. [10.1016/j.euf.2020.08.004]
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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/787247
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