Impact of <scp>three‐dimensional</scp> prostate models during robot‐assisted radical prostatectomy on surgical margins and functional outcomes
The study will consist of a total of 270 patients: 54 patients will be included in each of the interventional groups (3D virtual, 3D printed models), 54 in the retrospective control group and 108 in the prospective control group. Automated segmentation of prostate gland and lesions will be conducted on multiparametric magnetic resonance imaging (mpMRI) using 'AutoProstate' and 'AutoLesion' deep learning approaches, while manual annotation of the neurovascular bundles, urethra and external sphincter will be conducted on mpMRI by a radiologist. This will result in masks that will be post-processed to generate 3D printed/virtual models. Patients will be allocated to either interventional arm and the surgeon will be given either a 3D printed or a 3D virtual model at the start of the RARP procedure. At the 6-week follow-up, the surgeon will meet with the patient to present PSM status and capture functional outcomes from the patient via questionnaires. We will capture these measures as endpoints for analysis. These questionnaires will be re-administered at 3, 6 and 12 months postoperatively.
Authors
- Ben J Challacombe (ORCID: https://orcid.org/0000-0001-8631-0314)
- Prokar Dasgupta (ORCID: https://orcid.org/0000-0001-8690-0445)
- Michela Antonelli (ORCID: https://orcid.org/0000-0002-3005-4523)
- Jonathan K. Noel (ORCID: https://orcid.org/0000-0002-4047-1785)
- Giorgio Gandaglia (ORCID: https://orcid.org/0000-0002-5052-721X)
- Christian Brown
- Alberto Briganti (ORCID: https://orcid.org/0000-0002-2178-0494)
- Andres Diaz‐Pinto (ORCID: https://orcid.org/0000-0002-4865-8296)
- Nawal Khan (ORCID: https://orcid.org/0000-0002-1495-6455)
- Findlay MacAskill (ORCID: https://orcid.org/0000-0001-9973-7368)
- Francesco Montorsi (ORCID: https://orcid.org/0000-0002-7267-4181)
- Armando Stabile (ORCID: https://orcid.org/0000-0002-3700-0069)
- Christopher Bunton
- Eoin Hyde (ORCID: https://orcid.org/0000-0002-5521-4140)
- Andrew Shepherd (ORCID: https://orcid.org/0000-0002-8879-2596)
- Davide Prezzi (ORCID: https://orcid.org/0000-0002-0878-2196)
- M. J. Heath
- Sébastien Ourselin (ORCID: https://orcid.org/0000-0002-5694-5340)
- Nicholas Tobias Johannes Raison (ORCID: https://orcid.org/0000-0003-0496-4985)
- Alejandro Granados (ORCID: https://orcid.org/0000-0002-2866-1324)
- Nick Byrne (ORCID: https://orcid.org/0000-0003-3401-9570)
- Carlo Seneci (ORCID: https://orcid.org/0000-0002-5948-5458)
- Ata Jaffer (ORCID: https://orcid.org/0000-0001-5087-2577)
- Margherita Ciabattini
- Paul Cathcart
Institutions
- Guy's Hospital (GB)
- Vita-Salute San Raffaele University (IT)
- King's College London (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- San Raffaele University of Rome (IT)
- Nvidia (United States) (US)
- Innotec (United Kingdom) (GB)
Publication Details
- Journal
- British Journal of Urology
- Published
- 2025-07-13
- DOI
- https://doi.org/10.1111/bju.16850
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Urology Foundation
- National Institutes of Health
- Engineering and Physical Sciences Research Council
- Centre For Medical Engineering, King’s College London