Evidence map›Paper›PMID 40653671›Full record

ArticleBJU international2025

Impact of three-dimensional prostate models during robot-assisted radical prostatectomy on surgical margins and functional outcomes.

Nawal Khan, Davide Prezzi, Nicholas Raison, Andrew Shepherd, Michela Antonelli, Nick Byrne, Maia Heath, Christopher Bunton, Carlo Seneci, Eoin Hyde and 15 more

Abstract read
In one paragraph

Article in BJU international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Nawal KhanSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-1495-6455
Davide PrezziSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Nicholas RaisonSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-0496-4985
Andrew ShepherdDepartment of Urology, Guy's Hospital, London, UK.
Michela AntonelliSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Nick ByrneMedical Physics and Clinical Engineering Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Maia HeathMedical Physics and Clinical Engineering Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Christopher BuntonMedical Physics and Clinical Engineering Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Carlo SeneciSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Eoin HydeInnersight Labs, London, UK.ORCID 0000-0002-5521-4140
Andres Diaz-PintoNVIDIA, Santa Clara, CA, USA.
Findlay MacaskillDepartment of Urology, Guy's Hospital, London, UK.ORCID 0000-0001-9973-7368
Benjamin ChallacombeDepartment of Urology, Guy's Hospital, London, UK.
Jonathan NoelDepartment of Urology, Guy's Hospital, London, UK.
Christian BrownDepartment of Urology, Guy's Hospital, London, UK.
Ata JafferDepartment of Urology, Guy's Hospital, London, UK.ORCID 0000-0001-5087-2577
Paul CathcartDepartment of Urology, Guy's Hospital, London, UK.
Margherita CiabattiniUnit of Urology, San Raffaele Hospital, Milan, Italy.
Armando StabileUnit of Urology, San Raffaele Hospital, Milan, Italy.
Alberto BrigantiUnit of Urology, San Raffaele Hospital, Milan, Italy.
Giorgio GandagliaUnit of Urology, San Raffaele Hospital, Milan, Italy.
Francesco MontorsiUnit of Urology, San Raffaele Hospital, Milan, Italy.ORCID 0000-0002-7267-4181
Sebastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Prokar DasguptaSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Alejandro GranadosSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundRobot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the treatment of prostate cancer. RARP requires a trade-off between performing a wider resection in order to reduce the risk of positive surgical margins (PSMs) and performing minimal resection of the nerve bundles that determine functional outcomes, such as incontinence and potency, which affect patients' quality of life. In order to achieve favourable outcomes, a precise understanding of the three-dimensional (3D) anatomy of the prostate, nerve bundles and tumour lesion is needed. STUDY

designThis is the protocol for a single-centre feasibility study including a prospective two-arm interventional group (a 3D virtual and a 3D printed prostate model), and a prospective control group. ENDPOINTS: The primary endpoint will be PSM status and the secondary endpoint will be functional outcomes, including incontinence and sexual function. PATIENTS AND

methodsThe 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.

Indexed as

Imaging, Three-DimensionalMargins of ExcisionModels, AnatomicPrinting, Three-DimensionalProstateProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresFeasibility StudiesHumansMaleProspective StudiesTreatment Outcome3D printed models3D virtual modelsincontinencepositive surgical marginspotencyprostate cancerrobot‐assisted radical prostatectomysexual function

Identifiers

PMID40653671
PMCPMC12343981

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.