Evidence map›Paper›PMID 39601472›Full record

Trial reportBJU international2025

3D-printed model for resection of positive surgical margins in robot-assisted prostatectomy.

Christian Engesser, Philipp Brantner, Brigitta Gahl, Matthias Walter, Julian Gehweiler, Helge Seifert, Svetozar Subotic, Cyrill Rentsch, Christian Wetterauer, Lukas Bubendorf and 3 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in BJU international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Christian EngesserDepartment of Urology, University Hospital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-5816-9808
Philipp BrantnerDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
Brigitta GahlSurgical Outcome Research Center, University Hospital Basel, University of Basel, Basel, Switzerland.
Matthias WalterDepartment of Urology, University Hospital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0001-5347-1584
Julian GehweilerDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
Helge SeifertDepartment of Urology, University Hospital Basel, Basel, Switzerland.
Svetozar SuboticDepartment of Urology, Cantonal Hospital Baselland, Liestal, Switzerland.
Cyrill RentschDepartment of Urology, University Hospital Basel, Basel, Switzerland.
Christian WetterauerDepartment of Urology, University Hospital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0003-2947-4245
Lukas BubendorfDepartment of Pathology, University Hospital Basel, Basel, Switzerland.
Tatjana VlajnicDepartment of Pathology, University Hospital Basel, Basel, Switzerland.
Abolfazl HosseiniDepartment of Urology, University Hospital Basel, Basel, Switzerland.
Jan EbbingDepartment of Urology, University Hospital Basel, Basel, Switzerland.

Funding

Intuitive Surgical
6 · The paper itself

Abstract

objectivesTo improve precision of secondary resection (SR) after positive surgical margin (PSM) detection by frozen section (FS) during nerve-sparing (NS) robot-assisted radical prostatectomy (RARP) by employing a personalised three-dimensional (3D)-printed prostate model derived from pelvic magnetic resonance imaging (MRI). This model was used to mark positive surgical margins (PSM) and guide intraoperative SR during NS-RARP. PATIENTS AND

methodsProspective multicentre cohort study with 100 patients undergoing NS-RARP between September 2018 and August 2021. Primary and secondary endpoints were the conversion rate of FS-identified PSM to a tumour-free margin and functional/oncological parameters within a 12-month follow-up, respectively.

resultsA PSM was identified in 23% of cases during FS, with a conversion to negative surgical margins (NSM) in 83% (19/23 cases) by model-guided SR. The tumour detection rate in SR specimens was 39% (nine of 23 cases). Among the 19 patients with converted margins, 18 (95%) achieved undetectable prostate-specific antigen levels 2 months postoperatively, with six (32%) having subsequent biochemical recurrence within 12 months. prostate-specific-membrane-antigen positron emission tomography computed tomography found one local recurrence, and five cases of metastatic disease. In converted patients, the baseline median five-item version of the International Index of Erectile Function score decreased by 16% after 1 year, with no significant difference compared to patients with primarily NSM. Limitations include the absence of a control group, the potential for false-negative FS results and limited accuracy of MRI.

conclusionThe integration of 3D-printed prostate models into NS-RARP has the potential to positively impact surgical outcomes by improving the precision of SR and optimising pathosurgical communication.

Indexed as

Margins of ExcisionPrinting, Three-DimensionalProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresAgedHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesProstatefunctional outcomenerve sparingprostate cancerradical prostatectomythree‐dimensional printing

Identifiers

PMID39601472
PMCPMC11913600

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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.