Evidence map›Paper›PMID 36661658›Full record

ArticleCurrent oncology (Toronto, Ont.)2022

Intraoperative 3D-US-mpMRI Elastic Fusion Imaging-Guided Robotic Radical Prostatectomy: A Pilot Study.

Marco Oderda, Giorgio Calleris, Daniele D'Agate, Marco Falcone, Riccardo Faletti, Marco Gatti, Giancarlo Marra, Alessandro Marquis, Paolo Gontero

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

9 authors.

Marco OderdaDepartment of Surgical Sciences-Urology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.ORCID 0000-0003-4681-888X
Giorgio CallerisDepartment of Surgical Sciences-Urology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.
Daniele D'AgateDepartment of Surgical Sciences-Urology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.
Marco FalconeDepartment of Surgical Sciences-Urology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.
Riccardo FalettiDepartment of Radiology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.
Marco GattiDepartment of Radiology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.
Giancarlo MarraDepartment of Surgical Sciences-Urology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.
Alessandro MarquisDepartment of Surgical Sciences-Urology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.
Paolo GonteroDepartment of Surgical Sciences-Urology, Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhen performing a nerve-sparing (NS) robotic radical prostatectomy (RARP), cancer location based on multiparametric MRI (mpMRI) is essential, as well as the location of positive biopsy cores outside mpMRI targets. The aim of this pilot study was to assess the feasibility of intraoperative 3D-TRUS-mpMRI elastic fusion imaging to guide RARP and to evaluate its impact on the surgical strategy.

methodsWe prospectively enrolled 11 patients with organ-confined mpMRI-visible prostate cancer (PCa), histologically confirmed at transperineal fusion biopsy using Koelis Trinity. Before surgery, the 3D model of the prostate generated at biopsy was updated, showing both mpMRI lesions and positive biopsy cores, and was displayed on the Da Vinci robotic console using TilePro™ function.

resultsIntraoperative 3D modeling was feasible in all patients (median of 6 min). The use of 3D models led to a major change in surgical strategy in six cases (54%), allowing bilateral instead of monolateral NS, or monolateral NS instead of non-NS, to be performed. At pathologic examination, no positive surgical margins (PSMs) were reported. Bilateral PCa presence was detected in one (9%), four (36%), and nine (81%) patients after mpMRI, biopsy, and RARP, respectively. Extracapsular extension was found in two patients (18%) even if it was not suspected at MRI.

conclusionsIntraoperative 3D-TRUS-mpMRI modeling with Koelis Trinity is feasible and reliable, helping the surgeon to maximize functional outcomes without increasing the risk of positive surgical margins. The location of positive biopsy cores must be registered in 3D models, given the rates of bilateral involvement not seen at mpMRI.

Indexed as

Multiparametric Magnetic Resonance ImagingProstatic NeoplasmsRobotic Surgical ProceduresHumansMaleMargins of ExcisionPilot ProjectsProstateProstatectomy3Delastic fusionintraoperativerobotic radical prostatectomyultrasound

Identifiers

PMID36661658
PMCPMC9858363

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.