Evidence map›Paper›PMID 36547859›Full record

ArticleJournal of digital imaging2023

3D-Reconstructed Contact Surface Area and Tumour Volume on Magnetic Resonance Imaging Improve the Prediction of Extraprostatic Extension of Prostate Cancer.

Hans Veerman, Caroline M A Hoeks, Judith H Sluijter, Jari A van der Eijk, Thierry N Boellaard, Ton A Roeleveld, Tim M van der Sluis, Jakko A Nieuwenhuijzen, Esther Wit, Erik-Jan Rijkhorst and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of digital imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

16 authors at 5 institutions in 2 countries.

Hans VeermanDepartment of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands. h.veerman@nki.nl.ORCID 0000-0002-2297-8179
Caroline M A HoeksDepartment of Radiology, Diakonessenhuis Utrecht, Netherlands.
Judith H SluijterDepartment of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands.
Jari A van der EijkDepartment of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands.
Thierry N BoellaardDepartment of Radiology, Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, Netherlands.
Ton A RoeleveldProstate Cancer Network the Netherlands, Amsterdam, Netherlands.
Tim M van der SluisDepartment of Urology, Amsterdam University Medical Centers Location Boelelaan, Amsterdam, Netherlands.
Jakko A NieuwenhuijzenDepartment of Urology, Amsterdam University Medical Centers Location Boelelaan, Amsterdam, Netherlands.
Esther WitDepartment of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands.
Erik-Jan RijkhorstDepartment of Clinical Physics and Instrumentation, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Alkmaar, Netherlands.
Martijn W HeymansDepartment of Epidemiology and Data Science, Amsterdam University Medical Centers Location Boelelaan, Amsterdam, Netherlands.
Maarten J A van AlphenVerwelius 3D Lab, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, Netherlands.
Robert L P van VeenVerwelius 3D Lab, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, Netherlands.
André N VisDepartment of Urology, Amsterdam University Medical Centers Location Boelelaan, Amsterdam, Netherlands.
Henk G van der PoelDepartment of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands.
Pim J van LeeuwenDepartment of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands.
The Netherlands Cancer Institute · NLAmsterdam University Medical Centers · NLNetherlands Cancer Institute-Antoni van Leeuwenhoek Hospital · NLDiakonessenhuis hospital · NLNoordwest Ziekenhuisgroep · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study is to determine whether the volume and contact surface area (CSA) of a tumour with an adjacent prostate capsule on MRI in a three-dimensional (3D) model that can predict side-specific extraprostatic extension (EPE) at radical prostatectomy (RP). Patients with localised prostate cancer (PCa) who underwent robot-assisted RP between July 2015 and March 2021 were included in this retrospective study. MRI-based 3D prostate models incorporating the PCa volume and location were reconstructed. The tumour volume and surface variables were extracted. For the prostate-to-tumour and tumour-to-prostate CSAs, the areas in which the distances were ≤ 1, ≤ 2, ≤ 3, ≤ 4, and ≤ 5 mm were defined, and their surface (cm

Indexed as

Prostatic NeoplasmsHumansMagnetic Resonance ImagingMaleProstateRetrospective StudiesTumor BurdenExtraprostatic extensionMagnetic resonance imagingProstate cancerProstatectomyThree-dimensional images

Identifiers

PMID36547859
PMCPMC10039205
OpenAlexW4312094228

What OpenQuestion holds

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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.