Evidence map›Paper›PMID 39553885›Full record

ArticleBiomedical optics express2024

Virtual simulator for cystoscopy containing motion blur and bladder debris to aid the development of clinical tools.

Rachel Eimen, Kristen R Scarpato, Audrey K Bowden

Abstract read
In one paragraph

Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

3 authors.

Rachel EimenVanderbilt Biophotonics Center, Vanderbilt University, Nashville, TN 37232, USA.
Kristen R ScarpatoDepartment of Urology, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Audrey K BowdenVanderbilt Biophotonics Center, Vanderbilt University, Nashville, TN 37232, USA.ORCID https://orcid.org/0000-0002-5412-3976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystoscopic data can be used to improve bladder cancer care, but cystoscopic videos are cumbersome to review. Alternatively, cystoscopic video data can be preserved in the form of a 3D bladder reconstruction, which is both informative and convenient to review. Developing algorithms for 3D reconstruction is an iterative process and often requires access to clinical data. Unfortunately, the time and access constraints of the urology clinical workflow can inhibit this technical development. In this manuscript, we present a virtual cystoscopy simulator to enable the creation of realistic and customizable cystoscopy videos through the inclusion of motion blur and bladder debris. The user can induce motion blur at set points in the video by setting the cystoscope speed between 1 and 9 cm/s. We also introduce 12 models of bladder debris particles, each model of which has a different color, shape, or size. The user can add bladder debris to the virtual bladder by specifying which debris models to include, the density of the particles, defining the number of particles in the bladder, and whether debris is stationary or blurred and moving at a user-defined speed. This simulator can be used to generate a large collection of unique and realistic cystoscopy videos with characteristics defined by the user for their specific purpose, thereby assisting the development of novel technologies for clinical implementation.

Identifiers

PMID39553885
PMCPMC11563326

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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.