Evidence map›Paper›PMID 38511303›Full record

ArticleJournal of biomechanical engineering2024

Validation of Dynamic 3D MRI for Urodynamics Assessment Using an Anatomically Realistic In Vitro Model of the Bladder.

James Rice, Wade Bushman, Alejandro Roldán-Alzate

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2024. 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. Article
  2. Article
  3. Article
  4. Review
  5. Computational fluid dynamics of bladder voiding using 3D dynamic MRI.International journal for numerical methods in biomedical engineering · 2024
    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

3 authors.

James RiceDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI 53705; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53705.ORCID 0000-0002-2029-6705
Wade BushmanDepartment of Urology, University of Wisconsin-Madison, Madison, WI 53705.
Alejandro Roldán-AlzateDepartment of Radiology, University of Wisconsin-Madison, Madison, WI 53705;Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53705.

Funding

Coordinating and Bioinformatics Unit for the MMPC/DiaCompU24DK076169 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2006 to 2018
$42.4M
Wisconsin Multidisciplinary K12 Urologic Research Career Development ProgramK12DK100022 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI CHAD M. VEZINA · 2013 to 2026
$8.6M
MR imaging-based Quantitative Analysis of Bladder Anatomy and Function in BPH/LUTSR01DK126850 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI ROLDAN, ALEJANDRO · 2021 to 2023
$680k
NIDDK NIH HHS K12 DK100022NIDDK NIH HHS R01 DK126850NIDDK NIH HHS R01 DK126850-01NIDDK NIH HHS U24 DK076169
6 · The paper itself

Abstract

Lowery urinary tract symptoms (LUTS) affect a large majority of the aging population. 3D Dynamic MRI shows promise as a noninvasive diagnostic tool that can assess bladder anatomy and function (urodynamics) while overcoming challenges associated with current urodynamic assessment methods. However, validation of this technique remains an unmet need. In this study, an anatomically realistic, bladder-mimicking in vitro flow model was created and used to systematically benchmark 3D dynamic MRI performance using a highly controllable syringe pump. Time-resolved volumes of the synthetic bladder model were obtained during simulated filling and voiding events and used to calculate volumetric flowrate. During MRI acquisitions, pressure during each event was recorded and used to create PV loops for work assessment. Error between control and MRI-derived volume for voiding and filling events exhibited 3.36% and 4.66% differences, respectively. A slight increase in average error was observed for MRI-derived flowrate when compared to the control flowrate (4.90% and 7.67% for voiding and filling, respectively). Overall, average error in segmented volumes increased with decreasing volume flowrate. Pressure drops were observed during voiding. Pressure increased during filling. Enhanced validation of novel 3D MRI urodynamics is achieved by using high-resolution PIV for visualizing and quantifying velocity inside the bladder model, which is not currently possible with 3D Dynamic MRI.

Indexed as

Urinary BladderUrodynamicsMagnetic Resonance Imagingbladder urodynamicsdynamic MRIlowery urinary tract symptomsparticle image velocimetry

Identifiers

PMID38511303
PMCPMC11080948

What OpenQuestion holds

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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.