Evidence map›Paper›PMID 27341340›Full record

ArticlePloS one2016

Noninvasive Evaluation of Bladder Wall Mechanical Properties as a Function of Filling Volume: Potential Application in Bladder Compliance Assessment.

Ivan Nenadic, Lance Mynderse, Douglas Husmann, Mohammad Mehrmohammadi, Mahdi Bayat, Aparna Singh, Max Denis, Matthew Urban, Azra Alizad, Mostafa Fatemi

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
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  19. NEW CONCEPTS IN BLADDER SENSATION AND URINARY URGENCY.Current bladder dysfunction reports · 2018
    Article
  20. Mechanics of ultrasound elastography.Proceedings. Mathematical, physical, and engineering sciences · 2017
    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

10 authors.

Ivan NenadicDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Lance MynderseDepartment of Urology, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Douglas HusmannDepartment of Urology, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Mohammad MehrmohammadiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Mahdi BayatDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Aparna SinghDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Max DenisDepartment of Radiology, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Matthew UrbanDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Azra AlizadDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.
Mostafa FatemiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America.

Funding

Combined Acoustic Imaging and Viscoelastic Parameters Estimation in Breast CancerR01CA148994 · NCI · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA · 2011 to 2015
$2.4M
Ultrasonic Techniques for Bladder Compliance MeasurementR01DK099231 · NIDDK · MAYO CLINIC ROCHESTER · PI FATEMI, MOSTAFA · 2013 to 2016
$979k
NCI NIH HHS R01 CA148994NIDDK NIH HHS R01 DK099231
6 · The paper itself

Abstract

purposeWe propose a novel method to monitor bladder wall mechanical properties as a function of filling volume, with the potential application to bladder compliance assessment. The proposed ultrasound bladder vibrometry (UBV) method uses ultrasound to excite and track Lamb waves on the bladder wall from which its mechanical properties are derived by fitting measurements to an analytical model. Of particular interest is the shear modulus of bladder wall at different volumes, which we hypothesize, is similar to measuring the compliance characteristics of the bladder. MATERIALS AND

methodsThree experimental models were used: 1) an ex vivo porcine model where normal and aberrant (stiffened by formalin) bladders underwent evaluation by UBV; 2) an in vivo study to evaluate the performance of UBV on patients with clinically documented compliant and noncompliant bladders undergoing UDS; and 3) a noninvasive UBV protocol to assess bladder compliance using oral hydration and fractionated voiding on three healthy volunteers.

resultsThe ex vivo studies showed a high correlation between the UBV parameters and direct pressure measurement (R2 = 0.84-0.99). A similar correlation was observed for 2 patients with compliant and noncompliant bladders (R2 = 0.89-0.99) undergoing UDS detrusor pressure-volume measurements. The results of UBV on healthy volunteers, performed without catheterization, were comparable to a compliant bladder patient.

conclusionThe utility of UBV as a method to monitor changes in bladder wall mechanical properties is validated by the high correlation with pressure measurements in ex vivo and in vivo patient studies. High correlation UBV and UDS in vivo studies demonstrated the potential of UBV as a bladder compliance assessment tool. Results of studies on healthy volunteers with normal bladders demonstrated that UBV could be performed noninvasively. Further studies on a larger cohort are needed to fully validate the use of UBV as a clinical tool for bladder compliance assessment.

Indexed as

Mechanical PhenomenaAdultAnimalsComplianceHumansPressureSwineUltrasonographyUrinary BladderYoung Adult

Identifiers

PMID27341340
PMCPMC4920425

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.