Literature DB >> 35572816

Repeatability of Ultrasound-Defined Bladder Shape Metrics in Healthy Volunteers.

Kaitlyn M Maddra1, Rui Li2, Anna S Nagle2, Adam P Klausner1, John E Speich2.   

Abstract

Purpose: Recent studies demonstrate the potential value of using non-invasive abdominal ultrasound to quantify bladder shape and its association with disorders of bladder filling and voiding. The aim of the present study was to assess the repeatability of ultrasound-defined bladder shape metrics within the same individual from multiple bladder fills and study visits. Patients and
Methods: Healthy volunteers completed an oral hydration protocol with two weekly visits, each with two consecutive bladder fill-void cycles, providing four total fills per participant. Throughout filling, 3-dimensional (3-D) ultrasound images were recorded at 5-minute intervals. Perimeters were manually traced in six cross-sectional planes 30° apart using GE 4D-View software. Diameters, perimeters and cross-sectional areas for the transverse, sagittal and coronal planes were interpolated at three standard bladder volumes of 200, 300, and 400mL. To quantify repeatability, intraclass correlation coefficients (ICCs) and normalized mean absolute differences were calculated for each metric at each standard volume. Moderate and good repeatability were defined as ICC ≥0.5 and ICC ≥0.75, respectively.
Results: Data from 16 healthy volunteers (9 females, 7 males) were analyzed. ICCs for the transverse vertical and horizontal diameters showed good repeatability, and five of nine perimeter ICCs showed moderate or good repeatability. The mean absolute difference/mean ratio was ≤4% for all perimeter measurements, indicating repeatability was consistent for multiple fills and visits.
Conclusion: Initial evidence indicates that bladder shape metrics are relatively repeatable and therefore feasible to pursue as a non-invasive tool for potential evaluation of bladder function.
© 2022 Maddra et al.

Entities:  

Keywords:  non-invasive; overactive bladder; ultrasound imaging; urinary bladder

Year:  2022        PMID: 35572816      PMCID: PMC9091689          DOI: 10.2147/RRU.S351347

Source DB:  PubMed          Journal:  Res Rep Urol        ISSN: 2253-2447


Introduction

The pressure-flow urodynamics study (UDS) is the standard technique for objectively evaluating bladder filling and voiding function/dysfunction.1 UDS uses invasive catheters for pressure measurements and is uncomfortable and causes anxiety in many patients.2 UDS also carries a risk of urinary tract infection and other adverse events.3,4 As a result, there is a significant need for non-invasive techniques to supplement and/or improve conventional UDS for the assessment and improved phenotyping of disorders of bladder filling and voiding.5 Ultrasound (US) imaging provides a non-invasive and cost-effective technique for bladder evaluation. Transabdominal US is the standard technique for measuring post void residual volumes6 and has been used to quantify increased bladder wall thickness associated with bladder outlet obstruction.7 Recent studies indicate that US-based bladder shape analysis may be useful for the assessment of overactive bladder (OAB).8–10 Glass Clark et al used 3-D US imaging to quantify bladder height-to-width ratios in a group of women with OAB and a control group of age and body-mass-index-matched women without OAB.8 They found that bladder shapes for 5/11 women with OAB were outside the 95% confidence intervals for the control group, potentially identifying an OAB subgroup with irregular bladder shapes.8 In a subsequent study, Li et al developed a sagittal perimeter nomogram that identified irregular bladder shapes in 6/24 women with OAB and found an association between irregular bladder shape and OAB.9 Furthermore, Gray et al used US-derived 2-dimensional transverse bladder images to estimate bladder sphericity during filling and found that increased sphericity was associated with non-voiding bladder contractions,10 which are identified during UDS in some individuals with OAB.11 In these previous studies, US-derived bladder shape metrics were determined by either manually tracing the bladder perimeters in multiple planes8,9 or inscribing and circumscribing the transverse image of the bladder perimeter with ellipses.10 For these bladder shape diagnostics to be clinically relevant, the measurements must be sufficiently repeatable. The objective of the present study was to assess the repeatability of bladder shape metrics from transabdominal US images obtained from both sequential bladder fill-void cycles and multiple clinic visits.

Materials and Methods

Participants

Adults over the age of 21 years without OAB or any other reported lower urinary tract symptoms completed informed consent and were prospectively enrolled in an accelerated oral hydration study, which was approved by the Virginia Commonwealth University Institutional Review Board and in compliance with the Declaration of Helsinki. The absence of OAB was based on question 5a (“Do you have to rush to the toilet to urinate?”) of the International Consultation on Incontinence questionnaire on OAB (ICIq−OAB).12 Only participants scoring 0 (“never”) were included in the study. Participants also had to confirm lack of any other lower urinary tract symptoms or any medical conditions or use of any medications affecting bladder function. Participant demographics and body mass index (BMI) were also recorded.

Hydration Protocol with US

The oral hydration study consisted of two consecutive bladder fill-empty cycles as illustrated in Figure 1 and as previously described.13–16 The study was performed during two visits, approximately one week apart, providing data for a total of four fills per participant. During the first fill of each visit, participants were instructed to drink two liters of G2 Gatorade as quickly as possible (Figure 1, Fill 1). Participants were given a tablet-based sensation meter and were instructed to record their sensation during bladder filling (Figure 1, Fill 1).13–16 When participants reached 100% bladder sensation, they were instructed to void in a private bathroom. Upon returning, the sensation meter was reset to start the second bladder fill cycle of the visit (Figure 1, Fill 2). Participants again recorded their bladder sensation and were able to void once they reached 100% sensation a second time. Approximately one week later, participants returned and repeated the same protocol. During each fill, transabdominal US images of the bladder were obtained every 5 minutes (Figure 1) using a GE VolusonTM E8 system (Madison, WI) with a 3-D convex 4–8.5 MHz transducer.
Figure 1

Experimental oral hydration protocol, with two fill-void cycles from 0% to 100% sensation as measured by the sensation meter and ultrasound (US) images collected every 5 minutes.

Experimental oral hydration protocol, with two fill-void cycles from 0% to 100% sensation as measured by the sensation meter and ultrasound (US) images collected every 5 minutes.

Bladder US Image Analysis

As described in previous studies,8,9,17,18 bladder US images were analyzed using GE 4DView software (Figure 2).19 Beginning with the transverse plane, bladder perimeters were manually traced in six cross-sectional planes, each 30° apart (Figure 2A and B), and then the perimeter in each plane was manually refined (Figure 2C). Next, 1) bladder diameters, 2) cross-sectional areas and perimeters (transverse, sagittal and coronal planes), and 3) estimated bladder volumes were measured and recorded using the GE 4D-View software (Table 1). These measurements were then linearly interpolated to standard bladder volumes of 200, 300, and 400mL to allow for comparison across multiple fills and visits (Table 1).
Figure 2

Bladder shape tracing example using GE 4DView software. Transverse (A1), sagittal (A2), coronal (A3) and rendered 3-D model (A4). Transverse plane was traced manually (A1) and repeated in six cross-sectional planes 30° apart (B1–B6) corresponding to the lines on the coronal plane (A3). Then the traced perimeter was manually refined (C), where the yellow arrows show locations and directions of refinements for a particular plane.

Table 1

Example of Interpolation of Shape Metrics to a Standard Volume of 200mL

DiametersPerimetersCross-Sectional Areas
Volume (mL)Transverse HorizontalTransverse VerticalSagittal HorizontalTransverseSagittalCoronalTransverseSagittalCoronal
174.15.907.546.0324.8822.1920.1042.4031.0629.54
2006.307.855.9326.7522.8921.1048.4632.5432.53
216.36.558.045.8727.9323.3321.7352.2733.4734.41

Note: Green = interpolated value at 200mL (bold).

Example of Interpolation of Shape Metrics to a Standard Volume of 200mL Note: Green = interpolated value at 200mL (bold). Bladder shape tracing example using GE 4DView software. Transverse (A1), sagittal (A2), coronal (A3) and rendered 3-D model (A4). Transverse plane was traced manually (A1) and repeated in six cross-sectional planes 30° apart (B1–B6) corresponding to the lines on the coronal plane (A3). Then the traced perimeter was manually refined (C), where the yellow arrows show locations and directions of refinements for a particular plane.

Statistical Analysis

Established methods for assessing the reliability of imaging methods,20 including the repeatability of pelvic ultrasound images,21 were implemented. The intraclass correlation coefficient (ICC) with 95% confidence intervals was calculated across four fills for the diameters, perimeters and cross-sectional areas at each standard volume based on a two-way random effect model and absolute agreement (Table 2). Moderate repeatability was defined as ICC ≥ 0.5 and good was defined as ICC ≥ 0.75, as previously described.21 In addition, the normalized mean absolute difference (MAD) was calculated for each shape metric (mean absolute difference of the group/mean of the group, Table 3).20 Pearson correlations were calculated to quantify the relationships between the ICCs and MADs for the diameters, perimeters, and cross-sectional areas. A power analysis determined that a sample size of 10 participants with four observations would achieve 96% power to detect an ICC ≥ 0.5.
Table 2

Interclass Correlation Coefficients (ICCs) for the Shape Metrics at Each Standard Volume (Bold Values)

Diameters
Volume (mL)Transverse HorizontalTransverse VerticalSagittal Horizontal
2000.78 (0.57–0.93)0.84 (0.66–0.95)0.24 (−0.02–0.62)
3000.79 (0.58–0.92)0.85 (0.69–0.95)0.50 (0.22–0.79)
4000.71 (0.44–0.91)0.82 (0.62–0.95)0.21 (−0.07–0.62)
Perimeters
Volume (mL)TransverseSagittalCoronal
2000.52 (0.22–0.81)0.2 (−0.05–0.59)0.48 (0.17–0.78)
3000.40 (0.10–0.73)0.42 (0.14–0.74)0.69 (0.44–0.88)
4000.6 (0.30–0.86)0.64 (0.34–0.88)0.81 (0.59–0.94)
Cross-Sectional Areas
Volume (mL)TransverseSagittalCoronal
2000.46 (0.15–0.77)0.4 (0.12–0.74)0.5 (0.19–0.80)
3000.34 (0.06–0.68)0.67 (0.42–0.87)0.77 (0.59–0.92)
4000.59 (0.29–0.85)0.72 (0.46–0.91)0.85 (0.68–0.96)

Notes: ICC (95% confidence interval), green = ICC ≥ 0.05.

Table 3

Normalized Mean Absolute Differences (MADs) for the Shape Metrics at Each Standard Volume (Bold Values)

Diameters
Volume (mL)Transverse HorizontalTransverse VerticalSagittal Horizontal
2005%7%8%
3004%5%5%
4004%4%4%
Perimeters
Volume (mL)TransverseSagittalCoronal
2004%3%4%
3003%3%3%
4003%2%2%
Cross-Sectional Areas
Volume (mL)TransverseSagittalCoronal
2008%6%8%
3007%4%5%
4005%4%4%

Note: Green = MAD ≤ 5%.

Interclass Correlation Coefficients (ICCs) for the Shape Metrics at Each Standard Volume (Bold Values) Notes: ICC (95% confidence interval), green = ICC ≥ 0.05. Normalized Mean Absolute Differences (MADs) for the Shape Metrics at Each Standard Volume (Bold Values) Note: Green = MAD ≤ 5%.

Results

Data from 16 healthy participants (9 women and 7 men) were analyzed. ICIq-OAB scores on question 5a were all 0, confirming the absence of urinary urgency symptoms. The average age of the participants was 24.7±1.4 years, and the average BMI was 24.9±1.3 kg/m2. Figure 3 shows an example of 3-D US images and rendered volumes for a bladder at similar volumes from two clinic visits that were one week apart.
Figure 3

Example of 3-D ultrasound images and rendered models of a bladder at similar volumes ((A) 299.2mL, (B) 308.2mL) from two visits one week apart.

Example of 3-D ultrasound images and rendered models of a bladder at similar volumes ((A) 299.2mL, (B) 308.2mL) from two visits one week apart. Table 2 shows the ICC values at 200, 300, and 400mL (n=11, 12, 10, respectively). ICCs for 18 of 27 of the shape metrics showed moderate or good repeatability (Table 2, green shading, ICC ≥ 0.5). Table 3 shows MADs for the four fills. The MADs were ≤4% for 21/29 (72.4%) shape metrics, including all 9/9 (100%) perimeter measurements (Table 3, green shading), and all MADs were 8% or less. In addition, the ICCs and the MADs were correlated in Figure 4. Despite limited numbers for these correlations (Figure 4, 9 points in each graph), the diameters, perimeters and cross-sectional areas demonstrated negative Pearson correlations (−0.26, −0.44, and −0.78, respectively), as expected, and the correlation for the cross-sectional areas was statistically significant (Figure 4C, *p=0.014). Together, the ICCs and MADs in Tables 2 and 3 and Figure 4 indicate that the repeatability of bladder shape metrics, especially at higher volumes, were consistent through multiple fills and clinic visits.
Figure 4

Relationships between the Interclass Correlation Coefficients (ICCs) and the Mean Absolute Differences (MADs) for the bladder diameters (A), perimeters (B) and cross-sectional areas (C), with linear trend lines. Pearson correlations between the ICCs and MADs were calculated for each parameter. The *symbol indicates a significant correlation between the ICCs and the MADs for the cross-sectional areas in panel (C), (p=0.014).

Relationships between the Interclass Correlation Coefficients (ICCs) and the Mean Absolute Differences (MADs) for the bladder diameters (A), perimeters (B) and cross-sectional areas (C), with linear trend lines. Pearson correlations between the ICCs and MADs were calculated for each parameter. The *symbol indicates a significant correlation between the ICCs and the MADs for the cross-sectional areas in panel (C), (p=0.014).

Discussion

The results of this initial study indicate that bladder shape metrics measured from transabdominal 3-D US images are repeatable. The ICCs were typically greater and the MADs were consistently smaller at greater bladder volumes, indicating that bladder shape metrics may have greater repeatability at larger volumes. Furthermore, the perimeters had the smallest MADs across the range of standard volumes, and the cross-sectional areas had the best correlation between the ICCs and the MADs, indicating that these two-dimensional parameters may be more feasible for clinical applications than the one-dimensional diameters. The present results are consistent with a previous study that showed repeatability of translabial US measures of functional pelvic floor anatomy.21 Another study showed that US-derived bladder wall thickness measurements were not repeatable,22 but bladder wall thickness measurements of only a few millimeters are relatively small compared to bladder perimeter measurements, which are several centimeters for the volumes analyzed in this study. The current inability to accurately phenotype the pathophysiology involved in some disorders of bladder filling and voiding likely contributes to the dissatisfaction many patients report with available medical therapies, including intolerable side effects and lack of efficacy.23,24 As such, US imaging has the potential to become a quicker, less invasive, and more cost-effective diagnostic tool for evaluating patients with disorders of bladder filling and voiding. Importantly, it provides additional objective data regarding an individual’s bladder geometry which is not obtained using current UDS technology. Previous studies have shown that some individuals with OAB may have irregular bladder shapes during filling;8,9 however, additional studies are needed to assess the repeatability of bladder shape metrics in individuals with OAB and other forms of bladder filling and voiding dysfunction. Another study showed that bladder shape may change during non-voiding contractions,10 and non-voiding contractions are known to occur in some individuals without OAB.25,26 The present study did not include bladder pressure measurements, so the presence of non-voiding contractions was not assessed. However, bladder shape changes due to non-voiding contractions in some fills but not others would be expected to decrease the repeatability of the measurements. UDS does not currently allow for the evaluation of bladder geometry or detrusor wall tension. Detrusor wall tension likely has a significant role in the pathophysiology of OAB in some patients.27 Detrusor smooth muscle cells are in series with tension-sensitive afferent nerves in the bladder wall.28 Ideally, the bladder would expand uniformly so that tension would be distributed evenly throughout the bladder wall. Acute or chronic deviations in one’s bladder geometry could create areas of increased wall tension, and potentially contribute to the sensation of heightened urgency.29–31 Limitations of the present study include the small sample size and the use of volunteers without disorders of bladder filling and voiding; however, our power analysis demonstrated adequate numbers. Another potential limitation of the present study was the use of multiple observers to measure the bladder metrics, but there was only one observer per image, so inter-rater repeatability could not be assessed. Future studies enrolling participants with and without OAB and other disorders of bladder filling as well as multiple observers for each US image are needed to comprehensively demonstrate the repeatability of bladder shape metrics.

Conclusion

This study provides initial evidence that ultrasound-based bladder shape diagnostics may be sufficiently repeatable for multiple fills and clinic visits, especially at higher volumes. Future comparative studies will be necessary for potential incorporation of US-based bladder shape diagnostics into non-invasive phenotyping of OAB and other disorders of bladder filling.

Abbreviations

3-D, 3-dimensional; BMI, body mass index; ICC, interclass correlation coefficient; ICIq, International Consultation on Incontinence questionnaire; MAD, mean absolute difference; OAB, overactive bladder; UDS, urodynamics study; US, ultrasound.
  30 in total

1.  The Burden of Overactive Bladder on US Public Health.

Authors:  W Stuart Reynolds; Jay Fowke; Roger Dmochowski
Journal:  Curr Bladder Dysfunct Rep       Date:  2016-01-23

2.  Bladder volume correction factors measured with 3D ultrasound and BladderScan.

Authors:  Naomi N Vinod; Anna S Nagle; Hameeda A Naimi; Hiren Kolli; Derek Sheen; Naveen Nandanan; Laura R Carucci; John E Speich; Adam P Klausner
Journal:  Can J Urol       Date:  2019-08       Impact factor: 1.344

3.  The effect of urinary bladder shape on its mechanics during filling.

Authors:  M S Damaser; S L Lehman
Journal:  J Biomech       Date:  1995-06       Impact factor: 2.712

4.  Quantification of bladder wall biomechanics during urodynamics: A methodologic investigation using ultrasound.

Authors:  Anna S Nagle; Adam P Klausner; Jary Varghese; Rachel J Bernardo; Andrew F Colhoun; Robert W Barbee; Laura R Carucci; John E Speich
Journal:  J Biomech       Date:  2017-08-12       Impact factor: 2.712

5.  Female urodynamics and lower urinary tract infection.

Authors:  I Okorocha; G Cumming; I Gould
Journal:  BJU Int       Date:  2002-06       Impact factor: 5.588

6.  A comparison of anticipatory and postprocedure pain perception in patients who undergo urodynamic procedures.

Authors:  R Mark Ellerkmann; Andrew W McBride; James S Dunn; Alfred E Bent; Joan L Blomquist; Lorrel G Kummer; Clifford F Melick
Journal:  Am J Obstet Gynecol       Date:  2004-04       Impact factor: 8.661

7.  Non-invasive characterization of real-time bladder sensation using accelerated hydration and a novel sensation meter: An initial experience.

Authors:  Anna S Nagle; John E Speich; Stefan G De Wachter; Peter P Ghamarian; David M Le; Andrew F Colhoun; Paul H Ratz; Robert W Barbee; Adam P Klausner
Journal:  Neurourol Urodyn       Date:  2016-09-21       Impact factor: 2.696

Review 8.  Pathophysiology of overactive bladder.

Authors:  Franklin M Chu; Roger Dmochowski
Journal:  Am J Med       Date:  2006-03       Impact factor: 4.965

9.  Use of Ultrasound Urodynamics to Identify Differences in Bladder Shape Between Individuals With and Without Overactive Bladder.

Authors:  Stephanie Glass Clark; Anna S Nagle; Rachel Bernardo; Naomi Vinod; Laura Carucci; Ashley Carroll; John Speich; Adam P Klausner
Journal:  Female Pelvic Med Reconstr Surg       Date:  2020-10       Impact factor: 2.091

Review 10.  Essentials of Statistical Methods for Assessing Reliability and Agreement in Quantitative Imaging.

Authors:  Arash Anvari; Elkan F Halpern; Anthony E Samir
Journal:  Acad Radiol       Date:  2017-12-11       Impact factor: 3.173

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