ArticlePloS one2019
Development and evaluation of automated ultrasonographic detection of bladder diameter for estimation of bladder urine volume.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study.Neurourology and urodynamics · 2025Trial
- Concurrent multi-session anodal trans-cranial direct current stimulation enhances pelvic floor muscle training effectiveness for female patients with multiple sclerosis suffering from urinary incontinence and pelvic floor dysfunction: a randomized clinical trial study.International urogynecology journal · 2023Trial
- A cross-shaped combined ultrasound array patch for continuous bladder volume monitoring.Photoacoustics · 2026Article
- Feasibility Study on Non-Invasive Methods for Bladder Biomechanics During Voiding Using Uro-Dynamic MRI.Bioengineering (Basel, Switzerland) · 2026Article
- Stroke-point-of-care ultrasound: a new holistic approach to bedside evaluation in stroke patients using ultrasound.European stroke journal · 2026Review
- Development of an automated ultrasonographic detection method for fecal retention using a transgluteal cleft approach.PloS one · 2025Article
- Evaluating Accuracy of Rectal Fecal Stool Assessment Using Transgluteal Cleft Approach Ultrasonography.Healthcare (Basel, Switzerland) · 2024Article
- Pelvic floor muscle contraction automatic evaluation algorithm for pelvic floor muscle training biofeedback using self-performed ultrasound.BMC women's health · 2024Article
- A-Mode Ultrasound Bladder Volume Estimation Algorithm Based on Wavelet Energy Ratio Adaptive Denoising.Sensors (Basel, Switzerland) · 2024Article
- Bladder ultrasound: evidence of content validity of a checklist for training nurses.Revista brasileira de enfermagem · 2024Article
- Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models.IEEE open journal of engineering in medicine and biology · 2024Article
- A Lightweight Deep Learning Network on a System-on-Chip for Wearable Ultrasound Bladder Volume Measurement Systems: Preliminary Study.Bioengineering (Basel, Switzerland) · 2023Article
- Article
- Portable Ultrasound Research System for Use in Automated Bladder Monitoring with Machine-Learning-Based Segmentation.Sensors (Basel, Switzerland) · 2021Article
- Forward-Looking Ultrasound Wearable Scanner System for Estimation of Urinary Bladder Volume.Sensors (Basel, Switzerland) · 2021Article
- A comprehensive survey on non-invasive wearable bladder volume monitoring systems.Medical & biological engineering & computing · 2021Review
- Novel Three-Dimensional Bladder Reconstruction Model from B-Mode Ultrasound Image to Improve the Accuracy of Bladder Volume Measurement.Sensors (Basel, Switzerland) · 2021Article
- Proposal of a Lab Bench for the Unobtrusive Monitoring of the Bladder Fullness with Bioimpedance Measurements.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder urine volume has been estimated using an ellipsoid method based on triaxial measurements of the bladder extrapolated from two-dimensional ultrasound images. This study aimed to automate this process and to determine the accuracy of the automated estimation method for normal and small amounts of urine. A training set of 81 pairs of transverse and longitudinal ultrasound images were collected from healthy volunteers on a tablet-type ultrasound device, and an automatic detection tool was developed using them. The tool was evaluated using paired transverse/longitudinal ultrasound images from 27 other healthy volunteers. After imaging, the participants voided and their urine volume was measured. For determining accuracy, regression coefficients were calculated between estimated bladder volume and urine volume. Further, sensitivity and specificity for 50 and 100 ml bladder volume thresholds were evaluated. Data from 50 procedures were included. The regression coefficient was very similar between the automatic estimation (β = 0.99, R2 = 0.96) and manual estimation (β = 1.05, R2 = 0.97) methods. The sensitivity and specificity of the automatic estimation method were 88.5% and 100.0%, respectively, for 100 ml and were 94.1% and 100.0%, respectively, for 50 ml. The newly-developed automated tool accurately and reliably estimated bladder volume at two different volume thresholds of approximately 50 ml and 100 ml.
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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.