Evidence map›Paper›PMID 34300632›Full record

ArticleSensors (Basel, Switzerland)2021

Novel Three-Dimensional Bladder Reconstruction Model from B-Mode Ultrasound Image to Improve the Accuracy of Bladder Volume Measurement.

Meng-Lin Chang, Hsiao-Chi Li, Chang-Keng Liu, Han-Sun Chiang, Chien-Chang Hsu

Abstract read
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Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

5 authors.

Meng-Lin ChangDepartment of Urology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei 24352, Taiwan.
Hsiao-Chi LiDepartment of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei 242062, Taiwan.ORCID 0000-0003-4527-9730
Chang-Keng LiuGraduate Institute of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei 242062, Taiwan.
Han-Sun ChiangDepartment of Urology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei 24352, Taiwan.
Chien-Chang HsuDepartment of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei 242062, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional bladder volume measurement from B-mode (two-dimensional) ultrasound has been found to produce inaccurate results, and thus in this work we aim to improve the accuracy of measurement from B-mode ultrasound. A total of 75 electronic medical records including ultrasonic images were reviewed retrospectively from 64 patients. We put forward a novel bladder volume measurement method, in which a three-dimensional (3D) reconstruction model was established from conventional two-dimensional (2D) ultrasonic images to estimate the bladder volume. The differences and relationships were analyzed among the actual volume, the traditional estimated volume, and the new reconstruction model estimated volume. We also compared the data in different volume groups from small volume to high volume. The mean actual volume is 531.8 mL and the standard deviation is 268.7 mL; the mean percentage error of traditional estimation is -28%. In our new bladder measurement method, the mean percentage error is -10.18% (N = 2), -4.72% (N = 3), -0.33% (N = 4), and 2.58% (N = 5). There is no significant difference between the actual volume and our new bladder measurement method (N = 4) in all data or the divided four groups. The estimated volumes from the traditional method or our new method are highly correlated with the actual volume. Our data show that the three-dimensional bladder reconstruction model provides an accurate measurement from conventional B-mode ultrasonic images compared with the traditional method. The accuracy is seen across different groups of volume, and thus we can conclude that this is a reliable and economical volume measurement model that can be applied in general software or in apps on mobile devices.

Indexed as

SoftwareUrinary BladderHumansImage Processing, Computer-AssistedImaging, Three-DimensionalRetrospective StudiesUltrasonographyalgorithmsbladdercomputer-assisted image processingimagingpost-void residual urine (PVR)ultrasound

Identifiers

PMID34300632
PMCPMC8309711

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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.