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Accuracy of Ex Vivo Semiautomatic Segmentation of Urinary Stone Size in Computed Tomography Compared With Manual Size Estimation in Radiographic Correlation

Authors :
Zhentian Wang
Tilo Niemann
Kurt Lehmann
Marco Stampanoni
Lukas Hefermehl
Rahel A. Kubik-Huch
Iwan Jerjen
Source :
Urology. 123:70-75
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Objective To evaluate the accuracy of semiautomated segmentation of urinary stone size in computed tomography (CT) compared with manual measurement. Materials and Methods A total of 103 patients (32f, 71m ; mean age 52 years±18 that were diagnosed with urolithiasis and collected stones received standardized ex vivo CT-scans and radiography of the stones. Stone size was segmented semiautomatically using commercial software (syngo.via, Siemens, Germany) and compared with manual caliper measurement on digital radiography. Results Mean size was 4.4 mm in CT and 4.6 mm in radiography. Depending on number of stones analyzed per patient, estimation of stone size showed moderate to excellent correlation for both methods. There was no significant difference in overall size measurement. Conclusion Semiautomatic segmentation of urinary stone size in CT is possible and reduces measurement errors, allowing more precise estimation especially for smaller concrements. Neighboring stones may hamper segmentation of stone size.

Details

ISSN :
00904295
Volume :
123
Database :
OpenAIRE
Journal :
Urology
Accession number :
edsair.doi...........6e085d3388c47e10c25197c20474ef55
Full Text :
https://doi.org/10.1016/j.urology.2018.06.044