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1.
Urology ; 123: 75, 2019 01.
Article in English | MEDLINE | ID: mdl-30598227
2.
Urology ; 123: 70-75, 2019 01.
Article in English | MEDLINE | ID: mdl-30076939

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.


Subject(s)
Tomography, X-Ray Computed , Urinary Calculi/diagnostic imaging , Urinary Calculi/pathology , Dimensional Measurement Accuracy , Female , Humans , Male , Middle Aged , Radiographic Image Enhancement , Reproducibility of Results , Retrospective Studies
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