Literature DB >> 22014818

Automated renal stone volume measurement by noncontrast computerized tomography is more reproducible than manual linear size measurement.

Sutchin R Patel1, Paul Stanton, Nathan Zelinski, Edward J Borman, Myron A Pozniak, Stephen Y Nakada, Perry J Pickhardt.   

Abstract

PURPOSE: We compared the reproducibility of automated volume and manual linear measurements using same study supine and prone, low dose, noncontrast computerized tomography series.
MATERIALS AND METHODS: The patient cohort comprised 50 consecutive adults with a mean age of 56.4 years in whom renal calculi were identified during computerized tomography colonography screening. The largest stone per patient was assessed with the supine and prone computerized tomography series serving as mutual controls. Automated stone volume was derived using a commercially available coronary artery calcium scoring tool. Supine-prone reproducibility for automated volume was compared with intra-observer supine-prone manual linear measurement. Interobserver variability was also assessed for manual linear measurements of the same supine or prone series.
RESULTS: Mean ± SD linear size and volume of the 50 index calculi was 4.5 ± 2.7 mm (range 1.8 to 16) and 141.7 ± 456.1 mm(3), respectively. The mean supine-prone error for automated stone volume was 16.3% compared with an average 11.7% 1-dimensional intra-observer error for manual axial measurement. Only 2 of 15 cases with a volume error of greater than 20% were 5 mm or greater in linear size. The average interobserver linear error for the same computerized tomography series was 26.3% but automated volume measurement of the same series did not vary.
CONCLUSIONS: Automated noncontrast computerized tomography renal stone volume is more reproducible than manual linear size measurement and it avoids the often large interobserver variability seen with manual assessment. Since small linear differences correspond to much larger volume changes, greater absolute volume errors are acceptable. Automated volume measurement may be an improved clinical parameter to use for following the renal stone burden. Copyright Â
© 2011 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22014818     DOI: 10.1016/j.juro.2011.07.091

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  19 in total

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Journal:  Urolithiasis       Date:  2015-10-01       Impact factor: 3.436

2.  Consistency of Renal Stone Volume Measurements Across CT Scanner Model and Reconstruction Algorithm Configurations.

Authors:  Alice E Huang; Juan C Montoya; Maria Shiung; Shuai Leng; Cynthia H McCollough
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3.  Prospective trial of the detection of urolithiasis on ultralow dose (sub mSv) noncontrast computerized tomography: direct comparison against routine low dose reference standard.

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Journal:  J Urol       Date:  2014-05-21       Impact factor: 7.450

4.  Measurement of Posterior Acoustic Stone Shadow on Ultrasound Is a Learnable Skill for Inexperienced Users to Improve Accuracy of Stone Sizing.

Authors:  Jessica C Dai; Barbrina Dunmire; Ziyue Liu; Kevan M Sternberg; Michael R Bailey; Jonathan D Harper; Mathew D Sorensen
Journal:  J Endourol       Date:  2018-10-22       Impact factor: 2.942

5.  Computer-aided detection of renal calculi from noncontrast CT images using TV-flow and MSER features.

Authors:  Jianfei Liu; Shijun Wang; Evrim B Turkbey; Marius George Linguraru; Jianhua Yao; Ronald M Summers
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

6.  The Impact of Stone Multiplicity on Surgical Decisions for Patients with Large Stone Burden: Results from ReSKU.

Authors:  Samuel Zetumer; Scott Wiener; David B Bayne; Manuel Armas-Phan; Samuel L Washington; David T Tzou; Marshall Stoller; Thomas Chi
Journal:  J Endourol       Date:  2019-08-20       Impact factor: 2.942

7.  A novel method for prediction of stone composition: the average and difference of Hounsfield units and their cut-off values.

Authors:  Serdar Celik; Ertugrul Sefik; Ismail Basmacı; Ibrahim Halil Bozkurt; Mehmet Erhan Aydın; Tarık Yonguc; Tansu Degirmenci
Journal:  Int Urol Nephrol       Date:  2018-07-06       Impact factor: 2.370

8.  Does the nephrostomy tract length impact the outcomes of percutaneous nephrolithotomy (PNL)?

Authors:  Gaston M Astroza; Andreas Neisius; Matvey Tsivian; Agnes J Wang; Glenn M Preminger; Michael E Lipkin
Journal:  Int Urol Nephrol       Date:  2014-08-19       Impact factor: 2.370

9.  Quantification of asymptomatic kidney stone burden by computed tomography for predicting future symptomatic stone events.

Authors:  Michael G Selby; Terri J Vrtiska; Amy E Krambeck; Cynthia H McCollough; Hisham E Elsherbiny; Eric J Bergstralh; John C Lieske; Andrew D Rule
Journal:  Urology       Date:  2014-10-22       Impact factor: 2.649

Review 10.  Volumetric analysis at abdominal CT: oncologic and non-oncologic applications.

Authors:  Virginia B Planz; Meghan G Lubner; Perry J Pickhardt
Journal:  Br J Radiol       Date:  2018-11-30       Impact factor: 3.039

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