Literature DB >> 23085059

Clinical effectiveness protocols for imaging in the management of ureteral calculous disease: AUA technology assessment.

Pat Fox Fulgham1, Dean G Assimos, Margaret Sue Pearle, Glenn M Preminger.   

Abstract

PURPOSE: This technology assessment addresses the optimal use of imaging in the evaluation and treatment of patients with suspected or documented ureteral stones.
MATERIALS AND METHODS: A comprehensive literature search addressing 4 guiding questions was performed for full text in English articles published between January 1990 and July 2011. The search focused on major subtopics associated with the imaging of ureteral calculi, and included specific imaging modalities used in the diagnosis and management of ureteral calculous disease such as unenhanced (noncontrast) computerized tomography, conventional radiography, ultrasound, excretory urography, magnetic resonance imaging and nuclear medicine studies. Protocols (in the form of decision tree algorithms) were developed based on this literature review and in some instances on panel opinion. The 4 questions addressed were 1) What imaging study should be performed for suspected ureteral calculous disease? 2) What information should be obtained? 3) After diagnosis of a ureteral calculus, what followup imaging should be used? 4) After treatment of a ureteral calculus, what followup imaging studies should be obtained?
RESULTS: Based on these protocols, noncontrast computerized tomography is recommended to establish the diagnosis in most cases, with a low energy protocol advocated if body habitus is favorable. Conventional radiography and ultrasound are endorsed for monitoring the passage of most radiopaque stones as well as for most patients undergoing stone removal. Other studies may be indicated based on imaging findings, and patient, stone and clinical factors.
CONCLUSIONS: The protocols generated assist the clinician in establishing the diagnosis of ureteral calculous disease, monitoring stone passage and following patients after treatment. The protocols take into account not only clinical effectiveness but also cost-effectiveness and risk/harm associated with the various imaging modalities.
Copyright © 2013 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23085059     DOI: 10.1016/j.juro.2012.10.031

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


  64 in total

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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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Authors:  Dawn S Milliner; Tracy L McGregor; Aliza Thompson; Bastian Dehmel; John Knight; Ralf Rosskamp; Melanie Blank; Sixun Yang; Sonia Fargue; Gill Rumsby; Jaap Groothoff; Meaghan Allain; Melissa West; Kim Hollander; W Todd Lowther; John C Lieske
Journal:  Clin J Am Soc Nephrol       Date:  2020-03-12       Impact factor: 8.237

Review 5.  Update of the ICUD-SIU consultation on stone technology behind ureteroscopy.

Authors:  Jonathan Cloutier; Ken Anson; Guido Giusti; Michael Grasso; Guido Kamphuis; Sven Lahme; Evangelos Liatsikos; Anup Patel; Margaret S Pearle; Luc Valiquette; Olivier Traxer
Journal:  World J Urol       Date:  2017-07-25       Impact factor: 4.226

6.  Bayesian comparative assessment of diagnostic accuracy of low-dose CT scan and ultrasonography in the diagnosis of urolithiasis after the application of the STONE score.

Authors:  Laila Cochon; Jeffrey Smith; Amado Alejandro Baez
Journal:  Emerg Radiol       Date:  2016-11-25

Review 7.  An overview of kidney stone imaging techniques.

Authors:  Wayne Brisbane; Michael R Bailey; Mathew D Sorensen
Journal:  Nat Rev Urol       Date:  2016-08-31       Impact factor: 14.432

Review 8.  Lifetime Radiation Exposure in Patients with Recurrent Nephrolithiasis.

Authors:  Mohamed A Elkoushy; Sero Andonian
Journal:  Curr Urol Rep       Date:  2017-09-12       Impact factor: 3.092

9.  Robustness of Textural Features to Predict Stone Fragility Across Computed Tomography Acquisition and Reconstruction Parameters.

Authors:  Taylor Moen; Andrea Ferrero; Cynthia McCollough
Journal:  Acad Radiol       Date:  2018-10-02       Impact factor: 3.173

10.  Determination of optimal imaging settings for urolithiasis CT using filtered back projection (FBP), statistical iterative reconstruction (IR) and knowledge-based iterative model reconstruction (IMR): a physical human phantom study.

Authors:  Se Y Choi; Seung H Ahn; Jae D Choi; Jung H Kim; Byoung-Il Lee; Jeong-In Kim; Sung B Park
Journal:  Br J Radiol       Date:  2015-11-18       Impact factor: 3.039

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