Imaging canine urocystoliths. Detection and prediction of mineral content.

Daniel A Feeney; R. C. Weichselbaum; C. R. Jessen; Carl A Osborne

doi:10.1016/S0195-5616(99)50005-3

Imaging canine urocystoliths. Detection and prediction of mineral content.

Daniel A Feeney, R. C. Weichselbaum, C. R. Jessen, Carl A Osborne

Veterinary Clinical Sciences

Research output: Contribution to journal › Review article › peer-review

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Abstract

The role of survey radiography, contrast radiography, and ultrasonography in the assessment of urocystolithiasis has been primarily one of detection. Information about the radiographic characteristics of uroliths (size, shape, radiopacity, surface characteristics, number detected) for characterization and diagnosis of urocystolithiasis is emerging; however, there are no studies on the accuracy or sensitivity of these techniques. In this article, the intent is to update knowledge about available imaging techniques used in the detection and characterization of urocystoliths based on recent studies designed to evaluate their accuracy in prediction of different urocystoliths mineral content.

Original language	English (US)
Pages (from-to)	59-72, x-xi
Journal	The Veterinary clinics of North America. Small animal practice
Volume	29
Issue number	1
DOIs	https://doi.org/10.1016/S0195-5616(99)50005-3
State	Published - Jan 1999

Bibliographical note

Funding Information:
This study was supported, in part, by grants from the Morris Animal Foundation (Denver, CO) and Hill's Pet Nutrition (Topeka, KS).

Copyright:
This record is sourced from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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10.1016/S0195-5616(99)50005-3

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title = "Imaging canine urocystoliths. Detection and prediction of mineral content.",

abstract = "The role of survey radiography, contrast radiography, and ultrasonography in the assessment of urocystolithiasis has been primarily one of detection. Information about the radiographic characteristics of uroliths (size, shape, radiopacity, surface characteristics, number detected) for characterization and diagnosis of urocystolithiasis is emerging; however, there are no studies on the accuracy or sensitivity of these techniques. In this article, the intent is to update knowledge about available imaging techniques used in the detection and characterization of urocystoliths based on recent studies designed to evaluate their accuracy in prediction of different urocystoliths mineral content.",

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AU - Jessen, C. R.

AU - Osborne, Carl A

N1 - Funding Information: This study was supported, in part, by grants from the Morris Animal Foundation (Denver, CO) and Hill's Pet Nutrition (Topeka, KS). Copyright: This record is sourced from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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N2 - The role of survey radiography, contrast radiography, and ultrasonography in the assessment of urocystolithiasis has been primarily one of detection. Information about the radiographic characteristics of uroliths (size, shape, radiopacity, surface characteristics, number detected) for characterization and diagnosis of urocystolithiasis is emerging; however, there are no studies on the accuracy or sensitivity of these techniques. In this article, the intent is to update knowledge about available imaging techniques used in the detection and characterization of urocystoliths based on recent studies designed to evaluate their accuracy in prediction of different urocystoliths mineral content.

AB - The role of survey radiography, contrast radiography, and ultrasonography in the assessment of urocystolithiasis has been primarily one of detection. Information about the radiographic characteristics of uroliths (size, shape, radiopacity, surface characteristics, number detected) for characterization and diagnosis of urocystolithiasis is emerging; however, there are no studies on the accuracy or sensitivity of these techniques. In this article, the intent is to update knowledge about available imaging techniques used in the detection and characterization of urocystoliths based on recent studies designed to evaluate their accuracy in prediction of different urocystoliths mineral content.

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Imaging canine urocystoliths. Detection and prediction of mineral content.

Abstract

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