Literature DB >> 26797359

Clinical Effectiveness of Prospectively Reported Sonographic Twinkling Artifact for the Diagnosis of Renal Calculus in Patients Without Known Urolithiasis.

William R Masch1, Richard H Cohan1,2, James H Ellis1,2, Jonathan R Dillman1,3, Jonathan M Rubin1,2, Matthew S Davenport1,2,4.   

Abstract

OBJECTIVE: The purpose of this study was to determine the clinical effectiveness of prospectively reported sonographic twinkling artifact for the diagnosis of renal calculus in patients without known urolithiasis.
MATERIALS AND METHODS: All ultrasound reports finalized in one health system from June 15, 2011, to June 14, 2014, that contained the words "twinkle" or "twinkling" in reference to suspected renal calculus were identified. Patients with known urolithiasis or lack of a suitable reference standard (unenhanced abdominal CT with ≤ 2.5-mm slice thickness performed ≤ 30 days after ultrasound) were excluded. The sensitivity, specificity, and positive likelihood ratio of sonographic twinkling artifact for the diagnosis of renal calculus were calculated by renal unit and stratified by two additional diagnostic features for calcification (echogenic focus, posterior acoustic shadowing).
RESULTS: Eighty-five patients formed the study population. Isolated sonographic twinkling artifact had sensitivity of 0.78 (82/105), specificity of 0.40 (26/65), and a positive likelihood ratio of 1.30 for the diagnosis of renal calculus. Specificity and positive likelihood ratio improved and sensitivity declined when the following additional diagnostic features were present: sonographic twinkling artifact and echogenic focus (sensitivity, 0.61 [64/105]; specificity, 0.65 [42/65]; positive likelihood ratio, 1.72); sonographic twinkling artifact and posterior acoustic shadowing (sensitivity, 0.31 [33/105]; specificity, 0.95 [62/65]; positive likelihood ratio, 6.81); all three features (sensitivity, 0.31 [33/105]; specificity, 0.95 [62/65]; positive likelihood ratio, 6.81).
CONCLUSION: Isolated sonographic twinkling artifact has a high false-positive rate (60%) for the diagnosis of renal calculus in patients without known urolithiasis.

Entities:  

Keywords:  artifact; calculus; false-positive; twinkling; urolithiasis

Mesh:

Year:  2016        PMID: 26797359     DOI: 10.2214/AJR.15.14998

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  17 in total

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2.  The usefulness of agent emission imaging - high mechanical index ultrasound mode in the diagnosis of urolithiasis: a prospective preliminary study.

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3.  The role of trapped bubbles in kidney stone detection with the color Doppler ultrasound twinkling artifact.

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4.  Quantification of Renal Stone Contrast with Ultrasound in Human Subjects.

Authors:  Bryan W Cunitz; Jonathan D Harper; Mathew D Sorensen; Yasser A Haider; Jeff Thiel; Philip C May; Ziyue Liu; Michael R Bailey; Barbrina Dunmire; Matthew Bruce
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5.  Detecting Kidney Stones Using Twinkling Artifacts: Survey of Kidney Stones with Varying Composition and Size.

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Review 6.  Imaging in the diagnosis of pediatric urolithiasis.

Authors:  Gabrielle C Colleran; Michael J Callahan; Harriet J Paltiel; Caleb P Nelson; Bartley G Cilento; Michelle A Baum; Jeanne S Chow
Journal:  Pediatr Radiol       Date:  2016-11-04

7.  Acoustic shadowing in pediatric kidney stone ultrasound: a retrospective study with non-enhanced computed tomography as reference standard.

Authors:  Martijn V Verhagen; Tom A Watson; Melissa Hickson; Naima Smeulders; Paul D Humphries
Journal:  Pediatr Radiol       Date:  2019-03-14

8.  Some Work on the Diagnosis and Management of Kidney Stones with Ultrasound.

Authors:  Julianna C Simon; Adam D Maxwell; Michael R Bailey
Journal:  Acoust Today       Date:  2017

9.  Evidence of Microbubbles on Kidney Stones in Humans.

Authors:  Julianna C Simon; James R Holm; Jeffrey Thiel; Barbrina Dunmire; Bryan W Cunitz; Michael R Bailey
Journal:  Ultrasound Med Biol       Date:  2020-04-01       Impact factor: 2.998

10.  Comparison of ultrasound versus computed tomography for the detection of kidney stones in the pediatric population: a clinical effectiveness study.

Authors:  Nathaniel P Roberson; Jonathan R Dillman; Sara M O'Hara; William R DeFoor; Pramod P Reddy; Richard M Giordano; Andrew T Trout
Journal:  Pediatr Radiol       Date:  2018-02-23
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