Previous studies have shown overestimation of kidney stone size in ultrasound images. We explored measuring the stone's acoustic shadow as a predictor of stone size. Forty-five calcium oxalate monohydrate (COM) kidney stones ranging from 1 to 10 mm were imaged in a water bath using a research-based ultrasound system and C5-2 transducer. Stones were imaged at depths of 6, 10, and 14 cm. The widths across the stone image and across acoustic shadow distal to the stone image were measured by the operator and through an automated algorithm. Measuring size across the stone image consistently overestimated: overestimation was 0.9±0.8 mm, 1.5±1.0 mm, 2.0±1.2 mm (manual) and 0.5±1.7 mm, 0.4±1.5 mm, 0.8±1.1 mm (automated) at 6, 10, and 14 cm depths. Measurement of the acoustic shadow width more accurately estimated stone size: 0.0±0.4 mm, 0.0±0.6 mm, and-0.2±0.8 mm (manual) and 0.2±0.5 mm, 0.1±0.8 mm, and 0.1±1.0 mm (automated) at 6, 10, and 14 cm depths. Measurement from the shadow reduced misclassification of passable stones <5 mm to requiring surgery >5 mm from 25% to 7%. The results have implications for directing treatment of asymptomatic stones based on ultrasound images. [Work supported by NIH DK043881, DK092197, and NSBRI through NASA NCC 9-58.]
Skip Nav Destination
,
,
,
,
,
,
Article navigation
April 2014
Meeting abstract. No PDF available.
April 01 2014
Ultrasound acoustic shadow width is an accurate predictor of kidney stone size
Franklin C. Lee;
Franklin C. Lee
Dept. of Urology, Univ. of Washington School of Medicine, Seattle, WA
Search for other works by this author on:
Barbrina Dunmire;
Barbrina Dunmire
Ctr. Industrial and Medical Ultrasound, Appl. Phys. Lab, Univ. of Washington, Seattle, WA
Search for other works by this author on:
Jonathan D. Harper;
Jonathan D. Harper
Dept. of Urology, Univ. of Washington School of Medicine, Seattle, WA
Search for other works by this author on:
Bryan W. Cunitz;
Bryan W. Cunitz
Ctr. Industrial and Medical Ultrasound, Appl. Phys. Lab, Univ. of Washington, 1013 NE 40th St., Seattle, WA 98105, [email protected]
Search for other works by this author on:
Marla Paun;
Marla Paun
Ctr. Industrial and Medical Ultrasound, Appl. Phys. Lab, Univ. of Washington, 1013 NE 40th St., Seattle, WA 98105, [email protected]
Search for other works by this author on:
Michael Bailey;
Michael Bailey
Ctr. Industrial and Medical Ultrasound, Appl. Phys. Lab, Univ. of Washington, 1013 NE 40th St., Seattle, WA 98105, [email protected]
Search for other works by this author on:
Mathew D. Sorensen
Mathew D. Sorensen
Dept. of Urology, Univ. of Washington School of Medicine, Seattle, WA
Search for other works by this author on:
Franklin C. Lee
Barbrina Dunmire
Jonathan D. Harper
Bryan W. Cunitz
Marla Paun
Michael Bailey
Mathew D. Sorensen
Dept. of Urology, Univ. of Washington School of Medicine, Seattle, WA
J. Acoust. Soc. Am. 135, 2267 (2014)
Citation
Franklin C. Lee, Barbrina Dunmire, Jonathan D. Harper, Bryan W. Cunitz, Marla Paun, Michael Bailey, Mathew D. Sorensen; Ultrasound acoustic shadow width is an accurate predictor of kidney stone size. J. Acoust. Soc. Am. 1 April 2014; 135 (4_Supplement): 2267. https://doi.org/10.1121/1.4877431
Download citation file:
92
Views
Citing articles via
Focality of sound source placement by higher (ninth) order ambisonics and perceptual effects of spectral reproduction errors
Nima Zargarnezhad, Bruno Mesquita, et al.
Speed-dependent directivity patterns of road-traffic vehicles
Christian Dreier, Michael Vorländer
Related Content
Fragmentation of kidney stones in vitro by focused ultrasound bursts without shock waves
J. Acoust. Soc. Am. (November 2013)
Acoustic radiation force to reposition kidney stones in humans
J. Acoust. Soc. Am. (April 2015)
Color-Doppler ultrasound imaging of in situ human kidney stones in a hyperbaric chamber
J. Acoust. Soc. Am. (October 2016)
An ultrasound system to identify and characterize kidney stones
J. Acoust. Soc. Am. (November 2013)
Thresholds for sustained bubble cloud generation in burst wave lithotripsy
J. Acoust. Soc. Am. (October 2016)