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John Kucewicz

Senior Engineer

Email

kucewicz@uw.edu

Phone

206-221-3283

Education

B.S. Computer Engineering, Texas A&M University, 1995

Ph.D. Bioengineering, University of Washington, 2004

Publications

2000-present and while at APL-UW

Facilitated clearance of small, asymptomatic renal stones with burst wave lithotripsy and ultrasonic propulsion

Harper, J.D., and 18 others including B. Dunmire, J. Thiel, Y.-N. Wang, S. Totten, J.C. Kucewicz, and M.R. Bailey, "Facilitated clearance of small, asymptomatic renal stones with burst wave lithotripsy and ultrasonic propulsion," J. Urol., 214, 41-47, doi:10.1097/JU.0000000000004533, 2025.

More Info

1 Jul 2025

We tested feasibility of burst wave lithotripsy (BWL) and ultrasonic propulsion to noninvasively fragment and expel small, asymptomatic renal stones in awake participants.

Adult patients suspected of having 2- to 7-mm stones were consented and screened for eligibility. BWL and ultrasonic propulsion were applied to up to 3 stones in 1 kidney of qualifying participants for a 30-minute total exposure. Participants completed a CT scan and the Wisconsin Stone Quality-of-Life (WISQOL) questionnaire within 90 days before and 120 days after the procedure. Participants were contacted weekly for 3 weeks after the procedure to assess adverse events (AEs). Outcomes included (1) no fragment > 2 mm, (2) unanticipated health care visits, (3) change in stone volume, (4) reported AEs, and (5) WISQOL score.

Forty-one participants were enrolled between April 2023 and October 2024. Twenty-one participants failed screening because no stones were seen, stones were too large or small, stone visibility was too deep or obstructed, or they declined to participate. Twenty participants with 31 stones received the research procedure with 7 undergoing a single repeat procedure. Twenty-two of 31 stones (71%) met the primary effectiveness outcome of no fragment > 2 mm, with 17 of 31 stones (55%) reported as stone free. Median stone volume reduction (IQR) was 100% (88%–100%). No participants returned unexpectedly for care related to the procedure. AEs were all Grade I by modified Clavien classification. WISQOL scores improved on 10 of 15 completed questionnaires.

Small, asymptomatic renal stones were effectively and safely removed in awake participants in a clinic setting.

Randomized controlled trial of ultrasonic propulsion-facilitated clearance of residual kidney stone fragments vs. observation

Sorensen, M.D., and 16 others including B. Dunmire, J. Thiel, B.W. Cunitz, J.C. Kucewicz, and M.R. Bailey, "Randomized controlled trial of ultrasonic propulsion-facilitated clearance of residual kidney stone fragments vs. observation," J. Urol., 212, 811-820, doi:10.1097/JU.0000000000004186, 2024.

More Info

1 Dec 2024

Ultrasonic propulsion is an investigational procedure for awake patients. Our purpose was to evaluate whether ultrasonic propulsion to facilitate residual kidney stone fragment clearance reduced relapse.

This multicenter, prospective, open-label, randomized, controlled trial used single block randomization (1:1) without masking. Adults with residual fragments (individually 5 mm or smaller) were enrolled. Primary outcome was relapse as measured by stone growth, a stone-related urgent medical visit, or surgery by 5 years or study end. Secondary outcomes were fragment passage within 3 weeks and adverse events within 90 days. Cumulative incidence of relapse was estimated using the Kaplan-Meier method. Log-rank test was used to compare the treatment (ultrasonic propulsion) and control (observation) groups.

The trial was conducted from May 9, 2015, through April 6, 2024. Median follow-up (interquartile range) was 3.0 (1.8–3.2) years. The treatment group (n = 40) had longer time to relapse than the control group (n = 42; P < .003). The restricted mean time-to-relapse was 52% longer in the treatment group than in the control group (1530 ± 92 days vs 1009 ± 118 days), and the risk of relapse was lower (hazard ratio 0.30, 95% CI 0.13–0.68) with 8 of 40 and 21 of 42 participants, respectively, experiencing relapse. Omitting 3 participants not asked about passage, 24 treatment (63%) and 2 control (5%) participants passed fragments within 3 weeks of treatment. Adverse events were mild, transient, and self-resolving, and were reported in 25 treated participants (63%) and 17 controls (40%).

Automated brain segmentation for guidance of ultrasonic transcranial tissue pulsatility image analysis

Leotta, D.F., J.C. Kucewicz, N. LaPiana, and P.D. Mourad, "Automated brain segmentation for guidance of ultrasonic transcranial tissue pulsatility image analysis," Neurosci. Inf., 3 doi:10.1016/j.neuri.2023.100146, 2023.

More Info

1 Dec 2023

Tissue pulsatility imaging is an ultrasonic technique that can be used to map regional changes in blood flow in the brain. Classification of regional differences in pulsatility signals can be optimized by restricting the analysis to brain tissue. For 2D transcranial ultrasound imaging, we have implemented an automated image analysis procedure to specify a region of interest in the field of view that corresponds to brain.

Our segmentation method applies an initial K-means clustering algorithm that incorporates both echo strength and tissue displacement to identify skull in ultrasound brain scans. The clustering step is followed by processing steps that use knowledge of the scan format and anatomy to create an image mask that designates brain tissue. Brain regions were extracted from the ultrasound data using different numbers of K-means clusters and multiple combinations of ultrasound data. Masks generated from ultrasound data were compared with reference masks derived from Computed Tomography (CT) data.

A segmentation algorithm based on ultrasound intensity with two K-means clusters achieves an accuracy better than 80% match with the CT data. Some improvement in the match is found with an algorithm that uses ultrasound intensity and displacement data, three K-means clusters, and addition of an algorithm to identify shallow sources of ultrasound shadowing.

Several segmentation algorithms achieve a match of over 80% between the ultrasound and Computed Tomography brain masks. A final tradeoff can be made between processing complexity and the best match of the two data sets.

More Publications

Inventions

System and Method of Noninvasive Blood Flow Measurement During Cardiopulmonary Resuscitation Using Signal Gating

Patent Number: 12,208,057

Pierre Mourad, John Kucewicz

Patent

28 Jan 2025

Filtering Systems and Methods for Suppression of Non-Stationary Reverberation in Ultrasound Images

The present technology is generally directed to filtering systems and methods for suppression of reverberation artifacts in ultrasound images. In some embodiments, a method of obtaining a filtered ultrasound image includes taking a first ultrasound image of a target tissue using an applicator. At least a portion of the applicator is moved such that the reverberation artifact ultrasound path length changes relative to the first position of the applicator. A second ultrasound image of the target tissue is then taken. The first and second ultrasound images are synthesized using at least one filtering method. The filtering method attenuates or removes reverberation artifacts in the synthesized ultrasound image.

Patent Number: 10,713,758

John Kucewicz

Patent

7 Jul 2020

Ultrasound Based Method and Apparatus for Stone Detection and to Facilitate Clearance Thereof

Patent Number: 9,597,103

Mike Bailey, John Kucewicz, Barbrina Dunmire, Neil Owen, Bryan Cunitz

More Info

Patent

21 Mar 2017

Described herein are methods and apparatus for detecting stones by ultrasound, in which the ultrasound reflections from a stone are preferentially selected and accentuated relative to the ultrasound reflections from blood or tissue. Also described herein are methods and apparatus for applying pushing ultrasound to in vivo stones or other objects, to facilitate the removal of such in vivo objects.

More Inventions

Acoustics Air-Sea Interaction & Remote Sensing Center for Environmental & Information Systems Center for Industrial & Medical Ultrasound Electronic & Photonic Systems Ocean Engineering Ocean Physics Polar Science Center
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