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Microwave Radiometry for Non-Invasive Detection of Vesicoureteral Reflux (VUR) Following Bladder Warming
Paul R Stauffer1, Paolo F Maccarini, Kavitha Arunachalam
1Radiation Oncology Department, Duke University, Durham NC, 27710.
This study introduces a non-invasive method for detecting vesicoureteral reflux (VUR) in children. Radiometric monitoring of kidney temperature during gentle bladder warming shows promise for early VUR diagnosis, reducing the need for traumatic imaging.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Pediatric Urology
Background:
- Vesicoureteral reflux (VUR) is a significant pediatric condition linked to renal scarring.
- Current diagnostic methods for VUR rely on invasive procedures and X-ray imaging.
- There is a critical need for non-invasive VUR detection techniques.
Purpose of the Study:
- To develop and validate a non-invasive approach for detecting VUR.
- To assess the feasibility of radiometric kidney temperature monitoring during bladder warming.
- To establish a safer alternative to current traumatic VUR diagnostic procedures.
Main Methods:
- Design and testing of a 915MHz square slot antenna array for bladder heating.
- Development of an EMI-shielded log spiral microstrip receive antenna for radiometric monitoring.
- Utilizing a high-sensitivity 1.375GHz total power radiometer and power modulation techniques.
- Conducting in vivo porcine experiments to characterize bladder heating and radiometric temperature changes at depth.
Main Results:
- Demonstrated safe and effective heating of the bladder (180mL saline to 40-44°C) without thermal damage to surrounding tissues.
- Successfully detected temperature changes (2-6°C) in a deep-seated 30mL target simulating the kidney in porcine models.
- Confirmed the radiometer's sensitivity to detect temperature variations indicative of VUR.
Conclusions:
- A 915MHz antenna array can safely warm the bladder in vivo.
- A 1.375GHz radiometer system can detect significant temperature rises in deep tissues.
- This non-invasive radiometric method shows high sensitivity for detecting VUR, offering a promising alternative to current diagnostics.
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