Skip to main content Skip to navigation
We care about your privacy. Read about your rights and how we protect your data. Get Details

Coronavirus Update:What patients and families need to know

The Children's National Research Institute

High Accuracy Software System Detects Renal Obstruction and Minimizes Radiation-Based Imaging

Summary

Researchers at Children's National Hospital have developed a software system to assess congenital kidney obstruction and predict clinical outcomes, reducing unnecessary invasive imaging procedures and misdiagnosis.

Description

The dilation of kidney and renal structures overfilled with urine caused by obstruction is common in babies and in few adults. Most renal obstructions resolve without treatment, however they require periodic studies to ensure proper kidney functioning. Patients with obstruction typically undergo procedures that involve catheters, harmful radioactive tracer materials and sedation in children. This technology minimizes the risks associated with the use of radiation and sedation by using the fewest possible nuclear imaging procedure to predict a patient’s condition. The following advantages highlight the merits of this software system:

  1. Quantitative renal assessment compared to subjective evaluation to minimize misdiagnosis.
  2. Reduction in harmful radiation exposure and sedation by minimizing number of imaging procedures.
  3. Reduction in patient discomfort and costs associated with additional procedures.
  4. Software system provides greater than 90% predictive accuracy, specificity and sensitivity.
  5. Earlier diagnosis of renal obstruction to preserve kidney function.

Applications

  • Pediatric (Congenital hydronephrosis) and adults patients with renal or kidney obstruction

Stage of Development

  • Clinical studies with pediatric patients completed. Multi-institutional study to commence.

Intellectual Property Status

  • Pending U.S. Patent Application, “System, Apparatus, Method for Detection of Ureteropelvic Junction Obstruction”

This technology is available for exclusive or non-exclusive licensing.

Licensing/Business Contact

Sangeetha Raghavan
Senior Licensing Associate
Phone: 202-476-1231
Office of Innovation and Technology Commercialization