Renal Rejection Diagnostic Tool: Computer-Aided Diagnostic System of Acute Renal Transplant Rejection

University of Louisville Background
Approximately 18,000 kidney transplants are performed in the United States every year, and virtually all of them fail within 15 years. Since early detection of transplant rejection increases the survival rate of the transplanted kidney, there is a need for a method to assess transplant status.
Technology Overview
To address that need, researchers at the University of Louisville have developed an accurate diagnosis platform for evaluating the transplant status of kidneys, classifying them as either non-rejection or acute rejection, using MRI ().
The current gold standard for assessing kidney transplant status is renal biopsy, but it is not preferred due to its invasiveness, long turnaround time (one to two weeks) and potential for complications, such as bleeding and/or infection. UofL’s diagnostic system overcomes these limitations by being non-invasive, fast and safe.
Testing the system showed that the diagnostic process takes less than 20 minutes and has a high overall diagnostic accuracy of 97 percent in detecting rejected and non-rejected kidney transplants.
The system also detects kidney diseases and evaluates kidney function, which will help clinicians to initiate timely interventions with appropriate treatments. This also allows for a specific treatment approach for individual patients.
Further Details
Shehata, Mohamed, et al. “Computer-aided diagnostic system for early detection of acute renal transplant rejection using diffusion-weighted MRI.” _IEEE Transactions on Biomedical Engineering _(2018).
Benefits

CAD system for the early detection of different kidney diseases;
Identifies the functionality of the diseased kidney;
Differentiates rejected from non-rejected kidney transplants with a high accuracy and provides fast diagnostic results

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