| Web: | mayocliniclabs.com |
|---|---|
| Email: | mcl@mayo.edu |
| Telephone: | 800-533-1710 |
| International: | +1 855-379-3115 |
| Values are valid only on day of printing | |
| Web: | mayocliniclabs.com |
|---|---|
| Email: | mcl@mayo.edu |
| Telephone: | 800-533-1710 |
| International: | +1 855-379-3115 |
| Values are valid only on day of printing | |
The presence of stones within the kidneys, or nephrolithiasis, is the most common condition affecting the urinary system.1 Kidney stones correlate with an increased risk of chronic kidney disease, end-stage renal failure, cardiovascular diseases, diabetes, and hypertension.2
To optimize patient care, our kidney stone services identify the physical compositions of stones. Mayo Clinic Laboratories’ comprehensive approach and concise reporting support your practice with accurate interpretation to guide clinical decisions.
Kidney stones TEST MENU
Key testing
Advantages
More information
Cutting-edge interpretation
To characterize the kidney stone FTIR spectra, Mayo Clinic developed and validated a suite of novel artificial intelligence (AI) algorithms to help interpret the FTIR spectra. For common or easy spectra that meet defined quality and accuracy criteria, these results can be automatically released, while more challenging spectra are passed along for a technologist to review before results are finalized.
This new AI-augmented analysis results in improved accuracy and efficiency of the clinical workflow to ensure physicians are provided the correct results, enabling proper guidance on treatment options to prevent future stone recurrence.3
When to consider testing
Specimen requirements
Highlights
Since March 2019, Paul Jannetto, Ph.D., director of the Metals Laboratory at Mayo Clinic, along with his colleagues across the enterprise and his laboratory staff, have developed, validated, and implemented an artificial intelligence (AI)-augmented test with algorithms designed to interpret kidney stone FTIR spectra. With more than 90,000 kidney stones analyzed each year at Mayo Clinic, this new AI-assisted test has streamlined lab processes and improved patient care.
In this “Hot Topic,” Paul Jannetto, Ph.D., highlights Mayo Clinic Laboratories’ AI-augmented kidney stone test and discusses the proper procedures for collecting and processing kidney stones to provide accurate, cost-effective analysis of patients’ kidney stones in a timely manner.
A collaborative study between Mayo Clinic and the University of Illinois debunked the previous consensus about how kidney stones grow.
Part II of this series shows how a breakthrough discovery about how kidney stones form may open the way for new, unorthodox treatments. The discovery was made possible by joining University of Illinois’ geology and biology forces with Mayo Clinic’s urology and nephrology expertise.