; Although state-of-the-art CT provides accurate sub-millimeter details of the size and location of renal stones and separation of uric acid and non-uric acid stones, current routine clinical image analysis does not provide a comprehensive tool to quantitatively assess stone composition, volume, morphology and fragility, or to detect precursor lesions and trace elements related to stone formation. We have demonstrated that the novel algorithms developed in our lab during the initial funding period of our first O'Brien Center grant are able to separate eight common types of renal stones into five groups in an anthropomorphic phantom under clinical conditions, and into four groups in patients. In patients, we demonstrated an overall accuracy of 79.1%. We have also demonstrated the ability to accurately measure stone volume and surface morphology. In Project 1 of the current proposal, we will develop and validate tools to quantify interior stone morphology and use our quantitative measurements of stone composition, volume, surface and interior morphology to predict stone fragility. Thus, CT imaging, which is the predominant clinical tool used to diagnose and stage renal stones, can provide a much richer source of important clinical and research information when dual-energy data are acquired and quantitative analysis techniques used. The Imaging Core will provide five key functions in support of this O'Brien Urology Cooperative Research Center. These functions will directly support Projects 1, 2, and 3, and may be of value for pilot projects initiated during later years of the Center's activities. Additionally, the functions may be of considerable value to extramural researchers in the field of nephrolithiasis, including 1) Dual-energy CT scanning of ex-vivo specimens or patients; 2) Dual-energy CT attenuation, volume and morphology analyses; 3) Spectral CT scanning of ex-vivo specimens; 4) Coordination of micro-CT scanning and fragility testing with Dr. Jim Williams;and 5) Coordination of neutron activation analysis with Dr. Xin Liu.

Public Health Relevance

The Imaging Core is equipped with state of the art CT scanning technology, image processing computers and algorithms. This core provides a rich opportunity for multi-disciplinary research and brings the tremendous advances in imaging science of the last decade into the field of Nephrolithiasis research. The mission of the Imaging Core is to provide comprehensive non-invasive assessment of renal stones.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
1U54DK100227-01
Application #
8626072
Study Section
Special Emphasis Panel (ZDK1-GRB-9 (M2))
Project Start
Project End
Budget Start
2013-09-29
Budget End
2014-06-30
Support Year
1
Fiscal Year
2013
Total Cost
$188,787
Indirect Cost
$54,771
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
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Lieske, John C; Mehta, Ramila A; Milliner, Dawn S et al. (2015) Kidney stones are common after bariatric surgery. Kidney Int 87:839-45
Cabrero, Pablo; Terhzaz, Selim; Romero, Michael F et al. (2014) Chloride channels in stellate cells are essential for uniquely high secretion rates in neuropeptide-stimulated Drosophila diuresis. Proc Natl Acad Sci U S A 111:14301-6
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Rodgers, Allen; Gauvin, Daniel; Edeh, Samuel et al. (2014) Sulfate but not thiosulfate reduces calculated and measured urinary ionized calcium and supersaturation: implications for the treatment of calcium renal stones. PLoS One 9:e103602
Meeusen, Jeffrey W; Lieske, John C (2014) Looking for a better creatinine. Clin Chem 60:1036-9
Lieske, John C (2014) New insights regarding the interrelationship of obesity, diet, physical activity, and kidney stones. J Am Soc Nephrol 25:211-2
Singh, Prince; Knoedler, John J; Krambeck, Amy E et al. (2014) Thiazide diuretic prophylaxis for kidney stones and the risk of diabetes mellitus. J Urol 192:1700-4
Jepperson, Maria A; Ibrahim, El-Sayed H; Taylor, Abby et al. (2014) Accuracy and efficiency of determining urinary calculi composition using dual-energy computed tomography compared with Hounsfield unit measurements for practicing physicians. Urology 84:561-4

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