Mp07-19 Artificial Intelligence (AI) for Measuring Renal Calculus Volume: Initial Single-Center Description of Sequential AI-Enhanced Ultra-Low Dose Ct’s

You have accessJournal of UrologySurgical Technology 4.1 millisievert) scans (DOI 10.1002/mp.15518). This has excellent sensitivity (97.8%) and agreement with radiologist-measured CV (0.995). Using this model, we measured the rate of CV growth and the relationship of CV change and surgical management. METHODS: Our retrospective study (2017-2020) included patients being monitored in our surgical stone clinic for urolithiasis who had at least two consecutive stone-monitoring scans by non-contrast, ULD-CT limited to the kidney and proximal ureter. Exclusion criteria included an intervention between scans: stone surgery, alkali therapy for uric acid stones, or patient-reported stone passage. The AI model was used to detect, segment and measure the CV in both kidneys. We evaluated clinical and stone characteristics and calculated the absolute change, percent change, velocity of change and their association with surgical intervention. RESULTS: The mean age was 57.5 (±12.3), 53% women; Table 1. The mean bilateral CV on initial ULD-CT was 176.1 (±105.8) mm3 and 270.6 (±126.7) mm3 on follow-up CT scan at a mean of 8.3 months (±4.3) months. Stone volume increased 43%. Independent of time between scans, the change in CV was significantly associated with having stone surgery (p=0.04). The velocity of change was faster for those who had surgery (10.1 mm3/month) than those who did not have surgery after follow-up ULD-CT (5.6 mm3/month), though this was not significant (p=0.11); Figure. CONCLUSIONS: Using an AI model to measure CV growth using ULD-CT, we found that increasing stone volume is highly predictive of stone surgery. Our study also suggests that there may be a change in velocity that can predict surgical intervention and thus simplify clinical decision making. To our knowledge this is the first description of an AI model being applied to stone volume monitoring associated with clinical management. Download PPT Source of Funding: NA © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e112 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Emily C. Serrell More articles by this author Kevin Borowski More articles by this author Shuang Li More articles by this author Stephen Nakada More articles by this author Ali Antar More articles by this author Margaret Knoedler More articles by this author John Garrett More articles by this author Meghan J. Lubner More articles by this author Ronald M. Summers More articles by this author Perry Pickhardt More articles by this author Expand All Advertisement PDF downloadLoading ...