New model could help doctors spot uric acid stones without surgery
NCT ID NCT07328932
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This observational study aims to develop a model that uses patient information, lab results, and CT scans to accurately identify uric acid urinary stones before treatment. Researchers will enroll 1,650 patients undergoing surgery for urinary stones and compare the model's predictions with the actual stone composition. If successful, this could help doctors choose the right prevention and treatment strategies without needing to analyze the stone after removal.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could give doctors a reliable, non-invasive way to tell uric acid stones from other types before surgery, leading to more personalized treatment.
- What could go wrong
- This is an observational study, not a treatment trial. The model may not be accurate enough for widespread use, and results may not apply to all patients or settings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 1,650 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Oct 2025
- Expected to finish
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Oct 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population consists of adult patients with urinary tract stones who undergo surgical treatment at participating centers. Eligible participants include patients with kidney, ureteral, bladder, or urethral stones, with available clinical information, laboratory test results, computed tomography imaging, and postoperative stone composition analysis.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients with a confirmed diagnosis of urinary tract stones, including kidney stones, ureteral stones, bladder stones, or urethral stones. * Patients who undergo surgical treatment for urinary tract stones at participating centers during the study period, including ureteroscopy or flexible ureteroscopy lithotripsy, percutaneous nephrolithotomy, pyelolithotomy or ureterolithotomy, or transurethral cystolithotripsy. * Patients whose stone composition is determined by postoperative infrared spectroscopy analysis. Exclusion Criteria: * Patients with multiple stones or stones located at multiple sites, such as multiple renal stones or concomitant kidney and ureteral stones, to avoid discrepancies between computed tomography measurements of the target stone and stone composition analysis. * Pregnant or breastfeeding women. * Patients younger than 18 years of age.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, 200000, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.