View clinical trials related to Calculi.
Filter by:This observational study aims to look at the connections between kidney stones, insulin resistance, and inflammation. The researchers hypothesize that people who form calcium kidney stones and have insulin resistance may have higher levels of inflammation because they have more visceral fat (fat around the abdominal organs). The study will recruit 20 people who have had calcium kidney stones but don't have diabetes, and 20 healthy people who haven't had kidney stones. All the participants will come to the research center at the University of Chicago Medicine. Participants will have a dual-energy X-ray absorptiometry (DEXA) scan to measure their visceral fat, and give blood and urine samples. The blood will be tested for insulin resistance, inflammatory markers, and other metabolic factors. The urine will be analyzed for substances that increase kidney stone risk. The main goal is to see if the kidney stone formers with insulin resistance have more visceral fat compared to those without insulin resistance and the healthy participants. The researchers will also compare inflammatory marker levels between groups, and look at how visceral fat, inflammatory markers, insulin resistance, and urine stone risk factors are related. The findings may help explain how kidney stones are connected to metabolic conditions like diabetes and cardiovascular disease. Researchers hope this information will help identify stone formers at risk early and develop preventive treatments in the future.
Kidney stone disease causes significant morbidity, and stones obstructing the ureter can have serious consequences. Imaging diagnostics with computed tomography (CT) are crucial for diagnosis, treatment selection, and follow-up. Segmentation of CT images can provide objective data on stone burden and signs of obstruction. Artificial intelligence (AI) can automate such segmentation but can also be used for the diagnosis of stone disease and obstruction. In this project, the aim is to investigate if: Manual segmentation of CT scans can provide more accurate information about kidney stone disease compared to conventional interpretation. AI segmentation yields valid results compared to manual segmentation. AI can detect ureteral stones and obstruction or predict spontaneous passage.
Limited literature has focused on the use of totally tubeless mini-percutaneous nephrolithotomy (Mini-PCNL) for the treatment of large renal stones. This Randomized Controlled trial aims to compare complication and safety of Mini-PCNL between total tubeless and tubeless Mini-PCNL.
The goal of this observational study is to developing an image-based artificial intelligence software that can automatically interpret the types and sizes of crystals in urine. The main question[s] it aims to answer are: - Allowing healthcare professionals to input urine images and receive real-time reading results on crystal types and sizes. - This aims to provide a faster, more objective, and accurate analysis of crystals. We anticipate delivering an image AI software suitable for practical applications, promoting the automation and accuracy of urine crystal analysis.
Objective: To improve quality-of-life and health care delivery to patients receiving ureteral stents. Specific Aims: Evaluate the feasibility, practicality, and qualitative outcomes of utilizing intra-nasal ketorolac in patients with indwelling ureteral stents (Phase I), followed by a randomized trial comparing two non-steroidal anti-inflammatory drugs, intra-nasal Ketorolac versus oral Diclofenac. Hypotheses: Due to its favorable pharmacokinetics in relieving acute pain, investigators expect improved pain scores and a lower rate of unplanned clinical encounters in patients receiving intra-nasal ketorolac compared to those taking oral diclofenac following ureteroscopic surgery for urolithiasis. Study Rationale: Following ureteroscopic management of urolithiasis, patient with indwelling ureter stents have higher levels of discomfort compared to those without a ureter stent. Prior studies showed that intramuscular Ketorolac at time of ureter stent removal decreased the incidence of unplanned clinical encounters. Furthermore, onset of analgesic effect by intra-nasal ketorolac is faster than its oral form, and similar its intramuscular and intravenous counterparts.
The goal of this clinical trial is to learn about Application and translational research of 3D printed models in the surgical treatment of common bile duct stones under endoscopic retrograde cholangiopancreatography. The main question it aims to answer are:Compare the differences in stone removal time, surgical complications, and surgical success rate during ERCP (+EST) surgery between 30 patients who used 3D printing preoperative simulation and 30 patients who did not use it. Participating patients will be divided into two groups, one group of 30 patients will use 3D printed models for preoperative simulation planning and then undergo surgery, and the other group will undergo surgery directly without using 3D printed models.
The modified laparoscopic transcystic biliary drainage which we developed in the treatment of cholecystocholedocholithiasis has some advantages over conventional techniques. Here, a 7-Fr triple-lumen 30-cm central venous catheter was adopted to replace conventional 5-Fr ureteral catheter, which extended the function of the C-tube. Then we developed a continued suture and circling manner by the V-Loc closure device, which simultaneously covered and anchored the C-tube. Theoretically, this modified laparoscopic transcystic drainage not only provide safe and effective bile duct drainage, but also provide a convenient access of treatment for postoperatively retained bile duct stones, which may expand the indication of initially laparoscopic operation in the management of cholecysto-choledocholithiasis.
As a first treatment option for small-size ureteric stones, α-blockers are now being used for medical expulsive therapy (MET) instead of invasive procedures. There is high evidence of the therapeutic benefit of α-blockers in the treatment of Distal ureteric stone (DUS); also endorsed by international guidelines. However, limited data is available worldwide, on the effect of silodosin to treat DUS. A multi-center study is needed to confirm the efficacy and safety of therapy.
To predict the outcome of flexible ureteroscopy in the management of renal stones based on preoperative scoring module using five preoperative parameters that have effect on stone free status postoperatively.
The goal of this work is to assess the best time to perform LC combined with LCBD exploration and the feasibility and safety of such procedure in patients with combined GBS and CBDS after failure of ERCP extraction of CBD stones .