View clinical trials related to Biliary Dyskinesia.
Filter by:The goal of this study is to evaluate the utility and efficacy of an artificial intelligence (AI) model at identifying structures and phases of surgery compared to traditional white light assessment by trained surgeons. Surgeons will perform the procedure in their standard practice, while the AI model analyzes data from the laparoscopic camera. Surgeons will be asked to audibly state when they identify structures and enter different phases of the surgical procedure. The AI will not alter the surgeon's view or be visible to the surgeon, and the surgeon will perform the procedure in the exact same fashion as they typically do.
Benign gallbladder disease, including acute cholecystitis, chronic cholecystitis, biliary dyskinesia, and biliary colic, is very common, with over 300,000 surgical cholecystectomies performed per year in the US. Unfortunately, complication rates in elderly patients or patients with many comorbidities are high. These patients are often managed with percutaneous tube drainage of the gallbladder (percutaneous cholecystostomy). The recurrence rate of calculous cholecystitis after cholecystostomy tube removal is as high as 35% at 1 year. These patients are thus faced with permanent cholecystostomy tube drainage, high-risk surgery, or cholecystostomy tube removal and risk of repeat cholecystitis. Gallbladder cryoablation is an alternative to surgical cholecystectomy which is performed percutaneously and does not require general anesthesia. Published evidence on the outcomes of gallbladder cryoablation is however limited at this point in time. The purpose of the proposed study is to follow the outcomes of high-risk patients who undergo gallbladder cryoablation.
The goal of this study is to challenge the existing clinical practice of employing laparoscopic cholecystectomy as the treatment for gallbladder dyskinesia by comparing it to a regimen of active non-surgical therapy.