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Common Bile Duct Calculi clinical trials

View clinical trials related to Common Bile Duct Calculi.

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NCT ID: NCT06092905 Recruiting - Clinical trials for Common Bile Duct Calculi

Endoscopic Common Bile Duct Stones Clearance During Pregnancy

Start date: April 1, 2023
Phase:
Study type: Observational

Background: Pregnancy is associated with a higher risk of common bile duct stones. Currently Endoscopic Retrograde Cholangiopancreatography (ERCP) is the treatment of choice for symptomatic choledocholithiasis. However, ERCP during pregnancy is associated with hazards of radiation exposure, as well as challenging patient positioning and anesthesia

NCT ID: NCT05945797 Recruiting - Clinical trials for Common Bile Duct Calculi

Effects of Dexamethasone on Common Bile Duct Cannulation Time

Start date: August 1, 2023
Phase: N/A
Study type: Interventional

The main aim of this clinical trial is to evaluate the effects of dexamethasone on common bile duct cannulation time during endoscopic retrograde cholangiopancreatography (ERCP) in patients with biliary pathologies. The study will also study the effects of dexamethasone on total procedure time and total fluoroscopy time during ERCP. Participants will be divided into two groups, treatment group and placebo group. Patients in treatment group will receive dexamethasone and those in placebo group will be given normal saline before undergoing ERCP. The results in both groups will be compared to determine the effects of dexamethasone.

NCT ID: NCT04410848 Recruiting - Clinical trials for Common Bile Duct Calculi

Symbolic Regression Model To Predict Choledocholithiasis

(SymChole)
Start date: June 7, 2019
Phase:
Study type: Observational [Patient Registry]

Choledocholithiasis refers to the presence of gallstones within the common bile duct. It is proposed to look for markers that help in the diagnosis and in differentiating between retained and migrated gallstones. The selection of patients is a very important aspect, due to the economic aspects and possible complications. Taking advantage of the development of technology, the improvement in computer systems, the use of artificial intelligence and a symbolic regression model that works to predict the presence of choledocholithiasis and provide evidence that clarifies the treatment of patients with this pathology, especially in this group where there is a bigger controversy.