[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100622922":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":20,"locations":10,"responsibleParty":27,"collaborators":10,"id":31,"slug":32,"hasResults":33,"nctId":34,"briefTitle":35,"officialTitle":36,"acronym":37,"eligibilityCriteria":38,"healthyVolunteers":33,"sex":39,"minAge":10,"maxAge":10,"enrollmentInfo":40,"targetDuration":10,"studyType":43,"phases":10,"briefSummary":44,"conditions":45,"keywords":47,"overallStatus":52,"whyStopped":10,"lastUpdateSubmitDate":53,"lastUpdatePostDateStruct":54,"startDateStruct":57,"completionDateStruct":59,"leadSponsor":61,"locationsCount":10},{"fullName":5,"class":6},"University of La Laguna","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Patients undergoing ERCP",null,"Consecutive patients undergoing endoscopic retrograde cholangiopancreatography (ERCP) will be included",[13],"Procedure: Endoscopic retrograde cholangiopancreatography (ERCP)",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"PROCEDURE","Endoscopic retrograde cholangiopancreatography (ERCP)","Patients with a clinical indication of Endoscopic retrograde cholangiopancreatography (ERCP) will be included in the study for malignant or benign conditions as in routine clinical practice. Endoscopic and radiological images of the second portion of the duodenum will be captured for each patient. In patients undergoing endoscopic ultrasound (EUS), additional images of the second portion of the duodenum at the level of the pancreatic head and common bile duct (CBD) will be obtained",[9],[21],{"name":22,"role":23,"phone":24,"phoneExt":25,"email":26},"Antonio Z Gimeno García, MD, PhD","CONTACT","34-922678039","34039","antozeben@gmail.com",{"type":28,"investigatorFullName":29,"investigatorTitle":30,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Manuel Hernandez-Guerra, MD","MD, PhD","100622922","a-convolutional-neural-network-for-difficult-biliary-cannulation-100622922",false,"NCT07389915","A Convolutional Neural Network for Difficult Biliary Cannulation","Design and Validation of a Convolutional Neural Network to Predict Difficult Biliary Canulation: a Multicenter Study.","PRECABIDO2","Inclusion Criteria:\n\n* Age \\>18 years\n* Signed informed consent\n* Patients indicated for ERCP\n\nExclusion Criteria:\n\n* INR \\> 1.5\n* Platelets \\\u003C 50,000\u002Fmm³\n* Patients with a prior endoscopic sphincterotomy\n* Papilla of Vater not accessible via duodenoscope (gastric or duodenal stenosis due to neoplasm) or gastric surgery (Billroth II, Roux-en-Y)\n* Known pancreas divisum\n* Indication due to pancreatic duct pathology","ALL",{"count":41,"type":42},600,"ESTIMATED","OBSERVATIONAL","The main purpose of the study is to train a convolutional neural network (CNN) to predict difficult biliary canulation (DBC) following the European Society of Gastrointestinal Endoscopy Society (ESGE). Consecutive patients undergoing an endoscopic retrograde cholangiopancreatography (ERCP) will be included in the study. Several pictures of the second portion of the duodenum including the ampulla will be taken, along with several pictures of the radiological image. Pictures prospectively collected from the study PRECABIDO (NCT06591364), a multicenter study whith the purpose of evaluating the prevalence of difficult biliary cannulation and predictive factors for difficult cannulation and cannulation failure using ESGE criteria were also used for the training of the CNN.\n\nWe will also assess:\n\nA validation of the CNN assessing the agreement between ESGE criteria and the CNN prediction.\n\nTo design a novel application based on the use of a convolutional neural network (CNN) to detect difficult biliary cannulation.\n\n.",[46],"Difficult Biliary Cannulation",[48,49,50,51],"ERCP","Difficult biliary cannulation","Convolutional neural network","CNN","NOT_YET_RECRUITING","2026-01-28",{"date":55,"type":56},"2026-02-05","ACTUAL",{"date":58,"type":42},"2026-02-01",{"date":60,"type":42},"2027-03-31",{"name":5,"class":6}]