Artificial Intelligence-assisted Common Bile Duct Stent Selection in Endoscopic Retrograde Cholangiopancreatography
NCT ID: NCT05321472
Last Updated: 2022-07-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
600 participants
OBSERVATIONAL
2022-04-20
2023-04-30
Brief Summary
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Detailed Description
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The selection of appropriate biliary stent size is not only conducive to successful stent implantation but also to improve the prognosis of patients. Choose a stent of appropriate length. The proximal side of the stent should be 1cm above the obstruction segment, and the distal tail should be located just outside the nipple. The length of the stent can be determined by measuring the distance between the proximal end of the obstruction and the nipple under X-ray.
Current stent size selection is based on the operator's empirical estimation :(1) estimate the distance by endoscope diameter or cone length or catheter marking; (2) By retracting the guidewire, calculate the distance of the guidewire retracting between two points to estimate the length of the stent.The long radiation exposure time results in unnecessary injuries to both the operator and the patient.
Conditions
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Study Design
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OTHER
RETROSPECTIVE
Study Groups
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group for training the algorithm
This group of images is used for training the algorithm of the artificial intelligence
No interventions assigned to this group
group for testing the algorithm
This group of images is used for testing the algorithm of the artificial intelligence
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* patients proved no stenosis in common bile duct
* poor cholangiograms due to the lack of contrast agent or insufficient filling of contrast agent (cholangiograms without the completed CBD or thumbnails)
18 Years
ALL
No
Sponsors
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Shandong University
OTHER
Responsible Party
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Yanqing Li
Vice President of Qilu Hospital
Principal Investigators
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Yanqing Li, MD, PhD
Role: STUDY_CHAIR
Qilu Hospital, Shandong University
Locations
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Department of Gastroenterology,QiLu Hospital,Shandong University
Jinan, Shandong, China
Countries
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Central Contacts
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Facility Contacts
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References
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Adler DG, Lieb JG 2nd, Cohen J, Pike IM, Park WG, Rizk MK, Sawhney MS, Scheiman JM, Shaheen NJ, Sherman S, Wani S. Quality indicators for ERCP. Gastrointest Endosc. 2015 Jan;81(1):54-66. doi: 10.1016/j.gie.2014.07.056. Epub 2014 Dec 2. No abstract available.
Huang L, Lu X, Huang X, Zou X, Wu L, Zhou Z, Wu D, Tang D, Chen D, Wan X, Zhu Z, Deng T, Shen L, Liu J, Zhu Y, Gong D, Chen D, Zhong Y, Liu F, Yu H. Intelligent difficulty scoring and assistance system for endoscopic extraction of common bile duct stones based on deep learning: multicenter study. Endoscopy. 2021 May;53(5):491-498. doi: 10.1055/a-1244-5698. Epub 2020 Nov 9.
Other Identifiers
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2021-SDU-QILU-090
Identifier Type: -
Identifier Source: org_study_id
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