- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06418490
The Application of Digital Intelligent Diagnostic and Therapeutic Technology in Biliary Dilation Diagnosis (DIIBD)
Navigating the Biliary Maze:a Retrospective Cohort Study of Augmented Reality Improving Outcomes in Choledochal Dilation Resection
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Choledochal cysts (CC) have traditionally been considered as cystic dilatations of the extrahepatic bile duct. Choledochal cysts are now referred to as choledochal dilatation, which also includes intrahepatic and extrahepatic cysts. Choledochal cysts are defined as cystic dilatations involving the bile duct tree of single or multiple segments of the intrahepatic and extrahepatic bile ducts. In 1959, Alonso-Lej et al. first divided CC into 3 types based on the location of bile duct dilatation. It was not until 1977 that Todani et al. revised the classification, adding 2 more types of CCs, which is the most commonly used classification by clinicians today; however, some experts dispute this, claiming that each type of CC has its own natural history, complications, and treatments. It is suggested to focus more on the pathogenesis rather than a simple anatomical classification of the bile duct tree. Choledochal cysts are a rare anomaly and are sometimes considered as a precancerous condition, which often leads to diagnostic challenges. The typical presentation of this condition is nonspecific. Medical teams must have a high clinical suspicion of choledochal cysts when investigating patients with jaundice, abdominal pain, and palpable abdominal masses. Due to the ambiguity of these symptoms and physical examination findings, appropriate imaging studies are crucial for diagnosis. Resection of choledochal dilatation has shown excellent results, with a complication-free rate of 89% and an overall 5-year survival rate exceeding 90%. Therefore, early diagnosis and appropriate management are essential to achieve optimal outcomes and a good prognosis.
Clinical practice has confirmed that the modern digital imaging technology, such as three-dimensional visualization and augmented reality navigation technology, built for hepatobiliary surgery diagnosis and treatment platform plays a crucial guiding role in precise preoperative assessment, lesion localization, formulation of optimal surgical plans, and intraoperative navigation to avoid collateral damage. Professor Fang Chihua's team has conducted long-term research and breakthroughs in this field. A significant portion of the literature in the field of digital intelligent diagnosis and treatment technology retrieved from SinoMed - China Biomedical Literature Service System comes from Professor Fang Chihua's team. The team has published consecutive expert consensus in the Chinese Journal of Practical Surgery in the field of digital intelligence in hepatobiliary surgery, including the publication of "Expert Consensus on Precise Diagnosis and Treatment of Three-Dimensional Visualization of Hepatobiliary Stones (2019 Edition)," which affirms the significant impact of three-dimensional visualization technology in guiding the precise diagnosis and treatment of hepatobiliary stones. The "Consensus recommendations of three-dimensional visualization for diagnosis and management of liver disease" published in an international journal demonstrates that China's research level in this field is at the forefront globally. Sioh Huang Lim et al. utilized ICG intraoperative navigation technology to visualize the extrahepatic bile ducts without radiation, enabling quicker identification of bile ducts compared to cholangiography. Liu Yangsui et al. applied fluorescence imaging technology for real-time navigation of the extrahepatic bile ducts, achieving superior outcomes in terms of surgical time, intraoperative blood loss, and postoperative hospital stay compared to the traditional surgery group. In laparoscopic re-exploration of the bile duct, Tian Guangjin et al. used ICG fluorescence navigation technology as surgical assistance, with a conversion to open surgery rate of approximately 3.3% in the navigation group compared to 22.9% in the conventional surgery group, achieving higher rates of minimally invasive abdominal surgery in the navigation group. Takeshi Aoki et al. indicated in their literature the successful staining of subsegments or liver segments in 33 out of 35 cases (94.3%) using fluorescence imaging technology for liver resection navigation. Kunshan He et al. demonstrated that near-infrared (NIR) imaging method resulted in less blood loss and shorter hospital stay compared to traditional methods. ICG fluorescence imaging technology has shown promising prospects in partial liver resection surgery. In conclusion, three-dimensional visualization technology can achieve precise preoperative differentiation of vascular variations, formulate individualized surgical plans based on reconstructed three-dimensional models, and provide real-time navigation during surgery to ensure the success of the operation. Intraoperative real-time augmented reality technology navigation helps prevent intraoperative bile duct injuries, effectively reduce severe postoperative complications, and decrease residual cysts and associated complications. Therefore, the combined application of both technologies in the treatment of choledochal cysts surgery provides better medical technological support, enhances surgical safety and precision, promotes the development of minimally invasive surgery, and holds significant clinical value.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
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Guangdong
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Guangzhou, Guangdong, China, 510280
- Recruiting
- Zhujiang Hospital
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Contact:
- zeng ning, Doctor
- Phone Number: +86 +8613760694012
- Email: chen_ning16@foxmail.com
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Contact:
- cai peilin, master
- Phone Number: +86 +8615625854491
- Email: v689023@163.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
Diagnosis of congenital biliary dilatation confirmed; The standard of Child-Pugh classification of preoperative liver function was; class A or B; Clinical data were complete;
Exclusion Criteria:
Patients with cardiopulmonary dysfunction who cannot tolerate surgery or anesthesia; Patients with malignant transformation; Lack of clinical data.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
3D-group
After adequate general anesthesia, the non-3D group underwent conventional choledochal cyst excision surgery, while the 3D group underwent choledochal cyst excision surgery guided by three-dimensional visualization technology or enhanced reality navigation.
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Three-dimensional reconstruction technology is a software that can collect CT and MRI data, perform image segmentation and three-dimensional reconstruction of the liver, gallbladder, dilated bile ducts, pancreas, venous, and arterial systems step by step.
The software is called Abdominal Medical Image 3D Visualization Software (MI-3DVS, software copyright registration number: 2008SR18798).The AR-ANS (Software Copyright No.: 2018SR840555) is an intraoperative navigation system that integrates three-dimensional visualization technology.This modification provides visual guidance for surgeons when ligating or protecting critical vascular tissues during surgery.
Other Names:
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Non-3D Group
After adequate general anesthesia, the non-3D group underwent conventional choledochal cyst excision surgery, while the 3D group underwent choledochal cyst excision surgery guided by three-dimensional visualization technology or enhanced reality navigation.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
CCI
Time Frame: Postoperative review lasted until 1 year
|
Comprehensive Complication Index:integrating all recorded complications weighted by severity in a single formula.
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Postoperative review lasted until 1 year
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operation time
Time Frame: perioperative period
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minutes
|
perioperative period
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intraoperative blood loss
Time Frame: perioperative period
|
ml
|
perioperative period
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Postoperative complete blood count
Time Frame: perioperative period
|
G/L
|
perioperative period
|
Repeat surgery rate
Time Frame: perioperative period
|
perioperative period
|
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serum bilirubin levels
Time Frame: perioperative period
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μmol/L
|
perioperative period
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2024-KY-042
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Sharing Time Frame
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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