A Multi-center Study on the Efficacy and Safety of AI-assisted Navigation System for Biliopancreatic EUS
NCT04892329 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 285
Last updated 2022-07-05
Summary
Pancreatic cancer is one of the most lethal cancers. Survival rates vary largely depending on the stage at which it is diagnosed. EUS is considered one of the most sensitive modalities for pancreatic cancer detection. To avoid a missed diagnosis of the pancreatic cancer, the continuity and integrity of EUS needs to be ensured as much as possible. The station approach in pancreatic EUS has been established as the standard scanning procedure. Complete anatomical scanning is helpful for the identification of standard stations, and its imaging findings can assist in the diagnosis of pancreatic lesions and guide patient treatment and prognosis. But EUS is highly operator-dependent and the learning curve is steep. In this study, we constructed a deep learning-based pancreatic scanning navigation system in EUS, which can assist in identifying important anatomical structures adjacent to the pancreas in real time. In order to improve the quality of EUS and reduce the missed diagnosis of pancreatic lesions.
Conditions
Interventions
- OTHER
-
Artificial intelligence assistant system
The endoscopists in the experimental group will be assisted by EndoAngel, which can assist in identifying important anatomical structures adjacent to the pancreas in real time. The system is an non-invasive AI system .
Sponsors & Collaborators
-
Renmin Hospital of Wuhan University
lead OTHER
Principal Investigators
-
Honggang Yu, Doctor · Renmin Hospital of Wuhan University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SCREENING
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2021-05-12
- Primary Completion
- 2022-11-29
- Completion
- 2022-11-30
Countries
- China
Study Locations
More Related Trials
-
Repeated EUS-guided Fine Needle Biopsy of Pancreatic Masses After Non-diagnostic or Inconclusive Results
NCT05226572 ·Status: COMPLETED
-
Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data
NCT05313854 ·Status: UNKNOWN
-
Profiling the Intratumoral Microbiome of Pancreatic Ductal Adenocarcinoma Based on EUS-FNB Tissue Samples and Exploring Its Impact on Tumor Diagnosis and Prognosis.
NCT06655233 ·Status: RECRUITING
-
Research of the Application of Pancreatic Cancer Screening Artificial Intelligence Model "PANDAPro"
NCT06643715 ·Status: RECRUITING ·Phase: NA
-
Research of the Application of Artificial Intelligence Model "PANDA"
NCT06528223 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Artificial Intelligence-powered Low-Dose Computed Tomography for Screening of Pancreatic Cancer
NCT07117045 ·Status: RECRUITING
-
AI-powered Early Detection for Pancreatic Cancer Via Non-contrast CT in Opportunistic Screening Cohort
NCT06638866 ·Status: RECRUITING
-
AI Assisted the Diagnosis of Pancreatic Solid Lesions
NCT05706415 ·Status: UNKNOWN
-
Comparison Between Base and Cover Slide From Endoscopic Ultrasound Guided Fine Needle Aspiration for Pancreatic Cancer
NCT02190071 ·Status: COMPLETED
-
Radiographic Response to Chemotherapy in Unresected Localized Pancreatic Cancer
NCT05729737 ·Status: RECRUITING
-
A Clinical Study to Evaluated Which Number of Passes of EUS-FNB is Better for Culturing Primary Cells of PDAC
NCT04794140 ·Status: UNKNOWN ·Phase: NA
-
Correlation Between Elastic Modulus of Ultrasonic Shear Wave and Tumor Stromal Component in Pancreatic Cancer
NCT05187416 ·Status: UNKNOWN
-
EUS-RFA PANCARDINAL-1 Trial
NCT04990609 ·Status: RECRUITING ·Phase: PHASE2
-
Superb Microvascular Imaging (SMI) and Two-Dimensional Endoscopic Ultrasound Guided Shear Wave Elastography (2D-SWE-EUS) in Differential Diagnosis of Pancreatic Adenocarcinoma (PA) From Other Pancreatic Solid Lesions (PSLs) and Pancreatic neuroendocrinE Tumors (pNETs) Malignancy
NCT07274657 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Acquisition of Portal Venous CTCs and Exosomes From Patients With Pancreatic Cancer by EUS
NCT03821909 ·Status: UNKNOWN
-
Randomized Trial for Optimal Number of Passes Required for Molecular Profiling During EUS-FNB of Pancreatic Cancer
NCT05043532 ·Status: UNKNOWN ·Phase: NA
-
Endoscopic Ultrasound (EUS) Intratumoral Injection of CAR-NK Cells in the Treatment of Advanced Pancreatic Cancer
NCT06478459 ·Status: RECRUITING ·Phase: EARLY_PHASE1
-
Prevention of Upper Gastrointestinal Hemorrhage Using Albis® in the Patients of Locally Advanced Pancreatic Cancer Who Underwent Concurrent Chemoradiotherapy
NCT02570529 ·Status: WITHDRAWN ·Phase: PHASE4
-
"Effect of Screening Using Imaging (CT/ EUS) on Early Detection of Pancreatic Ductal Adenocarcinoma (PDAC) in Patients With New Onset Diabetes (NOD)" - A Prospective Pilot Observational Study
NCT06044064 ·Status: NOT_YET_RECRUITING
-
Pancreatic Cancer Molecular Sub-classification Using Endoscopic Ultrasound Tissue Core Biopsy Samples
NCT04246710 ·Status: ACTIVE_NOT_RECRUITING
-
Validation of Joint-AI in Diagnosing Pancreatic Solid Lesions
NCT06753318 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Multimodal Deep Learning Model Predicts Pancreatic Cancer Prognosis
NCT06760234 ·Status: COMPLETED
-
Perfusion Assessment With Contrast-Enhanced EUS in Locally Advanced and Metastatic Pancreatic Cancer
NCT03513198 ·Status: UNKNOWN
-
Bioinformation Therapy for Pancreatic Cancer
NCT03239184 ·Status: COMPLETED ·Phase: PHASE2/PHASE3
-
Feasibility Study of LUM Imaging System for Pancreatic Cancer
NCT04276909 ·Status: WITHDRAWN ·Phase: NA