- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04743479
Artificial Intelligence-based Early Screening of Pancreatic Cancer and High Risk Tracing (ESPRIT-AI) (ESPRIT-AI)
Artificial Intelligence-based Health Information Management System and Key Technology Study of Early Screening and Hierarchical Diagnosis and Treatment of Pancreatic Cancer
Pancreatic cancer is one of the most fatal malignancies with a 5-year survival rate of only ~6%[1]. The reasons for this high mortality rate can be attributed to several factors, of which perhaps the most important is delayed diagnosis due to vague symptoms and consequently missed opportunities for surgical resection. Therefore, the ability to detect pancreatic cancer at an early, more curable stage is urgently needed.
Identifying risk factors and biomarkers of early pancreatic cancer could facilitate screening for individuals at higher than average risk and expedite the diagnosis in individuals with symptoms and substantially improve an individual's chance of surviving the disease. Thus, the investigators propose this longitudinal study entitled, "Artificial Intelligence-based Early Screening of Pancreatic Cancer and High Risk Tracing (ESPRIT-AI)" in order to generate clinical data sets and bank serial blood specimens of high risk individuals.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Beilei Wang, M.D.
- Phone Number: 13774238083
- Email: lilly_wang@126.com
Study Contact Backup
- Name: Shiwei Guo, M.D.
- Phone Number: 18621500666
- Email: gestwa@163.com
Study Locations
-
-
-
Shanghai, China, 200433
- Recruiting
- Shanghai Changhai Hospital
-
Contact:
- Beilei Wang, M.D.
- Phone Number: 13774238083
- Email: lilly_wang@126.com
-
Sub-Investigator:
- Bimeng Zhang, M.D.
-
Principal Investigator:
- Gang Jin, M.D.
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Subject is able and willing to provide informed consent and sign an informed consent form.
- Subject or authorized representative must be willing to complete a detailed questionnaire.
Subject must meet one of the following criteria:
- New onset diabetes (diagnosed within the past 3 years)
- Familial pancreatic cancer
- Inherited syndromes associated with pancreatic cancer (including Hereditary pancreatitis, Familial atypical multiple mole and melanoma syndrome, Hereditary nonpolyposis colon cancer, Peutz-Jeghers syndrome, Hereditary breast and ovarian cancer syndromes, etc)
- Pancreatic cystic neoplasm (including IPMN, MCN)
- Chronic pancreatitis
Exclusion Criteria:
- Subject has been diagnosed with pancreatic cancer or other malignant tumors in the last 5 years;
- Subject has any medical condition that contraindicates high-resolution MRI or CT;
- Subject cannot be followed up or is participating in other clinical trials.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
New Onset Diabetes
New Onset Diabetes must meet one of the following criteria:
|
Participants will undergo annual questionnaire survey, laboratory tests and high-resolution MRI/CT examinations of the pancreas.
Any suspicious lesions will be further examined by endoscopic ultrasound (EUS).
Other Names:
|
|
Familial pancreatic cancer
Familial pancreatic cancer must meet one of the following criteria:
|
Participants will undergo annual questionnaire survey, laboratory tests and high-resolution MRI/CT examinations of the pancreas.
Any suspicious lesions will be further examined by endoscopic ultrasound (EUS).
Other Names:
|
|
Inherited syndromes associated with pancreatic cancer
Family history includes with inherited syndromes associated with pancreatic cancer ( ≥ 2 blood relative, includes 1st-3rd degree relatives). Inherited syndromes must meet one of the following criteria:
|
Participants will undergo annual questionnaire survey, laboratory tests and high-resolution MRI/CT examinations of the pancreas.
Any suspicious lesions will be further examined by endoscopic ultrasound (EUS).
Other Names:
|
|
Pancreatic Cystic Neoplasm
Pancreatic Cystic Neoplasm, including intraductal papillary mucinous neoplasms (IPMN) and mucinous cystic neoplasms (MCN), which are defined by endoscopic ultrasound or serial imaging.
|
Participants will undergo annual questionnaire survey, laboratory tests and high-resolution MRI/CT examinations of the pancreas.
Any suspicious lesions will be further examined by endoscopic ultrasound (EUS).
Other Names:
|
|
Chronic pancreatitis
Chronic pancreatitis, defined by cross-sectional imaging, endoscopic ultrasound, functional testing abnormalities OR as diagnosed by a gastroenterologist.
|
Participants will undergo annual questionnaire survey, laboratory tests and high-resolution MRI/CT examinations of the pancreas.
Any suspicious lesions will be further examined by endoscopic ultrasound (EUS).
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Incidence
Time Frame: 5 years
|
Determine incidence of pancreatic cancer or precursor lesions among high risk individuals.
|
5 years
|
|
Hazard ratio (HR)
Time Frame: 5 years
|
Assesses the influence of risk factors on the incidence of pancreatic cancer or precursor lesions among high risk individuals.
|
5 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Survival time
Time Frame: 5 years
|
Calculate survival time from point of diagnosis and treatment among the identified patients with pancreatic cancer.
|
5 years
|
|
HR
Time Frame: 5 years
|
Assesses the influence of risk factors on survival time among the identified patients with pancreatic cancer.
|
5 years
|
|
Diagnostic yield
Time Frame: 5 years
|
Determine diagnostic yield (sensitivity, specificity, positive/negative predictive value and accuracy) of AI-based surveillance program to predict early stage pancreatic cancer.
|
5 years
|
Collaborators and Investigators
Sponsor
Investigators
- Study Chair: Gang Jin, M.D., Department of general surgery, Changhai Hospital
Publications and helpful links
General Publications
- Kamisawa T, Wood LD, Itoi T, Takaori K. Pancreatic cancer. Lancet. 2016 Jul 2;388(10039):73-85. doi: 10.1016/S0140-6736(16)00141-0. Epub 2016 Jan 30.
- Henrikson NB, Aiello Bowles EJ, Blasi PR, Morrison CC, Nguyen M, Pillarisetty VG, Lin JS. Screening for Pancreatic Cancer: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA. 2019 Aug 6;322(5):445-454. doi: 10.1001/jama.2019.6190.
- Maitra A, Sharma A, Brand RE, Van Den Eeden SK, Fisher WE, Hart PA, Hughes SJ, Mather KJ, Pandol SJ, Park WG, Feng Z, Serrano J, Rinaudo JAS, Srivastava S, Chari ST; Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer (CPDPC). A Prospective Study to Establish a New-Onset Diabetes Cohort: From the Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer. Pancreas. 2018 Nov/Dec;47(10):1244-1248. doi: 10.1097/MPA.0000000000001169.
- Lin QJ, Yang F, Jin C, Fu DL. Current status and progress of pancreatic cancer in China. World J Gastroenterol. 2015 Jul 14;21(26):7988-8003. doi: 10.3748/wjg.v21.i26.7988.
- Singhi AD, Koay EJ, Chari ST, Maitra A. Early Detection of Pancreatic Cancer: Opportunities and Challenges. Gastroenterology. 2019 May;156(7):2024-2040. doi: 10.1053/j.gastro.2019.01.259. Epub 2019 Feb 2.
- Pereira SP, Oldfield L, Ney A, Hart PA, Keane MG, Pandol SJ, Li D, Greenhalf W, Jeon CY, Koay EJ, Almario CV, Halloran C, Lennon AM, Costello E. Early detection of pancreatic cancer. Lancet Gastroenterol Hepatol. 2020 Jul;5(7):698-710. doi: 10.1016/S2468-1253(19)30416-9. Epub 2020 Mar 2.
Study record dates
Study Major Dates
Study Start (Actual)
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
Additional Relevant MeSH Terms
- Digestive System Diseases
- Pathologic Processes
- Neoplasms by Histologic Type
- Neoplasms
- Neoplasms by Site
- Neoplasms, Glandular and Epithelial
- Endocrine System Diseases
- Disease Attributes
- Digestive System Neoplasms
- Endocrine Gland Neoplasms
- Pancreatic Diseases
- Chronic Disease
- Pancreatic Neoplasms
- Pancreatitis
- Pancreatitis, Chronic
- Neoplasms, Cystic, Mucinous, and Serous
Other Study ID Numbers
- ChanghaiH-PP07
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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