Shanghai Changhai Hospital
Shanghai, 200433, China
Location status: Recruiting
Location contact
Beilei Wang, M.D.
CONTACT
Bimeng Zhang, M.D.
SUB_INVESTIGATOR
Gang Jin, M.D.
PRINCIPAL_INVESTIGATOR
NCT Number: NCT04743479
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.
Interested in participating?
Request Info50 year–75 year
All sexes
Observational
Shanghai, 200433, China
Location status: Recruiting
Beilei Wang, M.D.
CONTACT
Bimeng Zhang, M.D.
SUB_INVESTIGATOR
Gang Jin, M.D.
PRINCIPAL_INVESTIGATOR
The study is being run by a team of dedicated physicians and researchers, led by Jin Gang, MD, Director of Department of general surgery of Shanghai Changhai Hospital. The trial will include individuals with new-onset diabetes (diagnosed within the past 3 year), 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) as well as chronic pancreatitis. Participants will undergo annual laboratory tests and high-resolution MRI/CT examinations of the pancreas. Any suspicious lesions will be further examined by endoscopic ultrasound (EUS). If pancreatic cancer or a pre-cancerous lesion is identified, the individual will be referred for surgery. We will also be collecting a blood sample from all participants for DNA isolation. Clinical data and biological specimens contained in this study may be used for a wide variety of future related studies to the cause, diagnosis, outcome and treatment of pancreatic cancer.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion 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: questionnaire survey, laboratory tests
Time frame: 5 years
Determine incidence of pancreatic cancer or precursor lesions among high risk individuals.
Time frame: 5 years
Assesses the influence of risk factors on the incidence of pancreatic cancer or precursor lesions among high risk individuals.
Time frame: 5 years
Calculate survival time from point of diagnosis and treatment among the identified patients with pancreatic cancer.
Time frame: 5 years
Assesses the influence of risk factors on survival time among the identified patients with pancreatic cancer.
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.
Contact information is provided by the study sponsor or research team.
Beilei Wang, M.D.
CONTACT
Shiwei Guo, M.D.
CONTACT
Changhai Hospital
Other
Artificial Intelligence-based Health Information Management System and Key Technology Study of Early Screening and Hierarchical Diagnosis and Treatment of Pancreatic Cancer
Acronym: ESPRIT-AI
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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