EligibleTrials

Artificial Intelligence-based Early Screening of Pancreatic Cancer and High Risk Tracing (ESPRIT-AI)

Recruiting · NCT04743479 · Observational (researchers observe without assigning treatment) · Lead sponsor: Changhai Hospital

View the official record on ClinicalTrials.gov →
Pancreatic Cancer

Interventions studied

high-resolution MRI/CT examinations

What this trial is about

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.

Who can take part

Age range
50 Years to 75 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)

Inclusion criteria

Exclusion criteria

Where it is running

1 location listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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