Actively Recruiting
AI-Assisted Non-Contrast CT for Multi-Cancer Screening
Led by Guo ShiWei · Updated on 2024-10-09
1000000
Participants Needed
1
Research Sites
156 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Cancer poses a major public health challenge in China. Early detection can improve treatment outcomes and survival rates. In this study, we will conduct a large-scale, prospective, multi-center cohort study to evaluate the utility of AI-assisted non-contrast CT for multi-cancer screening. The study aims to enroll 1 million asymptomatic participants undergoing routine health examinations, using an AI imaging model based on non-contrast CT to detect seven cancers such as lung, liver, gastric, colorectal, esophageal, pancreatic, and breast cancers. Positive cases will be required to be referred to Shanghai Changhai Hospital for further imaging and care based on National Comprehensive Cancer Network (NCCN) and American College of Radiology (ACR) guidelines. The goal is to assess the AI model's diagnostic performance for seven cancer types, especially for early-stage, resectable tumors.
CONDITIONS
Official Title
AI-Assisted Non-Contrast CT for Multi-Cancer Screening
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Able and willing to provide informed consent
- Has undergone an abdominal or chest non-contrast CT scan
You will not qualify if you...
- Diagnosed with lung, liver, stomach, colon, esophageal, pancreatic, or breast cancer within the last five years
- Has any medical condition that contraindicates high-resolution MRI, CT with contrast, or endoscopy
- Cannot be followed up or is participating in other clinical trials
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Changhai Hospital
Shanghai, Shanghai Municipality, China, 200433
Actively Recruiting
Research Team
W
Wang Beilei, M.D.
CONTACT
G
Guo Shiwei, M.D.
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
DIAGNOSTIC
Number of Arms
1
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