AI-Assisted Non-Contrast CT for Multi-Cancer Screening
Recruiting now · Not applicable
Conditions studied: Lung Cancers, Liver Cancer, Gastric Cancers, Colorectal, Cancer, Esophageal Cancer, Pancreatic Cancer, Breast Cancer
In brief
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.
Key facts
- Study ID
- NCT06632886
- Run by
- Guo ShiWei
- People needed
- 1000000
- Starts
- 2024-10-07
- Expected to finish
- 2027-10-07
- Last updated by the study team
- 2024-10-09
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Subject is able and willing to provide informed consent and sign an informed consent form.
- Subject has undergone an abdominal or chest non-contrast CT scan.
You may not qualify if…
- Subject has been diagnosed with one of the following cancers within the last five years: lung, liver, stomach, colon, esophageal, pancreatic, or breast cancer;
- Subject has any medical condition that contraindicates high-resolution MRI/CT/Endoscopy;
- Subject cannot be followed up or is participating in other clinical trials.
Where it is running
- Changhai Hospital — Shanghai, Shanghai Municipality, China (enrolling)
Full record on ClinicalTrials.gov
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