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Development of an Artificial Intelligence Model for the Identification and Prevention of Smoking-related Diseases.
Sponsor: Scientific Institute San Raffaele
Summary
The study is an interventional pilot study. The study is designed to be monocentric and it presents additional procedues.
Official title: ARtificial Intelligence for heAlth and Prevention of Smoking-related Diseases
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
2840
Start Date
2024-10-01
Completion Date
2028-11-01
Last Updated
2024-10-03
Healthy Volunteers
Yes
Interventions
Computed tomography (CT) scan low dose
The radiological investigation will be done with multi-detector-row (64 or more) computed tomography (CT) scanners at low-dose protocol. The low-dose spiral CT consists of a CT study of the chest, without the need for injection of contrast medium, characterized by less radio exposure than the standard CT of the chest with high sensitivity in detecting pulmonary nodules.
Blood sampling
Peripheral venous blood sampling (20 ml)
Tissue sampling (lung)
sampling of tumor and healthy tissue during surgery
Spirometry
Spirometry measurement using spirometer
Questionnaires
Compilation of epidemiological questionnaire, quality of life questionnaires
Smoking cessation program
Study guarantee valid support for quitting smoking, which for a smoker is a more effective intervention to reduce the risk of developing lung cancer, myocardial infarction and other smoking-related diseases
Carbon monoxide measurment
Measurment of Carbon monoxide (CO)
Cardiovascular primary prevention
Intervention done in order to find the presence of coronary calcifications
Locations (1)
Scientific Institute Ospedale San Raffaele
Milan, Italy