Development of an Artificial Intelligence Model for the Identification and Prevention of Smoking-related Diseases.
ARtificial Intelligence for heAlth and Prevention of Smoking-related Diseases
Scientific Institute San Raffaele
2,840 participants
Oct 1, 2024
INTERVENTIONAL
Conditions
Summary
The study is an interventional pilot study. The study is designed to be monocentric and it presents additional procedues.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
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Interventions
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.
Peripheral venous blood sampling (20 ml)
sampling of tumor and healthy tissue during surgery
Spirometry measurement using spirometer
Compilation of epidemiological questionnaire, quality of life questionnaires
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
Measurment of Carbon monoxide (CO)
Intervention done in order to find the presence of coronary calcifications
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06626178