Recruiting

Development of an Artificial Intelligence Model for the Identification and Prevention of Smoking-related Diseases.

About this study

The study is an interventional pilot study. The study is designed to be monocentric and it presents additional procedues.

Condition: Lung Cancer Screening Program, Artificial Intelligence (AI)
Tested: Computed tomography (CT) scan low dose, Blood sampling, Tissue sampling (lung), Spirometry, Questionnaires, Smoking cess...
Sponsor: Scientific Institute San Raffaele

Minimum age: 18 years
Study condition: Lung Cancer Screening Program, Artificial Intelligence (AI)
High-risk screening subjects
Age \>= 50 years old
Active smokers
Former smokers (from no more than 15 years)
Pack/year \>20
Risk-prediction model from Prostate, Lung, Colorectal, and Ovarian study (PLCOm2012) \>1.2%
Provision and signature of informed consent
Subjects enrolled in previous lung cancer screening with the presence of lung nodules \>4 mm and candidate to additional computed tomography (CT)
Signed informed consent
Subjects enrolled in previous lung cancer screening in this Institute with negative computed tomography (CT)
Patients with diagnosis or suspicious diagnosis of lung cancer candidate to surgical treatment or already submitted to it
Patients with diagnosis of lung cancer treated with surgical resection

Previous or concurrent neoplastic disease, excluding skin cancers
Cognitive or other problems that could hinder the collection of informed consent
Severe pulmonary or extra pulmonary disease
Previous low-dose computed tomography (CT) scan in the past 12 months
Previous high-risk positive screening subjects
\- None
Previous high-risk negative screening subjects
Lung Cancer patients
computed tomography (CT) scans not available at San Raffaele Hospital
Previous neoadjuvant treatment

1 site, 1 recruiting

Scientific Institute Ospedale San Raffaele

Milan, Italy

Recruiting

Potential match only. Final eligibility is determined by the study team.