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About
The study is an interventional pilot study. The study is designed to be monocentric and it presents additional procedues.
Full description
Interventional pilot study, single-center with additional procedures, such as completion of EORTC-QLQ-LC29, EORTC-QLQ-C30 questionnaires, motivational test, Fagestrom test, anamnestic questionnaire, spirometry, measurement of carbon monoxide, Low-dose spiral computed tomography without contrast medium, peripheral venous blood sampling for a volume of 20 ml.
The study has the main objective of traininig and validate a reliable and unbiased Artificial Intelligence (AI) algorithm that detects the presence of nodules and differentiates between malignant or benign tumor types.
The study considers patients with suspected diagnosis or with a dignosis of lung cancer, smokers and former smokers over 50 years of age at high risk of lung cancer and subjects enrolled in previous screening cohorts at this Institute.
Enrollment
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Inclusion and exclusion criteria
High-risk screening subjects
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Exclusion Criteria:
Previous high-risk positive screening subjects
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Exclusion Criteria:
Previous high-risk negative screening subjects
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Exclusion Criteria:
Lung Cancer patients
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Primary purpose
Allocation
Interventional model
Masking
2,840 participants in 4 patient groups
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Central trial contact
Piergiorgio Muriana, MD
Data sourced from clinicaltrials.gov
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