Status:

UNKNOWN

Image Mining and ctDNA to Improve Risk Stratification and Outcome Prediction in NSCLC Applying Artificial Intelligence.

Lead Sponsor:

IRCCS San Raffaele

Conditions:

Non Small Cell Lung Cancer

Eligibility:

All Genders

18-70 years

Brief Summary

Lung cancer is the leading cause of cancer-related death in Europe. Pathological staging is the gold standard, but it can be influenced by neo-adjuvant treatment and number of sampled lymph nodes; it ...

Detailed Description

Our central hypothesis is that peculiar image-derived and genetic characteristics are consistent with disease stage and patient outcome. Therefore, they are biomarkers of disease burden and relapse, w...

Eligibility Criteria

Inclusion

  • Patients with new pathological diagnosis of lung cancer, available baseline imaging (CT and FDG-PET/CT), age \> 18 years, and eligibility for surgery will be considered for inclusion.

Exclusion

  • pregnant or breast- feeding women.

Key Trial Info

Start Date :

July 10 2020

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

June 1 2025

Estimated Enrollment :

415 Patients enrolled

Trial Details

Trial ID

NCT06163846

Start Date

July 10 2020

End Date

June 1 2025

Last Update

December 20 2023

Active Locations (1)

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Irccs San Raffaele

Milan, Italy, 20132

Image Mining and ctDNA to Improve Risk Stratification and Outcome Prediction in NSCLC Applying Artificial Intelligence. | DecenTrialz