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

> **NCT06163846** · — · UNKNOWN · sponsor: **IRCCS San Raffaele** · enrollment: 415 (estimated)

## Conditions studied

- Non Small Cell Lung Cancer

## Interventions

- **DIAGNOSTIC_TEST:** Assess the role of baseline image mining, ctDNA data and their combination in patient staging and risk stratification

## Key facts

- **NCT ID:** NCT06163846
- **Lead sponsor:** IRCCS San Raffaele
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2020-07-10
- **Primary completion:** 2020-12-10
- **Final completion:** 2025-06
- **Target enrollment:** 415 (ESTIMATED)
- **Last updated:** 2023-12-20


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06163846

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06163846, "Image Mining and ctDNA to Improve Risk Stratification and Outcome Prediction in NSCLC Applying Artificial Intelligence.". Retrieved via AI Analytics 2026-06-03 from https://api.ai-analytics.org/clinical/NCT06163846. Licensed CC0.

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