NCT07068139Completed
AI-Based Prediction of Stage and Survival in Non-Small Cell Lung Cancer: A Retrospective Study
The Role of Artificial Intelligence in Predicting Stage and Survival in Non-Small Cell Lung Cancer
Source: ClinicalTrials.gov · Last updated 15 Jul 2026
Brief summary (registry, in English)
This study aims to evaluate the role of artificial intelligence (AI) in predicting disease stage and survival in patients diagnosed with non-small cell lung cancer (NSCLC). Using a retrospective design, the research will analyze radiologic imaging data (PET-CT and chest CT) and corresponding histopathological results of patients who underwent lung cancer surgery at Ondokuz Mayis University Hospital. The goal is to develop and validate a deep learning-based AI model that can automatically assess preoperative radiologic features and estimate postoperative tumor stage and survival outcomes. By integrating radiologic data with confirmed pathological diagnoses, the AI system is expected to provide clinical decision support that can improve diagnostic speed, reduce human error, and help clinicians predict prognosis more accurately. This study does not involve any experimental treatment or prospective follow-up of patients. All data will be collected from existing medical records. The findings may contribute to the digital transformation of healthcare and promote the use of AI tools in thoracic oncology.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 156 (actual)
- First submitted
- 7 Jul 2025
- Start date
- 1 Jan 2010
- Primary completion date
- 1 May 2026
- Lead sponsor
- Hilkat Fatih Elverdi
- Diseases
- Lung cancer
- NCT number
- NCT07068139
What you commit to
- Study type: Observational
- Participants enrolled: 156
- From 1 Jan 2010 to the primary completion date, 1 May 2026
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Patients who did not undergo surgery
Other illness
- Diagnosed with a type of lung cancer other than NSCLC
Age
- Age \< 18 years
Other
- No available PET-CT or chest CT imaging in hospital records
- No available histopathological diagnosis in hospital records
- Patients who did not provide informed consent for retrospective data use
Who the study is looking for
- Age ≥ 18 years
- Diagnosed with non-small cell lung cancer (NSCLC)
- Underwent surgical treatment for NSCLC at Ondokuz Mayis University Hospital
- Available preoperative PET-CT and chest CT imaging
- Available postoperative histopathological diagnosis and staging
- Signed informed consent form for data use in research
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.