CT image analysis to predict biopsy results and outcomes in early lung cancer
Multi Parametric Image Analysis and Correlation With Outcomes in Lung Cancer Screening and Early Stage Lung Cancer
This project will test whether detailed features taken from screening CT scans can help predict which lung nodules are cancer on biopsy and how early-stage lung cancer patients will do.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 2000 (estimated) |
| Ages | 18 Years to 99 Years |
| Sex | All |
| Sponsor | University of Texas Southwestern Medical Center Academic / other |
| Drugs / interventions | Radiation |
| Locations | 1 site (Dallas, Texas) |
| Trial ID | NCT03563976 on ClinicalTrials.gov |
What this trial studies
Researchers will retrospectively review imaging and clinical records from about 200 patients treated for early-stage lung cancer at UT Southwestern or Parkland between 2004 and 2014 and extract complex CT image features. They will build multiparametric prognostic models that combine those image features to predict biopsy outcomes and clinical course. The models will then be validated using the anonymized National Lung Screening Trial (NLST) imaging and outcomes dataset. This work involves no new treatments or procedures and uses existing medical records and imaging data only.
Who should consider this trial
Good fit: Ideal candidates for inclusion are patients diagnosed with lung cancer who had screening CTs and were treated at the Department of Radiation Oncology at UT Southwestern or Parkland Memorial Hospital between January 1, 2004 and October 31, 2014.
Not a fit: Patients without available CT imaging, treated entirely at other institutions, or with advanced-stage disease are unlikely to be represented or to receive direct benefit from this retrospective analysis.
Why it matters
Potential benefit: If successful, the approach could help doctors better target biopsies and personalize early-stage treatment decisions, potentially reducing unnecessary invasive procedures.
How similar studies have performed: Prior radiomics and multiparametric CT studies have shown promising results in predicting malignancy and outcomes but have not yet become routine clinical practice.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: Patients that have been diagnosed with lung cancer, and are treated at Department of Radiation Oncology, UTSW or Parkland Memorial Hospital. Exclusion Criteria: There will be no absolute exclusion criteria as long as the inclusion criteria have been met.
Where this trial is running
Dallas, Texas
- UT Southwestern Medical Center — Dallas, Texas, United States (Recruiting)
Study contacts
- Principal investigator: Jing Wang, MD — UTSW Radiation Oncology
- Study coordinator: Sarah Neufeld, MS
- Email: Sarah.hardee@UTSouthwestern.edu
- Phone: 214-648-1836
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.