CT image analysis to predict biopsy results and outcomes in early lung cancer
Official title: Multi Parametric Image Analysis and Correlation With Outcomes in Lung Cancer Screening and Early Stage Lung Cancer
Run by University of Texas Southwestern Medical Center · NCT03563976 · Data updated 2026-11-12
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 |
|---|---|
| Ages | 18 Years to 99 Years |
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | University of Texas Southwestern Medical Center Academic / other |
| Drugs / interventions | Radiation |
| Locations | 1 site (Dallas, Texas) |
| Status | Recruiting |
| Started | February 18, 2015 |
| Main results expected | June 30, 2029 |
| Study ends | June 30, 2031 |
| Registry record updated | April 22, 2026 |
| Trial ID | NCT03563976 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a 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.
✕Probably 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.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
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.
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 gone: Prior radiomics and multiparametric CT studies have shown promising results in predicting malignancy and outcomes but have not yet become routine clinical practice.
Who can join: the full rules
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 it's running
-
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
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
ePRO in advanced lung cancer: emotional distress, brain metastasis, and symptom burden
This study tests how patients with advanced lung cancer—some with brain metastases—report emotional distress and symptoms over time using electronic questionnaires.
-
Urine VOC Test to Detect Lung Cancer in Never Smokers
A urine test that looks for volatile compounds is tested to see if it can help detect lung cancer in adults who have never smoked.
-
SI-B036 safety test in advanced and metastatic solid tumors
This early-phase study checks whether SI-B036 is safe and tolerable in adults with advanced or metastatic solid cancers who have had prior therapy.
-
Guaraná Supplement for Cancer-Related Fatigue in People Undergoing Treatment
This study tests whether taking guaraná capsules helps reduce cancer-related fatigue and improve quality of life in adults with breast, lung, colorectal, or gastric cancer who are actively receiving treatment.
-
ENPP1/cGAS and FAP in Solid Tumors in Vietnamese Patients
This Vietnam-based study will test ENPP1, cGAS, and FAP expression in archived tumor samples from Vietnamese adults with solid cancers using immunohistochemistry.
-
Olive oil before lung cancer surgery to see if it lowers chylothorax
This study tests whether drinking 40 mL of extra-virgin olive oil a few hours before lung cancer surgery can reduce chylothorax after tumor removal.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.