Multiparametric Image Analysis and Correlation With Outcomes in Lung Cancer Screening and Early Stage Lung Cancer
Determine whether CT-based multiparametric analytical models may improve prediction of biopsy and treatment outcome in patients undergoing screening CT scan and/or treatment for early stage lung cancer
Ask AI to explain this studyKey things to know
This describes the study’s primary purpose.
The study team can explain what participation involves.
These are broad labels—not an eligibility decision.
Checked against the public recordLast updated Apr 22, 2026 · Source: ClinicalTrials.gov
The study is currently accepting participants.
Observational
Locations may change over time.
Study sponsor
What this study is about
- Purpose
- Not specified
- Study type
- Observational
- Phase
- Not applicable
- Sponsor
- University of Texas Southwestern Medical Center
- Interventions being studied
- Other: Retrospective Study
How this study is categorized
These labels come from structured fields and exact terms in the public record.
Who may be able to participate
The sponsor separates these requirements into two groups. You do not need to interpret them alone—use them to guide a conversation with the study team.
Patients that have been diagnosed with lung cancer, and are treated at Department of Radiation Oncology, UTSW or Parkland Memorial Hospital.
There will be no absolute
Important: This is the sponsor’s public criteria, not a determination of eligibility. The study team must review your individual situation.
U.S. locations
- UT Southwestern Medical CenterDallas, Texas
Source and freshness
Processed from ClinicalTrials.gov. Last public update: Apr 22, 2026. Always confirm current availability with the study team.