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Multiparametric Image Analysis and Correlation With Outcomes in Lung Cancer Screening and Early Stage Lung Cancer

NCT03563976 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2026-04-22

No results posted yet for this study

Summary

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

Conditions

Interventions

OTHER

Retrospective Study

The medical charts are the subjects. The institutional charts will be identified by the use of definitive radiation therapy correlating with an early stage lung cancer diagnosis during the above time frame. The data from these charts will be entered into a password protected excel spreadsheet. The charts will be identified by name, medical record number, date of birth, and social security number. These are all patients treated by all hospitals and clinics affiliated with UTSW and Parkland. At the time of study, some of the patients will have expired but some will be alive and in the regional North Texas area. Thus, given the minimal risk nature of this retrospective chart review, we could not reasonably conduct this research with a full waiver of consent. The NLST external dataset is proved by the NCI, with no identifying characteristics.

Sponsors & Collaborators

  • University of Texas Southwestern Medical Center

    lead OTHER

Principal Investigators

  • Jing Wang, MD · UTSW Radiation Oncology

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-02-18
Primary Completion
2029-06-30
Completion
2031-06-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03563976 on ClinicalTrials.gov