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

Description

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

Lung Cancer

Study Overview

Study Details

Study overview

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

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

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

Condition
Lung Cancer
Intervention / Treatment

-

Contacts and Locations

Dallas

UT Southwestern Medical Center, Dallas, Texas, United States, 75390

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

    Ages Eligible for Study

    18 Years to 99 Years

    Sexes Eligible for Study

    ALL

    Accepts Healthy Volunteers

    No

    Collaborators and Investigators

    University of Texas Southwestern Medical Center,

    Jing Wang, MD, PRINCIPAL_INVESTIGATOR, UTSW Radiation Oncology

    Study Record Dates

    2028-03-15