Active Not RecruitingNot applicableNCT07581379

Advancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations

This observational study evaluates the effectiveness of computed tomography (CT) imaging surveillance after curative-intent treatment for stage I-IIIA non-small cell lung cancer (NSCLC) in a diverse U.S. population. The main questions are: How do CT surveillance use and adherence vary by race, ethnicity, and socioeconomic status? Does semi-annual CT surveillance improve outcomes compared with annual surveillance? Adults ages 20-90 with stage I-IIIA NSCLC treated between 2012 and 2026 will be identified using OneFlorida+ electronic health records, tumor registry data, claims, and clinical notes. Patients will be followed for up to five years after curative-intent therapy to evaluate surveillance patterns, recurrence, second primary lung cancers, complications, and survival.

Checked against the public recordLast updated May 12, 2026 · Source: ClinicalTrials.gov

StatusActive Not Recruiting
PhaseNot applicable
U.S. locations1
SponsorUniversity of Florida
01
Study overview

What this study is about

Purpose
Not specified
Study type
Observational
Phase
Not applicable
Sponsor
University of Florida
Interventions being studied
Not specified
02
Explore related studies

How this study is categorized

These labels come from structured fields and exact terms in the public record.

03
Public criteria

Who may be able to participate

Inclusion Criteria: * Adults diagnosed with primary, pathologically confirmed stage I-IIIA non- small cell lung cancer (NSCLC). * Received curative-intent therapy, including: Surgical resection, or Stereotactic body radiation therapy (SBRT), with or without adjuvant therapy. * Completed curative-intent therapy and survived at least 5 months after therapy initiation. * Received care within the University of Florida (Gainesville or Jacksonville) health system, and are included in the OneFlorida+ clinical data network. * Have available: Structured EHR data (including tumor registry linkage, imaging, procedures, and vital statistics), and Unstructured clinical documents (clinic notes, radiology reports, pathology reports) enable NLP extraction. \- Have ≥1 follow-up encounter in the EHR after treatment completion to allow surveillance assessment. Exclusion Criteria: * Histology other than NSCLC, including: Small-cell lung cancer Carcinoid tumors Rare non-NSCLC primary tumors * Metastatic disease (stage IV) at diagnosis. * No curative-intent therapy received (e.g., palliative treatment only). * Patients with incomplete treatment records prevent the determination of the treatment completion date. * Patients with no surveillance-relevant follow-up data, including: No post-treatment clinical notes No radiology/pathology records No linked tumor registry or vital status data * Patients with recurrence or who die within the first 5 months after starting curative-intent therapy (insufficient window for guideline-defined surveillance). * Patients with missing identifiers prevent linkage to cancer registries or the death index. * Individuals whose imaging cannot be classified as surveillance vs. diagnostic due to the absence of relevant structured or unstructured data.

Important: This is the sponsor’s public criteria, not a determination of eligibility. The study team must review your individual situation.

04
Study sites

U.S. locations

  • University of Florida College of MedicineGainesville, Florida

Source and freshness
Processed from ClinicalTrials.gov. Last public update: May 12, 2026. Always confirm current availability with the study team.

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