Actively Recruiting

Phase Not Applicable
Age: 50Years - 80Years
All Genders
Healthy Volunteers
NCT07408531

LUNG-07: Advancing Precision-Based Lung Cancer Screening: Implementation, AI-Guided Risk Stratification, and Biomarker Integration (CREST AI)

Led by University of Illinois at Chicago · Updated on 2026-04-13

2500

Participants Needed

2

Research Sites

620 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

This research study aims to investigate methods for enhancing lung cancer screening. The study will investigate whether an artificial intelligence (AI) tool, known as Sybil, can aid in predicting the risk of lung cancer. The investigators will also examine whether expanding the screening criteria (based on the guidelines of the Potter and American Cancer Society (ACS)) can help identify individuals at risk who are not currently included in the U.S. Preventive Services Task Force (USPSTF) guidelines.

CONDITIONS

Official Title

LUNG-07: Advancing Precision-Based Lung Cancer Screening: Implementation, AI-Guided Risk Stratification, and Biomarker Integration (CREST AI)

Who Can Participate

Age: 50Years - 80Years
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Age between 50 and 80 years at the time of consent
  • Meets at least one lung cancer screening eligibility: USPSTF criteria of 20 or more pack-years and currently smoking or quit within 15 years; Potter criteria of 20 years smoking regardless of intensity; or ACS criteria of 20 or more pack-years with no quit time restriction
  • Receiving or scheduled for low-dose CT scan through the UI Health Lung Screening Program
  • Willing to watch an educational video about Sybil AI scoring and lung cancer screening, complete surveys if chosen, and provide blood samples optionally
  • Able to provide written informed consent and HIPAA authorization
  • Women of childbearing potential must not be pregnant or breastfeeding and must have a negative pregnancy test
  • Able to understand and follow study procedures for the entire study length as judged by study staff
Not Eligible

You will not qualify if you...

  • Unable to undergo low-dose CT scan
  • Current diagnosis or history of lung cancer within 5 years prior to enrollment
  • Life expectancy less than 1 year
  • Active lung infection requiring systemic therapy
  • Vulnerable populations such as prisoners and pregnant or nursing women due to radiation exposure risks
  • Major comorbid conditions as determined by the study principal investigator
  • Any mental or medical condition preventing informed consent or study participation

AI-Screening

AI-Powered Screening

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Trial Site Locations

Total: 2 locations

1

University of Illinois Cancer Center

Chicago, Illinois, United States, 60612

Actively Recruiting

2

UI Health 55th and Pulaski Health Collaborative

Chicago, Illinois, United States, 60629

Actively Recruiting

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Research Team

M

Mary Pasquinelli, DNP

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

NON_RANDOMIZED

Model

PARALLEL

Primary Purpose

SCREENING

Number of Arms

3

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LUNG-07: Advancing Precision-Based Lung Cancer Screening: Implementation, AI-Guided Risk Stratification, and Biomarker Integration (CREST AI) | DecenTrialz