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Next Generation Chest X-Ray Tomosynthesis for Screening of Lung Cancer

Chest X-ray Tomosynthesis for Detection of Lung Cancer and Lung Disease

Who can join

As published by the study on ClinicalTrials.gov. "Not stated" means the study hasn't said — ask the study team.

Age
30 Years to 85 Years
Sex
All sexes
Healthy volunteers
Accepted
Compensation
Not stated

Other requirements are listed under Eligibility below. Only the study team can confirm whether you can join.

What to expect

No one can promise a trial will help you personally — that is what the research is trying to find out.

What participation involves

  • Procedures mentioned: CT scans, X-rays

Only what the study's summary and detailed description on ClinicalTrials.gov say. Time periods may describe the whole study or a part of it — ask the study team what applies to you.

Show the study's own words
  • "The goal of this observational clinical trial is to learn if chest tomosynthesis is a potential alternative to computed tomography for the detection of lung cancer."
  • "The main questions it aims to answer are: * What is the accuracy of chest X-ray tomosynthesis in diagnosing lung cancer in a population of individuals undergoing lung cancer screening or evaluation of a suspicious lung nodule? * Can artificial intelligence help us detect lung cancer on chest tomosynthesis images?"
  • "Researchers will compare chest tomosynthesis images to computed tomography scans for each participant to see how they compare in diagnosing lung cancer."
  • "Participants will a chest tomosynthesis scan in addition to their routine clinical computed tomography scan."
  • "We have partnered to develop a novel chest x-ray tomosynthesis (CXRT) device with the hypothesis that this device might be an alternative to CT for detection of lung cancer."
Compensation
Not stated
  • Study-related exams and procedures are typically provided at no cost. This is how many trials work in general — confirm the details for this study with the study team.
  • Participants are monitored closely by the research team throughout the study.
  • Some participants may receive access to an investigational treatment, which is still being studied.
  • Your participation helps researchers learn whether this approach could help future patients.

About this study

In plain language

This study tests whether chest tomosynthesis, a type of chest X-ray scan, can find lung cancer as well as a CT scan. It is for people getting lung cancer screening, having a suspicious lung spot checked, or newly diagnosed with lung cancer. Participants will get the X-ray scan along with their usual CT scan, and researchers will study whether artificial intelligence can help find cancer in the X-ray images.

The goal of this observational clinical trial is to learn if chest tomosynthesis is a potential alternative to computed tomography for the detection of lung cancer. It will also develop artificial intelligence tools to aid in the diagnosis of lung cancer on chest tomosynthesis images. The main questions it aims to answer are: * What is the accuracy of chest X-ray tomosynthesis in diagnosing lung cancer in a population of individuals undergoing lung cancer screening or evaluation of a suspicious lung nodule? * Can artificial intelligence help us detect lung cancer on chest tomosynthesis images? Researchers will compare chest tomosynthesis images to computed tomography scans for each participant to see how they compare in diagnosing lung cancer. Participants will a chest tomosynthesis scan in addition to their routine clinical computed tomography scan.

Compensation is read from the study's own description and may be missing — always confirm with the study team.

Eligibility

Who can join

  • You are getting screened for lung cancer, having a suspicious lung nodule (a spot in the lung) checked, or have a new lung cancer diagnosis.

Who can't join

  • You have had treatment for lung cancer before.

Simplified for readability. The official criteria below are what the study team uses.

Official eligibility criteria

Inclusion Criteria: * undergoing lung cancer screening * undergoing evaluation of suspicious pulmonary nodule * newly diagnosed lung cancer Exclusion Criteria: * prior history of lung cancer treatment

Study sites (1)

CA