Blood test for lung cancer detection using nucleosome analysis

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study evaluates the diagnostic accuracy of the Nu.Q blood test for lung cancer in the Taiwanese population, comparing its performance with low-dose computed tomography (LDCT). It involves collecting 20 mL of blood from participants undergoing chest LDCT/CT, isolating plasma for Nu.Q analysis, and correlating results with lung cancer pathology findings. The study aims to enroll 500 participants to validate the test's effectiveness and explore its potential role in lung cancer prevention and survival outcomes.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Aged 20 or older
* Underwent a low-dose chest CT scan or a standard chest CT scan, showing lung nodules ≥ 6mm
* Individuals understand the content of the consent form and are willing to participate in this study.
* The lung nodule is assessed by a physician as high-risk, requiring thoracic surgery or biopsy for diagnosis

Exclusion Criteria:

* Pregnant women
* Individuals without capacity for consent, unable to understand the content of the consent form, or unwilling to participate in this study
* Assessed by a physician as unsuitable for thoracic surgery or biopsy for diagnosis

Where it's running

• National Taiwan University
  Taipei, Taiwan Recruiting

Study contacts

• Study coordinator: Pei-Hsing Chen, MD
• Email: chenph@ntu.edu.tw
• Phone: 886-2-2312-3456 Ext. 53422

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Comparing CT-guided Lung Biopsy vs Shape-Sensing Robotic Bronchoscopy for Small Nodules

  This trial tests whether shape-sensing robotic-assisted bronchoscopy with cone-beam CT can diagnose small lung nodules as well as the standard CT-guided lung biopsy, with a focus on safety.

  Recruiting at 3 sites Phase 4 Intuitive Surgical · Heidelberg and 2 other locations · NCT07761351

• Lung cancer and lung nodules: platelet RNA classifier test

  This study tests whether a platelet RNA-based test can help distinguish lung cancer from benign nodules in adults who have a new lung finding or cancer diagnosis.

  Recruiting at 2 sites University of Utah · Salt Lake City, Utah and 1 other locations · NCT07460440

• AI to diagnose and predict outcomes of lung nodules using smartphone photos

  This will test whether an AI model can use smartphone photos of removed lung nodules to diagnose the pathology and predict prognosis for adults undergoing surgery for lung nodules.

  Recruiting at 3 sites Anhui Provincial Hospital · Hefei, Anhui and 2 other locations · NCT07098884

• Biobank for identifying biomarkers in lung cancer

  This study is trying to find new ways to diagnose and treat lung cancer by collecting blood samples from patients at different stages of the disease.

  Recruiting University Hospital, Toulouse · Toulouse · NCT06054854

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.