A Prospective Clinical Study Evaluating the Noninvasive Use of Circulating Cell-Free DNA Fragmentomics to Differentiate Benign and Malignant Lung Nodules, With Emphasis on Small Nodules.

Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Observational
SUMMARY

The goal of this observational study is to learn if cfDNA fragmentomics can noninvasively diagnose whether lung nodules are benign or malignant in adults with imaging-detected lung nodules.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• Age ≥ 18 years;

• Positive for lung nodules on low-dose spiral CT (LDCT) meeting one of the following criteria:

⁃ Solid or part-solid nodules ≥ 5 mm and ≤ 20 mm; Pure ground-glass nodules ≥ 8 mm and ≤ 30 mm; In cases of multiple nodules, the largest nodule (by maximum diameter) must meet these criteria;

• Participants whose lung nodule status (benign or malignant) can be clinically confirmed;

• No cancer-directed therapy (e.g., chemotherapy, radiotherapy, immunotherapy, cell therapy) within the past 3 months;

• Able to provide a 5 mL peripheral blood sample prior to any treatment;

• Voluntary signing of informed consent after full explanation of the study.

Locations
Other Locations
China
Shanghai Chest Hospital
RECRUITING
Shanghai
Contact Information
Primary
Xuan Wang
dst.ding@gmail.com
+8613524594847
Time Frame
Start Date: 2024-08-21
Estimated Completion Date: 2026-08-21
Participants
Target number of participants: 240
Treatments
Training Cohort
A group of 160 adults with imaging-detected lung nodules who will each provide a blood sample for cfDNA fragmentomics analysis. Data from this cohort will be used to train the diagnostic algorithm, teaching it to recognize the cfDNA patterns that distinguish benign from malignant nodules.
Validation Cohort
An independent set of 80 adults with similar imaging-detected lung nodules. These participants will undergo the same blood sampling and cfDNA analysis, and their confirmed diagnoses (benign or malignant) will be used to evaluate the algorithm's performance-measuring sensitivity, specificity, accuracy, and area under the ROC curve.
Related Therapeutic Areas
Sponsors
Leads: Baohui Han

This content was sourced from clinicaltrials.gov