Clinical trial Recruiting at 1 site Observational Ages 18 and up

Early screening and diagnosis of lung nodules using non-invasive biomarkers and imaging.

Official title: Research on Precise Early Screening and Diagnosis of Pulmonary Nodules Based on a Novel Multidimensional Non-invasive Approach

Run by Peking University People's Hospital · NCT07370077 · Data updated 2026-11-12

This project will test whether combining breath and blood metabolite profiles with CT image features and blood DNA can better detect early lung cancer in adults with small pulmonary nodules.

More Lung Cancer trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment1800 (estimated)
SponsorPeking University People's Hospital
Academic / other
Drugs / interventionschemotherapy
Locations1 site (Beijing, Beijing Municipality)
StatusRecruiting
StartedDecember 31, 2022
Main results expectedJune 30, 2026
Study endsJune 30, 2026
Registry record updatedJanuary 27, 2026
Trial IDNCT07370077 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults over 18 with pulmonary nodules under 3 cm who can provide exhaled breath, blood, and raw CT data collected within one month before planned biopsy or surgical resection and who have no prior anti-tumor treatment are ideal candidates.

Probably not a fit

Patients with active infection, severe comorbidities, abnormal liver or kidney function, prior malignancy, or without resected lesions and definitive pathology are unlikely to benefit from this protocol.

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

What this trial studies

This is a prospective observational effort enrolling patients with pulmonary nodules who undergo surgical resection and definitive pathology, along with matched benign-nodule subjects and healthy controls. The protocol collects exhaled breath and plasma metabolomics, CT radiomics, and liquid biopsy (ctDNA) samples within one month before biopsy or surgery. Large-sample multi-omics data will be integrated using machine learning and deep learning models (for example SVM, HRNet, PAResNet) to build a multi-dimensional, sequential decision system that uses metabolomics for primary screening and radiomics/ctDNA for subsequent differentiation and diagnosis. The goal is to reduce false positives from CT screening and provide a non- or minimally-invasive pathway to more accurate early diagnosis.

Why it matters

Potential benefit: If successful, this approach could lower CT false positives, reduce unnecessary surgeries, and enable earlier, more precise detection of lung cancer.

How similar studies have gone: Individual components such as ctDNA, radiomics, and metabolomics have shown promise in prior research, but combining them into a sequential multi-omics diagnostic pathway remains relatively novel.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria

1. Age \>18 years old.
2. Availability of both exhaled breath and peripheral blood samples, and raw CT image data; the collection time is within one month before biopsy or surgical resection, and the subject has not received any treatment in between.
3. Pulmonary nodular lesions identified by chest CT with a diameter \< 3 cm.
4. Pulmonary nodular lesions must be surgically resected and have complete, definitive pathological information regarding their benign or malignant nature.
5. No prior history of malignant tumors.
6. Has not received anti-tumor treatments such as radiotherapy, chemotherapy, or targeted therapy.
7. Signed informed consent.

Exclusion Criteria

1. Missing clinical data or incomplete sample collection.
2. Presence or suspicion of active infection or other severe co-morbidities.
3. Abnormal liver or kidney function.
4. Indefinite or inconclusive postoperative pathological results.

Where it's running

  • Peking University People's Hospital
    Beijing, Beijing Municipality, China
    Recruiting

Study contacts

Similar studies

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

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.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.