An observational study in Pulmonary Nodules, Early Detection of Cancer and Lung Neoplasms, sponsored by Beijing Chao Yang Hospital. Not yet recruiting at 8 sites in China. Open to participants aged 18 Years to 75 Years. Per ClinicalTrials.gov, last updated 2026-10-20.
Sponsored by Beijing Chao Yang Hospital · Observational
This is a prospective, multicenter observational cohort study for patients with lung nodules suspicious for early-stage lung cancer. The study aims to build AI-assisted diagnostic models by integrating clinical data, CT imaging and multi-omics biomarkers, and validate a rapid evaluation system for bronchoscopic biopsy specimens. No investigational drugs or devices will be applied; all participants receive routine clinical care. We will collect clinical records, CT images, blood and tissue samples, and conduct long-term follow-up of disease outcomes. A total of 1050 subjects will be enrolled from 8 participating hospitals in China.
This is a multicenter, prospective, observational diagnostic cohort study conducted in China that comprises two substudies. Substudy 1 enrolls patients with lung nodules scheduled for surgical resection to enable multi-omics biomarker exploration and the development of an integrated clinical-imaging-immune artificial intelligence diagnostic model. Substudy 2 enrolls patients undergoing bronchoscopic biopsy for lung nodules to clinically validate a rapid microscopic tissue evaluation system. All participants will receive standard-of-care management without any study-specific therapeutic interventions. Baseline data, including demographics, smoking history, comorbidities, clinical symptoms, and thin-section CT imaging features, will be collected. Peripheral blood samples will be obtained for multi-omics analysis. For participants in Substudy 1, resected tissue specimens will be collected for histopathological assessment and multi-omics profiling, with postoperative paraffin pathology serving as the gold standard. For participants in Substudy 2, biopsy specimens will be assessed by the rapid microscopic evaluation system before routine pathological processing. Participants will undergo protocol-scheduled long-term follow-up. Follow-up assessments include clinical visits, chest CT scans, and documentation of recurrence, metastasis, and survival events. The primary objective is to evaluate the performance of multi-omics-enhanced artificial intelligence models in discriminating benign from malignant lung nodules in Substudy 1, as well as to assess the diagnostic concordance between the rapid microscopic biopsy evaluation system and paraffin pathology in Substudy 2. Secondary objectives include analyses of disease-free survival and overall survival, and identification of potential immune-related biomarkers for early-stage lung cancer. Uniform standard operating procedures (SOPs) for data collection will be implemented across all participating sites. Centralized quality control of image processing, biological sample handling, and clinical data entry will be conducted to reduce multicenter heterogeneity. Participants in Substudy 1 will be followed for at least 24 months, while those in Substudy 2 will be followed for at least 6 months. The target loss-to-follow-up rate is set at less than 10%.
191 studies on the registry are indexed under Multiple Pulmonary Nodules; 60 are open to participants now.
This study's planned enrollment of 1,050 is above the median of 300 across 90 observational studies indexed under Multiple Pulmonary Nodules.
Browse Multiple Pulmonary Nodules studies →Beijing Chao Yang Hospital is the lead sponsor of 139 studies on the registry; 50 are open to participants now.
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This study uses consecutive enrollment. It recruits participants meeting eligibility criteria. The study has two sub-studies.
Sub-study 1 includes patients with surgical resection. These patients have pulmonary nodules found on imaging and need clinical intervention. They are high-risk nodule patients from thoracic surgery or respiratory outpatient clinics. This is a multicenter study with seven tertiary teaching hospitals. The target sample size is 850. All sites use competitive enrollment.
Sub-study 2 includes patients receiving bronchoscopic biopsy. These patients have pulmonary nodules detected on imaging and need bronchoscopic biopsy. This is a two-center study with two tertiary teaching hospitals. The target sample size is 200.
All enrolled participants get follow-up after enrollment. Participants in Sub-study 1 are followed for 24 months. Participants in Sub-study 2 are followed for 6 months.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Sub-study 1:
Sub-study 2:
Exclusion Criteria:
Sub-study 1:
Sub-study 2:
Patients with pulmonary nodules who are scheduled to receive thoracic surgical resection. Biospecimens including serum, plasma, tumor tissue and NAT will be collected.
Patients with pulmonary nodules who will undergo bronchoscopic biopsy.No biological specimens will be collected.
Sub-study 1:Area under the receiver operating characteristic curve (AUC) of the multi-modal diagnostic model
To assess the diagnostic performance of the multi-modal model combining CT imaging, tumor autoantibodies and multi-omics data for differentiating early-stage lung cancer from benign pulmonary nodules. Pathological results serve as the gold standard. The primary endpoint is the AUC of the model.
Time frame: Up to 12 months after participant enrollment, after final pathological diagnosis of pulmonary nodules is obtained
Sub-study2:Area under the receiver operating characteristic curve (AUC) of three-dimensional interference microscopy
To evaluate the diagnostic performance of three-dimensional interference microscopy in differentiating malignant and benign pulmonary nodules based on bronchoscopic biopsy samples. Final pathological diagnosis is used as the gold standard. The primary outcome is the AUC of the microscopic imaging method.
Time frame: Up to 12 months after participant enrollment, after final pathological diagnosis is obtained
Sub-study1&2:Overall Survival (OS)
Overall survival is defined as the time from the date of surgery to death from any cause. All-cause mortality will be documented during the follow-up period.
Time frame: 24 months after participant enrollment
Sub-study1&2:Tumor recurrence or progression
Tumor recurrence or disease progression is determined according to the RECIST 1.1 criteria or comprehensive multidisciplinary judgment based on serial imaging and clinical data. Events include local recurrence, new lesion emergence, or significant enlargement of existing lesions.
Time frame: 24 months after participant enrollment
Sub-study1&2:Tumor metastasis
Tumor metastasis is defined as tumor spread to regional lymph nodes or distant organs during follow-up, confirmed by imaging evidence and comprehensive clinical evaluation. All metastatic events will be recorded.
Time frame: 24 months after participant enrollment
Sub-study1:Levels of lung cancer-associated autoantibodies
Exploratory detection of lung cancer-associated autoantibodies in serum samples collected from participants in the surgical sub-cohort. The distribution of autoantibody levels will be compared between malignant and benign pulmonary nodule groups.
Time frame: Up to 24 months after participant enrollment
Plan to share: No — Individual participant data will not be shared with external researchers due to participant privacy protection and local data management regulations. The aggregate study results will be available via publication in peer-reviewed journals.
No publications or documents are linked to this record.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
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