New Method to Differentiate Benign and Malignant Pulmonary Nodules.
NCT06056999 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 150
Last updated 2024-12-18
Summary
The goal of this observational clinical trial is to establish a new method for differentiating benign and malignant pulmonary nodules by peripheral blood detection in patients with pulmonary nodules (\<3cm). The main questions it aims to answer is: How to combine blood metabolomic mass spectrometry detection and artificial intelligence image analysis to establish a new model for differentiating benign and malignant pulmonary nodules. Participants will be asked provide 4 mL peripheral blood for the test.
Conditions
- Pulmonary Nodules
Sponsors & Collaborators
-
China-Japan Friendship Hospital
lead OTHER
Principal Investigators
-
Guangying Zhu · China-Japan Friendship Hospital
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-09-29
- Primary Completion
- 2025-01-31
- Completion
- 2025-07-31
Countries
- China
Study Locations
More Related Trials
-
Constructing a Predictive Model for Differentiating Between Benign and Malignant Solid Pulmonary Nodules Based on Clinical and Imaging Features.
NCT06685458 ·Status: NOT_YET_RECRUITING
-
DNA Methylation Combined With Artificial Intelligence Imaging to Identify Lung Nodules
NCT06220305 ·Status: RECRUITING
-
Circulating Tumor DNA Methylation Test to Differentiate Benign and Malignant Pulmonary Nodules
NCT03181490 ·Status: COMPLETED
-
Monitoring the Changes of Tumor-related Biomarkers Before and After Pulmonary Nodule Biopsy.
NCT03397355 ·Status: UNKNOWN
-
Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer
NCT06684418 ·Status: RECRUITING
-
The MDA Test to Differentiate of Benign and Malignant Pulmonary Nodules
NCT03790735 ·Status: UNKNOWN
-
Early Diagnosis of Small Pulmonary Nodules by Multi-omics Sequencing
NCT03320044 ·Status: COMPLETED
-
Deep Learning Model for Pure Solid Nodules Classification
NCT05542992 ·Status: UNKNOWN
-
MRI and Biomarkers for Lung Nodules Detected During Lung Cancer Screening
NCT05699213 ·Status: RECRUITING
-
Evaluate the Auxiliary Diagnostic Value of Circulating Tumor Cells in Benign and Malignant Lung Nodules
NCT02653859 ·Status: UNKNOWN
-
Radiofrequency Ablation of Malignant Pulmonary Nodules
NCT02629978 ·Status: UNKNOWN ·Phase: NA
-
Evaluation of Lung Nodule Detection With Artificial Intelligence Assisted Computed Tomography in North China
NCT03487952 ·Status: UNKNOWN
-
Prediction Model for Multiple Pulmonary Nodules
NCT03795181 ·Status: COMPLETED
-
Low-dose Computed Tomography-guided Core Needle Biopsy for Lung Nodules
NCT04217655 ·Status: COMPLETED ·Phase: NA
-
Validating Artificial Intelligence Effectiveness Defined Lung Nodule Malignancy Score in Patients With Pulmonary Nodule.
NCT05817110 ·Status: ACTIVE_NOT_RECRUITING
-
Diagnosis of Individuals With Pulmonary Nodules by Different Bronchoscopy Combination
NCT02268162 ·Status: UNKNOWN ·Phase: NA
-
A Prospective Cohort Study of Chinese Patients With Pulmonary Nodules: Prediction of Lung Cancer Using Noninvasive Biomarkers
NCT04462185 ·Status: UNKNOWN
-
Breath Combined With CT for Diagnoses of Pulmonary Nodules
NCT04948047 ·Status: UNKNOWN
-
Methylation of cfDNA in Diagnosing and Monitoring Pulmonary Nodule
NCT03989219 ·Status: COMPLETED
-
Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer
NCT05425134 ·Status: UNKNOWN
-
Real-Time Non-Invasive Localization for Multiple Lung Nodules
NCT07257549 ·Status: COMPLETED ·Phase: NA
-
Nodify XL2 Classifier Clinical Utility Study in Low to Moderate Risk Lung Nodules
NCT04171492 ·Status: ACTIVE_NOT_RECRUITING
-
AI Determine Malignancy of GGO on Chest CT
NCT06282068 ·Status: ENROLLING_BY_INVITATION
-
The Early Diagnosis of Pulmonary Nodule Based on Multi-dimension Messages
NCT04005677 ·Status: UNKNOWN
-
The Accuracy of Targeted Lymph Node Dissection of Non-small Cell Lung Cancer Patients According to Predictive Models
NCT06768853 ·Status: NOT_YET_RECRUITING ·Phase: NA