Clinical Trials Logo
  1. Home
  2. Multiple Pulmonary Nodules
  3. NCT06458673

A Prospective, Non-interventional Cohort Study of Subsolid Pulmonary Nodules

Multiple Pulmonary Nodules Clinical Trial

Official title:
Prediction of Growth Trend of Pulmonary Nodules Based on Multi-temporal and Multimodal Medical Data and Its Impact on Pulmonary Nodule Management Strategies

Clinical Trial Summary

Some studies have shown that the model for judging and predicting the growth of sub-solid pulmonary nodules through big data and deep learning can detect nodule growth earlier. Since most of the training data come from large foreign samples, most of the validated data are CT data from a single center or a few centers, and their generalization ability needs to be further verified. In order to better study subsolid pulmonary nodules in the lungs in China, we plan to conduct a prospective, multicenter, non-interventional observational cohort study.

Clinical Trial Description

Through the follow-up of pulmonary nodules, artificial intelligence based on CT was used to study the natural evolution process of subsolid pulmonary nodules, as well as the development law and prognosis of pulmonary subsolid nodules under treatment or no treatment according to clinical guidelines. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06458673
Study type Observational [Patient Registry]
Source Guangdong Provincial People's Hospital
Contact Xuening Yang, MD
Phone 0086-13922713300
Email yangxncn@qq.com
Status Recruiting
Phase
Start date November 1, 2023
Completion date October 31, 2029
View Details
See also
  Status Clinical Trial Phase
Terminated NCT05066776 - Liquid Biopsy With PET/CT Versus PET/CT Alone in Diagnosis of Small Lung Nodules
Recruiting NCT06004440 - Real World Registry for Use of the Ion Endoluminal System
Enrolling by invitation NCT01465425 - Extracolonic Findings on Computed Tomography (CT) Colonography
Completed NCT01958931 - Evaluate the Utility of the ProLung Test as Adjunctive to CT Scan in the Diagnosis of Lung Cancer N/A
Completed NCT02090816 - Combined Liver and Right Lung Resection for Colorectal Metastases by Means of J-shaped Thoracophrenolaparotomy N/A
Completed NCT01566682 - A Multi-Center Trial of the ProLung Test™
Not yet recruiting NCT04047186 - Neoadjuvant Immunotherapy in Early Stage Non-small-cell Lung Cancer Presenting as Synchronous Ground-glass Nodules Phase 2
Completed NCT02169271 - Acetylsalicylic Acid Compared to Placebo in Treating High-Risk Patients With Subsolid Lung Nodules Phase 2
Terminated NCT02983903 - Cryobiopsy Versus Forceps Biopsy for Pulmonary Lesions N/A
Recruiting NCT02726633 - Evaluate the Utility of the ProLung China Test in the Diagnosis of Lung Cancer N/A
Completed NCT01397045 - Fast Track Rehabilitation Following Video-assisted Lung Segmentectomy N/A
Active, not recruiting NCT05171491 - LungLB in Subjects Presenting With Indeterminate Pulmonary Nodules
Withdrawn NCT05804435 - iNod™ Ultrasound-Guided Needle Biopsy System Study N/A
Recruiting NCT02468609 - Diagnostic Value of Ultralow-dose Computed Tomography for the Detection of Pulmonary Nodules and Lung Parenchym Alterations Compared to Standard-dose CT N/A
Completed NCT03795181 - Prediction Model for Multiple Pulmonary Nodules
Recruiting NCT03824535 - 18F-FSPG PET/CT in Diagnosing Early Lung Cancer in Patients With Lung Nodules Phase 2
Not yet recruiting NCT04192201 - A Real-world Study for Patients With Multiple Pulmonary Ground-glass Nodules
Completed NCT00963651 - GE Healthcare VolumeRAD Lung Nodule Detection Study N/A
Enrolling by invitation NCT04574518 - Teachable Moment to Opt-out of Tobacco: Interactive Voice Response Quit Line for Veteran Active Smokers With Lung Nodules N/A
Not yet recruiting NCT03487952 - Evaluation of Lung Nodule Detection With Artificial Intelligence Assisted Computed Tomography in North China