Ignite Creation Date:
2024-06-16 @ 11:51 AM
Last Modification Date:
2024-10-26 @ 3:32 PM
Study NCT ID:
NCT06458673
Status:
RECRUITING
Last Update Posted:
2024-06-13
First Post:
2024-06-09
Brief Title:
A Prospective Non-interventional Cohort Study of Subsolid Pulmonary Nodules
Sponsor:
Guangdong Provincial Peoples Hospital
Organization:
Guangdong Provincial Peoples Hospital
Study Overview
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
Status:
RECRUITING
Status Verified Date:
2024-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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
Detailed 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 Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None