Ignite Creation Date:
2024-05-06 @ 8:22 PM
Last Modification Date:
2024-10-26 @ 3:26 PM
Study NCT ID:
NCT06359145
Status:
RECRUITING
Last Update Posted:
2024-04-11
First Post:
2024-03-30
Brief Title:
Prediction of COPD Severity Using Electrical Impedance Tomography
Sponsor:
Chinese PLA General Hospital
Organization:
Chinese PLA General Hospital
Study Overview
Official Title:
Prediction of COPD Chest CT Severity Using Electrical Impedance Tomography by Machine Learning Methods
Status:
RECRUITING
Status Verified Date:
2024-04
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:
The purpose of this study is to predict the CT visual score of emphysema with EIT-based parameters in order to provide a non-invasive and convenient method for the evaluation of lung structure and physiological and pathological progression of COPD
Detailed Description:
Methods By collecting pulmonary function data CT visual scores and EIT data and employing deep machine learning algorithms to compare the predictive capabilities of EIT and PFT for CT visual scores of pulmonary emphysema this study aims to validate the ability of EIT to assess the progression of COPD
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