Prediction of COPD Severity Using Electrical Impedance Tomography

NCT06359145 | Recruiting

• 1 other identifier: EIT and COPD
• Study Type: observational
• Target: 150
• Locations: 1 country
• Sites: 1

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.

Conditions

Electric Impedance; Respiratory Function Tests; Pulmonary Disease, Chronic Obstructive

Outcome Measures

Primary Outcomes (1)

• The predictive power of EIT and PFT for CT visual scoring of emphysema

  the prediction accuracy between deep machine learning models based on PFT data and EIT data

  1 mounths

Eligibility Criteria

• Age: 20 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Clinical physicians suspect a patient may have COPD based on symptoms and physical examination, but a definitive diagnosis has not been confirmed through PFTs.

You may qualify if:

• Clinical physicians suspect a patient may have COPD based on symptoms and physical examination, but a definitive diagnosis has not been confirmed through PFTs.
• Age \> 20 years, and be able to communicate with doctors.
• Willing to sign informed consent for the course of the study.

You may not qualify if:

• Patient refusal of EIT examination.
• The CT scan information is incomplete, and the interval between the pulmonary function test and the CT scan is more than 180 days.

Sponsors & Collaborators

• Chinese PLA General Hospital: lead

Study Sites (1)

PLA

Beijing, Beijing Municipality, 100853, China

RECRUITING

MeSH Terms

Conditions

Pulmonary Disease, Chronic Obstructive

Condition Hierarchy (Ancestors)

Lung Diseases, Obstructive; Lung Diseases; Respiratory Tract Diseases; Chronic Disease; Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Central Study Contacts

Zhimei Duan, doctor

CONTACT

13716376758; 549117002@qq.com

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: OTHER
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Director, Department of Respiratory and Critical Care Medicine, Chinese PLA General Hospital

Study Record Dates

• First Submitted: March 30, 2024
• First Posted: April 11, 2024
• Study Start: April 1, 2023
• Primary Completion: June 1, 2024
• Study Completion: August 1, 2024
• Last Updated: April 11, 2024

Record last verified: 2024-04

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)