Prediction of COPD Severity Using Electrical Impedance Tomography

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-04-01

Study Completion Date

2024-08-01

Brief Summary

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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.

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Detailed Description

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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.

Conditions

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Electric Impedance Respiratory Function Tests Pulmonary Disease, Chronic Obstructive

Study Design

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Observational Model Type

COHORT

Study Time Perspective

OTHER

Eligibility Criteria

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Inclusion Criteria

* 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.

Exclusion Criteria

* 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.

Minimum Eligible Age

20 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes