- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05475977
Role of MSCT of Chest in Differentiation Between COPD Patients According to Their Smoking Status
Role of Multislice Computed Tomography (MSCT) Chest in Differentiation Between Chronic Obstructive Pulmonary Disease(COPD) Patients According to Their Smoking Status
Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality all over the world. Smoking is considered as an important risk factor, but other risk factors are present. Around 30 % of patients with COPD are non-smokers.
Cessation of smoking in patients with COPD causes decreases the presence of micronodules and other criteria of CT chest.
In last few years, some researchers reported that cessation of smoking raise the apparent extent of emphysema. The cause is not obvious, but this paradoxical fall in lung density is thaught to be resulting from decrease in inflammation after smoking cessation.
CT chest criteria of COPD in active smokers, non-smokers and ex-smokers seem to be different.
So, comparison between CT chest Criteria of COPD in smokers, ex-smokers and non-smokers will be searched in this study to detect the role of multislice computed tomography (MSCT) chest in differentiation between COPD patients according to their smoking status.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Somaia Ahmad AbdAllah Ahmad, M.B.B.Ch
- Phone Number: 01024833938
- Email: somayaahmad64@gmail.com
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All patients with chronic obstructive Pulmonary Disease.
- Patients above 18 years.
Exclusion Criteria:
- Patients with unclear smoking history.
- Patients with active pneumonia.
- Patients with acute COPD exacerbation.
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Cross-Sectional
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
First Group
Thirty patients of COPD smokers patients.
|
Multi slice Computed Tomography of the chest
|
|
Second group
Thirty patients of COPD ex-smokers patients.
|
Multi slice Computed Tomography of the chest
|
|
Third group
Thirty patients of COPD non-smokers patients.
|
Multi slice Computed Tomography of the chest
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of participants with criteria of severe COPD
Time Frame: 18 months
|
Criteria of severe COPD include emphysematous bullae, thick bronchial walls.
|
18 months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Somaia Ahmad AbdAllah Ahmad, M.B.B.Ch, Assiut University
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- Somaia Ahmad
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- Study Protocol
- Statistical Analysis Plan (SAP)
- Informed Consent Form (ICF)
- Clinical Study Report (CSR)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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