Using Artificial Intelligence for the Detection of Respiratory Diseases Associated With Pollution
NCT ID: NCT06512142
Last Updated: 2024-07-22
Study Results
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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ENROLLING_BY_INVITATION
30000 participants
OBSERVATIONAL
2023-11-01
2025-03-31
Brief Summary
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Development of an accurate and prognostic HRCT imaging diagnostic tool, computer assisted in the mentioned pathology, by generating an algorithm capable of to detect early the follow-up tomographic imaging lesions, as well as to evaluate objective their speed of evolution.
Validation of the proposed algorithm by comparison with medical diagnosis.
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Patients will be included regardless of the type of hospitalization, continuous or day.
* The existence of freely expressed consent, carried out according to Ethics standards professional (from the observation sheet).
For stage 2
* The use of HRCT images, in DICOM format, with a maximum cup thickness of 1.5 mm and with an average of 250 cups; no image acquisition errors;
* Imaging monitoring at a time interval;.
* Respiratory function evaluation data available: spirometry +/- the factor of gaseous diffusion (DLco);
Exclusion Criteria
\- Patients who do not have a stable real domicile (eg social cases) or are not from the Timis county
For stage 2
* Patients who do not have HRCT images available or cannot be followed.
* Patients who have insufficient quality HRCT images.
* Patients who have a history of lung surgery.
* Patients who have a history of allergies to contrast agents used in imaging HRCT.
18 Years
ALL
No
Sponsors
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University of Medicine and Pharmacy "Victor Babes" Timisoara
OTHER
Responsible Party
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Ana Adriana Trusculescu
Dr.
Locations
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"Victor Babes" University Hospital
Timișoara, Timiș County, Romania
Countries
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Other Identifiers
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PostdocTrusculescu/11.2023
Identifier Type: -
Identifier Source: org_study_id
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