Using Artificial Intelligence for the Detection of Respiratory Diseases Associated With Pollution

NCT ID: NCT06512142

Last Updated: 2024-07-22

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

ENROLLING_BY_INVITATION

Total Enrollment

30000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-11-01

Study Completion Date

2025-03-31

Brief Summary

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Generating a picture at the city level, through geospatial and temporal grouping a lung diseases associated or exacerbated by pollution (COPD, AB and neoplasm pulmonary or pleural) and correlating this data with pollution data.

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.

Detailed Description

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Conditions

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COPD Asthma Lung Neoplasm Emphysema

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients must be diagnosed with COPD and/or asthma and/or pulmonary neoplasm and/or secondary pulmonary, pleural or mediastinal determinations, suspected or confirmed, according to ICD-10.
* 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

For both stages:

\- 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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Medicine and Pharmacy "Victor Babes" Timisoara

OTHER

Sponsor Role lead

Responsible Party

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Ana Adriana Trusculescu

Dr.

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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"Victor Babes" University Hospital

Timișoara, Timiș County, Romania

Site Status

Countries

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Romania

Other Identifiers

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PostdocTrusculescu/11.2023

Identifier Type: -

Identifier Source: org_study_id

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