Clinical trial · Observational
Using Artificial Intelligence for the Detection of Respiratory Diseases Associated With Pollution
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| COPD Asthma | — | UNRESOLVED | — |
| Emphysema | — | UNRESOLVED | — |
| Lung Neoplasm | Lung Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (2)
- measure
- Correlation between lung diseases and pollution
- timeFrame
- December 2023 - December 2024
- description
- Establishing the relationship between the incidence and exacerbation of lung diseases (COPD, acute bronchitis, and pulmonary or pleural neoplasms) and pollution levels through geospatial and temporal analysis at the city /county level
- measure
- Development of a diagnostic algorithm
- timeFrame
- September 2024 - March 2024
- description
- Creating an accurate, computer-assisted HRCT imaging diagnostic tool designed to detect early tomographic lesions and evaluate the progression speed of these lesions in patients with the mentioned pathologies.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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.
References
Publications (0)
Data not yet available