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.
Study Type
OBSERVATIONAL
Enrollment
30,000
"Victor Babes" University Hospital
Timișoara, Timiș County, Romania
Correlation between lung diseases and pollution
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
Time frame: December 2023 - December 2024
Development of a diagnostic algorithm
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.
Time frame: September 2024 - March 2024
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