COPD Asthma, Emphysema, Lung Neoplasm
Conditions
Keywords
complex networks, lung imaging, spectral analysis, geolocation
Brief summary
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.
Interventions
None listed
Sponsors
University of Medicine and Pharmacy Victor Babes Timisoara
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between lung diseases and pollution | December 2023 - December 2024 | 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 |
| Development of a diagnostic algorithm | September 2024 - March 2024 | 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. |
Countries
Romania
Outcome results
None listed