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.

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.

The primary specialized Victor Babes Respiratory Hospital patients