Differential Diagnosis of Pulmonary Hypertension With Automated Image Analysis - a Pilot Study
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Pulmonary Hypertension
- Sponsor
- Medical University of Graz
- Enrollment
- 23
- Locations
- 1
- Primary Endpoint
- Lung vessel morphology
- Status
- Terminated
- Last Updated
- 2 years ago
Overview
Brief Summary
The aim of the study is to determine relevant morphologic parameters of the lung vasculature for the differentiation between different groups of patients with pulmonary hypertension (PH) by thoracic computer tomography (CT). In this pilot study patients undergoing right heart catheterization will be investigated by thoracic CT and special software to determine morphologic readouts.
The investigators expect that using this non-invasive method, parameters relevant for the differentiation of the patients with PH can be determined.
Detailed Description
Pulmonary hypertension (PH) is defined as an elevated mean pressure in the pulmonary artery above 20mmHg determined at right-heart catheterization. Depending on the presentation and pathogenesis, patients are classified according to five main groups. A correct classification is crucial, since it is essential for the available therapy options. A promising non-invasive method to provide important hemodynamic and clinical Information is the fully-automatic analysis of thoracic computed tomography images. This method can yield a number of quantitative morphologic readouts of the lung vasculature and the parenchyma. This study aims to identify quantitative markers from the fully-automatic image analysis, which allow a discrimination between the various PH patient groups.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Patients with right-heart catheterization
- •Clinical indication for thoracic CT
Exclusion Criteria
- •Pregnancy
- •Decreased kidney function
- •Intolerance to contrast material
- •Other standard CT contraindications
Outcomes
Primary Outcomes
Lung vessel morphology
Time Frame: 1 day
Quantitative measures of lung vessel morphology based on automated CT image analysis based on artery-vein separation and vessel segmentation, which allow differentiation between the different groups of PH