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Differential Diagnosis of Pulmonary Hypertension With Automated Image Analysis

Differential Diagnosis of Pulmonary Hypertension With Automated Image Analysis - a Pilot Study

Status
Terminated
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04329312
Enrollment
23
Registered
2020-04-01
Start date
2020-06-15
Completion date
2021-10-01
Last updated
2024-01-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary Hypertension

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.

Interventions

Patients undergo contrast-enhanced thoracic computed tomography as part of their routine clinical work up.

Sponsors

Ludwig Boltzmann Institute for Lung Vascular Research
CollaboratorOTHER
Medical University of Graz
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Lung vessel morphology1 dayQuantitative 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

Countries

Austria

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026