Pulmonologie

The aim of our research is to comprehensively evaluate pulmonary hemodynamics at rest and under stress, with a particular focus on right heart function. The focus is on the development and application of modern invasive and non-invasive diagnostic procedures. This should enable earlier detection of pulmonary hypertension and simplify and improve diagnostics overall. Another key aspect is the identification and validation of non-invasive surrogate parameters in order to reduce invasive examinations wherever possible. Particular attention is paid to the precise characterization of right heart function. In addition, AI-based models are to be used and developed to better analyze complex hemodynamic relationships, support diagnostic processes, and further optimize the early detection and risk stratification of pulmonary hypertension.

Contact

Philipp Douschan 
T: +43 316 385 12183
Forschung

Our projects

  • Ultra Right Value (Lead: Roberto Baddagliaca, Sapienza Roma, Italy)
  • Right NET (Lead: Eduardo Bossone, Naples, Italy)
  • European Respiratory Society PEX-NET (Lead: Gabor Kovacs, Medical University of Graz, Austria)
  • PVRI GoDeep Registry (Lead: Werner Seeger, Giessen, Germany)
  • G-Right: Graz Registry for Investigating the Right Heart (Lead: Philipp Douschan, Medical University of Graz, Austria)
  • Dealcoholized And REgular red WINE – short-term effects on the pulmonary arteries and heart function in PH patients (DARE-WINE-PH), (Lead: Dirk von Lewinski, Med Uni Graz, Austria)
  • Non-invasive estimation of pulmonary arterial wedge pressure using blood speckle imaging (Lead: Philipp Douschan, Med Uni Graz, Austria)
  • Non-invasive estimation of mean pulmonary arterial pressure using blood speckle imaging (Lead: Philipp Douschan, Medical University of Graz, Austria)
  • Non-invasive predictors of resting and exercise pulmonary hypertension (Lead: Philipp Douschan, Medical University of Graz, Austria)

Team

Members

 

Cooperation partners

  • Universities of Giessen and Marburg Lung Center (UGMLC)

  • Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation

  • Medical University of Graz, Division of Cardiology, Department of Internal Medicine

  • Medical University of Graz, Division of Rheumatology and Immunology, Department of Internal Medicine

  • Medical University of Graz, Division of Angiology, Department of Internal Medicine

  • Medical University of Graz, Division of Gastroenterology and Hepatology, Department of Internal Medicine

  • Medical University of Graz, Department of Radiology

  • Medical University of Graz, Division of Medical Physics and Biophysics