Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH
Question This study introduces an automated method for quantifying the extent and spatial distribution of pulmonary perfusion abnormalities in CTEPH using variational Bayesian estimation. Findings Quantitative measures describing the extent, heterogeneity, and distribution of perfusion changes demonstrate strong correlations with key clinical hemodynamic indicators. Clinical relevance The automated quantification of perfusion changes aligns closely with radiologists' evaluations, delivering a standardized, reproducible measure with clinical relevance.
Authors
- Roman Jakubíček (ORCID: https://orcid.org/0000-0003-4293-260X)
- Pavel Jansa (ORCID: https://orcid.org/0000-0002-3711-7064)
- Andrea Burgetová (ORCID: https://orcid.org/0000-0002-9975-2338)
- Vojtěch Suchánek (ORCID: https://orcid.org/0000-0003-0668-221X)
- Jan Hrdlička (ORCID: https://orcid.org/0000-0003-4569-0394)
- Lukáš Lambert (ORCID: https://orcid.org/0000-0003-2299-4707)
- Lucie Miksová (ORCID: https://orcid.org/0009-0007-5043-2281)
- Matěj Novák (ORCID: https://orcid.org/0000-0003-2596-0430)
Institutions
- Charles University (CZ)
- University Hospital in Motol (CZ)
- General University Hospital in Prague (CZ)
- Brno University of Technology (CZ)
Publication Details
- Journal
- European Radiology
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1007/s00330-025-11678-y
- Citations
- 1
- Primary Topic
- Pulmonary Hypertension Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Univerzita Karlova v Praze
- Ministerstvo Zdravotnictví Ceské Republiky
- Všeobecná Fakultní Nemocnice v Praze