@misc{Wiktorowicz_Agata_Computed_2021,
 author={Wiktorowicz, Agata},
 address={Kraków},
 howpublished={online},
 year={2021},
 school={Rada Dyscypliny Nauki medyczne},
 language={pol; eng},
 abstract={This research dissertation aimed to prepare detailed evaluation of aortic valve calcification (A VC) in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement (TAVR) and to find connections between A VC characterization and complication incidence after transcatheter aortic valve replacement. To reach this goal a special software was developed. The following conclusions were drawn from the conducted research: 1. New method allow to prepare a list of quantitative parameters that describes AVC 2. New method allow to morphometric, topologie and structural A VC assessment 3. New method allowed to identification of A VC parameters associated with high risk of paravalvular leak occurrence after TA VR with an indication of its exact location 4. Developed method of AVC assessment is objective and repeatable 5. Comparison of the obtained parameters describing AVC with clinical data, assuming greater number of analyzed cases, may be used to better description of surgical field, as well as to predict both of the occurrence and the exact location of complication after TA VR 6. Improving methods of image analysis, building databases from measurable parameters and combining the information obtained in this way with visualisation methods supported by information obtained from mathematical analyses, may in the future influence the choice},
 abstract={of diagnostic and therapeutic path as well as assist operators in preparing for orocedures.},
 title={Computed tomography evaluation of the aortic complex in patients with severe aortic stenosis undergoing transcatheter aortic valve implantation},
 type={Praca doktorska},
 keywords={aortic stenosis, aortic valve calcification, transcatheter aortic valve replacement, imaging biomarkers, paravalvular leak},
}