Due to copyright issues, an electronic copy of the thesis must be ordered from the faculty. For the faculty to have time to process the order, the order must be received by the faculty at the latest 2 days before the public defence. Orders received later than 2 days before the defence will not be processed. After the public defence, please address any inquiries regarding the thesis to the candidate.
Trial Lecture – time and place
See Trial Lecture.
Adjudication committee
- First opponent: Professor Beatriz Trénor Gomis, Polytechnic University of Valencia, Spain
- Second opponent: Professor Alf Inge Larsen, University of Bergen
- Third member and chair of the evaluation committee: Professor Emeritus Knut Gjesdal, University of Oslo
Chair of the Defence
Professor II Tor Inge Tønnessen, University of Oslo
Principal Supervisor
Group leader, PhD Jacob Bergsland, Oslo University Hospital
Summary
Cardiac Resynchronization Therapy (CRT) is used to treat dyssynchronous heart failure, by pacing the right and left ventricles and enhancing the pumping efficiency of the heart. CRT can improve survival, and quality of life, but only 60 % of the patients respond to this therapy, due to suboptimal selection criteria and the lack of acute measurement that can reliably predict the long-term response.
Utilizing sophisticated computational models, we studied the electrical and mechanical characteristics of CRT focusing on defining the optimal pacing site in the left ventricle. We investigated the impact of multisite left ventricular pacing and developed novel measures for the prediction of CRT outcomes.
The outcome of CRT is dependent on the combination of heterogeneities in the individual heart and the specifics of the CRT-stimulation setup. Our findings demonstrate that there is no “one-size-fits-all” solution and that the configuration of CRT must be tailor-made for each patient. A solution that combines imaging, computational modeling, and data science has the potential to improve the decision-making process in patient selection and optimization of therapy.
Additional information
Contact the research support staff.