Public Defence: Joanna Sulkowska

Cand.med. Joanna Sulkowska at Institute of Clinical Medicine will be defending the thesis “Mechanics Behind the Pump: Pathophysiological Insights and Data-Driven Signatures of Cardiac Function” for the degree of PhD (Philosophiae Doctor).

Bildet kan inneholde: person, hår, hake, kinn, øyenbryn.

Photo: Elise Wright Knutsen.

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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.

Order a digital copy of the thesis here

Trial Lecture – time and place

See Trial Lecture.

Adjudication committee

  • First opponent: Professor Michelle Williams, University of Edinburgh, UK
  • Second opponent: Professor Declan O'Regan, Imperial College London, UK
  • Third member and chair of the evaluation committee: Professor II Mona Kristiansen Beyer, University of Oslo

Chair of the Defence

Professor Stig Müller, University of Oslo

Principal Supervisor

Associate Professor Siri Lagethon Heck, University of Oslo

Summary

This thesis shows that myocardial motion and deformation are related to established indicators of cardiac health in older adults with little overt cardiovascular disease. It further demonstrates how multiple mechanical measures can be combined to give a more integrated picture of cardiac function.

Cross-sectional associations between myocardial mechanical measures, derived from cardiac magnetic resonance feature-tracking (CMR-FT), and established indicators of cardiac health were investigated in a selected sample of 69-year-olds from a community-based cohort. Indicators of cardiac health included cardiac troponin T for myocardial injury, late gadolinium enhancement for focal myocardial scars, extracellular volume for diffuse fibrosis, left ventricular ejection fraction (LVEF) for pump function, and left ventricular mass index (LVMI) for structural remodelling. Statistical and machine-learning models were applied, with explainable AI used to interpret joint models.

Myocardial injury and scars were associated with worse strain, a measure of deformation, and lower contraction synchrony, while diffuse fibrosis showed non-linear associations with strain. Joint analysis revealed distinct mechanical patterns associated with LVEF and LVMI.

Overall, the findings provide biological context for CMR-FT-derived myocardial mechanics, show that measures beyond the widely used global longitudinal strain (GLS) contain biologically relevant information, and demonstrate that data-driven integration of multiple mechanical measures can yield interpretable mechanical signatures of cardiac function.

Additional information

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Published Oct. 23, 2026 10:49 AM - Last modified Oct. 23, 2026 10:49 AM