Cardiovascular disease (CVD) in general and coronary artery disease (CAD) in particular are the most common causes of death in the world. CVD is also the most expensive disease group, accounting for approximately 9% of the total health care expenditure in the European Union.
The Flagship Project Show/Hide content
This flagship project combines mainly coronary artery morphology and cardiac function research with CT at CMIV.
The research is carried out in close collaboration between the coronary artery group, led by CMIV director and professor Anders Persson, together with Mårten Sandstedt PhD and senior physician, Magnus Janzon head at the department of cardiology, Associate Professor and the cardiac imaging and modelling group with Tino Ebbers, professor in Physiological Measurements and Matts Karlsson, professor and director of National Supercomputer Center. With translational research approach, we expect to improve the in-depth understanding and diagnostics of cardiovascular disease and treatment strategies.
The European Society of Cardiology published new guidelines in 2019 suggesting that "Coronary Computed Tomography Angiography (CTA) is the preferred test in patients with a lower range of clinical likelihood of CAD, no previous diagnosis of CAD, and characteristics associated with a high likelihood of good image quality."
As the first university hospital in Sweden CCTA were introduced at CMIV in 2004 into clinical routine for patients with suspected CAD.
As part of Mårten’s thesis, an AI software for automatic calcium scoring was evaluated. A calcium scoring is performed by scanning the heart without intravenous contrast, and is used for a coronary artery calcification quantification, which is employed for a clinical cardiovascular risk analysis. The quantification process is traditionally performed using semi-automatic post-processing softwares and is not very difficult, yet it takes significant expert time and is considered tedious. This CMIV project found a very good agreement between the semi-automatic and AI-based automatic methods, but AI was shown to have time-saving potential, which is valuable both for the work environment and for health economy.Another work in Mårten’s thesis has been performed together with the Mayo Clinic, Mn, USA. In this project, coronary specimens from human cadavers were examined with a conventional CT and a photon counting detector CT (PCD-CT). Subsequently, a coronary calcification quantification was performed, demonstrating the PCD-CT technology to be more accurate than the conventional CT.
Magnus Janzon, Mårten Sandstedt and Anders Persson in front of the new photon counting detector computed tomography.