Automated cardiovascular risk prediction in breast cancer patients undergoing radiotherapy treatment planning CT

Cardiovascular disease (CVD) is the second most common cause of death in breast cancer patients. Certain adjuvant treatments (eg. anthracyclins, radiotherapy) increase the risk of CVD, in particular in patients with pre-existing cardiovascular risk factors. Early identification of patients with cardiovascular risk factors enables targeted cardiopreventive interventions, and switching to less cardiotoxic treatments. To goal of this project is to develop a tool for identification of patients at increased risk of CVD using radiotheraphy treatment planning CT.

 


Researchers


Papers in international journals

1.S.A.M. Gernaat, S.G.M. van Velzen, V. Koh, M.J. Emaus, I. Išgum, N. Lessmann, S. Moes, A. Jacobson, P.W. Tan, D.E. Grobbee, D.H.J. van den Bongard, J.I.Tang, H.M .Verkooijen. Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients. Radiotherapy and Oncology, 2018, vol. 127, nr. 3, pp. 487-492 Abstract | pdf )

Papers in conference proceedings

1.S.G.M. van Velzen, M. Zreik, N. Lessmann, M.A. Viergever, P.A. de Jong, H.M. Verkooijen, I. Išgum. Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. In: SPIE Medical Imaging, 2019 Abstract | pdf )