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


Journal Articles

1.

S.G.M. van Velzen, N. Lessmann, B.K. Velthuis, I.E.M. Bank, D.H.J.G. van den Bongard, T. Leiner, P. A. de Jong, W. B. Veldhuis, A. Correa, J.G. Terry, J.J. Carr, M.A. Viergever, H.M. Verkooijen, I. Išgum

Deep learning for automatic calcium scoring in CT: validation using multiple cardiac CT and chest CT protocols Journal Article

Radiology, 295 (1), 2020.

Abstract | Links | BibTeX

2.

M.J. Emaus, I. Išgum, S.G.M. van Velzen, H.J.G.D. van den Bongard, S.A.M. Gernaat, N. Lessmann, M.G.A. Sattler, A.J. Teske, J. Penninkhof, H. Meijer, J.P. Pignol, H.M. Verkooijen; Bragatston study group

Bragatston study protocol: a multicentre cohort study on automated quantification of cardiovascular calcifications on radiotherapy planning CT scans for cardiovascular risk prediction in patients with breast cancer Journal Article

BMJ Open, 9 (7), pp. e028752, 2019.

Abstract | Links | BibTeX

3.

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 Journal Article

Radiotherapy and Oncology, 127 (3), pp. 487-492, 2018.

Abstract | Links | BibTeX

Inproceedings

1.

S.G.M. van Velzen, B.D. de Vos, H.M. Verkooijen, T. Leiner, M.A. Viergever, I. Išgum

Coronary artery calcium scoring: can we do better? Inproceedings

In: SPIE Medical Imaging, pp. 113130G, 2020.

Abstract | Links | BibTeX

2.

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 Inproceedings

In: SPIE Medical Imaging, pp. 109490X, 2019.

Abstract | Links | BibTeX

Abstracts

1.

R. Gal, S.G. van Velzen, M.J. Emaus, D.H. van den Bongard, M.L. Gregorowitsch, E.L. Blezer, G. Sofie, N. Lessmann, M.G. Sattler, M.J. Hooning, A.J. Teske, J.J. Penninkhof, H. Meijer, J.P. Pignol, J. Verloop, I. Išgum, H.M. Verkooijen, Bragatston Study Group

The risk of cardiovascular disease in irradiated breast cancer patients: The role of cardiac calcifications and adjuvant treatment Abstract

In: European Journal of Cancer, 138, pp. S6, 2020.

Abstract | Links | BibTeX

2.

S.G.M. van Velzen, J.G. Terry, B.D. de Vos, N Lessmann, S. Nair, A. Correa, H.M. Verkooijen J.J. Carr, I. Išgum

Automatic prediction of coronary heart disease events using coronary and thoracic aorta calcium among African Americans in the Jackson Heart study Abstract

In: Radiological Society of North America, 105th Annual Meeting, 2019.

Abstract | Links | BibTeX

3.

S.G.M. van Velzen, N. Lessmann, M.J. Emaus, H. van den Bongard, H.M. Verkooijen, I. Išgum

Deep learning for calcium scoring in radiotherapy treatment planning CT scans in breast cancer patients Abstract

In: Radiological Society of North America, 105th Annual Meeting, 2019.

Abstract | Links | BibTeX