Cardiovascular phenotype-genotype analysis within a CT based lung cancer screening trial

Calcifications in the aortic wall, heart valves and coronary arteries are strong and independent predictors of cardiovascular disease (CVD) including myocardial infarction (MI), sudden cardiac death, and stroke. The Dutch lung cancer screening (NELSON) trial offers a possibility to investigate presence and risk of CVD in an asymptomatic high risk population.

In this project, we are developing automatic algorithms to measure existing and novel imaging biomarkers related to CVD in CT images from the NELSON trial. These biomarkers will enrich the phenotype information, enabling genetic studies and focusing on the identification of genes related to CVD risk. Finally, the combined information from imaging and genetics offers the possibility to investigate whether imaging markers and genetic analysis provide equivalent or complementary evidence with respect to CVD risk stratification.



Chest CT scan acquired in the Dutch-Belgian lung cancer screening trial. Calcifications in the coronary arteries and in the aorta that are visible in this image (high intensity areas), allow determination of the cardiovascular risks of this subject.


Researchers


Journal Articles

1.

B.D. de Vos, J.M. Wolterink, T. Leiner, P.A. de Jong, N. Lessmann, I. Išgum

Direct automatic coronary calcium scoring in cardiac and chest CT Journal Article

IEEE Transactions on Medical Imaging, 34 , pp. 123-136, 2019.

Abstract | Links | BibTeX

2.

B.D. de Vos; F.F. Berendsen; M.A. Viergever; H. Sokooti; M. Staring; I. Išgum

A deep learning framework for unsupervised affine and deformable image registration Journal Article

Medical Image Analysis, 52 , pp. 128 - 143, 2019.

Abstract | Links | BibTeX

3.

J. Šprem, B.D. de Vos, N. Lessmann, R.W. van Hamersvelt, M.J.W. Greuter, P.A. de Jong, T. Leiner, M.A. Viergever, I. Išgum

Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images Journal Article

PLoS One, 13 (12), pp. e0209318, 2018.

Abstract | Links | BibTeX

4.

J. Šprem; B.D. de Vos; N. Lessmann; P.A. de Jong; M.A. Viergever; I. Išgum

Impact of automatically detected motion artifacts on coronary calcium scoring in chest CT Journal Article

Journal of Medical Imaging, 5 (4), pp. 044007 , 2018.

Abstract | Links | BibTeX

5.

A. Vos, G. Kranenburg, P.A. de Jong, W.P.T.M. Mali, W. van Hecke, R.L.A.W. Bleys, I. Išgum, A. Vink, W. Spiering

The amount of calcifications in pseudoxanthoma elasticum patients is underestimated in computed tomographic imaging; a post-mortem correlation of histological and computed tomographic findings in two cases Journal Article

Insights Imaging, 9 (4), pp. 493-498, 2018.

Abstract | Links | BibTeX

6.

B.D. de Vos, J.M. Wolterink, P.A. de Jong, T. Leiner, M.A. Viergever, I. Isgum

ConvNet-based localization of anatomical structures in 3D medical images Journal Article

IEEE Transactions on Medical Imaging, 36 (7), pp. 1470-1481, 2017.

Abstract | BibTeX

7.

P. Natarajan; J. C. Bis; L. F. Bielak; A. J. Cox; M. Dorr; M. F. Feitosa; N. Franceschini; X. Guo; S-J. Hwang; A. Isaacs; M. A. Jhun; et al

Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis Journal Article

Circulation. Cardiovascular genetics, 9 (6), pp. 511-520, 2016.

Abstract | BibTeX

8.

A. Vos, W. van Hecke, W.G.M. Spliet, R. Goldschmeding, I. Isgum, R. Kockelkoren, R.L.A.W. Bleys, W.P.T.M. Mali, P.A. de Jong, A. Vink

Predominance of nonatherosclerotic internal elastic lamina calcification in the intracranial internal carotid artery Journal Article

Stroke, 47 (1), pp. 221-3, 2016.

Abstract | BibTeX

Inproceedings

1.

J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, I. Išgum

Automatic segmentation of thoracic aorta segments in low-dose chest CT Inproceedings

In: SPIE Medical Imaging, pp. 105741S, 2018.

Abstract | Links | BibTeX

2.

B.D. de Vos, F.F. Berendsen, M.A. Viergever, M. Staring, I. Isgum

End-to-end unsupervised deformable image registration with a convolutional neural network Inproceedings

In: ML-CDS 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, Proceedings (Ed.): Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, pp. 204–212, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, Proceedings 2017.

Abstract | Links | BibTeX

3.

H. Sokooti, B.D. de Vos, F. Berendsen, B.P.F. Lelieveldt, I. Isgum, M. Staring

Nonrigid image registration using multi-scale 3D convolutional neural networks Inproceedings

In: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part 1, pp. 232–239, 2017.

Abstract | Links | BibTeX

4.

J. Šprem; B.D. de Vos; P.A. de Jong; M.A. Viergever; I. Isgum

Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network Inproceedings

In: SPIE Medical Imaging, 2017.

Abstract | Links | BibTeX

5.

B.D. de Vos, M.A. Viergever, P.A. de Jong, I. Isgum

Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor Inproceedings

In: Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, MICCAI 2016, Athens, Greece, pp. 161–169, 2016.

Abstract | BibTeX

6.

B.D. de Vos, J. van Setten, P.A. de Jong, W.P. Mali, M. Oudkerk, M.A. Viergever, I. Isgum

Genome-Wide Association Study of Coronary and Aortic Calcification in Lung Cancer Screening CT Inproceedings

In: SPIE Medical Imaging, pp. 97841L-1-97841L-6, 2016.

Abstract | BibTeX

7.

B.D. de Vos, J.M. Wolterink, P.A. de Jong, M.A. Viergever, I. Isgum

2D image classification for 3D anatomy localization; employing deep convolutional neural networks Inproceedings

In: SPIE Medical Imaging, pp. 97841Y-1-97841Y-7, 2016.

Abstract | BibTeX

8.

B.D. de Vos; P.A. de Jong; J.M. Wolterink; R. Vliegenthart; G.V.F. Wielingen; M.A. Viergever; I. Isgum

Automatic machine learning based prediction of cardiovascular events in lung cancer screening data Inproceedings

In: SPIE Medical Imaging, pp. 94140D, 2015.

Abstract | BibTeX

Abstracts

1.

B.D. de Vos, N. Lessmann, P.A. de Jong, M.A. Viergever, I. Isgum

Direct coronary artery calcium scoring in low-dose chest CT using deep learning analysis Abstract

In: 2017.

Abstract | BibTeX

2.

J. Šprem, B.D. de Vos, R. Vliegenthart, M.A. Viergever, P. A. de Jong, I. Isgum

Increasing the Interscan Reproducibility of Coronary Calcium Scoring by Partial Volume Correction in Low-Dose non-ECG Synchronized CT: Phantom Study Abstract

In: 2015.

BibTeX

PhD Theses

1.

J. Šprem

Enhanced cardiovascular risk prediction by machine learning PhD Thesis

Utrecht University, The Netherlands, 2019, ISBN: 978-94-6323-713-0.

BibTeX