Automatic detection of pulmonary, cardiovascular and skeletal findings and their relation to all-cause mortality in NLST data
We propose to validate our previously developed algorithms for automatic prediction of all-cause mortality based on coronary and aortic calcium in lung cancer screening participants and when needed, further adjust the methodology to ensure robustness to image acquisition and imaged population.
Next, it has been shown that pulmonary and skeletal abnormalities independently predict mortality in the NELSON trial. Hence, we would like to identify association of cardiovascular calcifications, pulmonary and skeletal abnormalities with CVE, and disease specific and all-cause mortality in NLST.
(1) To validate performance of our previously developed algorithms for calcium scoring in the cardiovascular structures and investigate their progression, size, spatial and intensity characteristics.
(2) To perform automatic and visual analysis of cardiovascular, pulmonary and skeletal abnormalities.
(3) To relate these findings with CVE, and disease specific and all-cause mortality.
To enable case-cohort analysis, we would like to have an access to images of all subjects who died from the CT arm (N=1877) and a random sample of twice as many controls (N=3754). To analyze progression of cardiovascular calcifications, we would like to have access to the follow-up CT images of the included subjects.
Pim de Jong, MD PhD, University Medical Center Utrecht, Utrecht, The Netherlands
Bram van Ginneken, PhD, Radboud University Medical Center, Nijmegen, The Netherlands
Firdaus Mohamed Hoesein, MD PhD, University Medical Center Utrecht, Utrecht, The Netherlands Nikolas Lessmann, PhD student, University Medical Center Utrecht, Utrecht, The Netherlands
Bob de Vos, PhD student, University Medical Center Utrecht, Utrecht, The Netherlands
Jurica Sprem, PhD student, University Medical Center Utrecht, Utrecht, The Netherlands
Richard Takx, PhD student, University Medical Center Utrecht, Utrecht, The Netherlands
Colin Jacobs, PhD student, Radboud University Medical Center, Nijmegen, The Netherlands
Generative models for reproducible coronary calcium scoring.
van Velzen SGM, de Vos BD, Noothout JMH, Verkooijen HM, Viergever MA, Išgum I
J Med Imaging (Bellingham). 2022 Sep; Volume 9 (Issue 5): Pages 052406 PUBMED
Scan-based competing death risk model for reevaluating lung cancer computed tomography screening eligibility.
Schreuder A, Jacobs C, Lessmann N, Broeders MJ, Silva M, Išgum I, de Jong PA, van den Heuvel MM, Sverzellati N, Prokop M, Pastorino U, Schaefer-Prokop CM, van Ginneken B
Eur Respir J. 2021 Oct 14 PUBMED
Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT.
de Vos BD, Lessmann N, de Jong PA, Išgum I
Radiol Cardiothorac Imaging. 2021 Apr; Volume 3 (Issue 2): Pages e190219 PUBMED
The Association Between Marital Status, Coronary Computed Tomography Imaging Biomarkers, and Mortality in a Lung Cancer Screening Population.
Celeng C, Takx RAP, Lessmann N, Maurovich-Horvat P, Leiner T, Išgum I, de Jong PA
J Thorac Imaging. 2020 May; Volume 35 (Issue 3): Pages 204-209 PUBMED
Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols.
van Velzen SGM, Lessmann N, Velthuis BK, Bank IEM, van den Bongard DHJG, Leiner T, de Jong PA, Veldhuis WB, Correa A, Terry JG, Carr JJ, Viergever MA, Verkooijen HM, Išgum I
Radiology. 2020 Apr; Volume 295 (Issue 1): Pages 66-79 PUBMED
Coronary artery calcium scoring: Can we do better?
Sanne G. M. Van velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Išgum
Medical Imaging 2020. 2020 Mar 20; Volume 11313
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification.
Lessmann N, van Ginneken B, de Jong PA, Išgum I
Med Image Anal. 2019 Apr; Volume 53: Pages 142-155 PUBMED
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning
Sanne G. M. van Velzen, Majd Zreik, Nikolas Lessmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Išgum
Medical Imaging 2019. 2019 Mar 15; Volume 10949
A deep learning framework for unsupervised affine and deformable image registration.
de Vos BD, Berendsen FF, Viergever MA, Sokooti H, Staring M, Išgum I
Med Image Anal. 2019 Feb; Volume 52: Pages 128-143 PUBMED
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT.
de Vos BD, Wolterink JM, Leiner T, de Jong PA, Lessmann N, Isgum I
IEEE Trans Med Imaging. 2019 Feb PUBMED
Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers.
Lessmann N, de Jong PA, Celeng C, Takx RAP, Viergever MA, van Ginneken B, Išgum I
JACC Cardiovasc Imaging. 2019 Jan PUBMED
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.
Lessmann N, van Ginneken B, Zreik M, de Jong PA, de Vos BD, Viergever MA, Isgum I
IEEE Trans Med Imaging. 2018; Volume 37 (Issue 2): Pages 615-625 PUBMED
Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images.
Šprem J, de Vos BD, Lessmann N, van Hamersvelt RW, Greuter MJW, de Jong PA, Leiner T, Viergever MA, Išgum I
PLoS ONE. 2018; Volume 13 (Issue 12): Pages e0209318 PUBMED
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning
S. G. M. van Velzen, M. Zreik, N. Lessmann, M. A. Viergever, P. A. de Jong, H. M. Verkooijen, and I. Išgum
CoRR. 2018; Volume vol. 10949 of Proceedings of SPIE; abs/1810.02277
Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography.
Šprem J, de Vos BD, Lessmann N, de Jong PA, Viergever MA, Išgum I
J Med Imaging (Bellingham). 2018 Oct; Volume 5 (Issue 4): Pages 044007 PUBMED
Automatic segmentation of thoracic aorta segments in low-dose chest CT
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Išgum
Medical Imaging 2018. 2018 Mar 2; Volume 10574
Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial.
Pompe E, de Jong PA, Lynch DA, Lessmann N, Išgum I, van Ginneken B, Lammers JJ, Mohamed Hoesein FAA
Eur. Respir. J. 2017; Volume 49 (Issue 4) PUBMED
ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images.
de Vos BD, Wolterink JM, de Jong PA, Leiner T, Viergever MA, Isgum I
IEEE Trans Med Imaging. 2017 Jul; Volume 36 (Issue 7): Pages 1470-1481 PUBMED
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor
De Vos, Bob & Viergever, Max & Jong, Pim & Išgum, Ivana
Lecture Notes in Computer Science. 2016 Oct; Pages 161-169