B3CARE

Projectomschrijving

CT-screening voor B3-ziekten (longkanker, COPD, hart- en vaatziekten) opent nieuwe wegen voor preventie- en/of vroege behandeling. B3CARE wil voor het eerst biomarkers voor de B3 integreren in één screeningstest. Voor implementatie van de geïntegreerde B3-screening zijn validatie en standaardisatie van de imaging biomarkers, en het evalueren van mogelijke effecten op volksgezondheid en kosten essentieel. Voor alle B3 imaging biomarkers is het daarnaast nodig om referentiewaarden te bepalen op basis van leeftijd en geslacht in verschillende populaties. Dit kan alleen worden bereikt door het beschikbaar maken van een gestandaardiseerde, hoogwaardige beelddata biobank; die wordt geleverd in B3CARE.

Producten

Presentatie

Titel: Calcium scoring: current state of knowledge

Titel: Agreement of coronary calcium scoring on chest CT and ECG triggered cardiac CT: a population-based study
Auteur: Vliegenthart, R.

Titel: B3 findings in the general population
Auteur: R Vliegenthart

Titel: Cost-utility analysis of Big-3 screening to simultaneously detect lung cancer, COPD and CVD
Auteur: Carina Behr
Link: https://www.eur.nl/en/events/lolahesg-2023-05-25

Titel: Triple screening: lung cancer, CVD, COPD
Auteur: Rozemarijn Vliegenthart

Titel: Coronary artery calcium scoring based on high-pitch third-generation dual-source CT: Comparison between non-ECG triggered and ECG-triggered scanning
Auteur: Xia, C.

Titel: B3 findings in the general population
Auteur: R Vliegenthart

Titel: AI: role in diagnostic radiology?
Auteur: R Vliegenthart

Titel: B3CARE XNAT-Based Research Infrastructure for Imaging Biomarker Evaluation
Auteur: J.J. Uitterdijk, H.S.K. Brouwers, M. Veening, G.J. Pelgrim, M.Dijkhuizen, R. Vliegenthart, P.M.A. van Ooijen

Titel: Manual Correction of CT-Derived Airway Segmentations for Artificial Intelligence Applications: A Technical Note
Auteur: I. Dudurych, A. Garcia-Uceda Juarez, R. Vliegenthart, M. de Bruijne

Titel: My future and me: personalised cardiac risk stratification
Auteur: R. Vliegenthart

Titel: Optimising screening f or lung cancer, COPD and CVD

Titel: Economic viability of low-dose CT screening of the ‘Big 3’: lung cancer, chronic obstructive pulmonary disease and cardiovascular disease in the Netherlands
Auteur: C.M. Behr, H. Koffijberg, K. Degeling, M.J. IJzerman

Titel: Noise reduction methods in ultra-low-dose chest CT: the effect on CT densitometry in COPD patients
Auteur: H. J. Wisselink, G. J. Pelgrim, M. Rook, P. M. Van Ooijen, M. P. van den Berge, P. D. G. de bock, R. Vliegenthart

Titel: Real world translation: How I do it and lessons learnt: Disease detection
Auteur: R. Vliegenthart

Titel: My future and me: personalised cardiac risk stratification

Titel: B3 findings in the general population
Auteur: R Vliegenthart

Titel: Coronary artery disease assessment as part of a lung cancer screening programme: how to do it?,

Titel: Cost-effectiveness Analysis of Big-3 Screening Program: Lung Cancer, Chronic Obstructive Pulmonary Disease and Cardiovascular Disease
Auteur: Carina Behr
Link: https://www.smdmmeeting.org/meeting-program/program-overview/

Titel: Advancements in Generative AI for Radiological Imaging
Auteur: Tan Can Ozan

Titel: (Nodule) volumetry and risk calculators

Titel: B3Care health economic evaluation pitch at center for Medical Imaging North East Netherlands (CMI-NEN) symposium in Groningen

Titel: Model-based Health Economic Evaluations of Screening using Chest Computed Tomography: A Systematic Review
Auteur: C. Behr

Titel: Artificial intelligence in thoracic imaging: what is AI and where do we stand?
Auteur: Rozemarijn Vliegenthart

Titel: AI and detection, classification and prognosis of thoracic malignancies
Auteur: Rozemarijn Vliegenthart

Titel: Augmented Diagnostic Training in Radiology
Auteur: Elfi I.S. Hofmeijer

Titel: Systematic review and meta-analysis of CT-derived bronchial parameters
Auteur: I. Dudurych, S. Muiser, N. McVeigh, H. Kerstjens, M. van den Berge, M. de Bruijne, R. Vliegenthart

Titel: Automated Pipeline for XNAT Data Bulk Export
Auteur: N.G. van der Velden, J.J. Uitterdijk, G.J. Pelgrim, M. Veening, R. Vliegenthart, P.M.A. van Ooijen

Titel: Coronary artery disease assessment as part of a lung cancer screening programme: how to do it?
Auteur: R. Vliegenthart

Titel: CT imaging biomarkers for personalized health strategies,
Auteur: Vliegenthart, R.

Titel: Reference Bronchial Parameters for the General Population
Auteur: Dudurych Ivan

Titel: Early health technology assessment for three diseases during course Decision Making in Healthcare

Titel: Relationship between cardiovascular risk factors and coronary calcification in a middle-aged Dutch population: the Imalife study
Auteur: C Xia, M Vonder, G Sidorenkov, M Den Dekker, M Oudkerk, J Van Bolhuis, G Pelgrim, M Rook, G De Bock, P Van Der Harst, R Vliegenthart

Titel: Symposium ImaLife 6000
Auteur: Vliegenthart, R.

Titel: Real world translation: How I do it and lessons learnt: Disease detection

Titel: First results of a population-based study into prevalence and severity of coronary calcification as determined by third-generation dual-source computed tomography
Auteur: C. Xia, M. Rook, G. J. Pelgrim, J. N. van Bolhuis, P. M. Van Ooijen, M. Vonder, M. Oudkerk, G. De Bock, P. van der Harst, R. Vliegenthart

Titel: Symposium ImaLife 6000, UMCG Groningen
Auteur: Vliegenthart, R.

Titel: Calcium scores distribution across coronary artery by age and sex: the ImaLife study
Auteur: R Ma, C Xia, M Van Assen, M Vonder, G Pelgrim, JN Van Bolhuis, P Van Der Harst, R Vliegenthart

Titel: Deep Learning Algorithms for CT Lung Nodule Detection and Classification
Auteur: Sourlos N
Link: https://drive.google.com/file/d/1v-n9VkcU4MQbRmlFZKQH488XuROJ_agx/view

Titel: Advancements in Generative AI for Radiological Imaging

Titel: Calcium scoring: current state of knowledge
Auteur: R. Vliegenthart

Titel: Lung cancer screening

Titel: Lung cancer screening
Auteur: R. Vliegenthart

Titel: B3 findings in the general population
Auteur: R Vliegenthart

Titel: First results of a population-based study into prevalence and severity of coronary calcification as determined by thirdgeneration dual-source computed tomography
Auteur: C. Xia, M. Rook, G. J. Pelgrim, J. N. van Bolhuis, P. M. Van Ooijen, M. Vonder, M. Oudkerk, G. De Bock, P. van der Harst, R. Vliegenthart

Titel: Automated Pipeline for XNAT Data Bulk Export
Auteur: N.G. van der Velden, J.J. Uitterdijk, G.J. Pelgrim, M. Veening, R. Vliegenthart, P.M.A. van Ooijen

Titel: Virtual Research Environment
Auteur: Hans Brouwers

Titel: Headroom analysis of lung cancer screening with low-dose CT: assessing the impact of extending screening to also include cardiovascular disease and chronic obstructive pulmonary disease

Titel: Reliability of coronary calcium scoring on low-dose chest CT: comparison with ECG-triggered cardiac CT based on 3rd generation dual-source CT
Auteur: Xia C

Titel: (Nodule) volumetry and risk calculators
Auteur: R. Vliegenthart

Titel: Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT
Auteur: Nikos Sourlos, GertJan Pelgrim, Hendrik Joost Wisselink, Xiaofei Yang, Gonda de Jonge, Mieneke Rook, Mathias Prokop, Grigory Sidorenkov, Marcel van Tuinen, Rozemarijn Vliegenthart, Peter van Ooijen

Titel: Model-Based Health Economic Evaluations of Screening Using Chest Computed Tomography: A Systematic Review
Auteur: C. Behr, MJ Oude Wolcherink, M IJzerman, R Vliegenthart, E Koffijberg
Link: https://www.valueinhealthjournal.com/article/S1098-3015(21)02255-5/fulltext?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS1098301521022555%3Fshowall%3Dtrue

Titel: Cancer Imaging AI Tools for Healthcare Improvements: Where is the Evidence?: Lung nodule evaluation
Auteur: Rozemarijn Vliegenthart

Titel: Headroom analysis of lung cancer screening with low-dose CT: assessing the impact of extending screening to also include cardiovascular disease and chronic obstructive pulmonary disease
Auteur: C.M. Behr, H. Koffijberg, K. Degeling, M.J. IJzerman

Titel: B3 findings in the general population
Auteur: R Vliegenthart

Titel: Artificial Intelligence in Cardiovascular imaging: CT applications
Auteur: Rozemarijn Vliegenthart

Titel: Methods for cohort health economic modelling

Titel: AI for static and dynamic imaging
Auteur: Rozemarijn Vliegenthart

Titel: Pitfalls bij longnodulen op CT

Titel: Pitfalls bij longnodulen op CT
Auteur: R. Vliegenthart

Titel: Generatieve AI: van ChatGPT tot Diagnostische Training
Auteur: Elfi I.S. Hofmeijer

Titel: Non-scientific presentation: CT imaging biomarkers for personalized health strategies,
Auteur: Vliegenthart, R.

Titel: CIT B3care, Werkpakket 1
Auteur: Hans Brouwers

Titel: Lecture on early HTA for Module 2 Bachelor of Health Science students
Auteur: h.koffijberg

Titel: AI based bronchial parameter measurements in the general population
Auteur: Ivan Dudurych

Titel: B3 findings in the general population
Auteur: R Vliegenthart

Titel: Lung cancer screening
Auteur: Rozemarijn Vliegenthart

Titel: Identifying diseases earlier using AI-based imaging biomarkers
Auteur: GJ Pelgrim and I Dudurych
Link: https://umcgresearch.org/w/dash-webinar-identifying-diseases-earlier-using-ai-based-imagingbiomarkers

Titel: Citizens’ Perspective on Combination Screening for Lung Cancer, COPD and CVD
Auteur: Carina Behr
Link: https://wclc2022.iaslc.org/wp-content/uploads/2022/07/WCLC2022-Program-Book.pdf

Titel: Augmented Diagnostic Training in Radiology
Auteur: Elfi I.S. Hofmeijer

Artikel

Titel: Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
Auteur: S. Zheng, J. Guo, X. Cui, R. N. J. Veldhuis, M. Oudkerk and P. M. A. van Ooijen
Magazine: IEEE Transactions on Medical Imaging

Titel: Validation of an AI-based algorithm for measurement of the thoracic aortic diameter in low-dose chest CT
Auteur: Hamelink II, de Heide EEJ, Pelgrim GJGJ, Kwee TCT, van Ooijen PMAP, de Bock GHT, Vliegenthart RR
Magazine: Eur J Radiol

Titel: Validation of a deep learning-based computer-aided system for lung nodule detection in a Chinese lung cancer screening program
Auteur: Cui, Xiaonan and Zheng, Sunyi and Heuvelmans, Marjolein and Du, Yihui and Sidorenkov, Grigory and Dorrius, Monique and Veldhuis, Raymond and Oudkerk, Matthijs and De Bock, Geertruida and Van Ooijen, Peter and others
Magazine: European Respiratory Journal

Titel: Early imaging biomarkers of lung cancer, COPD and coronary artery disease in the general population: rationale and design of the ImaLife (Imaging in Lifelines) Study.
Auteur: Xia, Congying; Rook, Mieneke; Pelgrim, Gert Jan; Sidorenkov, Grigory; Wisselink, Hendrik J; van Bolhuis, Jurjen N; van Ooijen, Peter M A; Guo, Jiapan; Oudkerk, Matthijs; Groen, Harry
Magazine: European Journal of Epidemiology

Titel: Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation
Auteur: Liu, L., Brune, C., Veldhuis, R.
Magazine: Tsapatsoulis, N., et al. Computer Analysis of Images and Patterns. CAIP 2023

Titel: Ultra-low-dose CT combined with noise reduction techniques for quantification of emphysema in COPD patients: An intra-individual comparison study with standard-dose CT
Auteur: Wisselink HJ, Pelgrim GJ, Rook M, Imkamp K, van Ooijen PMA, van den Berge M, de Bock GH, Vliegenthart R
Magazine: European Journal of Radiology

Titel: Ultra-low-dose CT combined with noise reduction techniques for quantification of emphysema in COPD patients: An intra-individual comparison study with standard-dose CT.
Auteur: Wisselink HJ, Pelgrim GJ, Rook M, Imkamp K, van Ooijen PMA, van den Berge M, de Bock GH, Vliegenthart R
Magazine: Eur J Radiol

Titel: Evaluation of a novel deep learning-based classifier for perifissural nodules
Auteur: Han D, Heuvelmans M, Rook M, Dorrius M, van Houten L, Price NW, Pickup LC, Novotny P, Oudkerk M, Declerck J, Gleeson F, van Ooijen P, Vliegenthart R
Magazine: European Radiology

Titel: Crowd-Sourced Deep Learning for Intracranial Hemorrhage Identification: Wisdom of Crowds or Laissez-Faire
Auteur: E.I.S. Hofmeijer, C.O. Tan, F. van der Heijden and R. Gupta
Magazine: American Journal of Neuroradiology
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Titel: Screening for Early Lung Cancer, Chronic Obstructive Pulmonary Disease, and Cardiovascular Disease (the Big-3) Using Low-dose Chest Computed Tomography: Current Evidence and Technical Considerations.
Auteur: Heuvelmans MA, Vonder M, Rook M, Groen HJM, De Bock GH, Xie X, Ijzerman MJ, Vliegenthart R, Oudkerk M.
Magazine: Journal of Thoracic Imaging
Link: http://hdl.handle.net/11370/a6d11057-3f01-4f4a-8b12-9fde922405d8

Titel: Measuring pulmonary function in COPD using quantitative chest computed tomography analysis
Auteur: Bakker JT, Klooster K, Vliegenthart R, Slebos DJ
Magazine: European Respiratory Review

Titel: Standardization of Artificial Intelligence Development in Radiotherapy
Auteur: Alessia de Biase, Nikos Sourlos, Peter M A van Ooijen
Magazine: Semin Radiat Oncol
Begin- en eindpagina:
Link: https://www.sciencedirect.com/science/article/pii/S105342962200039X?via%3Dihub

Titel: Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification.
Auteur: Sourlos N, Wang J, Nagaraj Y, van Ooijen P, Vliegenthart R.
Magazine: Cancers

Titel: A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist
Auteur: Maria Jorina van Kooten, Can Ozan Tan, Elf Inez Saïda Hofmeijer, Peter Martinus Adrianus van Ooijen, Walter Noordzij, Maria Jolanda Lamers, Thomas Christian Kwee, Rozemarijn Vliegenthart and Derya Yakar
Magazine: Insights into Imaging

Titel: Potential for dose reduction in CT emphysema densitometry with post-scan noise reduction: a phantom study
Auteur: Potential for dose reduction in CT emphysema densitometry with post-scan noise reduction: a phantom study
Magazine: British journal radiology

Titel: Can we increase efficiency of CT lung cancer screening by combining with CVD and COPD screening? Results of an early economic evaluation.
Auteur: Behr CM, Kof f ijberg H, Degeling K, Vliegenthart R, IJzerman MJ
Magazine: Eur Radiology
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Titel: Relationships of pericoronary and epicardial fat measurements in male and female patients with and without coronary artery disease
Auteur: Ma R, van Assen M, Sidorenkov G, Ties D, Jan Pelgrim G, Stillman A, de Cecco C, van der Harst P, Vliegenthart R
Magazine: Eur J Radiol

Titel: P42. 06 Automatic Lung Nodule Detection by a Deep Learning-Based CAD System: The Value of Slab Thickness in the Maximum Intensity Projection Technique
Auteur: Zheng, S and Cui, X and Vonder, M and Veldhuis, R and Dorrius, M and Ye, Z and Vliegenthart, R and Oudkerk, M and Van Ooijen, P
Magazine: Journal of Thoracic Oncology

Titel: Coronary Artery Calcium and Cognitive Function in Dutch Adults: Cross-Sectional Results of the Population-Based ImaLife Study.
Auteur: Xia C, Vonder M, Sidorenkov G, Ma R, Oudkerk M, van der Harst P, De Deyn PP, Vliegenthart R
Magazine: J.Am Heart Assoc

Titel: Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models.
Auteur: van den Oever LB, Spoor DS, Crijns APG, Vliegenthart R, Oudkerk M, Veldhuis RNJ, de Bock GH, van Ooijen PMA
Magazine: J Med Syst

Titel: Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium
Auteur: [1] Leonardus B. van den Oever, Ludo Cornelissen, Marleen Vonder, Congying Xia, Jurjen N. van Bolhuis, Rozemarijn Vliegenthart, Raymond N.J. Veldhuis, Geertruida H. de Bock, Matthijs Oudkerk, Peter M.A. van Ooijen
Magazine: European Journal of Radiology

Titel: Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium
Auteur: Leonardus B. van den Oever, Ludo Cornelissen, Marleen Vonder, Congying Xia, Jurjen N. van Bolhuis, Rozemarijn, Vliegenthart, Raymond N.J. Veldhuis, Geertruida H. de Bock, Matthijs Oudkerk, Peter M.A. van Ooijen
Magazine: European Journal of Radiology

Titel: Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction
Auteur: Ivan Dudurych, Antonio Garcia-Uceda, · Jens Petersen, Yihui Du,· Rozemarijn Vliegenthart, Marleen de Bruijne
Magazine: European Radiology
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Titel: High-pitch dual-source CT for coronary artery calcium scoring: A head-to-head comparison of non-triggered chest versus triggered cardiac acquisition
Auteur: Xia C, Vonder M, Pelgrim GJ, Rook M, Xie X, Alsurayhi A, van Ooijen PMA, van Bolhuis JN, Oudkerk M, Dorrius M, van der Harst P, Vliegenthart R.
Magazine: Journal of Cardiovascular Computed Tomography

Titel: CT characteristics of solid pulmonary nodules of never smokers versus smokers: A population-based study.
Auteur: Cai J, Vonder M, Heuvelmans MA, Pelgrim GJ, Rook M, Kramer G, Sidorenkov G, Groen HJM, de Bock GH, Vliegenthart R
Magazine: Eur J Radiol

Titel: Measuring pulmonary function in COPD using quantitative chest computed tomography analysis.
Auteur: Jens T. Bakker, Karin Klooster, Rozemarijn Vliegenthart, Dirk-Jan Slebos
Magazine: European Respiratory Review

Titel: Effect of slab thickness on pulmonary nodule detection using maximum intensity projection in a deep learning-based computer-aided detection system
Auteur: Sunyi Zheng, Xiaonan Cui, Marleen Vonder, Raymond N.J. Veldhuis, Monique D. Dorrius, Zhaoxiang Ye, Rozemarijn Vliegenthart, Matthijs Oudkerk, Peter M.A. van Ooijen
Magazine: European Respiratory Journal

Titel: Validation of a deep learning-based computer-aided system for lung nodule detection in a Chinese lung cancer screening program
Auteur: Xiaonan Cui, Sunyi Zheng, Marjolein Heuvelmans, Yihui Du, Grigory Sidorenkov, Monique Dorrius, Raymond Veldhuis, Matthijs Oudkerk, Geertruida De Bock, Peter Van Ooijen, Rozemarijn Vliegenthart, Zhaoxiang Ye
Magazine: European Respiratory Journal

Titel: Using the U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Non-Contrast CT
Auteur: Liu L, Ma R, van Ooijen PMA, Oudkerk M, Vliegenthart R, Brune C, Veldhuis R
Magazine: Technologies

Titel: Anatomy-aided deep learning for medical image segmentation: a review
Auteur: Lu Liu and Jelmer Maarten Wolterink and Christoph Brune and Raymond N J Veldhuis
Magazine: Physics in Medicine & Biology

Titel: Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage
Auteur: Sunyi Zheng, Xiaonan Cui, Marleen Vonder, Raymond N.J. Veldhuis, Zhaoxiang Ye, Rozemarijn Vliegenthart, Matthijs Oudkerk, Peter M.A. van Ooijen
Magazine: Computer Methods and Programs in Biomedicine
Link: https://www.sciencedirect.com/science/article/pii/ S016926072031453X?via%3Dihub

Titel: Effect of iterative reconstruction and artificial neural network denoising techniques on lung nodule volumetry in ultra-low dose computed tomography: a phantom stud
Auteur: Han D, Heuvelmans MA, Pelgrim G, Sidorenkov S, van Ooijen, PMA, Oudkerk M, Vliegenthart R,
Magazine: Insights into Imaging

Titel: Creating a training set for artificial intelligence from initial segmentations of airways
Auteur: Dudurych I, Garcia-Uceda A, Saghir Z, Tiddens HAWM, Vliegenthart R, de Bruijne M.
Magazine: Eur Radiol Exp
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Titel: Early imaging biomarkers of lung cancer, COPD and coronary artery disease in the general population: rationale and design of the ImaLife (Imaging in Lifelines) Study.
Auteur: Xia C, Rook M, Pelgrim GJ, Sidorenkov G, Wisselink HJ, van Bolhuis JN, van Ooijen PMA, Guo J, Oudkerk M, Groen H, van den Berge M, van der Harst P, Dijkstra H, Vonder M, Heuvelmans MA, Dorrius MD, De Deyn PP, de Bock GH, Dotinga A, Vliegenthart R.
Magazine: European Journal of Epidemiology
Link: http://hdl.handle.net/11370/f14ceee8-8616-455f-b7ec-125b7580265c

Titel: Evaluation of a novel deep learning-based classifier for perifissural nodules.
Auteur: Han D, Heuvelmans M, Rook M, Dorrius M, van Houten L, Price NW, Pickup LC, Novotny P, Oudkerk M, Declerck J, Gleeson F, van Ooijen P, Vliegenthart R
Magazine: Eur Radiol

Titel: Potential for dose reduction in CT emphysema densitometry with post-scan noise reduction: a phantom study
Auteur: Hendrik Joost Wisselink, Gert Jan Pelgrim*, Mieneke Rook, Maarten van den Berge, Kees Slump, Yeshu Nagaraj, Peter van Ooijen, Matthijs Oudkerk, Rozemarijn Vliegenthart
Magazine: British journal radiology

Titel: Association between visual emphysema and lung nodules on low-dose CT scan in a Chinese Lung Cancer Screening Program (Nelcin-B3)
Auteur: Yang X, Dorrius MD, Jiang W, Nie Z, Vliegenthart R, Groen HJM, Heuvelmans MA, Sidorenkov G, Vonder M, Ye Z, de Bock GH
Magazine: Eur Radiol

Titel: Population-Based Screening Using Low-Dose Chest Computed Tomography: A Systematic Review of Health Economic Evaluations
Auteur: Behr CM, Oude Wolcherink MJ, IJzerman MJ, Vliegenthart R, Koffijberg H
Magazine: Pharmacoeconomics

Titel: Application of artificial intelligence in cardiac CT: From basics to clinical practice.
Auteur: van den Oever LB, Vonder M, van Assen M, van Ooijen PMA, de Bock GH, Xie XQ, Vliegenthart R
Magazine: European Journal of Radiology

Titel: Seasonal prevalence and characteristics of low-dose CT detected lung nodules in a general Dutch population
Auteur: Lancaster HL, Heuvelmans MA, Pelgrim GJ, Rook M, Kok MGJ, Aown A, de Bock GH, van den Berge M, Groen HJM, Vliegenthart R
Magazine: Scientific Reports

Titel: Willingness to participate in combination screening for lung cancer, chronic obstructive pulmonary disease and cardiovascular disease in four European countries.
Auteur: Carina Behr, Hendrik Kofjberg, Maarten IJzerman, Hans Ulrich Kauczor, Marie Pierre Revel, Mario Silva, Oyunbileg von Stackelberg, Janine van Til and Rozemarijn Vliegenthart
Magazine: Eur Radiol

Titel: Coronary Artery Calcium and Cognitive Function in Dutch Adults: Cross-Sectional Results of the Population-Based ImaLife Study
Auteur: Xia C, Vonder M, Sidorenkov G, Ma R, Oudkerk M, van der Harst P, De Deyn PP, Vliegenthart R
Magazine: Journal of the American Heart Association

Titel: Bronchial wall parameters on CT in healthy never-smoking, smoking, COPD, and asthma populations: a systematic review and meta-analysis.
Auteur: Dudurych I, Muiser S, McVeigh N, Kerstjens HAM, van den Berge M, de Bruijne M, Vliegenthart R.
Magazine: Eur Radiol

Titel: Cardiovascular Risk Factors and Coronary Calcification in a Middle-aged Dutch Population: The ImaLife Study
Auteur: Xia C, Vonder M, Sidorenkov G, Den Dekker M, Oudkerk M, van Bolhuis JN, Pelgrim GJ, Rook M, de Bock GH, van der Harst P, Vliegenthart R
Magazine: Journal of Thoracic Imaging

Titel: Willingness to participate in combination screening for lung cancer, chronic obstructive pulmonary disease and cardiovascular disease in four European countries
Auteur: Behr C, Koffijberg H, IJzerman M, Kauczor HU, Revel MP, Silva M, von Stackelberg O, van Til J, Vliegenthart R.
Magazine: Eur Radiol

Titel: valuating the Feasibility of a Deep Learning-Based Computer-Aided Detection System for Lung Nodule Detection in a Lung Cancer Screening Program
Auteur: X. Cui, S. Zheng, M. Heuvelmans, Y. Du, G. Sidorenkov, M. Dorrius, R. Veldhuis, M. Oudkerk, G. De Bock, P. Van Ooijen, R. Vliegenthart, Z. Ye
Magazine: Journal of Thoracic Oncology
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Titel: Automatic Lung Nodule Detection by a Deep Learning-Based CAD System: The Value of Slab Thickness in the Maximum Intensity Projection Technique
Auteur: S. Zheng, X. Cui, M. Vonder, R. Veldhuis, M. Dorrius, Z. Ye, R. Vliegenthart, M. Oudkerk, P. Van Ooijen
Magazine: Journal of Thoracic Oncology
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Titel: Artificial CT images can enhance variation of case images in diagnostic radiology skills training
Auteur: Elfi .I.S. Hofmeijer, Sheng-Chih Wu, Rozemarijn Vliegenthart, Cornelis H. Slump, F. van der Heijden and Can Ozan Tan
Magazine: Insights into Imaging
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Titel: Effect of slab thickness on pulmonary nodule detection using maximum intensity projection in a deep learning-based computer-aided detection system
Auteur: Zheng, Sunyi and Cui, Xiaonan and Vonder, Marleen and Veldhuis, Raymond and Dorrius, Monique and Ye, Zhaoxiang and Vliegenthart, Rozemarijn and Oudkerk, Matthijs and Van Ooijen, Peter
Magazine: European Respiratory Society

Titel: Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification
Auteur: Sourlos N, Wang J, Nagaraj Y, van Ooijen P, Vliegenthart R
Magazine: Cancers (Basel)

Titel: P42. 02 Evaluating the Feasibility of a Deep Learning-Based Computer-Aided Detection System for Lung Nodule Detection in a Lung Cancer Screening Program
Auteur: Cui, X and Zheng, S and Heuvelmans, M and Du, Y and Sidorenkov, G and Dorrius, M and Veldhuis, R and Oudkerk, M and De Bock, G and Van Ooijen, P and others
Magazine: Journal of Thoracic Oncology

Titel: CT-based emphysema characterization per lobe: A proof of concept.
Auteur: Wisselink HJ, Yang X, Rook M, Heuvelmans MA, Jiang W, Zhang J, Du Y, Vonder M, Dorrius MD, Ye Z, de Bock GH, Vliegenthart RCT-based emphysema characterization per lobe: A proof of concept
Magazine: Eur J Radiol

Titel: Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification
Auteur: Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui, Xueping Jing, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M.A. van Ooijen
Magazine: Electrical Engineering and Systems Science

Titel: Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms
Auteur: van den Oever LB, van Veldhuizen WA, Cornelissen LJ, Spoor DS, Willems TP, Kramer G, Stigter T, Rook M, Crijns APG, Oudkerk M, Veldhuis RNJ, de Bock GH, van Ooijen PMA
Magazine: J Digit Imaging
Begin- en eindpagina:

Titel: Creating a training set for AI from initial segmentations of airways
Auteur: Ivan Dudurych
Magazine: European Radiology AI Blog Post
Link: https://www.myesr.org/ai-blog/creating-a-training-set-for-artificial-intelligence-from-initial-segmentations-of-airways/

Titel: Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets
Auteur: Wang J, Sourlos N, Zheng S, van der Velden N, Pelgrim GJ, Vliegenthart R, van Ooijen P
Magazine: Heliyon

Titel: Dose reduction in CT emphysema densitometry enabled by iterative reconstruction and post-scan noise reduction: a phantom study
Auteur: Wisselink HJ, Pelgrim G, Rook M, Oudkerk M, Vliegenthart R,
Magazine: Insights Imaging

Titel: Screening for Early Lung Cancer, Chronic Obstructive Pulmonary Disease, and Cardiovascular Disease (the Big-3) Using Low-dose Chest Computed Tomography: Current Evidence and Technical Considerations.
Auteur: Heuvelmans, Marjolein A; Vonder, Marleen; Rook, Mieneke; Groen, Harry J M; De Bock, Geertruida H; Xie, Xueqian; Ijzerman, Maarten J; Vliegenthart, Rozemarijn; Oudkerk, Matthijs
Magazine: Journal of thoracic imaging

Titel: Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification
Auteur: Zheng, Sunyi and Cornelissen, Ludo J and Cui, Xiaonan and Jing, Xueping and Veldhuis, Raymond NJ and Oudkerk, Matthijs and van Ooijen, Peter MA,
Magazine: Medical physics

Titel: Cardiovascular Risk Factors and Coronary Calcification in a Middle-aged Dutch Population: The ImaLife Study.
Auteur: Xia C, Vonder M, Sidorenkov G, Den Dekker M, Oudkerk M, van Bolhuis JN, Pelgrim GJ, Rook M, de Bock GH, van der Harst P, Vliegenthart R.
Magazine: J Thorac Imaging
Begin- en eindpagina:

Titel: Artificial Intelligence for Opportunistic Chest CT Screening and Prognostication
Auteur: Nikos Sourlos, Peter M. A. van Ooijen & Rozemarijn Vliegenthart
Magazine: Artificial Intelligence in Cardiothoracic Imaging
Begin- en eindpagina:

Titel: Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification
Auteur: Sunyi Zheng, Ludo J Cornelissen, Xiaonan Cui, Xueping Jing, Raymond N J Veldhuis, Matthijs Oudkerk, Peter M A van Ooijen
Magazine: Medical physics

Overig

Titel: Repository containing code used for "Crowd-sourced Deep Learning for Intracranial Hemorrhage Identification: Wisdom of Crowds or Laissez Faire Information Corruption".
Link: https://github.com/UT-RAM-AIM/Ensemble_Learning

Titel: Preliminary Full-Text Analysis of the 7 most relevant publications on modelling multiple disease screening programs to inform the development of the dynamic simulation within WP6.
Auteur: M. IJzerman, Vliegenthart, R.

Titel: Infographic movie regarding the B3care project
Auteur: Vliegenthart, R.

Titel: ZonMW progress report
Auteur: R. Vliegenthart, Arends, N.J.

Titel: Repository contains code for Computer Assisted Learning; data preprocessing, simulation, difficulty estimation, etc.
Link: https://github.com/UT-RAM-AIM/Realism-Study

Titel: Open repository
Link: https://github.com/nsourlos/emphysema_experiment

Titel: Open repository
Link: https://github.com/nsourlos/BMI_experiment

Titel: STUDENT EVALUATION REPORT 2019/2020 - MACHINE LEARNING FOR MEDICAL APPLICATIONS

Titel: Administration of budget of B3CARE into project codes for the different WPs
Auteur: Vliegenthart, R

Titel: Open repository
Link: https://github.com/Nirvanall/MedicalImageSegmentation_FNO

Titel: Open repository
Link: https://github.com/Nirvanall/Fourier_Descriptor_Loss

Titel: Scientific abstract: Effect of iterative reconstruction and artificial neural network denoising techniques on lung nodule volumetry in ultra-low dose computed tomography: a phantom study
Auteur: Han D, Heuvelmans MA, Pelgrim G, Sidorenkov S, van Ooijen PMA, Oudkerk M, Vliegenthart R,

Titel: Preliminary Full-Text Analysis of the 7 most relevant publications on modelling multiple disease screening programs to inform the development of the dynamic simulation within WP6.

Titel: Research Plan PhD thesis B3Care WP5
Auteur: E.I.S. Hofmeijer

Titel: Scientific abstract: Dose reduction in CT emphysema densitometry enabled by iterative reconstruction and post-scan noise reduction: a phantom study
Auteur: Wisselink HJ, Pelgrim G, Rook M, Oudkerk M, Vliegenthart R,

Link: https://github.com/UT-RAM-AIM/nodule_malignancy

Titel: Scientific abstract: Agreement of coronary calcium scoring on chest CT and ECG triggered cardiac CT: a population-based study
Auteur: Vliegenthart, R.

Titel: Open repository
Link: https://github.com/nsourlos/Siemens_AIRadCompanion_automatic_comparison

Titel: Open repository
Link: https://github.com/id-b3/SegmentSure

Titel: Open repository
Link: https://github.com/id-b3/LungQuant-ImaLife

Titel: Open repository
Link: https://github.com/id-b3/AirFlow-ImaLife

Titel: Open repository
Link: https://github.com/Nirvanall/U-net_family_EAT_segmentationin_LDCT

Titel: Data base NELSON
Link: https://doi.org/10.34760/65266b301390b

Titel: Database IMALIFE
Link: https://www.lifelines.nl/deelnemers/onderzoek/imalife

Titel: MACHINE LEARNING AND DEEP LEARNING FOR BETTER ASSESSMENT OF THE BIG-3 DISEASES IN HEALTH CARE
Auteur: E.I.S. Hofmeijer

Titel: Non-scientific publications / press release: Lifelines website (www.lifelines.nl): Mijlpaal voor aanvullend onderzoek ImaLife
Auteur: Vliegenthart, R.
Link: http://www.lifelines.nl

Titel: Scientific abstract: Reliability of coronary calcium scoring on low-dose chest CT: comparison with ECG-triggered cardiac CT based on 3rd generation dual-source CT
Auteur: Xia, C.

Titel: Database CONCRETE
Link: https://concrete-project.nl/

Titel: Open repository
Link: https://github.com/id-b3/AirMorph

Titel: Scientific abstract: Coronary artery calcium scoring based on high-pitch third-generation dual-source CT: Comparison between non-ECG triggered and ECG-triggered scanning
Auteur: Xia, C.

Titel: Open repository
Link: https://github.com/id-b3/bronchipy

Titel: Open repository
Link: https://github.com/antoniogui/bronchinet

Titel: STUDENT EVALUATION REPORT 2019/2020 - MACHINE LEARNING FOR MEDICAL APPLICATIONS
Auteur: S. van Beelen, R. van der Woude, K. Klein-Gunnewiek, B. Schilder, I. Wijma, K. Kuijer, L. Rijken, T. Logendran, I. Matser, J van der Zee

Titel: Open repository
Link: https://github.com/nsourlos/interface_radiologists_review_CT_slices

Dataset

Titel: Software for calculating quantitative metrics for the 'realness' of artificial images.
Auteur: C.H. Slump, van der Heijden, F., van Ooijen, P.

Titel: Software for generating artificial images in a given domain, based on GANs.
Auteur: C.H. Slump, van der Heijden, F., van Ooijen, P.

Titel: Gathered data for the survey study via the surveying company Dynata, using Qualtrics sof tware. The study concerns 4 countries and 1200 respondents

Titel: Software for generating artificial images in a given domain, based on GANs.

Titel: Software for calculating quantitative metrics for the 'realness' of artificial images.

(Online) Filmmateriaal

Titel: AI in lung cancer screening (in Dutch)

Onderwijsproduct

Titel: Post-academic course ‘Machine Learning for Medical Applications’

Titel: Machine Learning for Medical Applications

Titel: Machine Learning for Medical Applications
Auteur: prof R. Gupta PhD MD, dr C.O. Tan PhD, dr F .van der Heijden PhD, and E.I.S Hofmeijer MSc

Titel: Big data & Applications in Biomedicine’, University of Groningen – part: AI in lung CT: the course and course materials

Titel: Post-academic course ‘Machine Learning for Medical Applications’
Auteur: C.H. Slump, van der Heijden, F., van Ooijen, P.

Titel: Knowledge gained on methods for cost -ef fectiveness modelling in R used for developing two tutorials and one examination assignment for the course Health Economic Modelling for Master students of Health Science

Praktische toepassing

Titel: B3CARE Workplan WP1
Auteur: Janz, R., Van Ooijen, P.

Titel: B3CARE Workplan WP1

Titel: Data Flow Diagram (DFD)

Titel: Protocol for first experiments with software.
Auteur: C.H. Slump, van der Heijden, F., van Ooijen, P.

Titel: Project Initialisatie Document (PID)
Auteur: Janz, R., Van Ooijen, P.

Titel: Survey paper on deep learning solution for segmentation of medical images
Auteur: R. Veldhuis, de Bruijne, M., van Ooijen, P.

Titel: Data Flow Diagram (DFD)
Auteur: Janz, R., Van Ooijen, P.

Titel: Tooling for manual segmentation in order to obtain data for training and testing ML solutions.
Auteur: R. Veldhuis, de Bruijne, M., van Ooijen, P.

Titel: Protocol for first experiments with software.

Titel: Project Initialisatie Document (PID)

Titel: Tooling for manual segmentation in order to obtain data for training and testing ML solutions.

Proefschrift

Titel: Deep learning for lung cancer on computed tomography: early detection and prognostic prediction — the University of Groningen research portal (rug.nl)
Auteur: Sunni Zheng
Link: https://research.rug.nl/en/publications/deep-learning-for-lung-cancer-on-computed-tomography-early-detect

Titel: Difficulty Measure for Radiology Cases with use of Item Analysis and Deep Learning
Auteur: Meike van Benthem

Titel: MACHINE LEARNING AND DEEP LEARNING FOR BETTER ASSESSMENT OF THE BIG-3 DISEASES IN HEALTH CARE
Auteur: E.I.S. Hofmeijer

Titel: The Usability of Generative Adversarial Networks for Automatic Segmentation of Lung Nodules in Ct-Images
Auteur: Sabien van Elst

Titel: Fast and Precise Lung CT Image Generation via Diffusion Models
Auteur: Xinrui Zu

Titel: Coronary artery calcium in the population-based ImaLife study: relation to cardiovascular risk factors and cognitive function
Auteur: Congying Xia

Titel: The Usability of Generative Adversarial Networks for Automatic Segmentation of Lung Nodules in Ct-Images
Auteur: Sabien van Elst

Titel: Fast and Precise Lung CT Image Generation via Diffusion Models
Auteur: Xinrui Zu

Titel: Deep learning for cardiac imaging — the University of Groningen research portal (rug.nl)
Auteur: Daan van den Oever
Link: https://research.rug.nl/en/publications/deep-learning-for-cardiac-imaging

Titel: Generation of Lung CT Images using Semantic Layouts
Auteur: Sheng-Chih Wu

Website

Link: https://www.b3care.nl/

Link: http://www.lifelines.nl

Titel: Projectwebsite B3CARE
Auteur: I. Dudurych, Vliegenthart, R.
Link: http://www.b3care.nl

Prijs/onderscheiding

Titel: Philips Graduation Prize for Data Science and Artificial Intelligence in Health Care

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Samenvatting

Lung cancer, chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD), the so-called Big-3 (B3), are expected to cause most deaths by 2050. Early detection and prevention are crucial to lower the disease burden. Innovative low-dose computed tomography (CT) allows simultaneous, integrated assessment of early imaging biomarkers of lung cancer, COPD and CVD. Major advantages of integrated B3 screening are expected due to shared risk factors, B3 interdependence and cost-efficiency. However, a major impediment before establishing a B3 screening program is the lack of validated and standardized B3 imaging biomarkers. Accelerating the development and marketing of image post-processing software solutions requires a large and well-annotated, high-quality imaging data biobank. The aim of this project is to advance the technology readiness of integrated B3 screening with 2 TRLs. To reach this objective, B3CARE develops a large, high-quality imaging data biobank to determine biomarker reference values, validate B3 biomarkers using image analysis software and machine learning approaches. This will accelerate software development for CT-imaging data post-processing In addition, the health economics potential of B3 screening for personalized health strategies is evaluated. B3CARE will provide an invaluable resource for the accelerated implementation of B3 imaging biomarkers and computer aided decision support.

Kenmerken

Projectnummer:: 104006003
Looptijd: 100%: 2019

2023
Onderdeel van programma:: IMDI
Gerelateerde subsidieronde:: Technology for Sustainable Healthcare
Projectleider en penvoerder:: prof. dr. R. Vliegenthart MD PhD
Verantwoordelijke organisatie:: Universitair Medisch Centrum Groningen

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