Publications of Anton Schreuder

2023

Papers in conference proceedings

  1. S. Scharm, C. Schaefer-Prokop, A. Schreuder, J. Ehmig, J. Fuge, F. Wacker, A. Prasse and H. Shin, "CT-based assessment of alveolar collapse using attenuation histograms in inspiration and expiration: Evaluation as a prognostic imaging marker in IPF patients", Imaging, 2023.
    Abstract DOI
  2. S. Scharm, J. Ehmig, C. Schaefer-Prokop, A. Schreuder, J. Fuge, F. Wacker, A. Prasse and H. Shin, "Alveolar collapse as a prognostic marker in patients with IPF: A CT-based assessment using an extended parametric response mapping technique", European Respiratory Journal, 2023.
    Abstract DOI

2022

Papers in international journals

  1. A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Isgum, P. de Jong, M. van den Heuvel, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Scan-based competing death risk model for reevaluating lung cancer computed tomography screening eligibility", European Respiratory Journal, 2022;59(5):2101613.
    Abstract DOI PMID Download Cited by ~3

Abstracts

  1. K. Venkadesh, T. Aleef, A. Schreuder, E. Scholten, B. van Ginneken, M. Prokop and C. Jacobs, "Deep learning for estimating pulmonary nodule malignancy risk using prior CT examinations in lung cancer screening", European Congress of Radiology, 2022.
    Abstract

2021

Papers in international journals

  1. C. Jacobs, A. Schreuder, S. van Riel, E. Scholten, R. Wittenberg, M. Winkler Wille, B. de Hoop, R. Sprengers, O. Mets, B. Geurts, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement", Radiology: Imaging Cancer, 2021;3(5):e200160.
    Abstract DOI PMID Cited by ~9
  2. A. Schreuder, M. Prokop, E. Scholten, O. Mets, K. Chung, F. Mohamed Hoesein, C. Jacobs and C. Schaefer-Prokop, "CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?", Cancers, 2021;13(11):2812.
    Abstract DOI PMID Cited by ~2
  3. A. Schreuder, E. Scholten, B. van Ginneken and C. Jacobs, "Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?", Translational Lung Cancer Research, 2021;10(5):2378-2388.
    Abstract DOI PMID Cited by ~31
  4. K. Venkadesh, A. Setio, A. Schreuder, E. Scholten, K. Chung, M. W Wille, Z. Saghir, B. van Ginneken, M. Prokop and C. Jacobs, "Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.", Radiology, 2021;300(2):438-447.
    Abstract DOI PMID Algorithm Cited by ~64
  5. A. Schreuder, O. Mets, C. Schaefer-Prokop, C. Jacobs and M. Prokop, "Microsimulation modeling of extended annual CT screening among lung cancer cases in the National Lung Screening Trial", Lung Cancer, 2021;156:5-11.
    Abstract DOI PMID Download Cited by ~1
  6. A. Schreuder and C. Schaefer-Prokop, "Beyond the AJR: "Association of the Intensity of Diagnostic Evaluation With Outcomes in Incidentally Detected Lung Nodules"", American Journal of Roentgenology, 2021;217:1011-1011.
    Abstract DOI PMID
  7. A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Isgum, P. de Jong, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening", European Respiratory Journal, 2021;58(3):2003386.
    Abstract DOI PMID Cited by ~6

Abstracts

  1. K. Venkadesh, A. Schreuder, E. Scholten, S. Atkar-Khattra, J. Mayo, Z. Saghir, M. Wille, B. van Ginneken, S. Lam, M. Prokop and C. Jacobs, "Integration Of A Deep Learning Algorithm Into The Clinically Established PanCan Model For Malignancy Risk Estimation Of Screen-detected Pulmonary Nodules In First Screening CT", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract

PhD theses

  1. A. Schreuder, "Lung cancer screening: use the scan to decide who to scan when", PhD thesis, 2021.
    Abstract Url

2020

Papers in international journals

  1. A. Schreuder, C. Jacobs, E. Scholten, B. van Ginneken, C. Schaefer-Prokop and M. Prokop, "Typical CT Features of Intrapulmonary Lymph Nodes: A Review", Radiology: Cardiothoracic Imaging, 2020;2(4):e190159.
    Abstract DOI PMID Download Cited by ~7
  2. S. Schalekamp, M. Huisman, R. van Dijk, M. Boomsma, P. Freire Jorge, W. de Boer, G. Herder, M. Bonarius, O. Groot, E. Jong, A. Schreuder and C. Schaefer-Prokop, "Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19", Radiology, 2020:202723.
    Abstract DOI PMID Cited by ~72
  3. A. Schreuder, C. Jacobs, E. Scholten, M. Prokop, B. van Ginneken, D. Lynch and C. Schaefer-Prokop, "Association between the number and size of intrapulmonary lymph nodes and chronic obstructive pulmonary disease severity", PeerJ, 2020;8:e9166.
    Abstract DOI PMID Download
  4. A. Schreuder and C. Schaefer-Prokop, "Perifissural nodules: ready for application into lung cancer CT screening?", Annals of Translational Medicine, 2020.
    Abstract DOI

2019

Papers in international journals

  1. A. Schreuder, C. Jacobs, L. Gallardo-Estrella, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances", PLoS One, 2019;14(2):e0212756.
    Abstract DOI PMID Download Cited by ~3

Abstracts

  1. C. Jacobs, E. Scholten, A. Schreuder, M. Prokop and B. van Ginneken, "An observer study comparing radiologists with the prize-winning lung cancer detection algorithms from the 2017 Kaggle Data Science Bowl", Annual Meeting of the Radiological Society of North America, 2019.
    Abstract

2018

Papers in international journals

  1. A. Schreuder, B. van Ginneken, E. Scholten, C. Jacobs, M. Prokop, N. Sverzellati, S. Desai, A. Devaraj and C. Schaefer-Prokop, "Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability", Radiology, 2018;288(3):867-875.
    Abstract DOI PMID Cited by ~36
  2. A. Schreuder, C. Schaefer-Prokop, E. Scholten, C. Jacobs, M. Prokop and B. van Ginneken, "Lung cancer risk to personalise annual and biennial follow-up computed tomography screening", Thorax, 2018;73(7):626-633.
    Abstract DOI PMID Download Cited by ~29

Abstracts

  1. A. Schreuder, B. van Ginneken, E. Scholten, C. Jacobs, M. Prokop, N. Sverzellati, S. Desai, A. Devaraj and C. Schaefer-Prokop, "What is a perifissural nodule? Low inter-observer agreement in NLST data", European Societies of Cardiovascular Radiology and Thoracic Imaging joint meeting, 2018.
    Abstract
  2. A. Schreuder, C. Jacobs, N. Lessmann, E. Scholten, I. Isgum, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Improved Lung Cancer and Mortality Prediction Accuracy Using Survival Models Based on Semi-Automatic CT Image Measurements", World Conference on Lung Cancer, 2018.
    Abstract
  3. A. Schreuder, C. Schaefer-Prokop, E. Scholten, D. Lynch, J. Charbonnier and C. Jacobs, "Perifissural nodule count as a biomarker for COPD GOLD stages and emphysema measurements?", European Societies of Cardiovascular Radiology and Thoracic Imaging Joint Meeting, 2018.
    Abstract
  4. A. Schreuder, C. Jacobs, L. Gallardo-Estrella, C. and Schaefer-Prokop, W. Fukumoto, M. Prokop and B. van Ginneken, "Normalized emphysema score progression: An improved CT biomarker for mortality", Annual Meeting of the Radiological Society of North America, 2018.
    Abstract

2017

Abstracts

  1. A. Schreuder, C. Schaefer-Prokop, E. Scholten, C. Jacobs, M. Prokop and B. van Ginneken, "Use of a risk model combining clinical information and CT findings to customize follow-up intervals in lung cancer screening", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract