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  1. Article ; Online: Thoracic CT follow-up after non-small-cell lung cancer resection.

    Heuvelmans, Marjolein A / Oudkerk, Matthijs

    The Lancet. Oncology

    2022  Volume 23, Issue 11, Page(s) e483

    MeSH term(s) Humans ; Carcinoma, Non-Small-Cell Lung/diagnostic imaging ; Carcinoma, Non-Small-Cell Lung/surgery ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/surgery ; Follow-Up Studies ; Pneumonectomy/adverse effects ; Retrospective Studies ; Tomography, X-Ray Computed
    Language English
    Publishing date 2022-10-31
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2049730-1
    ISSN 1474-5488 ; 1470-2045
    ISSN (online) 1474-5488
    ISSN 1470-2045
    DOI 10.1016/S1470-2045(22)00565-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: COVID-19: angiotensin II in development of lung immunothrombosis and vasculitis mimics.

    Lloyd-Jones, Graham / Oudkerk, Matthijs

    The Lancet. Rheumatology

    2021  Volume 3, Issue 5, Page(s) e325–e326

    Language English
    Publishing date 2021-03-17
    Publishing country England
    Document type Journal Article
    ISSN 2665-9913
    ISSN (online) 2665-9913
    DOI 10.1016/S2665-9913(21)00068-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book: Pulmonary embolism

    Oudkerk, Matthijs

    epidemiology, diagnosis and treatment ; 78 tables

    1999  

    Author's details Matthijs Qudkerk ... (eds.)
    Keywords Lungenembolie
    Language English
    Size XII, 469 S. : Ill., graph. Darst.
    Publisher Blackwell Science
    Publishing place Berlin u.a.
    Publishing country Germany
    Document type Book
    New title Spätere Ausg. u.d.T. Deep vein thrombosis and pulmonary embolism
    HBZ-ID HT011177616
    ISBN 0-632-04223-0 ; 978-0-632-04223-4
    Database Catalogue ZB MED Medicine, Health

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  4. Book: High power gradient MR imaging

    Oudkerk, Matthijs

    advances in MRI II ; 45 tables

    1997  

    Title variant High-power MR-imaging
    Author's details Matthijs Oudkerk ... [ed.]
    Language English
    Size XXII, 495 S. : zahlr. Ill., graph. Darst.
    Publisher Blackwell Science
    Publishing place Oxford u.a.
    Publishing country Great Britain
    Document type Book
    HBZ-ID HT010734356
    ISBN 0-632-04861-1 ; 978-0-632-04861-8
    Database Catalogue ZB MED Medicine, Health

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  5. Article ; Online: Less Is More in Lung Cancer Risk Prediction Models.

    Heuvelmans, Marjolein A / Oudkerk, Matthijs

    JAMA network open

    2020  Volume 3, Issue 2, Page(s) e1921492

    MeSH term(s) Humans ; Lung ; Lung Neoplasms ; Tomography, X-Ray Computed
    Language English
    Publishing date 2020-02-05
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2019.21492
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Low-dose computed tomography lung cancer screening: Clinical evidence and implementation research.

    Lancaster, Harriet L / Heuvelmans, Marjolein A / Oudkerk, Matthijs

    Journal of internal medicine

    2022  Volume 292, Issue 1, Page(s) 68–80

    Abstract: Lung cancer causes more deaths than breast, cervical, and colorectal cancer combined. Nevertheless, population-based lung cancer screening is still not considered standard practice in most countries worldwide. Early lung cancer detection leads to better ... ...

    Abstract Lung cancer causes more deaths than breast, cervical, and colorectal cancer combined. Nevertheless, population-based lung cancer screening is still not considered standard practice in most countries worldwide. Early lung cancer detection leads to better survival outcomes: patients diagnosed with stage 1A lung cancer have a >75% 5-year survival rate, compared to <5% at stage 4. Low-dose computed tomography (LDCT) thorax imaging for the secondary prevention of lung cancer has been studied at length, and has been shown to significantly reduce lung cancer mortality in high-risk populations. The US National Lung Screening Trial reported a 20% overall reduction in lung cancer mortality when comparing LDCT to chest X-ray, and the Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON) trial more recently reported a 24% reduction when comparing LDCT to no screening. Hence, the focus has now shifted to implementation research. Consequently, the 4-IN-THE-LUNG-RUN consortium based in five European countries, has set up a large-scale multicenter implementation trial. Successful implementation of and accessibility to LDCT lung cancer screening are dependent on many factors, not limited to population selection, recruitment strategy, computed tomography screening frequency, lung-nodule management, participant compliance, and cost effectiveness. This review provides an overview of current evidence for LDCT lung cancer screening, and draws attention to major factors that need to be addressed to successfully implement standardized, effective, and accessible screening throughout Europe. Evidence shows that through the appropriate use of risk-prediction models and a more personalized approach to screening, efficacy could be improved. Furthermore, extending the screening interval for low-risk individuals to reduce costs and associated harms is a possibility, and through the use of volumetric-based measurement and follow-up, false positive results can be greatly reduced. Finally, smoking cessation programs could be a valuable addition to screening programs and artificial intelligence could offer a solution to the added workload pressures radiologists are facing.
    MeSH term(s) Artificial Intelligence ; Early Detection of Cancer/methods ; Humans ; Lung Neoplasms/diagnostic imaging ; Mass Screening/methods ; Multicenter Studies as Topic ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2022-03-24
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 96274-0
    ISSN 1365-2796 ; 0954-6820
    ISSN (online) 1365-2796
    ISSN 0954-6820
    DOI 10.1111/joim.13480
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Deep learning to stratify lung nodules on annual follow-up CT.

    Heuvelmans, Marjolein A / Oudkerk, Matthijs

    The Lancet. Digital health

    2019  Volume 1, Issue 7, Page(s) e324–e325

    MeSH term(s) Deep Learning ; Early Detection of Cancer ; Follow-Up Studies ; Humans ; Lung/diagnostic imaging ; Lung Neoplasms/diagnosis ; Tomography, X-Ray Computed
    Language English
    Publishing date 2019-10-17
    Publishing country England
    Document type Journal Article ; Comment
    ISSN 2589-7500
    ISSN (online) 2589-7500
    DOI 10.1016/S2589-7500(19)30156-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book: Coronary radiology

    Achenbach, Stephan / Oudkerk, Matthijs

    with 37 tables

    (Medical radiology : Diagnostic imaging)

    2009  

    Author's details M. Oudkerk ... (ed.). With contrib. by S. Achenbach
    Series title Medical radiology : Diagnostic imaging
    Keywords Coronary Disease / diagnosis ; Diagnostic Imaging / methods ; Koronare Herzkrankheit ; Radiologische Diagnostik
    Subject Diagnostische Radiologie ; Strahlendiagnostik ; Herzkranzgefäßleiden ; Koronararterie ; Herzkranzgefäßkrankheit ; Coronary artery disease
    Subject code 616.1230757
    Language English
    Size X, 354 S. : zahlr. Ill., graph. Darst., 28 cm
    Edition 2., rev. ed.
    Publisher Springer
    Publishing place Berlin u.a.
    Publishing country Germany
    Document type Book
    Note Literaturangaben
    HBZ-ID HT016012107
    ISBN 978-3-540-32983-1 ; 9783540329848 ; 3-540-32983-8 ; 3540329846
    Database Catalogue ZB MED Medicine, Health

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  9. Article ; Online: d-Dimer and COVID-19.

    Oudkerk, Matthijs / Büller, Harry R / Kuijpers, Dirkjan / Oudkerk, Sytse F / van Beek, Edwin J R

    Radiology

    2021  Volume 298, Issue 1, Page(s) E60

    Language English
    Publishing date 2021-02-08
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.2020209025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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