Zobrazeno 1 - 10
of 151
pro vyhledávání: '"M. Mets"'
Autor:
Inge A. H. van den Berk, Colin Jacobs, Maadrika M. N. P. Kanglie, Onno M. Mets, Miranda Snoeren, Alexander D. Montauban van Swijndregt, Elisabeth M. Taal, Tjitske S. R. van Engelen, Jan M. Prins, Shandra Bipat, Patrick M. M. Bossuyt, Jaap Stoker, The OPTIMACT study group
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract Background To retrospectively assess the added value of an artificial intelligence (AI) algorithm for detecting pulmonary nodules on ultra-low-dose computed tomography (ULDCT) performed at the emergency department (ED). Methods In the OPTIMA
Externí odkaz:
https://doaj.org/article/4dbb2233eaf04797843d026bbbde3491
Autor:
Michael W T Tanck, Onno M Mets, Erik Thunnissen, Jouke T Annema, Peter I Bonta, Inge A H van den Berk, Margherita Vaselli, Kirsten Kalverda-Mooij, Johannes F de Boer
Publikováno v:
BMJ Open Respiratory Research, Vol 10, Iss 1 (2023)
Introduction Endobronchial polarisation sensitive optical coherence tomography (EB-PS-OCT) is a bronchoscopic imaging technique exceeding resolution of high-resolution CT (HRCT) by 50-fold. It detects collagen birefringence, enabling identification a
Externí odkaz:
https://doaj.org/article/5cd12ee71d6c4ff7923b1b0b0b041585
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
European Respiratory Review, Vol 27, Iss 150 (2018)
It is well known that lung cancer can manifest itself in imaging as solid and subsolid nodules or masses. However, in this era of increased computed tomography use another morphological computed tomography appearance of lung cancer is increasingly be
Externí odkaz:
https://doaj.org/article/9c64beac0ac54a239d5a5ad710b0eb3c
Autor:
Lisa H. van Smoorenburg, Peter I. Bonta, Maarten van den Berge, Onno M. Mets, Daniel M. de Bruin, Pieta Wijsman, Jouke T. Annema, Huib A. M. Kerstjens, Janette K. Burgess
Publikováno v:
Current Opinion in Physiology, 22:100444. Elsevier
The pulmonary extracellular matrix (ECM) plays an important role in the structure and function of the lung. In many respiratory diseases the profile of the ECM reflects pathological changes. The capacity to visualize the ECM and its alterations is of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5938be4e79c12747ff0ed82cea02d40e
https://doi.org/10.1016/j.cophys.2021.05.007
https://doi.org/10.1016/j.cophys.2021.05.007
Autor:
Onno M Mets, Suzan M Roothaan, Inez Bronsveld, Bart Luijk, Ed A van de Graaf, Aryan Vink, Pim A de Jong
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0128062 (2015)
Lung disease in cystic fibrosis (CF) involves excessive inflammation, repetitive infections and development of bronchiectasis. Recently, literature on emphysema in CF has emerged, which might become an increasingly important disease component due to
Externí odkaz:
https://doaj.org/article/421df3eb8f5843aca6ee7bdf32c4bb9b
Autor:
John Yee, S. Atkar-Khattra, Danielle Byrne, Stephen Lam, Ana-Maria Bilawich, Onno M. Mets, Renelle Myers, John R Mayo, John C. English
Publikováno v:
Journal of thoracic imaging. Lippincott Williams and Wilkins
Purpose Primary lung cancers associated with cystic airspaces are increasingly being recognized; however, there is a paucity of data on their natural history. We aimed to evaluate the prevalence, pathologic, and imaging characteristics of cystic lung
Publikováno v:
Lung Cancer, 156, pp. 5-11
Lung cancer (Amsterdam, Netherlands), 156, 5-11. Elsevier Ireland Ltd
Lung Cancer, 156, 5-11
Lung cancer (Amsterdam, Netherlands), 156, 5-11. Elsevier Ireland Ltd
Lung Cancer, 156, 5-11
Purpose To microsimulate the effects of three additional annual CT screening rounds on lung cancer (LC) survival in the National Lung Screening Trial (NLST). Methods We used multiple imputation to model the effect of additional screening in the full
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd70820a7c66033fd06ad94e65c1d66f
https://repository.ubn.ru.nl/handle/2066/233968
https://repository.ubn.ru.nl/handle/2066/233968
Autor:
Anton Schreuder, Kaman Chung, Onno M. Mets, Ernst T. Scholten, Colin Jacobs, Cornelia M. Schaefer-Prokop, Firdaus A. A. Mohamed Hoesein, Mathias Prokop
Publikováno v:
Cancers, 13(11):2812. Multidisciplinary Digital Publishing Institute (MDPI)
Cancers
Volume 13
Issue 11
Cancers, 13
Cancers, Vol 13, Iss 2812, p 2812 (2021)
Cancers, 13, 11
Cancers
Volume 13
Issue 11
Cancers, 13
Cancers, Vol 13, Iss 2812, p 2812 (2021)
Cancers, 13, 11
Simple Summary The risk assessment of pulmonary nodules on chest computed tomography (CT) is key to the early detection of lung cancer. Whereas a nodule’s morphological characteristics are strong predictors of malignancy for that individual nodule,
Autor:
Ralf Sprengers, Sarah J. van Riel, Ernst T. Scholten, Bram van Ginneken, Cornelia M. Schaefer-Prokop, Colin Jacobs, Anton Schreuder, Rianne Wittenberg, Onno M. Mets, Bartjan de Hoop, Mathias Prokop, Bram Geurts, Mathilde M. W. Wille
Publikováno v:
Radiology: Imaging Cancer, 3(5):e200160. Radiological Society of North America Inc.
Radiology: Imaging Cancer, 3
Radiol Imaging Cancer
Jacobs, C, Schreuder, A, van Riel, S J, Scholten, E T, Wittenberg, R, Wille, M M W, de Hoop, B, Sprengers, R, Mets, O M, Geurts, B, Prokop, M, Schaefer-Prokop, C & van Ginneken, B 2021, ' Assisted versus manual interpretation of low-dose CT scans for lung cancer screening : Impact on lung-RADS agreement ', Radiology: Imaging Cancer, vol. 3, no. 5, e200160 . https://doi.org/10.1148/rycan.2021200160
Radiology: Imaging Cancer, 3, 5
Radiology: Imaging Cancer, 3
Radiol Imaging Cancer
Jacobs, C, Schreuder, A, van Riel, S J, Scholten, E T, Wittenberg, R, Wille, M M W, de Hoop, B, Sprengers, R, Mets, O M, Geurts, B, Prokop, M, Schaefer-Prokop, C & van Ginneken, B 2021, ' Assisted versus manual interpretation of low-dose CT scans for lung cancer screening : Impact on lung-RADS agreement ', Radiology: Imaging Cancer, vol. 3, no. 5, e200160 . https://doi.org/10.1148/rycan.2021200160
Radiology: Imaging Cancer, 3, 5
An observer study with seven radiologists showed that using a dedicated CT lung screening viewer (with computer-aided detection, a segmentation algorithm, and automatic Lung Imaging Reporting and Data System [Lung-RADS] categorization) improved inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78f197ea07a3c10fa7a97b3960423bb3
https://publica.fraunhofer.de/handle/publica/415913
https://publica.fraunhofer.de/handle/publica/415913