M
Mathias Prokop
Researcher at Radboud University Nijmegen
Publications - 483
Citations - 29337
Mathias Prokop is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Angiography & Lung cancer screening. The author has an hindex of 78, co-authored 469 publications receiving 24147 citations. Previous affiliations of Mathias Prokop include Erasmus University Rotterdam & University of Groningen.
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Journal ArticleDOI
Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
Harry J. de Koning,Carlijn M. van der Aalst,Pim A. de Jong,Ernst Th. Scholten,Kristiaan Nackaerts,Marjolein A Heuvelmans,Jan-Willem J. Lammers,Carla Weenink,Uraujh Yousaf-Khan,Nanda Horeweg,Susan van 't Westeinde,Mathias Prokop,Willem P.Th.M. Mali,Firdaus A. A. Mohamed Hoesein,Peter M. A. van Ooijen,Joachim G.J.V. Aerts,Michael A. den Bakker,Erik Thunnissen,Johny Verschakelen,Rozemarijn Vliegenthart,Joan Walter,Kevin ten Haaf,Harry J.M. Groen,Matthijs Oudkerk +23 more
TL;DR: In this trial involving high-risk persons, lung-cancer mortality was significantly lower among those who underwent volume CT screening than among thoseWho underwent no screening.
Journal ArticleDOI
Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
Heber MacMahon,David P. Naidich,Jin Mo Goo,Kyung Soo Lee,Ann N. Leung,John R. Mayo,Atul C. Mehta,Yoshiharu Ohno,Charles A. Powell,Mathias Prokop,Geoffrey D. Rubin,Cornelia M. Schaefer-Prokop,William D. Travis,Paul Van Schil,Alexander A. Bankier +14 more
TL;DR: These guidelines represent the consensus of the Fleischner Society, and as such, they incorporate the opinions of a multidisciplinary international group of thoracic radiologists, pulmonologists, surgeons, pathologists, and other specialists.
Journal ArticleDOI
The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society
Geoffrey D. Rubin,Christopher J. Ryerson,Linda B. Haramati,Nicola Sverzellati,Jeffrey P. Kanne,Suhail Raoof,Neil W. Schluger,Annalisa Volpi,Jae-Joon Yim,Ian B.K. Martin,Deverick J. Anderson,Christina S. Kong,Talissa A. Altes,Andrew Bush,Sujal R. Desai,Jonathan G. Goldin,Jin Mo Goo,Marc Humbert,Yoshikazu Inoue,Hans-Ulrich Kauczor,Fengming Luo,Peter J. Mazzone,Mathias Prokop,Martine Remy-Jardin,Luca Richeldi,Cornelia M. Schaefer-Prokop,Noriyuki Tomiyama,Athol U. Wells,Ann N. Leung +28 more
TL;DR: A multidisciplinary panel comprised principally of radiologists and pulmonologists from 10 countries with experience managing COVID-19 patients across a spectrum of healthcare environments evaluated the utility of imaging within three scenarios representing varying risk factors, community conditions, and resource constraints, resulting in five main and three additional recommendations intended to guide medical practitioners in the use of CXR and CT in the management of COIDs.
Journal ArticleDOI
Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study.
W. Bob Meijboom,Matthijs F.L. Meijs,Joanne D. Schuijf,Maarten J Cramer,Nico R. Mollet,Carlos Van Mieghem,Koen Nieman,Jacob M. van Werkhoven,Jacob M. van Werkhoven,Gabija Pundziute,Gabija Pundziute,Annick C. Weustink,Alexander M. de Vos,Francesca Pugliese,Benno J. Rensing,J. Wouter Jukema,Jeroen J. Bax,Mathias Prokop,Pieter A. Doevendans,M. G. Myriam Hunink,Gabriel P. Krestin,Pim J. de Feyter +21 more
TL;DR: Among patients in whom a decision had already been made to obtain CCA, 64-slice CTCA was reliable for ruling out significant CAD in patients with stable and unstable anginal syndromes.
Journal ArticleDOI
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Arnaud Arindra Adiyoso Setio,Alberto Traverso,Thomas de Bel,Moira S.N. Berens,Cas van den Bogaard,Piergiorgio Cerello,Hao Chen,Qi Dou,Maria Evelina Fantacci,Bram Geurts,Robbert van der Gugten,Pheng-Ann Heng,Bart Jansen,Michael M.J. de Kaste,Valentin Kotov,Jack Yu-Hung Lin,Jeroen Manders,Alexander Sóñora-Mengana,Juan C. García-Naranjo,Evgenia Papavasileiou,Mathias Prokop,M. Saletta,Cornelia M. Schaefer-Prokop,Ernst T. Scholten,Luuk Scholten,Miranda M. Snoeren,Ernesto Lopez Torres,Jef Vandemeulebroucke,Nicole Walasek,Guido Zuidhof,Bram van Ginneken,Colin Jacobs +31 more
TL;DR: The LUNA16 challenge is described, an objective evaluation framework for automatic nodule detection algorithms using the largest publicly available reference database of chest CT scans, the LIDC‐IDRI data set, and the results so far are presented.