Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Heiko Peschl"'
Autor:
Jason L. Oke, Lyndsey C. Pickup, Jérôme Declerck, Matthew E. Callister, David Baldwin, Jennifer Gustafson, Heiko Peschl, Sarim Ather, Maria Tsakok, Alan Exell, Fergus Gleeson
Publikováno v:
Diagnostic and Prognostic Research, Vol 2, Iss 1, Pp 1-6 (2018)
Abstract Introduction Lung cancer is a common cancer, with over 1.3 million cases worldwide each year. Early diagnosis using computed tomography (CT) screening has been shown to reduce mortality but also detect non-malignant nodules that require foll
Externí odkaz:
https://doaj.org/article/67b0ff2d00d84b7aaff8785eeb6814d3
Autor:
Maria T. Tsakok, Robert A. Watson, Shyamal J. Saujani, Mark Kong, Cheng Xie, Heiko Peschl, Louise Wing, Fiona K. MacLeod, Brian Shine, Nicholas P. Talbot, Rachel E. Benamore, David W. Eyre, Fergus Gleeson
Publikováno v:
Radiology. 306:261-269
Background The SARS-Cov-2 Omicron variant demonstrates rapid spread but with reduced disease severity. Studies evaluating the lung imaging findings of Omicron infection versus non-Omicron variants remain lacking. Purpose To compare Omicron and Delta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43108cddc1bf239149df76eafe8181a0
https://doi.org/10.1148/radiol.220533
https://doi.org/10.1148/radiol.220533
Autor:
Andrew Kelion, Nikant Sabharwal, David Holdsworth, Sam Dawkins, Heiko Peschl, Anny Sykes, Yaver Bashir
Publikováno v:
Heart. 108:1461-1466
ObjectiveWhen reporting coronary CT angiography (CCTA), extracardiac structures are routinely assessed, usually on a wide field-of-view (FOV) reconstruction. We performed a retrospective observational cross-sectional study to investigate the impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbaff23480057c6da0008e8c2400bf96
https://doi.org/10.1136/heartjnl-2021-320698
https://doi.org/10.1136/heartjnl-2021-320698
Publikováno v:
Kompass Autoimmun. 3:43-46
Die Granulomatose mit Polyangiitis ist eine systemische nekrotisierende Vaskulitis, von der kleine bis mittlere Blutgefäße betroffen sind. Die Diagnosestellung kann dadurch erschwert werden, dass die klinischen und radiologischen Befunde Ähnlichke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29eb923eb38e77c100eaff56aa878061
https://doi.org/10.1159/000513913
https://doi.org/10.1159/000513913
Autor:
Fergus V. Gleeson, Jerome Declerck, Peter M. A. van Ooijen, Roman Rubtsov, Carlos Francisco Silva, Daiwei Han, Maria Tsakok, Carlos Arteta, Hans-Ulrich Kauczor, W. Hickes, Oyunbileg von Stackelberg, Claus Peter Heussel, L. Pickup, Heiko Peschl, P. Novotny, Timor Kadir, Mieneke Rook, Matthijs Oudkerk, Marjolein A Heuvelmans, Sarim Ather
Publikováno v:
Lung Cancer, 154, 1-4. ELSEVIER IRELAND LTD
INTRODUCTION: Deep Learning has been proposed as promising tool to classify malignant nodules. Our aim was to retrospectively validate our Lung Cancer Prediction Convolutional Neural Network (LCP-CNN), which was trained on US screening data, on an in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dd3fef276beb223d67b4c6c35c77ffc
https://pubmed.ncbi.nlm.nih.gov/33556604
https://pubmed.ncbi.nlm.nih.gov/33556604
Autor:
L. Wing, Cheng Xie, Robert Shaw, Heiko Peschl, Maria Tsakok, Rachel Benamore, M.R. Chetan, Fergus Gleeson, Fiona MacLeod, R.A. Watson
Publikováno v:
Clinical Radiology
AIM To determine the incidence of possible COVID-19-related lung changes on preoperative screening computed tomography (CT) for COVID-19 and how their findings influenced decision-making. To also to determine whether the patients were managed as COVI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49315bfd7bbfc82b452b616449c66eaa
Autor:
Heiko Peschl, Jerome Declerck, David R Baldwin, Matthew E.J. Callister, Maria Tsakok, Fergus V. Gleeson, Jennifer Gustafson, Sarim Ather, Jason Oke, Alan Exell, L. Pickup
Publikováno v:
Diagnostic and Prognostic Research, Vol 2, Iss 1, Pp 1-6 (2018)
Diagnostic and Prognostic Research
Diagnostic and Prognostic Research
IntroductionLung cancer is a common cancer, with over 1.3 million cases worldwide each year. Early diagnosis using computed tomography (CT) screening has been shown to reduce mortality but also detect non-malignant nodules that require follow-up scan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1e9f488dded59728d6f76a1ee9d8b2
http://link.springer.com/article/10.1186/s41512-018-0044-3
http://link.springer.com/article/10.1186/s41512-018-0044-3
Publikováno v:
European Heart Journal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f053f9f55660065df14aa24e0c2718a0
https://doi.org/10.1093/eurheartj/ehab237
https://doi.org/10.1093/eurheartj/ehab237
Autor:
Cheng Xie, Rachel Benamore, Fiona MacLeod, Heiko Peschl, Louise Wing, Fergus V. Gleeson, Samuel Channon-Wells, Maria Tsakok
Publikováno v:
BJR | case reports
During the COVID-19 pandemic, chest CT is frequently used to help with the diagnosis. The classic CT patterns of COVID-19 pneumonia are well-published and recognised among radiologists. However, when there are pre-existing conditions particularly in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d6ad14b03ce095548053d8de84331c5
https://doi.org/10.1259/bjrcr.20200067
https://doi.org/10.1259/bjrcr.20200067
Autor:
Heiko Peschl, Victoria StNoble, Cheng Xie, Catriona Stoddart, Anthony McIntyre, Rachel Benamore
Publikováno v:
BJR | case reports
Dynamic contrast-enhanced magnetic resonance lymphangiography is a radiation-free, high spatial resolution technique which is increasingly used to evaluate thoracic lymphatic disorders and for pre-procedural planning. DCE has the added advantage of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5343846fe1603f347bbefd37784771c8
https://doi.org/10.1259/bjrcr.20200026
https://doi.org/10.1259/bjrcr.20200026