Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Caroline McCann"'
Autor:
Matthew Shaw, Thomas Simon FitzMaurice, Paul Stephen McNamara, Dilip Nazareth, Caroline McCann, Martin Walshaw, Scott Hawkes
Publikováno v:
BMJ Open Respiratory Research, Vol 10, Iss 1 (2023)
Introduction Dynamic chest radiography (DCR) is a novel, low-dose, real-time digital imaging system where software identifies moving thoracic structures and can automatically calculate lung areas. In an observational, prospective, non-controlled, sin
Externí odkaz:
https://doaj.org/article/3d403e9e70e049b59a5771dc14e3ae05
Autor:
Joshua Bridge, Yanda Meng, Wenyue Zhu, Thomas Fitzmaurice, Caroline McCann, Cliff Addison, Manhui Wang, Cristin Merritt, Stu Franks, Maria Mackey, Steve Messenger, Renrong Sun, Yitian Zhao, Yalin Zheng
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundThe automatic analysis of medical images has the potential improve diagnostic accuracy while reducing the strain on clinicians. Current methods analyzing 3D-like imaging data, such as computerized tomography imaging, often treat each image
Externí odkaz:
https://doaj.org/article/73cdd74c75f3404b808bddc410afae31
Publikováno v:
ERJ Open Research, Vol 8, Iss 1 (2022)
Objectives Dynamic chest radiography (DCR) is a novel real-time digital fluoroscopic imaging system that produces clear, wide field-of-view diagnostic images of the thorax and diaphragm in motion, alongside novel metrics on moving structures within t
Externí odkaz:
https://doaj.org/article/126b4d3204ff4610975e5cabe8d3f965
Autor:
Matthew Shaw, Thomas Simon FitzMaurice, Paul Stephen McNamara, Dilip Nazareth, Caroline McCann, Ram Bedi, Martin Walshaw
Publikováno v:
BMJ Open Respiratory Research, Vol 7, Iss 1 (2020)
Introduction Dynamic chest radiography (DCR) uses novel, low-dose radiographic technology to capture images of the thoracic cavity while in motion. Pulmonary function testing is important in cystic fibrosis (CF). The tolerability, rapid acquisition a
Externí odkaz:
https://doaj.org/article/bf426699cda6446ea580882209e8b62f
Autor:
Giordano Rafael Tronco Alves, Natália Henz Concatto, Deborah Harrington, Caroline McCann, Bruno Hochhegger, Klaus Irion
Publikováno v:
Journal of Cardio-Thoracic Medicine, Vol 3, Iss 1, Pp 281-283 (2015)
Brachial Plexus Injury (BPI) is an uncommon complication of median sternotomy capable of causing a permanent or transitory sensitivity and/or motor function impairment in the upper limbs. During a cardiac surgery through sternotomy, for the assessmen
Externí odkaz:
https://doaj.org/article/4a7a385ededf458199339cf808202eab
Autor:
Thomas S, FitzMaurice, Caroline, McCann, Dilip, Nazareth, Matthew, Shaw, Paul S, McNamara, Martin J, Walshaw
Publikováno v:
Journal of Cystic Fibrosis. 21:1036-1041
The CFTR modulator elexacaftor/tezacaftor/ivacaftor (ELX/TEZ/IVA) leads to significant improvement in the symptoms and spirometry of people with cystic fibrosis (pwCF), but little evidence exists to understand its effect on respiratory pump function.
Autor:
Thomas Simon FitzMaurice, Caroline McCann, Dilip Nazareth, Scott Hawkes, Matthew Shaw, Paul Stephen McNamara, Martin Walshaw
Publikováno v:
BMJ Open Respiratory Research. 10:e001309
IntroductionDynamic chest radiography (DCR) is a novel, low-dose, real-time digital imaging system where software identifies moving thoracic structures and can automatically calculate lung areas. In an observational, prospective, non-controlled, sing
Autor:
Thomas Simon FitzMaurice, Caroline McCann, Dilip S. Nazareth, Paul S. McNamara, Martin J. Walshaw
Publikováno v:
Radiology. 303(3)
Background Although spirometry is an important marker in the management of pulmonary exacerbations in cystic fibrosis (CF), it is a forced maneuver and can generate aerosol. Therefore, it may be difficult to perform in some individuals. Dynamic chest
Autor:
Joshua Bridge, Yanda Meng, Wenyue Zhu, Thomas Fitzmaurice, Caroline McCann, Cliff Addison, Manhui Wang, Cristin Merritt, Stu Franks, Maria Mackey, Steve Messenger, Renrong Sun, Yitian Zhao, Yalin Zheng
ObjectivesTo develop and externally geographically validate a mixed-effects deep learning model to diagnose COVID-19 from computed tomography (CT) imaging following best practice guidelines and assess the strengths and weaknesses of deep learning COV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d066e75723b08b42e3b354f0bfa992
https://doi.org/10.1101/2022.01.28.22270005
https://doi.org/10.1101/2022.01.28.22270005
Autor:
Yanda Meng, Joshua Bridge, Cliff Addison, Manhui Wang, Cristin Merritt, Stu Franks, Maria Mackey, Steve Messenger, Renrong Sun, Thomas Fitzmaurice, Caroline McCann, Qiang Li, Yitian Zhao, Yalin Zheng
Publikováno v:
Medical Image Analysis. 84:102722
Coronavirus disease (COVID-19) has caused a worldwide pandemic, putting millions of people's health and lives in jeopardy. Detecting infected patients early on chest computed tomography (CT) is critical in combating COVID-19. Harnessing uncertainty-a