Assessing the accuracy of a deep learning method to risk stratify indeterminate pulmonary nodules
PP Massion, S Antic, S Ather, C Arteta… - American journal of …, 2020 - atsjournals.org
Rationale: The management of indeterminate pulmonary nodules (IPNs) remains
challenging, resulting in invasive procedures and delays in diagnosis and treatment …
challenging, resulting in invasive procedures and delays in diagnosis and treatment …
[HTML][HTML] Lung cancer prediction by Deep Learning to identify benign lung nodules
MA Heuvelmans, PMA van Ooijen, S Ather, CF Silva… - Lung cancer, 2021 - Elsevier
Abstract Introduction Deep Learning has been proposed as promising tool to classify
malignant nodules. Our aim was to retrospectively validate our Lung Cancer Prediction …
malignant nodules. Our aim was to retrospectively validate our Lung Cancer Prediction …
Reduction in chest CT severity and improved hospital outcomes in SARS-CoV-2 omicron compared with delta variant infection
MT Tsakok, RA Watson, SJ Saujani, M Kong, C Xie… - Radiology, 2023 - pubs.rsna.org
Background The SARS-Cov-2 Omicron variant demonstrates rapid spread but reduced
disease severity. Studies evaluating lung imaging findings of Omicron infection versus non …
disease severity. Studies evaluating lung imaging findings of Omicron infection versus non …
Chest CT and Hospital Outcomes in Patients with Omicron Compared with Delta Variant SARS-CoV-2 Infection.
MT Tsakok, RA Watson, SJ Saujani, M Kong… - …, 2022 - pesquisa.bvsalud.org
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 …
disease severity. Studies evaluating the lung imaging findings of Omicron infection versus …
COVID-19 vaccine induced prothrombotic immune thrombocytopenia
C Xie, L Vincent, A Chadwick… - European heart journal, 2021 - academic.oup.com
A 23-year-old patient without any risk factor of thromboembolic disease presented with chest
pain and breathlessness within 1 week of receiving the COVID-19 vaccine. The patient's CT …
pain and breathlessness within 1 week of receiving the COVID-19 vaccine. The patient's CT …
[HTML][HTML] Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocol
JL Oke, LC Pickup, J Declerck, ME Callister… - … and prognostic research, 2018 - Springer
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 …
year. Early diagnosis using computed tomography (CT) screening has been shown to …
COVID-19 pneumonia and the masquerades
C Xie, M Tsakok, S Channon-Wells… - BJR| case …, 2020 - academic.oup.com
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 …
classic CT patterns of COVID-19 pneumonia are well-published and recognised among …
A case series of thoracic dynamic contrast-enhanced MR lymphangiography: technique and applications
C Xie, C Stoddart, A McIntyre, V StNoble… - BJR| case …, 2020 - academic.oup.com
Dynamic contrast-enhanced magnetic resonance lymphangiography is a radiation-free, high
spatial resolution technique which is increasingly used to evaluate thoracic lymphatic …
spatial resolution technique which is increasingly used to evaluate thoracic lymphatic …
Clinical and economic impact of extracardiac lesions on coronary CT angiography
A Kelion, N Sabharwal, D Holdsworth, S Dawkins… - Heart, 2022 - heart.bmj.com
Objective When reporting coronary CT angiography (CCTA), extracardiac structures are
routinely assessed, usually on a wide field-of-view (FOV) reconstruction. We performed a …
routinely assessed, usually on a wide field-of-view (FOV) reconstruction. We performed a …
The utility of a convolutional neural network (CNN) model score for cancer risk in indeterminate small solid pulmonary nodules, compared to clinical practice according …
MT Tsakok, M Mashar, L Pickup, H Peschl… - European Journal of …, 2021 - Elsevier
Purpose To determine how implementation of an artificial intelligence nodule algorithm, the
Lung Cancer Prediction Convolutional Neural Network (LCP-CNN), at the point of incidental …
Lung Cancer Prediction Convolutional Neural Network (LCP-CNN), at the point of incidental …