Publications — Radcliffe Department of Medicine

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The Role of Coronary Blood Flow and Myocardial Edema in the Pathophysiology of Takotsubo Syndrome.

Couch LS. et al, (2024), JACC Cardiovasc Imaging

Misclassification of Females and Males in Cardiovascular Magnetic Resonance Parametric Mapping - The Importance of Sex-Specific Normal Ranges for Diagnosis of Health versus Disease.

Thomas KE. et al, (2023), Eur Heart J Cardiovasc Imaging

Imaging Methods: Magnetic Resonance Imaging

Thomas KE. et al, (2023), Circulation: Cardiovascular Imaging, 16

Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement.

Zhang Q. et al, (2022), Circulation, 146, 1492 - 1503

TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function

Gonzales RA. et al, (2022), European Heart Journal - Cardiovascular Imaging, 23

Nuclear imaging

Thomas K. and Sabharwal N., (2022), Medicine (United Kingdom), 50, 363 - 366

ASSOCIATIONS BETWEEN BONE AND VASCULAR HEALTH IN THE UK BIOBANK

Raisi-Estabragh Z. et al, (2021), OSTEOPOROSIS INTERNATIONAL, 32, S41 - S41

Loeys-Dietz syndrome in pregnancy.

Thomas KE. et al, (2021), Obstet Med, 14, 42 - 45

Poor Bone Quality is Associated With Greater Arterial Stiffness: Insights From the UK Biobank.

Raisi-Estabragh Z. et al, (2021), J Bone Miner Res, 36, 90 - 99

Pericoronary fat radiomic profile (FRP) predicts long-term cardiac risk in individuals with calcium score below 100 on coronary computed tomography angiography

Kotanidis CP. et al, (2020), EUROPEAN HEART JOURNAL, 41, 181 - 181

IMPROVED CARDIAC RISK STRATIFICATION IN INDIVIDUALS WITH HIGH RISK PLAQUE FEATURES USING THE PERIVASCULAR FAT ATTENUATION INDEX ON CCTA

Kotanidis CP. et al, (2020), HEART, 106, A1 - A2

PERIVASCULAR FAT ATTENUATION INDEX MAPPING AROUND THE RIGHT AND LEFT CORONARY ARTERY INDEPENDENTLY PREDICT CARDIAC MORTALITY

Kotanidis CP. et al, (2020), HEART, 106, A2 - A2

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

Oikonomou EK. et al, (2019), Eur Heart J, 40, 3529 - 3543

Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography

Oikonomou EK. et al, (2019), EUROPEAN HEART JOURNAL, 40, 1924 - 1924

Reference values for aortic distensibility derived from UK Biobank cardiovascular magnetic resonance (CMR) imaging cohort

Fung K. et al, (2019), EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, 20, 212 - 212

Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging

Hann E. et al, (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11765 LNCS, 750 - 758

Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data.

Oikonomou EK. et al, (2018), Lancet, 392, 929 - 939

Metabolically healthy obesity is associated with a distinct epicardial fat phenotype and low myocardial oxidative stress

Antonopoulos AS. et al, (2018), EUROPEAN HEART JOURNAL, 39, 6 - 6

Nuclear imaging

Thomas K. and Sabharwal N., (2018), Medicine (United Kingdom), 46, 470 - 473

Procedural and thirty-day outcomes following transfemoral implantation of the fully repositionable and retrievable Lotus valve without routine pre-dilatation in a consecutive patient cohort: a single-center experience.

Ruparelia N. et al, (2018), Cardiovasc Revasc Med, 19, 78 - 82

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