| Application: | 2964, Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound |
| Title: | Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort |
| Size: | 6.1 MB |
| Archived: | 13 Jun 2018 |
| Stability: | Complete |
| Personal: | Contains individual-level data |
Return 1363
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Notes
Contact for queries: n.aung@qmul.ac.uk or s.e.petersen@qmul.ac.ukReference ranges for cardiac volumes, mass and function are key for reporting clinical heart MRI scans to know what is normal and what is abnormal. Based on ~800 MRI studies in healthy UK Biobank participants, we determined such normal reference ranges for the left and right main chambers and pre-chambers.
This returned dataset contains CMR data on ~800 participants that were considered very healthy as a sub-cohort of the first ~5000 participants who attended the imaging enhancement visit (see also return 2541). The analysis was using the long axis and short axis CMR cine images
Application 2964
Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound
Imaging of the heart and blood vessels is performed in a large subset of the UK Biobank cohort. Many measures defining the state of the heart and blood vessels can be derived from the images acquired. These measures are influenced by various health conditions and modifiable and non-modifiable factors, such as age, gender and ethnicity. The aim of this proposal is to describe the measures of the heart and blood vessel in the UK Biobank population and investigate how much modifiable and non-modifiable factors influence them. All new data will be made available for future research. Knowing the reference ranges for common imaging measures of the heart and circulation and how they are influenced by factors, such as age, gender, ethnicity, risk factors for heart attacks and strokes, is key for improving making diagnoses and predicting health outcomes. Descriptive statistics will be performed for all image derived phenotypes (IDPs) from the cardiovascular magnetic resonance (CMR) and carotid ultrasound images. We will perform subgroup analysis for important clinical factors, such as age, gender, cardiovascular risk, chronic conditions (e.g. Diabetes). We will apply descriptive statistics to a subpopulation considered `healthy without cardiovascular disease or presence of modifiable risk factors`. Univariate and multivariate regression analysis will be used to assess relationships between IDPs and relevant co-variates. We will also assess intra- and inter-observer variability for IDP measurement when repeat analysis is available. Initial 5000 subjects from the imaging enhancement study.
| Lead investigator: | Professor Steffen Petersen |
| Lead institution: | Queen Mary University of London |
17 related Returns
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 2158 | 2964 | 3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation | 7 Apr 2020 |
| 2843 | 2964 | Association Between Recreational Cannabis Use and Cardiac Structure and Function | 23 Nov 2020 |
| 2103 | 2964 | Automated Quality-Controlled Cardiovascular Magnetic Resonance Pericardial Fat Quantification Using a Convolutional Neural Network in the UK Biobank | 10 Nov 2022 |
| 1866 | 2964 | Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data | 15 Jan 2020 |
| 1971 | 2964 | Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data | 6 Feb 2020 |
| 3245 | 2964 | Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data | 18 Mar 2021 |
| 1864 | 2964 | Cardiac radiomics data returned by application 2964 | 15 Jan 2020 |
| 1889 | 2964 | Fully Automated Myocardial Strain Estimation from Cardiovascular MRI-tagged Images Using a Deep Learning Framework in the UK Biobank | 17 Jan 2020 |
| 1883 | 2964 | Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results | 16 Jan 2020 |
| 2855 | 2964 | Genome-wide association study identifes loci for arterial stifness index in 127,121 UK Biobank participants | 24 Nov 2020 |
| 3561 | 2964 | Independent left ventricular morphometric atlases show consistent relationships with cardiovascular risk factors: a UK biobank study | 21 Jun 2021 |
| 3628 | 2964 | Physical activity and left ventricular trabeculation in the UK Biobank community-based cohort study | 7 Jul 2021 |
| 3635 | 2964 | Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort | 9 Jul 2021 |
| 2536 | 2964 | Right ventricular shape and function: cardiovascular magnetic resonance reference | 23 Oct 2020 |
| 2842 | 2964 | Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank | 23 Nov 2020 |
| 2541 | 2964 | The impact of cardiovascular risk factors on cardiac structure and function: Insights from the UK Biobank imaging enhancement study | 26 Oct 2020 |
| 2364 | 2964 | The impact of menopausal hormone therapy (MHT) on cardiac structure and function | 25 Aug 2020 |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 1364 | Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort | Steffen E. Petersen (+14) | 2016 | Journal of Cardiovascular Magnetic Resonance |
Enabling scientific discoveries that improve human health