Notes
Contact for queries: a.lee@qmul.ac.uk or s.e.petersen@qmul.ac.uk
This returned dataset contains CMR data on the first ~5000 participants who attended the imaging enhancement visit. The analysis was using the long axis and short axis CMR cine images
Returned data contains:
1) Image derived phenotypes (IDPs):
- Left atrial two-chamber volume (max)
- Left atrial two-chamber volume (min)
- Left atrial four-chamber volume (max)
- Left atrial four-chamber volume (min)
- Left atrial biplanar volume (max)
- Left atrial biplaner volume (min)
- Left Ventricular end diastolic volume
- Left Ventricular ejection fraction
- Left Ventricular end systolic volume
- Left Ventricular mass
- Left Ventricular stroke volume
- Right atrial four-chamber volume (max)
- Right atrial four-chamber volume (min)
- Right Ventricular end diastolic volume
- Right Ventricular ejection fraction
- Right Ventricular end systolic volume
- Right Ventricular stroke volume
2) Quality control scores related to the left ventricle (LV), right ventricle (RV), left atrium (LA) and right atrium (RA)
3) Segmentation/contour files that can be used together with the corresponding CMR DICOM images that UK Biobank hold. These are in the CVI42 proprietary format ( cvi42wsx) and converted to json format files.
4) Output files from each participants analysis of the LV/RV/LA/RA using CVI42. They are scientific reports (txt files) and contain far more information than what is often used in research and clinical practice;
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 |