| Application: | 2964, Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound |
| Title: | Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results |
| Size: | 3.4 GB |
| Archived: | 16 Jan 2020 |
| Stability: | Updateable |
| Personal: | Contains individual-level data |
Return 1883
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Notes
Contact for queries: Alistair.young@kcl.ac.uk or s.e.petersen@qmul.ac.ukAn evaluation of the initial UK Biobank 5,000 cases to compare manual analysis with automated analysis produced by SIEMENS Syngo InlineVF version D13A and E11C.
UK Biobank, a large cohort study, plans to acquire 100,000 cardiac MRI studies by 2020. Although fully-automated left ventricular (LV) analysis was performed in the original acquisition, this was not designed for unsupervised incorporation into epidemiological studies. This project is sought to evaluate automated LV mass and volume (Siemens syngo InlineVF versions D13A and E11C), against manual analysis in a substantial sub-cohort of UK Biobank participants.
Automated InlineVF analysis provided by the UK Biobank CMR imaging data can be used for case-control studies with requirements that visual assessment for quality control and linear adjustment of bias are performed. This study shows that 178 out of 4775 cases (3.7%) could be identified as grossly misplaced InlineVF contours by rapid visual assessment. This study also provided corrections for bias to improve accuracy of cardiac volumes and functions.
The dataset contains:
- A spreadsheet of cardiac volumes and mass comparing the manual analysis, InlineVF version E11C and InlineVF version D13A.
- Contour files and cardiac functions extracted from InlineVF version E11C. These contours are not available from the original UK Biobank data set, because E11C is the new release of SIEMENS InlineVF software.
- Statistical analyses as a guideline to provide quality control and linear adjustment of bias to correct new data acquisition to match with manual analysis.
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 |
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1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 1884 | Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results | Avan Suinesiaputra (+17) | 2017 | The International Journal of Cardiovascular Imaging |
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