| Title: | Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results |
| Journal: | Int J Cardiovasc Imaging |
| Published: | 1 Feb 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/28836039/ |
| DOI: | https://doi.org/10.1007/s10554-017-1225-9 |
Publication 1884
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Abstract
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.
1 Author
- Suinesiaputra A et al.
1 Application
| Application ID | Title |
|---|---|
| 2964 | Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound |
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