Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results

Avan Suinesiaputra; Mihir M. Sanghvi; Nay Aung; Jose Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M. Lee; Valentina Carapella; Young Jin Kim; Jane Francis; Stefan K. Piechnik; Stefan Neubauer; Andreas Greiser; Marie Pierre Jolly; Carmel Hayes; Alistair A. Young; Steffen E. Petersen

doi:10.1007/s10554-017-1225-9

Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results

Avan Suinesiaputra, Mihir M. Sanghvi, Nay Aung, Jose Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Jane Francis, Stefan K. Piechnik, Stefan Neubauer, Andreas Greiser, Marie Pierre Jolly, Carmel Hayes, Alistair A. Young, Steffen E. Petersen

Department of Radiology

Research output: Contribution to journal › Article › peer-review

38 Citations (Scopus)

Abstract

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. We 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. Eight readers from two centers, trained to give consistent results, manually analyzed 4874 UK Biobank cases for LV end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF) and LV mass (LVM). Agreement between manual and InlineVF automated analyses were evaluated using Bland–Altman analysis and the intra-class correlation coefficient (ICC). Tenfold cross-validation was used to establish a linear regression calibration between manual and InlineVF results. InlineVF D13A returned results in 4423 cases, whereas InlineVF E11C returned results in 4775 cases and also reported LVM. Rapid visual assessment of the E11C results found 178 cases (3.7%) with grossly misplaced contours or landmarks. In the remaining 4597 cases, LV function showed good agreement: ESV −6.4 ± 9.0 ml, 0.853 (mean ± SD of the differences, ICC) EDV −3.0 ± 11.6 ml, 0.937; SV 3.4 ± 9.8 ml, 0.855; and EF 3.5 ± 5.1%, 0.586. Although LV mass was consistently overestimated (29.9 ± 17.0 g, 0.534) due to larger epicardial contours on all slices, linear regression could be used to correct the bias and improve accuracy. Automated InlineVF results can be used for case-control studies in UK Biobank, provided visual quality control and linear bias correction are performed. Improvements between InlineVF D13A and InlineVF E11C show the field is rapidly advancing, with further improvements expected in the near future.

Original language	English
Pages (from-to)	281-291
Number of pages	11
Journal	International Journal of Cardiovascular Imaging
Volume	34
Issue number	2
DOIs	https://doi.org/10.1007/s10554-017-1225-9
Publication status	Published - 2018 Feb 1

Bibliographical note

Funding Information:
UK Biobank Resource under application 2964. Funding was provided by British Heart Foundation (PG/14/89/31194), and by the National Institutes of Health (USA) 1R01HL121754. SN, SKP acknowledge the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at The Oxford University Hospitals Trust at the University of Oxford, and the British Heart Foundation Centre of Research Excellence. Aaron Lee and Steffen Petersen acknowledge support from the NIHR Biomedical Research Centre at Barts Health NHS Trust and from the “SmartHeart” EPSRC programme grant (EP/ P001009/1).

Funding Information:
This research has been conducted using the UK Biobank Resource under application 2964. Funding was provided by British Heart Foundation (PG/14/89/31194), and by the National Institutes of Health (USA) 1R01HL121754. SN, SKP acknowledge the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at The Oxford University Hospitals Trust at the University of Oxford, and the British Heart Foundation Centre of Research Excellence. Aaron Lee and Steffen Petersen acknowledge support from the NIHR Biomedical Research Centre at Barts Health NHS Trust and from the ?SmartHeart??EPSRC programme grant (EP/P001009/1). Availability of data and material: The data will be made available on request from the UK Biobank within six months of publication. AAY reports receiving consulting fees from Siemens Healthcare. AG, MPJ, CH are employees of Siemens Healthcare. SEP reports receiving consulting fees from Circle Cardiovascular Imaging, Inc., Calgary, Canada.

Publisher Copyright:
© 2017, The Author(s).

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging
Cardiology and Cardiovascular Medicine

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10.1007/s10554-017-1225-9

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Suinesiaputra, A., Sanghvi, M. M., Aung, N., Paiva, J. M., Zemrak, F., Fung, K., Lukaschuk, E., Lee, A. M., Carapella, V., Kim, Y. J., Francis, J., Piechnik, S. K., Neubauer, S., Greiser, A., Jolly, M. P., Hayes, C., Young, A. A., & Petersen, S. E. (2018). Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. International Journal of Cardiovascular Imaging, 34(2), 281-291. https://doi.org/10.1007/s10554-017-1225-9

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title = "Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results",

abstract = "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. We 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. Eight readers from two centers, trained to give consistent results, manually analyzed 4874 UK Biobank cases for LV end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF) and LV mass (LVM). Agreement between manual and InlineVF automated analyses were evaluated using Bland–Altman analysis and the intra-class correlation coefficient (ICC). Tenfold cross-validation was used to establish a linear regression calibration between manual and InlineVF results. InlineVF D13A returned results in 4423 cases, whereas InlineVF E11C returned results in 4775 cases and also reported LVM. Rapid visual assessment of the E11C results found 178 cases (3.7%) with grossly misplaced contours or landmarks. In the remaining 4597 cases, LV function showed good agreement: ESV −6.4 ± 9.0 ml, 0.853 (mean ± SD of the differences, ICC) EDV −3.0 ± 11.6 ml, 0.937; SV 3.4 ± 9.8 ml, 0.855; and EF 3.5 ± 5.1%, 0.586. Although LV mass was consistently overestimated (29.9 ± 17.0 g, 0.534) due to larger epicardial contours on all slices, linear regression could be used to correct the bias and improve accuracy. Automated InlineVF results can be used for case-control studies in UK Biobank, provided visual quality control and linear bias correction are performed. Improvements between InlineVF D13A and InlineVF E11C show the field is rapidly advancing, with further improvements expected in the near future.",

author = "Avan Suinesiaputra and Sanghvi, {Mihir M.} and Nay Aung and Paiva, {Jose Miguel} and Filip Zemrak and Kenneth Fung and Elena Lukaschuk and Lee, {Aaron M.} and Valentina Carapella and Kim, {Young Jin} and Jane Francis and Piechnik, {Stefan K.} and Stefan Neubauer and Andreas Greiser and Jolly, {Marie Pierre} and Carmel Hayes and Young, {Alistair A.} and Petersen, {Steffen E.}",

note = "Funding Information: UK Biobank Resource under application 2964. Funding was provided by British Heart Foundation (PG/14/89/31194), and by the National Institutes of Health (USA) 1R01HL121754. SN, SKP acknowledge the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at The Oxford University Hospitals Trust at the University of Oxford, and the British Heart Foundation Centre of Research Excellence. Aaron Lee and Steffen Petersen acknowledge support from the NIHR Biomedical Research Centre at Barts Health NHS Trust and from the “SmartHeart” EPSRC programme grant (EP/ P001009/1). Funding Information: This research has been conducted using the UK Biobank Resource under application 2964. Funding was provided by British Heart Foundation (PG/14/89/31194), and by the National Institutes of Health (USA) 1R01HL121754. SN, SKP acknowledge the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at The Oxford University Hospitals Trust at the University of Oxford, and the British Heart Foundation Centre of Research Excellence. Aaron Lee and Steffen Petersen acknowledge support from the NIHR Biomedical Research Centre at Barts Health NHS Trust and from the ?SmartHeart??EPSRC programme grant (EP/P001009/1). Availability of data and material: The data will be made available on request from the UK Biobank within six months of publication. AAY reports receiving consulting fees from Siemens Healthcare. AG, MPJ, CH are employees of Siemens Healthcare. SEP reports receiving consulting fees from Circle Cardiovascular Imaging, Inc., Calgary, Canada. Publisher Copyright: {\textcopyright} 2017, The Author(s).",

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doi = "10.1007/s10554-017-1225-9",

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Suinesiaputra, A, Sanghvi, MM, Aung, N, Paiva, JM, Zemrak, F, Fung, K, Lukaschuk, E, Lee, AM, Carapella, V, Kim, YJ, Francis, J, Piechnik, SK, Neubauer, S, Greiser, A, Jolly, MP, Hayes, C, Young, AA & Petersen, SE 2018, 'Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results', International Journal of Cardiovascular Imaging, vol. 34, no. 2, pp. 281-291. https://doi.org/10.1007/s10554-017-1225-9

TY - JOUR

T1 - Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort

T2 - evaluation of initial results

AU - Suinesiaputra, Avan

AU - Sanghvi, Mihir M.

AU - Aung, Nay

AU - Paiva, Jose Miguel

AU - Zemrak, Filip

AU - Fung, Kenneth

AU - Lukaschuk, Elena

AU - Lee, Aaron M.

AU - Carapella, Valentina

AU - Kim, Young Jin

AU - Francis, Jane

AU - Piechnik, Stefan K.

AU - Neubauer, Stefan

AU - Greiser, Andreas

AU - Jolly, Marie Pierre

AU - Hayes, Carmel

AU - Young, Alistair A.

AU - Petersen, Steffen E.

N1 - Funding Information: UK Biobank Resource under application 2964. Funding was provided by British Heart Foundation (PG/14/89/31194), and by the National Institutes of Health (USA) 1R01HL121754. SN, SKP acknowledge the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at The Oxford University Hospitals Trust at the University of Oxford, and the British Heart Foundation Centre of Research Excellence. Aaron Lee and Steffen Petersen acknowledge support from the NIHR Biomedical Research Centre at Barts Health NHS Trust and from the “SmartHeart” EPSRC programme grant (EP/ P001009/1). Funding Information: This research has been conducted using the UK Biobank Resource under application 2964. Funding was provided by British Heart Foundation (PG/14/89/31194), and by the National Institutes of Health (USA) 1R01HL121754. SN, SKP acknowledge the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at The Oxford University Hospitals Trust at the University of Oxford, and the British Heart Foundation Centre of Research Excellence. Aaron Lee and Steffen Petersen acknowledge support from the NIHR Biomedical Research Centre at Barts Health NHS Trust and from the ?SmartHeart??EPSRC programme grant (EP/P001009/1). Availability of data and material: The data will be made available on request from the UK Biobank within six months of publication. AAY reports receiving consulting fees from Siemens Healthcare. AG, MPJ, CH are employees of Siemens Healthcare. SEP reports receiving consulting fees from Circle Cardiovascular Imaging, Inc., Calgary, Canada. Publisher Copyright: © 2017, The Author(s).

PY - 2018/2/1

Y1 - 2018/2/1

N2 - 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. We 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. Eight readers from two centers, trained to give consistent results, manually analyzed 4874 UK Biobank cases for LV end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF) and LV mass (LVM). Agreement between manual and InlineVF automated analyses were evaluated using Bland–Altman analysis and the intra-class correlation coefficient (ICC). Tenfold cross-validation was used to establish a linear regression calibration between manual and InlineVF results. InlineVF D13A returned results in 4423 cases, whereas InlineVF E11C returned results in 4775 cases and also reported LVM. Rapid visual assessment of the E11C results found 178 cases (3.7%) with grossly misplaced contours or landmarks. In the remaining 4597 cases, LV function showed good agreement: ESV −6.4 ± 9.0 ml, 0.853 (mean ± SD of the differences, ICC) EDV −3.0 ± 11.6 ml, 0.937; SV 3.4 ± 9.8 ml, 0.855; and EF 3.5 ± 5.1%, 0.586. Although LV mass was consistently overestimated (29.9 ± 17.0 g, 0.534) due to larger epicardial contours on all slices, linear regression could be used to correct the bias and improve accuracy. Automated InlineVF results can be used for case-control studies in UK Biobank, provided visual quality control and linear bias correction are performed. Improvements between InlineVF D13A and InlineVF E11C show the field is rapidly advancing, with further improvements expected in the near future.

AB - 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. We 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. Eight readers from two centers, trained to give consistent results, manually analyzed 4874 UK Biobank cases for LV end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF) and LV mass (LVM). Agreement between manual and InlineVF automated analyses were evaluated using Bland–Altman analysis and the intra-class correlation coefficient (ICC). Tenfold cross-validation was used to establish a linear regression calibration between manual and InlineVF results. InlineVF D13A returned results in 4423 cases, whereas InlineVF E11C returned results in 4775 cases and also reported LVM. Rapid visual assessment of the E11C results found 178 cases (3.7%) with grossly misplaced contours or landmarks. In the remaining 4597 cases, LV function showed good agreement: ESV −6.4 ± 9.0 ml, 0.853 (mean ± SD of the differences, ICC) EDV −3.0 ± 11.6 ml, 0.937; SV 3.4 ± 9.8 ml, 0.855; and EF 3.5 ± 5.1%, 0.586. Although LV mass was consistently overestimated (29.9 ± 17.0 g, 0.534) due to larger epicardial contours on all slices, linear regression could be used to correct the bias and improve accuracy. Automated InlineVF results can be used for case-control studies in UK Biobank, provided visual quality control and linear bias correction are performed. Improvements between InlineVF D13A and InlineVF E11C show the field is rapidly advancing, with further improvements expected in the near future.

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Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results

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