Volume 14 Supplement 1

Abstracts of the 15th Annual SCMR Scientific Sessions: 2012

Open Access

Inter- and intra-study reproducibility of LV volume analysis performed by technologists

  • Chris Lawton1,
  • Cornelius Imobeke1,
  • Elisa McAlindon1,
  • Jessica Harris1 and
  • Chiara Bucciarelli-Ducci1
Journal of Cardiovascular Magnetic Resonance201214(Suppl 1):T11

DOI: 10.1186/1532-429X-14-S1-T11

Published: 1 February 2012


Cardiac magnetic resonance (CMR) imaging studies are increasingly being carried out in patients with cardiovascular disease. In a high throughput centre (>1,200 scans per year) technologists can potentially provide significant help in assisting with LV volumes analysis but the inter- and intra-observer variability of this task has not been reported.


Two CMR technologists with no previous experience in analysing LV volumes assessed 20 CMR studies in ischemic heart disease patients. 10 studies were re-analysed 24 hours after the first analysis.

Volumes and mass were analysed using semi-automated software (Argus, Siemens) following a 2hr tutorial on how to use the software.


Intra-observer variability was assessed using intraclass correlation coefficient (ICC); inter-observer variability was assessed using Bland Altman plots for agreement. Intra-observer variability was low for both observers (ICC; observer 1 EDV: 0.99, ESV: 0.93, mass: 0.94 vs observer 2 EDV: 0.97, ESV: 0.97, mass: 0.94). Inter-observer variability was lowest for volumes and highest for mass (Table 1).
Table 1

Inter-observer variability



EDV (ml)

ESV* (ml)

mass (g)

1 vs 2

Mean (SD) difference

2.4 (6.1)

0.3 (0.2)

5.1 (11.3)

1 vs 2

Mean (SD)

163.4 (30.3)

4.4 (0.4)

147.8 (27.0)

1 vs 2

Coefficient of variation (%)




Summary statistics calculated are mean and SD of differences, mean and SD of values. Differences between observers are assessed using Bland-Altman plots. *log-transformed for skewed distribution.


Technologists with no previous experience in analysising LV parameters can analyse LV volumes after a short tutorial on a semi-automated software with good reproducibility, and a low inter- observer variability.


NIHR Cardiovascular BRU, Bristol Heart Institute.

Authors’ Affiliations

Bristol Heart Institute, NIHR Cardiovascular BRU


© Lawton et al; licensee BioMed Central Ltd. 2012

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.