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  • Poster presentation
  • Open Access

Concordance analysis of left ventricular mass by transthoracic echocardiography versus 64-slice multidetector computed tomography

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Critical Care201115 (Suppl 1) :P30

  • Published:


  • Systematic Error
  • Cardiovascular Risk Factor
  • Prospective Cohort
  • Left Ventricular Mass
  • Transthoracic Echocardiography


Left ventricular mass (LVM) is considered an independent cardiovascular risk factor. Today we have new cardiac imaging methods for its calculation, which are incorporated into the already established classic. The aim of the study was to assess a comprehensive analysis of the correlation of LVM between two different diagnostic techniques, transthoracic echocardiography (TTE) and 64-slice multidetector computed tomography (MDCT).


A prospective cohort of 102 patients' LVM was quantified by TTE and MDCT in a row and blind study. We used the following test: intraclass correlation coefficient absolute agreement (ICCA) as a mixed model, concordance correlation coefficient of Lin (CCCL) to evaluate the accuracy, Passing-Bablock regression (PBR) to detect systematic errors and finally the range of Bland-Altman agreement.


There were 57 (55.8%) males, mean age 65 ± 13 years. ICCA was 0.67 (95% CI: 0.30 to 0.84), P < 0.001; the CCCL was 0.67. The PBR (Y = A + B * X) was: A = -29 (95% CI: -170 to 64), B = 0.70 (95% CI: 0.51 to 0.98). The range of agreement of Bland-Altman showed a mean of X (TTE) - Y (MDCT) = -37.8 (95% CI: -47 to 72) g, there were two cases below the lower limit.


Both methods show a level of consistency and acceptable accuracy, showing no systematic error constant rate (interval A contains 0) but there seems to be a discrete proportional error (interval B does not contain 1). As shown, the Bland-Altman range seems to slightly overestimate the TTE value against the MDCT, probably related to the quality of the echocardiography window.

Authors’ Affiliations

Hospital Universitario de Canarias, La Laguna, Spain


© Jimenez et al. 2011

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 (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.