Published December 2009 | Version v1
Journal article

The reliability of automatic measurement of left ventricular function with dual-source computed tomography datasets

  • 1. University Medical Center Groningen, University of Groningen, Department of Radiology, Hanzeplein 1, P.O. Box 30.001, Groningen (Netherlands)
  • 2. University Medical Center Groningen, University of Groningen, Department of Cardiology, Groningen (Netherlands)
  • 3. University Medical Center Groningen, University of Groningen, Department of Epidemiology, Groningen (Netherlands)

Description

The purpose of the study was to assess the reliability of (semi-)automatic left ventricular (LV) function measurements using three different software packages on the same dual-source computed tomography (DSCT) datasets and to compare agreement among the software packages. Forty consecutive patients, undergoing cardiac DSCT were included (31 men, mean age 58 ± 14 years). LV function analysis was performed with all three software packages. ANOVA testing was used to determine the difference among the repeated measurements and the difference among the software packages. Bland-Altman plots were computed to describe the agreement among the software packages. No significant difference was found among the repeated measurements. In the comparison of the three software packages, a significant difference was observed when measurements were used with minimal user interaction. When end-diastolic and end-systolic phases were manually set, there was no overall significant difference, but in 12.5% of patients a large (>10%) difference in LVEF was found. All three software packages have good intraobserver variability, but the results of the three packages were significantly different. For clinical use, one should be aware of the clinical impact of possible segmentation flaws when (semi-)automatic LV function assessment is used. (orig.)

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00330-009-1506-3

Additional details

Identifiers

Publishing Information

Journal Title
European Radiology
Journal Volume
19
Journal Issue
12
Journal Page Range
p. 2919-2930
ISSN
0938-7994
CODEN
EURAE3

INIS

Country of Publication
Germany
Country of Input or Organization
Germany
INIS RN
41000086
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
AUTOMATION; COMPUTERIZED TOMOGRAPHY; RELIABILITY
Descriptors DEC
DIAGNOSTIC TECHNIQUES; TOMOGRAPHY