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Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers.

Authors :
Saba, Luca
Molinari, Filippo
Meiburger, Kristen M.
Acharya, U. Rajendra
Nicolaides, Andrew
Suri, Jasjit S.
Source :
Computers in Biology & Medicine. 2013, Vol. 43 Issue 9, p1261-1272. 12p.
Publication Year :
2013

Abstract

The purpose of this study was to evaluate the measurement error and inter- and intra-observer variability of completely off-line automated and semi-automated carotid intima-media thickness (cIMT) measurement software (AtheroEdge™). Two hundred carotid ultrasound images from 50 asymptomatic women were analyzed. AtheroEdge™ was benchmarked against a commercial system (Syngo, Siemens) using automated and semi-automated modes. The measurement error and inter- and intra-observer variability of AtheroEdge™ were tested using three readings. The measurement error of AtheroEdge™ compared to the commercial software was 0.002 ± 0.019 mm (r=0.99) in the automated mode and -0.001 ± 0.004 mm in the semi-automated mode (r=0.99). The measurement error of AtheroEdge™ compared to the mean value of the three expert Readers (cIMT bias) for the automated and semi-automated methods was -0.0004 ± 0.158 mm and -0.008 ± 0.157 mm, respectively. The Figure-of-Merit was 99.8% and 99.9% when compared to the commercial ultrasound scanner (using the automated and semi-automated method, respectively) and was 99.9% and 98.9% when compared to the mean value of the three expert Readers. Regarding inter- and intra-observer variability, the intra-class correlation coefficient of the three independent users using the semi-automated AtheroEdge™ was 0.98. AtheroEdge™ showed a measurement performance comparable to the commercial ultrasound scanner software and the expert Readers' tracings. AtheroEdge™ belongs to a class of automated systems that could find application in processing large datasets for common carotid arteries, avoiding subjectivity in cIMT measurements. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00104825
Volume :
43
Issue :
9
Database :
Academic Search Index
Journal :
Computers in Biology & Medicine
Publication Type :
Academic Journal
Accession number :
90265216
Full Text :
https://doi.org/10.1016/j.compbiomed.2013.06.012