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Interobserver variations of plaque severity score and segment stenosis score in coronary arteries using 64 slice multidetector computed tomography: A substudy of the ACCURACY trial

Sandeep R. Pagali, MDa, Paul Madaj, MDa, Mohit Gupta, MDa, Subu Nair, MDa, Yasmin S. Hamirani, MDa, James K. Min, MDb, Faye Lin, MDb, Matthew J. Budoff, MDaCorresponding Author Informationemail address

Received 1 January 2010; accepted 29 May 2010. published online 07 June 2010.
Corrected Proof

Background

Assessing the severity of coronary plaque for the risk stratification and management of coronary artery disease is important. Multidetector computed tomography has been shown to be a useful tool to measure coronary plaque; however, interreader variability is a concern.

Objective

We measured interobserver variations of plaque severity score (PSS) and segment stenosis score (SSS) as measured by the total plaque severity score (TPS) and total segment stenosis score (TSS).

Methods

Cardiac CT scans (n = 221) of the ACCURACY trial were interpreted by 3 different readers blinded to patient characteristics. PSS (mild, 1; moderate, 2; and severe, 3) and SSS (stenosis 1%–29%, 1; 30%–49%, 2; 50%–69%, 3; and ≥70%, 4) were calculated with the 15-segment American Heart Association model. TPS and TSS were determined by summing the segments for each interpreter. TPS and TSS were compared for correlation and variation among any 2 of the 3 readers.

Results

A highly significant correlation was observed among any 2 of the 3 readers for both TPS and TSS. For TPS, the r = 0.91, 0.93, 0.94 (P < 0.001) for A vs B, B vs C, A vs C, respectively, and for TSS, r = 0.91, 0.92, 0.93 (P < 0.001) for A vs B, B vs C, A vs C, respectively. On Bland Altman plot, the mean difference between the scores of any 2 readers was 3.33 ± 3.93, 1.65 ± 2.88, and 1.68 ± 2.92 for TPS and 4.19 ± 4.73, 2.54 ± 4.02, and 1.65 ± 3.18 for TSS.

Conclusion

Semiquantitative measures of coronary plaque burden, including the TPS and TSS, can be determined with a high degree of interobserver agreement, suggesting their potential role as tools to aid in the assessment of coronary heart disease.

a Los Angeles Biomedical Research Institute, Harbor-UCLA, 1124 West Carson Street, Torrance, CA 90502, USA

b Weill Cornell Medical College, New York, NY, USA

Corresponding Author InformationCorresponding author.

 Conflict of interest: The authors report no conflicts of interest.

 Supplementary material for this article may be found at http://www.CardiacCTjournal.com.

PII: S1934-5925(10)00356-4

doi:10.1016/j.jcct.2010.05.018