4.3 Article

Reproducibility of Automated Noncalcified Coronary Artery Plaque Burden Assessment at Coronary CT Angiography

Journal

JOURNAL OF THORACIC IMAGING
Volume 24, Issue 2, Pages 96-102

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/RTI.0b013e31819b674b

Keywords

atherosclerosis; coronary artery; plaque; plaque imaging; volumetric imaging; computed tomography

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Purpose: To evaluate the accuracy and effect on interreader reproducibility of automated versus manual volumetric quantification of noncalcified coronary artery plaque burden at coronary computed tomography angiography. Materials and Methods: Thirty-seven patients underwent 64-slice coronary computed tomography angiography. Two experienced observers in consensus evaluated each study and identified 40 noncalcified coronary artery plaques. Also in consensus, they performed manual, 3-dimensional planimetric measurements on each plaque as the reference standard. The same 2 observers then performed volumetric measurements on each plaque using a threshold-based automated volumetry automated plaque analysis algorithm. Two different, less experienced observers also performed both, manual and automated measurements of each plaque, first independently and then in consensus. Spearman rank correlation was used to determine association between variables. Results: Automated volumetry was successfully performed on each plaque. There was excellent (R = 0.920) correlation between the expert manual measurements (average plaque burden = 33.58 min(3) +/- 18.16) and automated plaque volumetry (35.64 mm(3) +/- 16.42). For the less experienced observers, there was better correlation with expert manual measurements using automated plaque volumetry (R = 0.885) than with manual measurements (R = 0.854). Interreader correlation for volume measurements by the 2 less experienced observers without and with use of the automated plaque analysis algorithm significantly (P < 0.001) increased from R = 0.781 to R = 0.919. Conclusions: Compared with expert manual measurements, automated plaque volumetry enables accurate quantification of noncalcified plaque burden. Reproducibility of plaque measurements between different observers is improved. Use of such automated plaque analysis algorithms should facilitate fast, objective and reproducible assessment of noncalcified plaque burden for risk stratification and therapeutic monitoring.

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