Improvement of Image Quality and Diagnostic Performance by an Innovative Motion-Correction Algorithm for Prospectively ECG Triggered Coronary CT Angiography

Zhen-Nan Li, Wei-Hua Yin, Bin Lu, Hong-Bing Yan, Chao-Wei Mu, Yang Gao, Zhi-Hui Hou, Zhi-Qiang Wang, Kun Liu, Ashley H Parinella and Jonathon A Leipsic

PLOS ONE, 2015, vol. 10, issue 11, 1-14

Abstract: Objective: To investigate the effect of a novel motion-correction algorithm (Snap-short Freeze, SSF) on image quality and diagnostic accuracy in patients undergoing prospectively ECG-triggered CCTA without administering rate-lowering medications. Materials and Methods: Forty-six consecutive patients suspected of CAD prospectively underwent CCTA using prospective ECG-triggering without rate control and invasive coronary angiography (ICA). Image quality, interpretability, and diagnostic performance of SSF were compared with conventional multisegment reconstruction without SSF, using ICA as the reference standard. Results: All subjects (35 men, 57.6 ± 8.9 years) successfully underwent ICA and CCTA. Mean heart rate was 68.8±8.4 (range: 50–88 beats/min) beats/min without rate controlling medications during CT scanning. Overall median image quality score (graded 1–4) was significantly increased from 3.0 to 4.0 by the new algorithm in comparison to conventional reconstruction. Overall interpretability was significantly improved, with a significant reduction in the number of non-diagnostic segments (690 of 694, 99.4% vs 659 of 694, 94.9%; P

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0142796

DOI: 10.1371/journal.pone.0142796

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