Improvement of Image Quality and Diagnostic Performance by an Innovative Motion-Correction Algorithm for Prospectively ECG Triggered Coronary CT Angiography
| Autor: | Yang Gao, Weihua Yin, Kun Liu, Ashley H. Parinella, Zhennan Li, Zhihui Hou, Hongbing Yan, Jonathon Leipsic, Chao-Wei Mu, Bin Lu, Zhiqiang Wang |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Image quality lcsh:Medicine Coronary Angiography Coronary artery disease Electrocardiography Motion Text mining medicine.artery Heart rate medicine Humans lcsh:Science Aged Multidisciplinary medicine.diagnostic_test business.industry lcsh:R Middle Aged medicine.disease Coronary arteries Stenosis medicine.anatomical_structure ROC Curve Right coronary artery Radiographic Image Interpretation Computer-Assisted Female lcsh:Q Tomography X-Ray Computed business Algorithm Algorithms Research Article |
| Zdroj: | PLoS ONE, Vol 10, Iss 11, p e0142796 (2015) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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