Improvement of Image Quality and Diagnostic Performance by an Innovative Motion-Correction Algorithm for Prospectively ECG Triggered Coronary CT Angiography
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. Forty-six consecutive patients suspected of CAD prospectively un...
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| Published in | PloS one Vol. 10; no. 11; p. e0142796 |
|---|---|
| Main Authors | , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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United States
Public Library of Science
16.11.2015
Public Library of Science (PLoS) |
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| Abstract | 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.
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.
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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting ≥50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007].
The intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control. |
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| AbstractList | 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.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.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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting ≥50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007].The intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control. 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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting ≥50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007]. Conclusion The intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control. 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.OBJECTIVETo 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.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.MATERIALS AND METHODSForty-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.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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting ≥50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007].RESULTSAll 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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting ≥50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007].The intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control.CONCLUSIONThe intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control. 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. 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. 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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting [greater than or equal to]50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007]. The intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control. 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. 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. 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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting ≥50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007]. The intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control. 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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting [greater than or equal to]50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007]. Conclusion The intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control. 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<0.001). However, only the right coronary artery (RCA) showed a statistically significant difference (45 of 46, 97.8% vs 35 of 46, 76.1%; P = 0.004) on a per-vessel basis in this regard. Diagnostic accuracy for detecting ≥50% stenosis was improved using the motion-correction algorithm on per-vessel [96.2% (177/184) vs 87.0% (160/184); P = 0.002] and per-segment [96.1% (667/694) vs 86.6% (601/694); P <0.001] levels, but there was not a statistically significant improvement on a per-patient level [97.8 (45/46) vs 89.1 (41/46); P = 0.203]. By artery analysis, diagnostic accuracy was improved only for the RCA [97.8% (45/46) vs 78.3% (36/46); P = 0.007]. Conclusion The intracycle motion correction algorithm significantly improved image quality and diagnostic interpretability in patients undergoing CCTA with prospective ECG triggering and no rate control. |
| Audience | Academic |
| Author | Li, Zhen-Nan Liu, Kun Lu, Bin Hou, Zhi-Hui Leipsic, Jonathon A. Gao, Yang Yin, Wei-Hua Wang, Zhi-Qiang Yan, Hong-Bing Mu, Chao-Wei Parinella, Ashley H. |
| AuthorAffiliation | 1 Department of Radiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China 2 Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China 3 Department of Radiology, College of Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America 4 Department of Radiology and Division of Cardiology, University of British Columbia, Vancouver, BC, Canada University of Washington School of Medicine, UNITED STATES |
| AuthorAffiliation_xml | – name: 4 Department of Radiology and Division of Cardiology, University of British Columbia, Vancouver, BC, Canada – name: University of Washington School of Medicine, UNITED STATES – name: 1 Department of Radiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China – name: 2 Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China – name: 3 Department of Radiology, College of Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America |
| Author_xml | – sequence: 1 givenname: Zhen-Nan surname: Li fullname: Li, Zhen-Nan – sequence: 2 givenname: Wei-Hua surname: Yin fullname: Yin, Wei-Hua – sequence: 3 givenname: Bin surname: Lu fullname: Lu, Bin – sequence: 4 givenname: Hong-Bing surname: Yan fullname: Yan, Hong-Bing – sequence: 5 givenname: Chao-Wei surname: Mu fullname: Mu, Chao-Wei – sequence: 6 givenname: Yang surname: Gao fullname: Gao, Yang – sequence: 7 givenname: Zhi-Hui surname: Hou fullname: Hou, Zhi-Hui – sequence: 8 givenname: Zhi-Qiang surname: Wang fullname: Wang, Zhi-Qiang – sequence: 9 givenname: Kun surname: Liu fullname: Liu, Kun – sequence: 10 givenname: Ashley H. surname: Parinella fullname: Parinella, Ashley H. – sequence: 11 givenname: Jonathon A. surname: Leipsic fullname: Leipsic, Jonathon A. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26571417$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.acra.2014.07.016 10.1007/s11604-014-0382-1 10.1016/j.jacc.2009.11.013 10.1016/j.jacc.2010.08.634 10.1016/j.ejrad.2014.08.002 10.1016/j.ejrad.2010.02.011 10.1007/s10554-014-0499-4 10.1148/radiol.2451061791 10.1016/j.amjcard.2010.12.038 10.1016/j.jcct.2014.07.003 10.1093/ehjci/jev033 10.1016/j.jcct.2013.05.005 10.1016/j.clinimag.2014.11.020 10.1016/j.jcmg.2013.08.008 10.1016/j.jacc.2009.04.027 10.1097/00004728-200003000-00012 10.1097/00004424-200105000-00002 10.1016/j.jcct.2011.11.006 10.1016/j.jacc.2008.07.031 10.1016/j.jcct.2012.04.004 10.1016/j.acra.2012.01.009 10.1016/j.acra.2013.10.014 |
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| Copyright | COPYRIGHT 2015 Public Library of Science 2015 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2015 Li et al 2015 Li et al |
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| DOI | 10.1371/journal.pone.0142796 |
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| DocumentTitleAlternate | Improvement of Image Quality by Snap-Short Freeze |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: ZNL WHY BL HBY CWM YG ZHH ZQW KL JAL AHP. Performed the experiments: ZNL WHY BL HBY CWM YG ZHH ZQW KL. Analyzed the data: ZNL WHY YG AHP. Contributed reagents/materials/analysis tools: ZNL WHY BL HBY CWM YG ZHH ZQW KL. Wrote the paper: AHP. Competing Interests: The authors have declared that no competing interests exist. |
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| References | P Carrascosa (ref11) 2015; 22 J Leipsic (ref8) 2012; 6 S Achenbach (ref7) 2012; 6 D Andreini (ref15) 2015; 16 MB Srichai (ref16) 2012; 19 I Cho (ref14) 2015; 39 Q Li (ref12) 2014; 83 JK Min (ref22) 2013; 7 H Machida (ref13) 2015; 33 B Lu (ref18) 2011; 107 MJ Budoff (ref2) 2008; 52 A Hassan (ref3) 2011; 79 S Mao (ref21) 2000; 24 DB Mark (ref1) 2010; 55 G Pontone (ref4) 2009; 54 J Leipsic (ref6) 2014; 8 TA Fuchs (ref9) 2014; 21 WH Yin (ref5) 2013; 6 H Lee (ref10) 2014; 30 RR Buechel (ref17) 2011; 57 B Lu (ref20) 2001; 36 L Husmann (ref19) 2007; 245 25504320 - Jpn J Radiol. 2015 Feb;33(2):84-93 25762564 - Eur Heart J Cardiovasc Imaging. 2015 Oct;16(10):1093-100 20513611 - J Am Coll Cardiol. 2010 Jun 8;55(23):2663-99 25301040 - J Cardiovasc Comput Tomogr. 2014 Sep-Oct;8(5):342-58 11323512 - Invest Radiol. 2001 May;36(5):250-6 19608033 - J Am Coll Cardiol. 2009 Jul 21;54(4):346-55 24269265 - JACC Cardiovasc Imaging. 2013 Dec;6(12):1239-49 22366557 - Acad Radiol. 2012 May;19(5):554-61 24332603 - Acad Radiol. 2014 Mar;21(3):312-7 17848683 - Radiology. 2007 Nov;245(2):567-76 21232672 - J Am Coll Cardiol. 2011 Jan 18;57(3):332-6 23849493 - J Cardiovasc Comput Tomogr. 2013 May-Jun;7(3):200-6 25038955 - Int J Cardiovasc Imaging. 2014 Dec;30(8):1603-12 25281361 - Acad Radiol. 2015 Jan;22(1):81-6 22551593 - J Cardiovasc Comput Tomogr. 2012 May-Jun;6(3):164-71 22381662 - J Cardiovasc Comput Tomogr. 2012 Mar-Apr;6(2):91-8 25193780 - Eur J Radiol. 2014 Nov;83(11):2024-32 25649255 - Clin Imaging. 2015 May-Jun;39(3):421-6 19007693 - J Am Coll Cardiol. 2008 Nov 18;52(21):1724-32 20227210 - Eur J Radiol. 2011 Aug;79(2):161-71 21497209 - Am J Cardiol. 2011 May 1;107(9):1278-84 10752887 - J Comput Assist Tomogr. 2000 Mar-Apr;24(2):253-8 |
| References_xml | – volume: 22 start-page: 81 year: 2015 ident: ref11 article-title: Effect of intracycle motion correction algorithm on image quality and diagnostic performance of computed tomography coronary angiography in patients with suspected coronary artery disease publication-title: Acad Radiol doi: 10.1016/j.acra.2014.07.016 – volume: 33 start-page: 84 year: 2015 ident: ref13 article-title: Influence of the motion correction algorithm on the quality and interpretability of images of single-source 64-detector coronary CT angiography among patients grouped by heart rate publication-title: Jpn J Radiol doi: 10.1007/s11604-014-0382-1 – volume: 55 start-page: 2663 year: 2010 ident: ref1 article-title: ACCF/ACR/AHA/NASCI/SAIP/SCAI/SCCT 2010 expert consensus document oncoronary computed tomographic angiography: a report of the AmericanCollege of Cardiology Foundation Task Force on Expert ConsensusDocuments publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2009.11.013 – volume: 57 start-page: 332 year: 2011 ident: ref17 article-title: Low-dose computed tomography coronary angiography with prospective electrocardiogram triggering: feasibility in a large population publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2010.08.634 – volume: 83 start-page: 2024 year: 2014 ident: ref12 article-title: Effect of a novel motion correction algorithm (SSF) on the image quality of coronary CTA with intermediate heart rates: segment-based and vessel-based analyses publication-title: Eur J Radiol doi: 10.1016/j.ejrad.2014.08.002 – volume: 79 start-page: 161 year: 2011 ident: ref3 article-title: Technical challenges of coronary CT angiography: today and tomorrow publication-title: Eur J Radiol doi: 10.1016/j.ejrad.2010.02.011 – volume: 30 start-page: 1603 year: 2014 ident: ref10 article-title: Impact of a vendor-specific motion-correction algorithm on image quality, interpretability, and diagnostic performance of daily routine coronary CT angiography: influence of heart rate on the effect of motion-correction publication-title: Int J Cardiovasc Imaging doi: 10.1007/s10554-014-0499-4 – volume: 245 start-page: 567 year: 2007 ident: ref19 article-title: Coronary artery motion and cardiac phases: dependency on heart rate—implications for CT image reconstruction publication-title: Radiology doi: 10.1148/radiol.2451061791 – volume: 107 start-page: 1278 year: 2011 ident: ref18 article-title: Comparison of diagnostic accuracy and radiation dose between prospective triggering and retrospective gated coronary angiography by dual-sourcecomputed tomography publication-title: Am J Cardiol doi: 10.1016/j.amjcard.2010.12.038 – volume: 8 start-page: 342 year: 2014 ident: ref6 article-title: SCCT guidelines for the interpretation and reporting of coronary CTangiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee publication-title: J Cardiovasc Comput Tomogr doi: 10.1016/j.jcct.2014.07.003 – volume: 16 start-page: 1093 year: 2015 ident: ref15 article-title: Low-dose CT coronary angiography with a novel IntraCycle motion-correction algorithm in patients with high heart rate or heart rate variability publication-title: Eur Heart J Cardiovasc Imaging doi: 10.1093/ehjci/jev033 – volume: 7 start-page: 200 year: 2013 ident: ref22 article-title: Rationale and design of the ViCTORY (Validation of an Intracycle CT Motion CORrection Algorithm for Diagnostic AccuracY) trial publication-title: J Cardiovasc Comput Tomogr doi: 10.1016/j.jcct.2013.05.005 – volume: 39 start-page: 421 year: 2015 ident: ref14 article-title: Heart-rate dependent improvement in image quality and diagnostic accuracy of coronary computed tomographic angiography by novel intracycle motion correction algorithm publication-title: Clin Imaging doi: 10.1016/j.clinimag.2014.11.020 – volume: 6 start-page: 1239 year: 2013 ident: ref5 article-title: Iterative reconstruction to preserve image quality and diagnostic accuracy atreduced radiation dose in coronary CT angiography: an intraindividual comparison publication-title: JACC Cardiovasc Imaging doi: 10.1016/j.jcmg.2013.08.008 – volume: 54 start-page: 346 year: 2009 ident: ref4 article-title: Diagnostic accuracy of coronary computed tomography angiography: a comparison between prospective and retrospective electrocardiogram triggering publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2009.04.027 – volume: 24 start-page: 253 year: 2000 ident: ref21 article-title: Coronary artery motion in electron beam tomography publication-title: J Comput Assist Tomogr doi: 10.1097/00004728-200003000-00012 – volume: 36 start-page: 250 year: 2001 ident: ref20 article-title: Coronary artery motion during the cardiac cycle and optimal ECG triggering for coronary artery imaging publication-title: Invest Radiol doi: 10.1097/00004424-200105000-00002 – volume: 6 start-page: 91 year: 2012 ident: ref7 article-title: Influence of heart rate and phase of the cardiac cycle on the occurrence of motion artifact in dual-source CT angiography of the coronary arteries publication-title: J Cardiovasc Comput Tomogr doi: 10.1016/j.jcct.2011.11.006 – volume: 52 start-page: 1724 year: 2008 ident: ref2 article-title: Diagnostic performance of 64-multidetector row coronary computedtomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary ComputedTomographic Angiography of Individuals Undergoing Invasive CoronaryAngiography) trial publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2008.07.031 – volume: 6 start-page: 164 year: 2012 ident: ref8 article-title: Effect of a novel vendor-specific motion-correction algorithm on image quality and diagnostic accuracy in persons undergoing coronary CT angiography without rate-control medications publication-title: J Cardiovasc Comput Tomogr doi: 10.1016/j.jcct.2012.04.004 – volume: 19 start-page: 554 year: 2012 ident: ref16 article-title: Low-dose, prospective triggered high-pitch spiral coronary computed tomography angiography: comparison with retrospective spiral technique publication-title: Acad Radiol doi: 10.1016/j.acra.2012.01.009 – volume: 21 start-page: 312 year: 2014 ident: ref9 article-title: Impact of a new motion-correction algorithm on image quality of low-dose coronary CT angiography in patients with insufficient heart rate control publication-title: Acad Radiol doi: 10.1016/j.acra.2013.10.014 – reference: 25038955 - Int J Cardiovasc Imaging. 2014 Dec;30(8):1603-12 – reference: 25281361 - Acad Radiol. 2015 Jan;22(1):81-6 – reference: 22551593 - J Cardiovasc Comput Tomogr. 2012 May-Jun;6(3):164-71 – reference: 17848683 - Radiology. 2007 Nov;245(2):567-76 – reference: 20513611 - J Am Coll Cardiol. 2010 Jun 8;55(23):2663-99 – reference: 22381662 - J Cardiovasc Comput Tomogr. 2012 Mar-Apr;6(2):91-8 – reference: 19608033 - J Am Coll Cardiol. 2009 Jul 21;54(4):346-55 – reference: 21497209 - Am J Cardiol. 2011 May 1;107(9):1278-84 – reference: 20227210 - Eur J Radiol. 2011 Aug;79(2):161-71 – reference: 24269265 - JACC Cardiovasc Imaging. 2013 Dec;6(12):1239-49 – reference: 24332603 - Acad Radiol. 2014 Mar;21(3):312-7 – reference: 25762564 - Eur Heart J Cardiovasc Imaging. 2015 Oct;16(10):1093-100 – reference: 10752887 - J Comput Assist Tomogr. 2000 Mar-Apr;24(2):253-8 – reference: 22366557 - Acad Radiol. 2012 May;19(5):554-61 – reference: 11323512 - Invest Radiol. 2001 May;36(5):250-6 – reference: 19007693 - J Am Coll Cardiol. 2008 Nov 18;52(21):1724-32 – reference: 21232672 - J Am Coll Cardiol. 2011 Jan 18;57(3):332-6 – reference: 25504320 - Jpn J Radiol. 2015 Feb;33(2):84-93 – reference: 25649255 - Clin Imaging. 2015 May-Jun;39(3):421-6 – reference: 25193780 - Eur J Radiol. 2014 Nov;83(11):2024-32 – reference: 23849493 - J Cardiovasc Comput Tomogr. 2013 May-Jun;7(3):200-6 – reference: 25301040 - J Cardiovasc Comput Tomogr. 2014 Sep-Oct;8(5):342-58 |
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| Snippet | To investigate the effect of a novel motion-correction algorithm (Snap-short Freeze, SSF) on image quality and diagnostic accuracy in patients undergoing... Objective To investigate the effect of a novel motion-correction algorithm (Snap-short Freeze, SSF) on image quality and diagnostic accuracy in patients... Objective To investigate the effect of a novel motion-correction algorithm (Snap-short Freeze, SSF) on image quality and diagnostic accuracy in patients... |
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| SubjectTerms | Adult Aged Algorithms Angiography Cardiovascular disease CAT scans Comparative analysis Computed tomography Coronary Angiography Coronary artery Diagnostic systems Echocardiography EKG Electrocardiography Female Health aspects Heart rate Humans Image quality Male Medical diagnosis Medical imaging Middle Aged Motion Patients Radiographic Image Interpretation, Computer-Assisted Reconstruction ROC Curve Statistical analysis Statistical significance Stenosis Tomography Tomography, X-Ray Computed |
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| Title | Improvement of Image Quality and Diagnostic Performance by an Innovative Motion-Correction Algorithm for Prospectively ECG Triggered Coronary CT Angiography |
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