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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
Purpose We retrospectively investigated the effect of the motion correction algorithm (MCA) on image quality and interpretability by heart rate (HR) in coronary CT angiography (CCTA). Materials and methods For 105 patients (6 HR groups) undergoing CCTA, 2 readers independently graded the image quali...
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Published in: | Japanese journal of radiology 2015-02, Vol.33 (2), p.84-93 |
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container_start_page | 84 |
container_title | Japanese journal of radiology |
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creator | Machida, Haruhiko Lin, Xiao-Zhu Fukui, Rika Shen, Yun Suzuki, Shigeru Tanaka, Isao Ishikawa, Takuya Tate, Etsuko Ueno, Eiko |
description | Purpose
We retrospectively investigated the effect of the motion correction algorithm (MCA) on image quality and interpretability by heart rate (HR) in coronary CT angiography (CCTA).
Materials and methods
For 105 patients (6 HR groups) undergoing CCTA, 2 readers independently graded the image quality of the 4 major coronary arteries reconstructed with and without MCA at diastole with HR ≤64 bpm and at systole and diastole ≥65 bpm using a 5-point scale. For each HR group and cardiac phase, we compared per-vessel and per-segment image quality using Wilcoxon signed rank test and percentages of interpretable image quality (scores 3–5) among without MCA at diastole with HR ≤64 bpm, as a reference, with MCA at diastole ≤69 bpm and at systole 70–79 bpm using the chi-square test.
Results
The motion correction algorithm reconstruction provided similar or better image quality and interpretability in all groups, with 96–100 % per-vessel (
P
= 0.008 for the right coronary artery; otherwise,
P
> 0.05) and 99 % per-segment interpretable image quality (
P
= 0.0002) at diastole with HR ≤69 bpm and at systole 70–79 bpm compared to the reference (88–100 and 97 %, respectively).
Conclusion
MCA reconstruction preserved image quality and interpretability of CCTA with HR ≤79 bpm. |
doi_str_mv | 10.1007/s11604-014-0382-1 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1657315310</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3593999301</sourcerecordid><originalsourceid>FETCH-LOGICAL-c495t-79271b08523e5365ab74bf8f62c3321025ef706209aa2ff0ceec13e586feeaf3</originalsourceid><addsrcrecordid>eNp1kctu3CAUhq2qUXNpH6CbCqmbbNxwMdizrEZNEylSN7PoDmHm4CGywQG8mPfqA_Y4k0ZVpS4QB_j4uPxV9ZHRL4zS9iYzpmhTU4ZNdLxmb6oL1qm2ZrT7-fa1btl5dZnzI6WqEU3zrjrnUtJGcHpR_boPblwgWCDRkXIAMsXiYyA2pgT2uTTjEJMvh4ngYEWeFjP6ciQm7IkPBdKcoJjeP0-ixk9mgLxW2YdhhDrHJeEJqqn3UNAa0-qPwaQj2e7QM_g4JDMf0DnFMJDZFA-hZDKkuMywJ_2RHMCkQpIp8L46c2bM8OGlv6p2t99227v64cf3--3Xh9o2G1nqdsNb1tNOcgFSKGn6tuld5xS3QnBGuQTXUsXpxhjuHLUAliHaKQdgnLiqrk_aOcWnBXLRk88WxtEEiEvWTMlWMCkYRfTzP-gjPjng5VZKKryKEEixE2VTzDmB03PCv0pHzaheE9WnRDUmqtdENcM9n17MSz_B_nXHnwgR4Ccg41IYIP119H-tvwFoeq8N</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1655679233</pqid></control><display><type>article</type><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</title><source>Springer Link</source><creator>Machida, Haruhiko ; Lin, Xiao-Zhu ; Fukui, Rika ; Shen, Yun ; Suzuki, Shigeru ; Tanaka, Isao ; Ishikawa, Takuya ; Tate, Etsuko ; Ueno, Eiko</creator><creatorcontrib>Machida, Haruhiko ; Lin, Xiao-Zhu ; Fukui, Rika ; Shen, Yun ; Suzuki, Shigeru ; Tanaka, Isao ; Ishikawa, Takuya ; Tate, Etsuko ; Ueno, Eiko</creatorcontrib><description>Purpose
We retrospectively investigated the effect of the motion correction algorithm (MCA) on image quality and interpretability by heart rate (HR) in coronary CT angiography (CCTA).
Materials and methods
For 105 patients (6 HR groups) undergoing CCTA, 2 readers independently graded the image quality of the 4 major coronary arteries reconstructed with and without MCA at diastole with HR ≤64 bpm and at systole and diastole ≥65 bpm using a 5-point scale. For each HR group and cardiac phase, we compared per-vessel and per-segment image quality using Wilcoxon signed rank test and percentages of interpretable image quality (scores 3–5) among without MCA at diastole with HR ≤64 bpm, as a reference, with MCA at diastole ≤69 bpm and at systole 70–79 bpm using the chi-square test.
Results
The motion correction algorithm reconstruction provided similar or better image quality and interpretability in all groups, with 96–100 % per-vessel (
P
= 0.008 for the right coronary artery; otherwise,
P
> 0.05) and 99 % per-segment interpretable image quality (
P
= 0.0002) at diastole with HR ≤69 bpm and at systole 70–79 bpm compared to the reference (88–100 and 97 %, respectively).
Conclusion
MCA reconstruction preserved image quality and interpretability of CCTA with HR ≤79 bpm.</description><identifier>ISSN: 1867-1071</identifier><identifier>EISSN: 1867-108X</identifier><identifier>DOI: 10.1007/s11604-014-0382-1</identifier><identifier>PMID: 25504320</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Coronary Angiography - methods ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - physiopathology ; Female ; Heart Rate - physiology ; Humans ; Imaging ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Motion ; Nuclear Medicine ; Observer Variation ; Original Article ; Radiographic Image Interpretation, Computer-Assisted - methods ; Radiology ; Radiotherapy ; Retrospective Studies ; Tomography, X-Ray Computed - methods ; Young Adult</subject><ispartof>Japanese journal of radiology, 2015-02, Vol.33 (2), p.84-93</ispartof><rights>Japan Radiological Society 2014</rights><rights>Japan Radiological Society 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-79271b08523e5365ab74bf8f62c3321025ef706209aa2ff0ceec13e586feeaf3</citedby><cites>FETCH-LOGICAL-c495t-79271b08523e5365ab74bf8f62c3321025ef706209aa2ff0ceec13e586feeaf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27898,27899</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25504320$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Machida, Haruhiko</creatorcontrib><creatorcontrib>Lin, Xiao-Zhu</creatorcontrib><creatorcontrib>Fukui, Rika</creatorcontrib><creatorcontrib>Shen, Yun</creatorcontrib><creatorcontrib>Suzuki, Shigeru</creatorcontrib><creatorcontrib>Tanaka, Isao</creatorcontrib><creatorcontrib>Ishikawa, Takuya</creatorcontrib><creatorcontrib>Tate, Etsuko</creatorcontrib><creatorcontrib>Ueno, Eiko</creatorcontrib><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</title><title>Japanese journal of radiology</title><addtitle>Jpn J Radiol</addtitle><addtitle>Jpn J Radiol</addtitle><description>Purpose
We retrospectively investigated the effect of the motion correction algorithm (MCA) on image quality and interpretability by heart rate (HR) in coronary CT angiography (CCTA).
Materials and methods
For 105 patients (6 HR groups) undergoing CCTA, 2 readers independently graded the image quality of the 4 major coronary arteries reconstructed with and without MCA at diastole with HR ≤64 bpm and at systole and diastole ≥65 bpm using a 5-point scale. For each HR group and cardiac phase, we compared per-vessel and per-segment image quality using Wilcoxon signed rank test and percentages of interpretable image quality (scores 3–5) among without MCA at diastole with HR ≤64 bpm, as a reference, with MCA at diastole ≤69 bpm and at systole 70–79 bpm using the chi-square test.
Results
The motion correction algorithm reconstruction provided similar or better image quality and interpretability in all groups, with 96–100 % per-vessel (
P
= 0.008 for the right coronary artery; otherwise,
P
> 0.05) and 99 % per-segment interpretable image quality (
P
= 0.0002) at diastole with HR ≤69 bpm and at systole 70–79 bpm compared to the reference (88–100 and 97 %, respectively).
Conclusion
MCA reconstruction preserved image quality and interpretability of CCTA with HR ≤79 bpm.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Coronary Angiography - methods</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary Artery Disease - physiopathology</subject><subject>Female</subject><subject>Heart Rate - physiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Motion</subject><subject>Nuclear Medicine</subject><subject>Observer Variation</subject><subject>Original Article</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Radiology</subject><subject>Radiotherapy</subject><subject>Retrospective Studies</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Young Adult</subject><issn>1867-1071</issn><issn>1867-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp1kctu3CAUhq2qUXNpH6CbCqmbbNxwMdizrEZNEylSN7PoDmHm4CGywQG8mPfqA_Y4k0ZVpS4QB_j4uPxV9ZHRL4zS9iYzpmhTU4ZNdLxmb6oL1qm2ZrT7-fa1btl5dZnzI6WqEU3zrjrnUtJGcHpR_boPblwgWCDRkXIAMsXiYyA2pgT2uTTjEJMvh4ngYEWeFjP6ciQm7IkPBdKcoJjeP0-ixk9mgLxW2YdhhDrHJeEJqqn3UNAa0-qPwaQj2e7QM_g4JDMf0DnFMJDZFA-hZDKkuMywJ_2RHMCkQpIp8L46c2bM8OGlv6p2t99227v64cf3--3Xh9o2G1nqdsNb1tNOcgFSKGn6tuld5xS3QnBGuQTXUsXpxhjuHLUAliHaKQdgnLiqrk_aOcWnBXLRk88WxtEEiEvWTMlWMCkYRfTzP-gjPjng5VZKKryKEEixE2VTzDmB03PCv0pHzaheE9WnRDUmqtdENcM9n17MSz_B_nXHnwgR4Ccg41IYIP119H-tvwFoeq8N</recordid><startdate>20150201</startdate><enddate>20150201</enddate><creator>Machida, Haruhiko</creator><creator>Lin, Xiao-Zhu</creator><creator>Fukui, Rika</creator><creator>Shen, Yun</creator><creator>Suzuki, Shigeru</creator><creator>Tanaka, Isao</creator><creator>Ishikawa, Takuya</creator><creator>Tate, Etsuko</creator><creator>Ueno, Eiko</creator><general>Springer Japan</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20150201</creationdate><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</title><author>Machida, Haruhiko ; Lin, Xiao-Zhu ; Fukui, Rika ; Shen, Yun ; Suzuki, Shigeru ; Tanaka, Isao ; Ishikawa, Takuya ; Tate, Etsuko ; Ueno, Eiko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-79271b08523e5365ab74bf8f62c3321025ef706209aa2ff0ceec13e586feeaf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Coronary Angiography - methods</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary Artery Disease - physiopathology</topic><topic>Female</topic><topic>Heart Rate - physiology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Motion</topic><topic>Nuclear Medicine</topic><topic>Observer Variation</topic><topic>Original Article</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Radiology</topic><topic>Radiotherapy</topic><topic>Retrospective Studies</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Machida, Haruhiko</creatorcontrib><creatorcontrib>Lin, Xiao-Zhu</creatorcontrib><creatorcontrib>Fukui, Rika</creatorcontrib><creatorcontrib>Shen, Yun</creatorcontrib><creatorcontrib>Suzuki, Shigeru</creatorcontrib><creatorcontrib>Tanaka, Isao</creatorcontrib><creatorcontrib>Ishikawa, Takuya</creatorcontrib><creatorcontrib>Tate, Etsuko</creatorcontrib><creatorcontrib>Ueno, Eiko</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Complete (ProQuest Database)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Biological Science Journals</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Japanese journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Machida, Haruhiko</au><au>Lin, Xiao-Zhu</au><au>Fukui, Rika</au><au>Shen, Yun</au><au>Suzuki, Shigeru</au><au>Tanaka, Isao</au><au>Ishikawa, Takuya</au><au>Tate, Etsuko</au><au>Ueno, Eiko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Japanese journal of radiology</jtitle><stitle>Jpn J Radiol</stitle><addtitle>Jpn J Radiol</addtitle><date>2015-02-01</date><risdate>2015</risdate><volume>33</volume><issue>2</issue><spage>84</spage><epage>93</epage><pages>84-93</pages><issn>1867-1071</issn><eissn>1867-108X</eissn><abstract>Purpose
We retrospectively investigated the effect of the motion correction algorithm (MCA) on image quality and interpretability by heart rate (HR) in coronary CT angiography (CCTA).
Materials and methods
For 105 patients (6 HR groups) undergoing CCTA, 2 readers independently graded the image quality of the 4 major coronary arteries reconstructed with and without MCA at diastole with HR ≤64 bpm and at systole and diastole ≥65 bpm using a 5-point scale. For each HR group and cardiac phase, we compared per-vessel and per-segment image quality using Wilcoxon signed rank test and percentages of interpretable image quality (scores 3–5) among without MCA at diastole with HR ≤64 bpm, as a reference, with MCA at diastole ≤69 bpm and at systole 70–79 bpm using the chi-square test.
Results
The motion correction algorithm reconstruction provided similar or better image quality and interpretability in all groups, with 96–100 % per-vessel (
P
= 0.008 for the right coronary artery; otherwise,
P
> 0.05) and 99 % per-segment interpretable image quality (
P
= 0.0002) at diastole with HR ≤69 bpm and at systole 70–79 bpm compared to the reference (88–100 and 97 %, respectively).
Conclusion
MCA reconstruction preserved image quality and interpretability of CCTA with HR ≤79 bpm.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>25504320</pmid><doi>10.1007/s11604-014-0382-1</doi><tpages>10</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Algorithms Coronary Angiography - methods Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - physiopathology Female Heart Rate - physiology Humans Imaging Male Medicine Medicine & Public Health Middle Aged Motion Nuclear Medicine Observer Variation Original Article Radiographic Image Interpretation, Computer-Assisted - methods Radiology Radiotherapy Retrospective Studies Tomography, X-Ray Computed - methods Young Adult |
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 |
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