Measurement of Ventricular Torsion by Two-Dimensional Ultrasound Speckle Tracking Imaging
We sought to examine the accuracy/consistency of a novel ultrasound speckle tracking imaging (STI) method for left ventricular torsion (LVtor) measurement in comparison with tagged magnetic resonance imaging (MRI) (a time-domain method similar to STI) and Doppler tissue imaging (DTI) (a velocity-bas...
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creator | Notomi, Yuichi Shiota, Takahiro Popović, Zoran B. Weaver, Joan A. Oryszak, Stephanie J. Greenberg, Neil L. White, Richard D. Thomas, James D. Setser, Randolph M. White, Richard D. Lysyansky, Peter Martin-Miklovic, Maureen G. |
description | We sought to examine the accuracy/consistency of a novel ultrasound speckle tracking imaging (STI) method for left ventricular torsion (LVtor) measurement in comparison with tagged magnetic resonance imaging (MRI) (a time-domain method similar to STI) and Doppler tissue imaging (DTI) (a velocity-based approach).
Left ventricular torsion from helically oriented myofibers is a key parameter of cardiac performance but is difficult to measure. Ultrasound STI is potentially suitable for measurement of angular motion because of its angle-independence.
We acquired basal and apical short-axis left ventricular (LV) images in 15 patients to estimate LVtor by STI and compare it with tagged MRI and DTI. Left ventricular torsion was defined as the net difference of LV rotation at the basal and apical planes. For the STI analysis, we used high-frame (104 ± 12 frames/s) second harmonic two-dimensional images.
Data on 13 of 15 patients were usable for STI analysis, and LVtor profile estimated by STI strongly correlated with those by tagged MRI (y = 0.95x + 0.19, r = 0.93, p < 0.0001, analyzed by repeated-measures regression models). The STI torsional velocity profile also correlated well with that by the DTI method (y = 0.79x + 2.4, r = 0.76, p < 0.0001, by repeated-measures regression models) with acceptable bias.
The STI estimation of LVtor is concordant with those analyzed by tagged MRI (data derived from tissue displacement) and also showed good agreement with those by DTI (data derived from tissue velocity). Ultrasound STI is a promising new method to assess LV torsional deformation and may make the assessment more available in clinical and research cardiology. |
doi_str_mv | 10.1016/j.jacc.2005.02.082 |
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Left ventricular torsion from helically oriented myofibers is a key parameter of cardiac performance but is difficult to measure. Ultrasound STI is potentially suitable for measurement of angular motion because of its angle-independence.
We acquired basal and apical short-axis left ventricular (LV) images in 15 patients to estimate LVtor by STI and compare it with tagged MRI and DTI. Left ventricular torsion was defined as the net difference of LV rotation at the basal and apical planes. For the STI analysis, we used high-frame (104 ± 12 frames/s) second harmonic two-dimensional images.
Data on 13 of 15 patients were usable for STI analysis, and LVtor profile estimated by STI strongly correlated with those by tagged MRI (y = 0.95x + 0.19, r = 0.93, p < 0.0001, analyzed by repeated-measures regression models). The STI torsional velocity profile also correlated well with that by the DTI method (y = 0.79x + 2.4, r = 0.76, p < 0.0001, by repeated-measures regression models) with acceptable bias.
The STI estimation of LVtor is concordant with those analyzed by tagged MRI (data derived from tissue displacement) and also showed good agreement with those by DTI (data derived from tissue velocity). Ultrasound STI is a promising new method to assess LV torsional deformation and may make the assessment more available in clinical and research cardiology.</description><identifier>ISSN: 0735-1097</identifier><identifier>EISSN: 1558-3597</identifier><identifier>DOI: 10.1016/j.jacc.2005.02.082</identifier><identifier>PMID: 15963406</identifier><identifier>CODEN: JACCDI</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Biological and medical sciences ; Cardiology ; Cardiology. Vascular system ; Cardiovascular disease ; Echocardiography - methods ; Humans ; Image Processing, Computer-Assisted ; Medical sciences ; Myocardial Contraction - physiology ; NMR ; Nuclear magnetic resonance ; Reproducibility of Results ; Software ; Studies ; Torsion Abnormality - diagnostic imaging ; Torsion Abnormality - pathology ; Torsion Abnormality - physiopathology ; Ventricular Dysfunction, Left - diagnostic imaging ; Ventricular Dysfunction, Left - pathology ; Ventricular Dysfunction, Left - physiopathology ; Work stations</subject><ispartof>Journal of the American College of Cardiology, 2005-06, Vol.45 (12), p.2034-2041</ispartof><rights>2005 American College of Cardiology Foundation</rights><rights>2005 INIST-CNRS</rights><rights>Copyright Elsevier Limited Jun 21, 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c558t-ce7f2b395fac157b38ceb4d351fe052ab25a0aa9845d727f6e099a4ca948e2c93</citedby><cites>FETCH-LOGICAL-c558t-ce7f2b395fac157b38ceb4d351fe052ab25a0aa9845d727f6e099a4ca948e2c93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0735109705007539$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16961109$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15963406$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Notomi, Yuichi</creatorcontrib><creatorcontrib>Shiota, Takahiro</creatorcontrib><creatorcontrib>Popović, Zoran B.</creatorcontrib><creatorcontrib>Weaver, Joan A.</creatorcontrib><creatorcontrib>Oryszak, Stephanie J.</creatorcontrib><creatorcontrib>Greenberg, Neil L.</creatorcontrib><creatorcontrib>White, Richard D.</creatorcontrib><creatorcontrib>Thomas, James D.</creatorcontrib><creatorcontrib>Setser, Randolph M.</creatorcontrib><creatorcontrib>White, Richard D.</creatorcontrib><creatorcontrib>Lysyansky, Peter</creatorcontrib><creatorcontrib>Martin-Miklovic, Maureen G.</creatorcontrib><title>Measurement of Ventricular Torsion by Two-Dimensional Ultrasound Speckle Tracking Imaging</title><title>Journal of the American College of Cardiology</title><addtitle>J Am Coll Cardiol</addtitle><description>We sought to examine the accuracy/consistency of a novel ultrasound speckle tracking imaging (STI) method for left ventricular torsion (LVtor) measurement in comparison with tagged magnetic resonance imaging (MRI) (a time-domain method similar to STI) and Doppler tissue imaging (DTI) (a velocity-based approach).
Left ventricular torsion from helically oriented myofibers is a key parameter of cardiac performance but is difficult to measure. Ultrasound STI is potentially suitable for measurement of angular motion because of its angle-independence.
We acquired basal and apical short-axis left ventricular (LV) images in 15 patients to estimate LVtor by STI and compare it with tagged MRI and DTI. Left ventricular torsion was defined as the net difference of LV rotation at the basal and apical planes. For the STI analysis, we used high-frame (104 ± 12 frames/s) second harmonic two-dimensional images.
Data on 13 of 15 patients were usable for STI analysis, and LVtor profile estimated by STI strongly correlated with those by tagged MRI (y = 0.95x + 0.19, r = 0.93, p < 0.0001, analyzed by repeated-measures regression models). The STI torsional velocity profile also correlated well with that by the DTI method (y = 0.79x + 2.4, r = 0.76, p < 0.0001, by repeated-measures regression models) with acceptable bias.
The STI estimation of LVtor is concordant with those analyzed by tagged MRI (data derived from tissue displacement) and also showed good agreement with those by DTI (data derived from tissue velocity). Ultrasound STI is a promising new method to assess LV torsional deformation and may make the assessment more available in clinical and research cardiology.</description><subject>Biological and medical sciences</subject><subject>Cardiology</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular disease</subject><subject>Echocardiography - methods</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Medical sciences</subject><subject>Myocardial Contraction - physiology</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Reproducibility of Results</subject><subject>Software</subject><subject>Studies</subject><subject>Torsion Abnormality - diagnostic imaging</subject><subject>Torsion Abnormality - pathology</subject><subject>Torsion Abnormality - physiopathology</subject><subject>Ventricular Dysfunction, Left - diagnostic imaging</subject><subject>Ventricular Dysfunction, Left - pathology</subject><subject>Ventricular Dysfunction, Left - physiopathology</subject><subject>Work stations</subject><issn>0735-1097</issn><issn>1558-3597</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc-L1TAQx4Mo7nP1H_AgBdFb6yRtkga8yPprYcWDbwVPYZpOl3T7mrdJq-x_bx7vwYIHT18YPjPMfIaxlxwqDly9G6sRnasEgKxAVNCKR2zDpWzLWhr9mG1A17LkYPQZe5bSCACq5eYpO-PSqLoBtWG_vhGmNdKO5qUIQ_EzZ_RunTAW2xCTD3PR3RfbP6H86DN0KOBUXE9LxBTWuS9-7MndTlRsI7pbP98Ulzu8yfmcPRlwSvTilOfs-vOn7cXX8ur7l8uLD1ely5supSM9iK42ckDHpe7q1lHX9LXkA4EU2AmJgGjaRvZa6EERGIONQ9O0JJypz9nb49x9DHcrpcXufHI0TThTWJNV2kiQWmfw9T_gGNaYr0mWS1BcNUqITIkj5WJIKdJg99HvMN5bDvag3Y72oN0etFsQNmvPTa9Oo9duR_1Dy8lzBt6cAEwOpyHi7Hx64JRRPD8qc--PHGVjvz1Fm5yn2VHvI7nF9sH_b4-_IvegsQ</recordid><startdate>20050621</startdate><enddate>20050621</enddate><creator>Notomi, Yuichi</creator><creator>Shiota, Takahiro</creator><creator>Popović, Zoran B.</creator><creator>Weaver, Joan A.</creator><creator>Oryszak, Stephanie J.</creator><creator>Greenberg, Neil L.</creator><creator>White, Richard D.</creator><creator>Thomas, James D.</creator><creator>Setser, Randolph M.</creator><creator>White, Richard D.</creator><creator>Lysyansky, Peter</creator><creator>Martin-Miklovic, Maureen G.</creator><general>Elsevier Inc</general><general>Elsevier Science</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</scope><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>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20050621</creationdate><title>Measurement of Ventricular Torsion by Two-Dimensional Ultrasound Speckle Tracking Imaging</title><author>Notomi, Yuichi ; Shiota, Takahiro ; Popović, Zoran B. ; Weaver, Joan A. ; Oryszak, Stephanie J. ; Greenberg, Neil L. ; White, Richard D. ; Thomas, James D. ; Setser, Randolph M. ; White, Richard D. ; Lysyansky, Peter ; Martin-Miklovic, Maureen G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c558t-ce7f2b395fac157b38ceb4d351fe052ab25a0aa9845d727f6e099a4ca948e2c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological and medical sciences</topic><topic>Cardiology</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular disease</topic><topic>Echocardiography - methods</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Medical sciences</topic><topic>Myocardial Contraction - physiology</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Reproducibility of Results</topic><topic>Software</topic><topic>Studies</topic><topic>Torsion Abnormality - diagnostic imaging</topic><topic>Torsion Abnormality - pathology</topic><topic>Torsion Abnormality - physiopathology</topic><topic>Ventricular Dysfunction, Left - diagnostic imaging</topic><topic>Ventricular Dysfunction, Left - pathology</topic><topic>Ventricular Dysfunction, Left - physiopathology</topic><topic>Work stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Notomi, Yuichi</creatorcontrib><creatorcontrib>Shiota, Takahiro</creatorcontrib><creatorcontrib>Popović, Zoran B.</creatorcontrib><creatorcontrib>Weaver, Joan A.</creatorcontrib><creatorcontrib>Oryszak, Stephanie J.</creatorcontrib><creatorcontrib>Greenberg, Neil L.</creatorcontrib><creatorcontrib>White, Richard D.</creatorcontrib><creatorcontrib>Thomas, James D.</creatorcontrib><creatorcontrib>Setser, Randolph M.</creatorcontrib><creatorcontrib>White, Richard D.</creatorcontrib><creatorcontrib>Lysyansky, Peter</creatorcontrib><creatorcontrib>Martin-Miklovic, Maureen G.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American College of Cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Notomi, Yuichi</au><au>Shiota, Takahiro</au><au>Popović, Zoran B.</au><au>Weaver, Joan A.</au><au>Oryszak, Stephanie J.</au><au>Greenberg, Neil L.</au><au>White, Richard D.</au><au>Thomas, James D.</au><au>Setser, Randolph M.</au><au>White, Richard D.</au><au>Lysyansky, Peter</au><au>Martin-Miklovic, Maureen G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement of Ventricular Torsion by Two-Dimensional Ultrasound Speckle Tracking Imaging</atitle><jtitle>Journal of the American College of Cardiology</jtitle><addtitle>J Am Coll Cardiol</addtitle><date>2005-06-21</date><risdate>2005</risdate><volume>45</volume><issue>12</issue><spage>2034</spage><epage>2041</epage><pages>2034-2041</pages><issn>0735-1097</issn><eissn>1558-3597</eissn><coden>JACCDI</coden><abstract>We sought to examine the accuracy/consistency of a novel ultrasound speckle tracking imaging (STI) method for left ventricular torsion (LVtor) measurement in comparison with tagged magnetic resonance imaging (MRI) (a time-domain method similar to STI) and Doppler tissue imaging (DTI) (a velocity-based approach).
Left ventricular torsion from helically oriented myofibers is a key parameter of cardiac performance but is difficult to measure. Ultrasound STI is potentially suitable for measurement of angular motion because of its angle-independence.
We acquired basal and apical short-axis left ventricular (LV) images in 15 patients to estimate LVtor by STI and compare it with tagged MRI and DTI. Left ventricular torsion was defined as the net difference of LV rotation at the basal and apical planes. For the STI analysis, we used high-frame (104 ± 12 frames/s) second harmonic two-dimensional images.
Data on 13 of 15 patients were usable for STI analysis, and LVtor profile estimated by STI strongly correlated with those by tagged MRI (y = 0.95x + 0.19, r = 0.93, p < 0.0001, analyzed by repeated-measures regression models). The STI torsional velocity profile also correlated well with that by the DTI method (y = 0.79x + 2.4, r = 0.76, p < 0.0001, by repeated-measures regression models) with acceptable bias.
The STI estimation of LVtor is concordant with those analyzed by tagged MRI (data derived from tissue displacement) and also showed good agreement with those by DTI (data derived from tissue velocity). Ultrasound STI is a promising new method to assess LV torsional deformation and may make the assessment more available in clinical and research cardiology.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>15963406</pmid><doi>10.1016/j.jacc.2005.02.082</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biological and medical sciences Cardiology Cardiology. Vascular system Cardiovascular disease Echocardiography - methods Humans Image Processing, Computer-Assisted Medical sciences Myocardial Contraction - physiology NMR Nuclear magnetic resonance Reproducibility of Results Software Studies Torsion Abnormality - diagnostic imaging Torsion Abnormality - pathology Torsion Abnormality - physiopathology Ventricular Dysfunction, Left - diagnostic imaging Ventricular Dysfunction, Left - pathology Ventricular Dysfunction, Left - physiopathology Work stations |
title | Measurement of Ventricular Torsion by Two-Dimensional Ultrasound Speckle Tracking Imaging |
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