Intertechnique agreement and interstudy reproducibility of strain and diastolic strain rate at 1.5 and 3 tesla: A comparison of feature-tracking and tagging in patients with aortic stenosis

Purpose To determine the interstudy reproducibility of myocardial strain and peak early‐diastolic strain rate (PEDSR) measurement on cardiovascular magnetic resonance imaging (MRI) assessed with feature tracking (FT) and tagging, in patients with aortic stenosis (AS). Materials and Methods Cardiac M...

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Veröffentlicht in:Journal of magnetic resonance imaging 2015-04, Vol.41 (4), p.1129-1137
Hauptverfasser: Singh, Anvesha, Steadman, Christopher D., Khan, Jamal N., Horsfield, Mark A., Bekele, Soliana, Nazir, Sheraz A., Kanagala, Prathap, Masca, Nicholas G.D., Clarysse, Patrick, McCann, Gerry P.
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container_end_page 1137
container_issue 4
container_start_page 1129
container_title Journal of magnetic resonance imaging
container_volume 41
creator Singh, Anvesha
Steadman, Christopher D.
Khan, Jamal N.
Horsfield, Mark A.
Bekele, Soliana
Nazir, Sheraz A.
Kanagala, Prathap
Masca, Nicholas G.D.
Clarysse, Patrick
McCann, Gerry P.
description Purpose To determine the interstudy reproducibility of myocardial strain and peak early‐diastolic strain rate (PEDSR) measurement on cardiovascular magnetic resonance imaging (MRI) assessed with feature tracking (FT) and tagging, in patients with aortic stenosis (AS). Materials and Methods Cardiac MRI was performed twice (1–14 days apart) in 18 patients (8 at 1.5 Tesla [T], 10 at 3T) with moderate–severe AS. Circumferential peak systolic strain (PSS) and PEDSR were measured in all patients. Longitudinal PSS and PEDSR were assessed using FT in all patients, and tagging in the 3T sub‐group. Results PSS was higher with FT than tagging (21.0 ± 1.9% versus 17.0 ± 3.4% at 1.5T, 21.4 ± 4.0% versus 17.7 ± 3.0% at 3T, P < 0.05), as was PEDSR (1.3 ± 0.3 s−1 versus 1.0 ± 0.3 s−1, P = 0.10 at 1.5T and 1.3 ± 0.4 s−1 versus 0.8 ± 0.3 s−1, P < 0.05 at 3T). The reproducibility of PSS was excellent with FT (coefficient of variation [CoV] 9–10%) and good with tagging at 1.5T (13–19%). Reproducibility of circumferential PEDSR was best at 1.5T when only basal/mid slices were included (CoV 12%), but moderate to poor at 3T (29–35%). Reproducibility of longitudinal strain was good with FT (10–16%) but moderate for PEDSR (∼30%). Conclusion In patients with AS, FT consistently produces higher values compared with tagging. The interstudy reproducibility of PSS is excellent with FT and good with tagging. The reproducibility of circumferential PEDSR at 1.5T is good when only basal and mid slices are used. J. Magn. Reson. Imaging 2015;41:1129–1137. © 2014 Wiley Periodicals, Inc.
doi_str_mv 10.1002/jmri.24625
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Materials and Methods Cardiac MRI was performed twice (1–14 days apart) in 18 patients (8 at 1.5 Tesla [T], 10 at 3T) with moderate–severe AS. Circumferential peak systolic strain (PSS) and PEDSR were measured in all patients. Longitudinal PSS and PEDSR were assessed using FT in all patients, and tagging in the 3T sub‐group. Results PSS was higher with FT than tagging (21.0 ± 1.9% versus 17.0 ± 3.4% at 1.5T, 21.4 ± 4.0% versus 17.7 ± 3.0% at 3T, P &lt; 0.05), as was PEDSR (1.3 ± 0.3 s−1 versus 1.0 ± 0.3 s−1, P = 0.10 at 1.5T and 1.3 ± 0.4 s−1 versus 0.8 ± 0.3 s−1, P &lt; 0.05 at 3T). The reproducibility of PSS was excellent with FT (coefficient of variation [CoV] 9–10%) and good with tagging at 1.5T (13–19%). Reproducibility of circumferential PEDSR was best at 1.5T when only basal/mid slices were included (CoV 12%), but moderate to poor at 3T (29–35%). Reproducibility of longitudinal strain was good with FT (10–16%) but moderate for PEDSR (∼30%). Conclusion In patients with AS, FT consistently produces higher values compared with tagging. The interstudy reproducibility of PSS is excellent with FT and good with tagging. The reproducibility of circumferential PEDSR at 1.5T is good when only basal and mid slices are used. J. Magn. Reson. Imaging 2015;41:1129–1137. © 2014 Wiley Periodicals, Inc.</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.24625</identifier><identifier>PMID: 24700404</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Aged ; Algorithms ; aortic stenosis ; Aortic Valve Stenosis - complications ; Aortic Valve Stenosis - pathology ; Aortic Valve Stenosis - physiopathology ; Bioengineering ; Cardiac MRI ; Diastole ; Elastic Modulus ; Elasticity Imaging Techniques - methods ; Engineering Sciences ; feature tracking ; Female ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Imaging ; Life Sciences ; Magnetic resonance imaging ; Magnetic Resonance Imaging, Cine - methods ; Male ; Observer Variation ; Pattern Recognition, Automated - methods ; Reproducibility of Results ; Sensitivity and Specificity ; Shear Strength ; Signal and Image processing ; Stress, Mechanical ; Stroke Volume ; tagging ; Ventricular Dysfunction, Left - etiology ; Ventricular Dysfunction, Left - pathology ; Ventricular Dysfunction, Left - physiopathology</subject><ispartof>Journal of magnetic resonance imaging, 2015-04, Vol.41 (4), p.1129-1137</ispartof><rights>2014 Wiley Periodicals, Inc.</rights><rights>2015 Wiley Periodicals, Inc.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5355-ed9a8cef0a8579f875300679fb7ac33a89ebdf127a6c1f92ce8225feefd0d0ca3</citedby><cites>FETCH-LOGICAL-c5355-ed9a8cef0a8579f875300679fb7ac33a89ebdf127a6c1f92ce8225feefd0d0ca3</cites><orcidid>0000-0002-5495-7655</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.24625$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.24625$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24700404$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01273224$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Singh, Anvesha</creatorcontrib><creatorcontrib>Steadman, Christopher D.</creatorcontrib><creatorcontrib>Khan, Jamal N.</creatorcontrib><creatorcontrib>Horsfield, Mark A.</creatorcontrib><creatorcontrib>Bekele, Soliana</creatorcontrib><creatorcontrib>Nazir, Sheraz A.</creatorcontrib><creatorcontrib>Kanagala, Prathap</creatorcontrib><creatorcontrib>Masca, Nicholas G.D.</creatorcontrib><creatorcontrib>Clarysse, Patrick</creatorcontrib><creatorcontrib>McCann, Gerry P.</creatorcontrib><title>Intertechnique agreement and interstudy reproducibility of strain and diastolic strain rate at 1.5 and 3 tesla: A comparison of feature-tracking and tagging in patients with aortic stenosis</title><title>Journal of magnetic resonance imaging</title><addtitle>J. Magn. Reson. Imaging</addtitle><description>Purpose To determine the interstudy reproducibility of myocardial strain and peak early‐diastolic strain rate (PEDSR) measurement on cardiovascular magnetic resonance imaging (MRI) assessed with feature tracking (FT) and tagging, in patients with aortic stenosis (AS). Materials and Methods Cardiac MRI was performed twice (1–14 days apart) in 18 patients (8 at 1.5 Tesla [T], 10 at 3T) with moderate–severe AS. Circumferential peak systolic strain (PSS) and PEDSR were measured in all patients. Longitudinal PSS and PEDSR were assessed using FT in all patients, and tagging in the 3T sub‐group. Results PSS was higher with FT than tagging (21.0 ± 1.9% versus 17.0 ± 3.4% at 1.5T, 21.4 ± 4.0% versus 17.7 ± 3.0% at 3T, P &lt; 0.05), as was PEDSR (1.3 ± 0.3 s−1 versus 1.0 ± 0.3 s−1, P = 0.10 at 1.5T and 1.3 ± 0.4 s−1 versus 0.8 ± 0.3 s−1, P &lt; 0.05 at 3T). The reproducibility of PSS was excellent with FT (coefficient of variation [CoV] 9–10%) and good with tagging at 1.5T (13–19%). Reproducibility of circumferential PEDSR was best at 1.5T when only basal/mid slices were included (CoV 12%), but moderate to poor at 3T (29–35%). Reproducibility of longitudinal strain was good with FT (10–16%) but moderate for PEDSR (∼30%). Conclusion In patients with AS, FT consistently produces higher values compared with tagging. The interstudy reproducibility of PSS is excellent with FT and good with tagging. The reproducibility of circumferential PEDSR at 1.5T is good when only basal and mid slices are used. J. Magn. Reson. Imaging 2015;41:1129–1137. © 2014 Wiley Periodicals, Inc.</description><subject>Aged</subject><subject>Algorithms</subject><subject>aortic stenosis</subject><subject>Aortic Valve Stenosis - complications</subject><subject>Aortic Valve Stenosis - pathology</subject><subject>Aortic Valve Stenosis - physiopathology</subject><subject>Bioengineering</subject><subject>Cardiac MRI</subject><subject>Diastole</subject><subject>Elastic Modulus</subject><subject>Elasticity Imaging Techniques - methods</subject><subject>Engineering Sciences</subject><subject>feature tracking</subject><subject>Female</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Life Sciences</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging, Cine - methods</subject><subject>Male</subject><subject>Observer Variation</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Shear Strength</subject><subject>Signal and Image processing</subject><subject>Stress, Mechanical</subject><subject>Stroke Volume</subject><subject>tagging</subject><subject>Ventricular Dysfunction, Left - etiology</subject><subject>Ventricular Dysfunction, Left - pathology</subject><subject>Ventricular Dysfunction, Left - physiopathology</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kk2P0zAQhiMEYpeFCz8AWeICSCn-iPPBraxgWyhFQsBKXKypM2ndzUexHZb-OP4bTrPtgQMnj8bP-854PFH0lNEJo5S_3jbWTHiScnkvOmeS85jLPL0fYipFzHKanUWPnNtSSosikQ-jM55klCY0OY_-zFuP1qPetOZnjwTWFrHB1hNoS2KGS-f7ck8s7mxX9tqsTG38nnQVcd6CaQ9gacD5rjb6mLTgg5knbCIPgCAeXQ1vyJTortmBNa5rB5MKwfcW4yDTN6ZdH2gP6_UQB6MdeBPaceTW-A2BzvpDEWw7Z9zj6EEFtcMnd-dF9O39u6-Xs3jx-Wp-OV3EWgopYywLyDVWFHKZFVWeSUFpGqJVBloIyAtclRXjGaSaVQXXmHMuK8SqpCXVIC6il6PvBmq1s6YBu1cdGDWbLtSQo0EsOE9-scC-GNkwrzBR51VjnMa6hha73imWppJxJpMkoM__Qbddb9vwkoFKEioKPlCvRkrbzjmL1akDRtWwAGpYAHVYgAA_u7PsVw2WJ_T44wFgI3Bratz_x0p9-PRlfjSNR40Jg_990oC9UWkmMqmul1fq44-3s6VYflfX4i8ISs3B</recordid><startdate>201504</startdate><enddate>201504</enddate><creator>Singh, Anvesha</creator><creator>Steadman, Christopher D.</creator><creator>Khan, Jamal N.</creator><creator>Horsfield, Mark A.</creator><creator>Bekele, Soliana</creator><creator>Nazir, Sheraz A.</creator><creator>Kanagala, Prathap</creator><creator>Masca, Nicholas G.D.</creator><creator>Clarysse, Patrick</creator><creator>McCann, Gerry P.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><general>Wiley-Blackwell</general><scope>BSCLL</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>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-5495-7655</orcidid></search><sort><creationdate>201504</creationdate><title>Intertechnique agreement and interstudy reproducibility of strain and diastolic strain rate at 1.5 and 3 tesla: A comparison of feature-tracking and tagging in patients with aortic stenosis</title><author>Singh, Anvesha ; Steadman, Christopher D. ; Khan, Jamal N. ; Horsfield, Mark A. ; Bekele, Soliana ; Nazir, Sheraz A. ; Kanagala, Prathap ; Masca, Nicholas G.D. ; Clarysse, Patrick ; McCann, Gerry P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5355-ed9a8cef0a8579f875300679fb7ac33a89ebdf127a6c1f92ce8225feefd0d0ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Algorithms</topic><topic>aortic stenosis</topic><topic>Aortic Valve Stenosis - complications</topic><topic>Aortic Valve Stenosis - pathology</topic><topic>Aortic Valve Stenosis - physiopathology</topic><topic>Bioengineering</topic><topic>Cardiac MRI</topic><topic>Diastole</topic><topic>Elastic Modulus</topic><topic>Elasticity Imaging Techniques - methods</topic><topic>Engineering Sciences</topic><topic>feature tracking</topic><topic>Female</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Life Sciences</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging, Cine - methods</topic><topic>Male</topic><topic>Observer Variation</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Shear Strength</topic><topic>Signal and Image processing</topic><topic>Stress, Mechanical</topic><topic>Stroke Volume</topic><topic>tagging</topic><topic>Ventricular Dysfunction, Left - etiology</topic><topic>Ventricular Dysfunction, Left - pathology</topic><topic>Ventricular Dysfunction, Left - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Singh, Anvesha</creatorcontrib><creatorcontrib>Steadman, Christopher D.</creatorcontrib><creatorcontrib>Khan, Jamal N.</creatorcontrib><creatorcontrib>Horsfield, Mark A.</creatorcontrib><creatorcontrib>Bekele, Soliana</creatorcontrib><creatorcontrib>Nazir, Sheraz A.</creatorcontrib><creatorcontrib>Kanagala, Prathap</creatorcontrib><creatorcontrib>Masca, Nicholas G.D.</creatorcontrib><creatorcontrib>Clarysse, Patrick</creatorcontrib><creatorcontrib>McCann, Gerry P.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Singh, Anvesha</au><au>Steadman, Christopher D.</au><au>Khan, Jamal N.</au><au>Horsfield, Mark A.</au><au>Bekele, Soliana</au><au>Nazir, Sheraz A.</au><au>Kanagala, Prathap</au><au>Masca, Nicholas G.D.</au><au>Clarysse, Patrick</au><au>McCann, Gerry P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intertechnique agreement and interstudy reproducibility of strain and diastolic strain rate at 1.5 and 3 tesla: A comparison of feature-tracking and tagging in patients with aortic stenosis</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J. Magn. Reson. Imaging</addtitle><date>2015-04</date><risdate>2015</risdate><volume>41</volume><issue>4</issue><spage>1129</spage><epage>1137</epage><pages>1129-1137</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Purpose To determine the interstudy reproducibility of myocardial strain and peak early‐diastolic strain rate (PEDSR) measurement on cardiovascular magnetic resonance imaging (MRI) assessed with feature tracking (FT) and tagging, in patients with aortic stenosis (AS). Materials and Methods Cardiac MRI was performed twice (1–14 days apart) in 18 patients (8 at 1.5 Tesla [T], 10 at 3T) with moderate–severe AS. Circumferential peak systolic strain (PSS) and PEDSR were measured in all patients. Longitudinal PSS and PEDSR were assessed using FT in all patients, and tagging in the 3T sub‐group. Results PSS was higher with FT than tagging (21.0 ± 1.9% versus 17.0 ± 3.4% at 1.5T, 21.4 ± 4.0% versus 17.7 ± 3.0% at 3T, P &lt; 0.05), as was PEDSR (1.3 ± 0.3 s−1 versus 1.0 ± 0.3 s−1, P = 0.10 at 1.5T and 1.3 ± 0.4 s−1 versus 0.8 ± 0.3 s−1, P &lt; 0.05 at 3T). The reproducibility of PSS was excellent with FT (coefficient of variation [CoV] 9–10%) and good with tagging at 1.5T (13–19%). Reproducibility of circumferential PEDSR was best at 1.5T when only basal/mid slices were included (CoV 12%), but moderate to poor at 3T (29–35%). Reproducibility of longitudinal strain was good with FT (10–16%) but moderate for PEDSR (∼30%). Conclusion In patients with AS, FT consistently produces higher values compared with tagging. The interstudy reproducibility of PSS is excellent with FT and good with tagging. The reproducibility of circumferential PEDSR at 1.5T is good when only basal and mid slices are used. J. Magn. Reson. Imaging 2015;41:1129–1137. © 2014 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>24700404</pmid><doi>10.1002/jmri.24625</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-5495-7655</orcidid><oa>free_for_read</oa></addata></record>
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subjects Aged
Algorithms
aortic stenosis
Aortic Valve Stenosis - complications
Aortic Valve Stenosis - pathology
Aortic Valve Stenosis - physiopathology
Bioengineering
Cardiac MRI
Diastole
Elastic Modulus
Elasticity Imaging Techniques - methods
Engineering Sciences
feature tracking
Female
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging
Life Sciences
Magnetic resonance imaging
Magnetic Resonance Imaging, Cine - methods
Male
Observer Variation
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity
Shear Strength
Signal and Image processing
Stress, Mechanical
Stroke Volume
tagging
Ventricular Dysfunction, Left - etiology
Ventricular Dysfunction, Left - pathology
Ventricular Dysfunction, Left - physiopathology
title Intertechnique agreement and interstudy reproducibility of strain and diastolic strain rate at 1.5 and 3 tesla: A comparison of feature-tracking and tagging in patients with aortic stenosis
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