Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study
Background There is currently a lack of suitable objective endpoints to measure disease progression in Duchenne muscular dystrophy (DMD). Emerging research suggests that diffusion tensor imaging (DTI) has potential as an outcome measure for the evaluation of skeletal muscle injury. Objective The obj...
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creator | Ponrartana, Skorn Ramos-Platt, Leigh Wren, Tishya Anne Leong Hu, Houchun Harry Perkins, Thomas Gardner Chia, Jonathan Mawlin Gilsanz, Vicente |
description | Background
There is currently a lack of suitable objective endpoints to measure disease progression in Duchenne muscular dystrophy (DMD). Emerging research suggests that diffusion tensor imaging (DTI) has potential as an outcome measure for the evaluation of skeletal muscle injury.
Objective
The objective of this study was to evaluate the potential of DTI as quantitative magnetic resonance imaging (MRI) markers of disease severity in DMD.
Materials and methods
Thirteen consecutive boys (8.9 years ± 3.0 years) with DMD were evaluated using DTI. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were compared with clinical outcome measures of manual muscle testing and MRI determinations of muscle fat fraction (MFF) in the right lower extremity.
Results
Both MRI measures of FA and ADC strongly correlated with age and muscle strength. Values for FA positively correlated with age and negatively correlated with muscle strength (
r
= 0.78 and −0.96; both
P
≤ 0.002) while measures of ADC negatively correlated age, but positively correlated with muscle strength (
r
= −0.87 and 0.83; both
P
≤ 0.0004). Additionally, ADC and FA strongly correlated with MFF (
r
= −0.891 and 0.894, respectively; both
P
≤ 0.0001). Mean MMF was negatively correlated with muscle strength (
r
= −0.89,
P
= 0.0001).
Conclusion
DTI measures of muscle structure strongly correlated with muscle strength and adiposity in boys with DMD in this pilot study, although these markers may be more reflective of fat replacement rather than muscle damage in later stages of the disease. Further studies in presymptomatic younger children are needed to assess the ability of DTI to detect early changes in DMD. |
doi_str_mv | 10.1007/s00247-014-3187-6 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1669450774</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1669450774</sourcerecordid><originalsourceid>FETCH-LOGICAL-c442t-636204efdbfa2e1da3a7626663d7fb662b961c9ec84920e783018f175a50f2f03</originalsourceid><addsrcrecordid>eNp1kU1v1DAQhi0EokvhB3BBlrhwCR1_xE64odJCpUpc4Bx5k_HWVeIsnrhS_j2OtkUIiZM1mmde2_Mw9lbARwFgLwhAaluB0JUSja3MM7YTWslKtG3znO1AgahA6_aMvSK6BwBVC_WSnclaagOt3bH1ynvsl_CAEYn47PkQvM8U5sgXjDQnHiZ3CPHAQ-SOqFBbMQRCR8gJHzCFZd26X3J_hzEinzL1eXSJDystaT7erZ_4MeEYphBdWjkteVhfsxfejYRvHs9z9vP66sflt-r2-9eby8-3Va-1XCqjjASNfth7J1EMTjlrpDFGDdbvjZH71oi-xb7RrQS0Tflz44WtXQ1eelDn7MMp95jmXxlp6aZAPY6jizhn6oQxra7BWl3Q9_-g93NOsbxuoxolhQZVKHGi-jQTJfTdMZUdpbUT0G1eupOXrnjpNi-dKTPvHpPzfsLhz8STiALIE0ClFQ-Y_rr6v6m_AfHDmfM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1668321403</pqid></control><display><type>article</type><title>Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Ponrartana, Skorn ; Ramos-Platt, Leigh ; Wren, Tishya Anne Leong ; Hu, Houchun Harry ; Perkins, Thomas Gardner ; Chia, Jonathan Mawlin ; Gilsanz, Vicente</creator><creatorcontrib>Ponrartana, Skorn ; Ramos-Platt, Leigh ; Wren, Tishya Anne Leong ; Hu, Houchun Harry ; Perkins, Thomas Gardner ; Chia, Jonathan Mawlin ; Gilsanz, Vicente</creatorcontrib><description>Background
There is currently a lack of suitable objective endpoints to measure disease progression in Duchenne muscular dystrophy (DMD). Emerging research suggests that diffusion tensor imaging (DTI) has potential as an outcome measure for the evaluation of skeletal muscle injury.
Objective
The objective of this study was to evaluate the potential of DTI as quantitative magnetic resonance imaging (MRI) markers of disease severity in DMD.
Materials and methods
Thirteen consecutive boys (8.9 years ± 3.0 years) with DMD were evaluated using DTI. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were compared with clinical outcome measures of manual muscle testing and MRI determinations of muscle fat fraction (MFF) in the right lower extremity.
Results
Both MRI measures of FA and ADC strongly correlated with age and muscle strength. Values for FA positively correlated with age and negatively correlated with muscle strength (
r
= 0.78 and −0.96; both
P
≤ 0.002) while measures of ADC negatively correlated age, but positively correlated with muscle strength (
r
= −0.87 and 0.83; both
P
≤ 0.0004). Additionally, ADC and FA strongly correlated with MFF (
r
= −0.891 and 0.894, respectively; both
P
≤ 0.0001). Mean MMF was negatively correlated with muscle strength (
r
= −0.89,
P
= 0.0001).
Conclusion
DTI measures of muscle structure strongly correlated with muscle strength and adiposity in boys with DMD in this pilot study, although these markers may be more reflective of fat replacement rather than muscle damage in later stages of the disease. Further studies in presymptomatic younger children are needed to assess the ability of DTI to detect early changes in DMD.</description><identifier>ISSN: 0301-0449</identifier><identifier>EISSN: 1432-1998</identifier><identifier>DOI: 10.1007/s00247-014-3187-6</identifier><identifier>PMID: 25246097</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Child ; Diffusion Tensor Imaging - methods ; Humans ; Image Interpretation, Computer-Assisted - methods ; Imaging ; Male ; Medicine ; Medicine & Public Health ; Muscular Dystrophy, Duchenne - diagnosis ; Neuroradiology ; Nuclear Medicine ; Oncology ; Original Article ; Pediatrics ; Physical Examination ; Pilot Projects ; Radiology ; Reproducibility of Results ; Sensitivity and Specificity ; Severity of Illness Index ; Ultrasound</subject><ispartof>Pediatric radiology, 2015-04, Vol.45 (4), p.582-589</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><rights>Springer-Verlag Berlin Heidelberg 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-636204efdbfa2e1da3a7626663d7fb662b961c9ec84920e783018f175a50f2f03</citedby><cites>FETCH-LOGICAL-c442t-636204efdbfa2e1da3a7626663d7fb662b961c9ec84920e783018f175a50f2f03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00247-014-3187-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00247-014-3187-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25246097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ponrartana, Skorn</creatorcontrib><creatorcontrib>Ramos-Platt, Leigh</creatorcontrib><creatorcontrib>Wren, Tishya Anne Leong</creatorcontrib><creatorcontrib>Hu, Houchun Harry</creatorcontrib><creatorcontrib>Perkins, Thomas Gardner</creatorcontrib><creatorcontrib>Chia, Jonathan Mawlin</creatorcontrib><creatorcontrib>Gilsanz, Vicente</creatorcontrib><title>Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study</title><title>Pediatric radiology</title><addtitle>Pediatr Radiol</addtitle><addtitle>Pediatr Radiol</addtitle><description>Background
There is currently a lack of suitable objective endpoints to measure disease progression in Duchenne muscular dystrophy (DMD). Emerging research suggests that diffusion tensor imaging (DTI) has potential as an outcome measure for the evaluation of skeletal muscle injury.
Objective
The objective of this study was to evaluate the potential of DTI as quantitative magnetic resonance imaging (MRI) markers of disease severity in DMD.
Materials and methods
Thirteen consecutive boys (8.9 years ± 3.0 years) with DMD were evaluated using DTI. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were compared with clinical outcome measures of manual muscle testing and MRI determinations of muscle fat fraction (MFF) in the right lower extremity.
Results
Both MRI measures of FA and ADC strongly correlated with age and muscle strength. Values for FA positively correlated with age and negatively correlated with muscle strength (
r
= 0.78 and −0.96; both
P
≤ 0.002) while measures of ADC negatively correlated age, but positively correlated with muscle strength (
r
= −0.87 and 0.83; both
P
≤ 0.0004). Additionally, ADC and FA strongly correlated with MFF (
r
= −0.891 and 0.894, respectively; both
P
≤ 0.0001). Mean MMF was negatively correlated with muscle strength (
r
= −0.89,
P
= 0.0001).
Conclusion
DTI measures of muscle structure strongly correlated with muscle strength and adiposity in boys with DMD in this pilot study, although these markers may be more reflective of fat replacement rather than muscle damage in later stages of the disease. Further studies in presymptomatic younger children are needed to assess the ability of DTI to detect early changes in DMD.</description><subject>Adolescent</subject><subject>Child</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Muscular Dystrophy, Duchenne - diagnosis</subject><subject>Neuroradiology</subject><subject>Nuclear Medicine</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Pediatrics</subject><subject>Physical Examination</subject><subject>Pilot Projects</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Severity of Illness Index</subject><subject>Ultrasound</subject><issn>0301-0449</issn><issn>1432-1998</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU1v1DAQhi0EokvhB3BBlrhwCR1_xE64odJCpUpc4Bx5k_HWVeIsnrhS_j2OtkUIiZM1mmde2_Mw9lbARwFgLwhAaluB0JUSja3MM7YTWslKtG3znO1AgahA6_aMvSK6BwBVC_WSnclaagOt3bH1ynvsl_CAEYn47PkQvM8U5sgXjDQnHiZ3CPHAQ-SOqFBbMQRCR8gJHzCFZd26X3J_hzEinzL1eXSJDystaT7erZ_4MeEYphBdWjkteVhfsxfejYRvHs9z9vP66sflt-r2-9eby8-3Va-1XCqjjASNfth7J1EMTjlrpDFGDdbvjZH71oi-xb7RrQS0Tflz44WtXQ1eelDn7MMp95jmXxlp6aZAPY6jizhn6oQxra7BWl3Q9_-g93NOsbxuoxolhQZVKHGi-jQTJfTdMZUdpbUT0G1eupOXrnjpNi-dKTPvHpPzfsLhz8STiALIE0ClFQ-Y_rr6v6m_AfHDmfM</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Ponrartana, Skorn</creator><creator>Ramos-Platt, Leigh</creator><creator>Wren, Tishya Anne Leong</creator><creator>Hu, Houchun Harry</creator><creator>Perkins, Thomas Gardner</creator><creator>Chia, Jonathan Mawlin</creator><creator>Gilsanz, Vicente</creator><general>Springer Berlin Heidelberg</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>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20150401</creationdate><title>Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study</title><author>Ponrartana, Skorn ; Ramos-Platt, Leigh ; Wren, Tishya Anne Leong ; Hu, Houchun Harry ; Perkins, Thomas Gardner ; Chia, Jonathan Mawlin ; Gilsanz, Vicente</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-636204efdbfa2e1da3a7626663d7fb662b961c9ec84920e783018f175a50f2f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Child</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Muscular Dystrophy, Duchenne - diagnosis</topic><topic>Neuroradiology</topic><topic>Nuclear Medicine</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Pediatrics</topic><topic>Physical Examination</topic><topic>Pilot Projects</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Severity of Illness Index</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ponrartana, Skorn</creatorcontrib><creatorcontrib>Ramos-Platt, Leigh</creatorcontrib><creatorcontrib>Wren, Tishya Anne Leong</creatorcontrib><creatorcontrib>Hu, Houchun Harry</creatorcontrib><creatorcontrib>Perkins, Thomas Gardner</creatorcontrib><creatorcontrib>Chia, Jonathan Mawlin</creatorcontrib><creatorcontrib>Gilsanz, Vicente</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>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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 Edition)</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>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatric radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ponrartana, Skorn</au><au>Ramos-Platt, Leigh</au><au>Wren, Tishya Anne Leong</au><au>Hu, Houchun Harry</au><au>Perkins, Thomas Gardner</au><au>Chia, Jonathan Mawlin</au><au>Gilsanz, Vicente</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study</atitle><jtitle>Pediatric radiology</jtitle><stitle>Pediatr Radiol</stitle><addtitle>Pediatr Radiol</addtitle><date>2015-04-01</date><risdate>2015</risdate><volume>45</volume><issue>4</issue><spage>582</spage><epage>589</epage><pages>582-589</pages><issn>0301-0449</issn><eissn>1432-1998</eissn><abstract>Background
There is currently a lack of suitable objective endpoints to measure disease progression in Duchenne muscular dystrophy (DMD). Emerging research suggests that diffusion tensor imaging (DTI) has potential as an outcome measure for the evaluation of skeletal muscle injury.
Objective
The objective of this study was to evaluate the potential of DTI as quantitative magnetic resonance imaging (MRI) markers of disease severity in DMD.
Materials and methods
Thirteen consecutive boys (8.9 years ± 3.0 years) with DMD were evaluated using DTI. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were compared with clinical outcome measures of manual muscle testing and MRI determinations of muscle fat fraction (MFF) in the right lower extremity.
Results
Both MRI measures of FA and ADC strongly correlated with age and muscle strength. Values for FA positively correlated with age and negatively correlated with muscle strength (
r
= 0.78 and −0.96; both
P
≤ 0.002) while measures of ADC negatively correlated age, but positively correlated with muscle strength (
r
= −0.87 and 0.83; both
P
≤ 0.0004). Additionally, ADC and FA strongly correlated with MFF (
r
= −0.891 and 0.894, respectively; both
P
≤ 0.0001). Mean MMF was negatively correlated with muscle strength (
r
= −0.89,
P
= 0.0001).
Conclusion
DTI measures of muscle structure strongly correlated with muscle strength and adiposity in boys with DMD in this pilot study, although these markers may be more reflective of fat replacement rather than muscle damage in later stages of the disease. Further studies in presymptomatic younger children are needed to assess the ability of DTI to detect early changes in DMD.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25246097</pmid><doi>10.1007/s00247-014-3187-6</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescent Child Diffusion Tensor Imaging - methods Humans Image Interpretation, Computer-Assisted - methods Imaging Male Medicine Medicine & Public Health Muscular Dystrophy, Duchenne - diagnosis Neuroradiology Nuclear Medicine Oncology Original Article Pediatrics Physical Examination Pilot Projects Radiology Reproducibility of Results Sensitivity and Specificity Severity of Illness Index Ultrasound |
title | Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study |
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