White and grey matter development in utero assessed using motion-corrected diffusion tensor imaging and its comparison to ex utero measures
Objective Fetal brain diffusion tensor imaging (DTI) offers quantitative analysis of the developing brain. The objective was to 1) quantify DTI measures across gestation in a cohort of fetuses without brain abnormalities using full retrospective correction for fetal head motion 2) compare results ob...
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| Veröffentlicht in: | Magma (New York, N.Y.) N.Y.), 2019-08, Vol.32 (4), p.473-485 |
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| creator | Lockwood Estrin, Georgia Wu, ZhiQing Deprez, Maria Bertelsen, Álvaro Rutherford, Mary A. Counsell, Serena J. Hajnal, Joseph V. |
| description | Objective
Fetal brain diffusion tensor imaging (DTI) offers quantitative analysis of the developing brain. The objective was to 1) quantify DTI measures across gestation in a cohort of fetuses without brain abnormalities using full retrospective correction for fetal head motion 2) compare results obtained in utero to those in preterm infants.
Materials and methods
Motion-corrected DTI analysis was performed on data sets obtained at 1.5T from 32 fetuses scanned between 21.29 and 37.57 (median 31.86) weeks. Results were compared to 32 preterm infants scanned at 3T between 27.43 and 37.14 (median 33.07) weeks. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were quantified by region of interest measurements and tractography was performed.
Results
Fetal DTI was successful in 84% of fetuses for whom there was sufficient data for DTI estimation, and at least one tract could be obtained in 25 cases. Fetal FA values increased and ADC values decreased with age at scan (PLIC FA:
p
= 0.001;
R
2
= 0.469; slope = 0.011; splenium FA:
p
|
| doi_str_mv | 10.1007/s10334-019-00743-5 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6647369</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2191012174</sourcerecordid><originalsourceid>FETCH-LOGICAL-c483t-b9af95eb496d01d5cd49dec32a788b43b26d40dc68e4a0d6d114f91f021633fc3</originalsourceid><addsrcrecordid>eNp9kc-KFDEQxoO4uOPoC3iQHL1E868znYsgi6vCgpcVjyGdVPdm6U7GJL24z-BLb8YZF70IgZCqr76qyg-hV4y-ZZTu3hVGhZCEMk3aUwrSPUEbJjpOeqXYU7ShWvWk41Kco-el3FLKWUfFM3QuaK8k5XyDfn2_CRWwjR5PGe7xYmuFjD3cwZz2C8SKQ8RriyVsS4F2PF5LiBNeUg0pEpdyBldb2IdxbKkUcYVYUsZhsdNBeXAPtWCXlr3NoRwUCcPPk-8CtqwZygt0Ntq5wMvTvUXfLj9eX3wmV18_fbn4cEWc7EUlg7aj7mCQWnnKfOe81B6c4HbX94MUA1deUu9UD9JSrzxjctRsbNsrIUYntuj90Xe_Dgt415bMdjb73ObN9ybZYP7NxHBjpnRnlJI7oXQzeHMyyOnHCqWaJRQH82wjpLUYzjSjjLPGZIv4UepyKiXD-NiGUXOgaI4UTaNoflM0XSt6_feAjyV_sDWBOApKS8UJsrlNa47t0_5n-wDoVa0R</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2191012174</pqid></control><display><type>article</type><title>White and grey matter development in utero assessed using motion-corrected diffusion tensor imaging and its comparison to ex utero measures</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Lockwood Estrin, Georgia ; Wu, ZhiQing ; Deprez, Maria ; Bertelsen, Álvaro ; Rutherford, Mary A. ; Counsell, Serena J. ; Hajnal, Joseph V.</creator><creatorcontrib>Lockwood Estrin, Georgia ; Wu, ZhiQing ; Deprez, Maria ; Bertelsen, Álvaro ; Rutherford, Mary A. ; Counsell, Serena J. ; Hajnal, Joseph V.</creatorcontrib><description>Objective
Fetal brain diffusion tensor imaging (DTI) offers quantitative analysis of the developing brain. The objective was to 1) quantify DTI measures across gestation in a cohort of fetuses without brain abnormalities using full retrospective correction for fetal head motion 2) compare results obtained in utero to those in preterm infants.
Materials and methods
Motion-corrected DTI analysis was performed on data sets obtained at 1.5T from 32 fetuses scanned between 21.29 and 37.57 (median 31.86) weeks. Results were compared to 32 preterm infants scanned at 3T between 27.43 and 37.14 (median 33.07) weeks. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were quantified by region of interest measurements and tractography was performed.
Results
Fetal DTI was successful in 84% of fetuses for whom there was sufficient data for DTI estimation, and at least one tract could be obtained in 25 cases. Fetal FA values increased and ADC values decreased with age at scan (PLIC FA:
p
= 0.001;
R
2
= 0.469; slope = 0.011; splenium FA:
p
< 0.001;
R
2
= 0.597; slope = 0.019; thalamus ADC:
p
= 0.001;
R
2
= 0.420; slope = − 0.023); similar trends were found in preterm infants.
Conclusion
This study demonstrates that stable DTI is feasible on fetuses and provides evidence for normative values of diffusion properties that are consistent with aged matched preterm infants.</description><identifier>ISSN: 0968-5243</identifier><identifier>EISSN: 1352-8661</identifier><identifier>DOI: 10.1007/s10334-019-00743-5</identifier><identifier>PMID: 30864022</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Anisotropy ; Biomedical Engineering and Bioengineering ; Computer Appl. in Life Sciences ; Diffusion ; Diffusion Tensor Imaging - methods ; Female ; Fetus - diagnostic imaging ; Gray Matter - diagnostic imaging ; Gray Matter - embryology ; Gray Matter - growth & development ; Head ; Health Informatics ; Humans ; Image Processing, Computer-Assisted ; Imaging ; Infant, Newborn ; Infant, Premature ; Male ; Medicine ; Medicine & Public Health ; Motion ; Prenatal Diagnosis ; Radiology ; Research Article ; Solid State Physics ; White Matter - diagnostic imaging ; White Matter - embryology ; White Matter - growth & development</subject><ispartof>Magma (New York, N.Y.), 2019-08, Vol.32 (4), p.473-485</ispartof><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-b9af95eb496d01d5cd49dec32a788b43b26d40dc68e4a0d6d114f91f021633fc3</citedby><cites>FETCH-LOGICAL-c483t-b9af95eb496d01d5cd49dec32a788b43b26d40dc68e4a0d6d114f91f021633fc3</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/s10334-019-00743-5$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10334-019-00743-5$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30864022$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lockwood Estrin, Georgia</creatorcontrib><creatorcontrib>Wu, ZhiQing</creatorcontrib><creatorcontrib>Deprez, Maria</creatorcontrib><creatorcontrib>Bertelsen, Álvaro</creatorcontrib><creatorcontrib>Rutherford, Mary A.</creatorcontrib><creatorcontrib>Counsell, Serena J.</creatorcontrib><creatorcontrib>Hajnal, Joseph V.</creatorcontrib><title>White and grey matter development in utero assessed using motion-corrected diffusion tensor imaging and its comparison to ex utero measures</title><title>Magma (New York, N.Y.)</title><addtitle>Magn Reson Mater Phy</addtitle><addtitle>MAGMA</addtitle><description>Objective
Fetal brain diffusion tensor imaging (DTI) offers quantitative analysis of the developing brain. The objective was to 1) quantify DTI measures across gestation in a cohort of fetuses without brain abnormalities using full retrospective correction for fetal head motion 2) compare results obtained in utero to those in preterm infants.
Materials and methods
Motion-corrected DTI analysis was performed on data sets obtained at 1.5T from 32 fetuses scanned between 21.29 and 37.57 (median 31.86) weeks. Results were compared to 32 preterm infants scanned at 3T between 27.43 and 37.14 (median 33.07) weeks. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were quantified by region of interest measurements and tractography was performed.
Results
Fetal DTI was successful in 84% of fetuses for whom there was sufficient data for DTI estimation, and at least one tract could be obtained in 25 cases. Fetal FA values increased and ADC values decreased with age at scan (PLIC FA:
p
= 0.001;
R
2
= 0.469; slope = 0.011; splenium FA:
p
< 0.001;
R
2
= 0.597; slope = 0.019; thalamus ADC:
p
= 0.001;
R
2
= 0.420; slope = − 0.023); similar trends were found in preterm infants.
Conclusion
This study demonstrates that stable DTI is feasible on fetuses and provides evidence for normative values of diffusion properties that are consistent with aged matched preterm infants.</description><subject>Anisotropy</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Computer Appl. in Life Sciences</subject><subject>Diffusion</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Female</subject><subject>Fetus - diagnostic imaging</subject><subject>Gray Matter - diagnostic imaging</subject><subject>Gray Matter - embryology</subject><subject>Gray Matter - growth & development</subject><subject>Head</subject><subject>Health Informatics</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Imaging</subject><subject>Infant, Newborn</subject><subject>Infant, Premature</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Motion</subject><subject>Prenatal Diagnosis</subject><subject>Radiology</subject><subject>Research Article</subject><subject>Solid State Physics</subject><subject>White Matter - diagnostic imaging</subject><subject>White Matter - embryology</subject><subject>White Matter - growth & development</subject><issn>0968-5243</issn><issn>1352-8661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kc-KFDEQxoO4uOPoC3iQHL1E868znYsgi6vCgpcVjyGdVPdm6U7GJL24z-BLb8YZF70IgZCqr76qyg-hV4y-ZZTu3hVGhZCEMk3aUwrSPUEbJjpOeqXYU7ShWvWk41Kco-el3FLKWUfFM3QuaK8k5XyDfn2_CRWwjR5PGe7xYmuFjD3cwZz2C8SKQ8RriyVsS4F2PF5LiBNeUg0pEpdyBldb2IdxbKkUcYVYUsZhsdNBeXAPtWCXlr3NoRwUCcPPk-8CtqwZygt0Ntq5wMvTvUXfLj9eX3wmV18_fbn4cEWc7EUlg7aj7mCQWnnKfOe81B6c4HbX94MUA1deUu9UD9JSrzxjctRsbNsrIUYntuj90Xe_Dgt415bMdjb73ObN9ybZYP7NxHBjpnRnlJI7oXQzeHMyyOnHCqWaJRQH82wjpLUYzjSjjLPGZIv4UepyKiXD-NiGUXOgaI4UTaNoflM0XSt6_feAjyV_sDWBOApKS8UJsrlNa47t0_5n-wDoVa0R</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Lockwood Estrin, Georgia</creator><creator>Wu, ZhiQing</creator><creator>Deprez, Maria</creator><creator>Bertelsen, Álvaro</creator><creator>Rutherford, Mary A.</creator><creator>Counsell, Serena J.</creator><creator>Hajnal, Joseph V.</creator><general>Springer International Publishing</general><scope>C6C</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190801</creationdate><title>White and grey matter development in utero assessed using motion-corrected diffusion tensor imaging and its comparison to ex utero measures</title><author>Lockwood Estrin, Georgia ; Wu, ZhiQing ; Deprez, Maria ; Bertelsen, Álvaro ; Rutherford, Mary A. ; Counsell, Serena J. ; Hajnal, Joseph V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-b9af95eb496d01d5cd49dec32a788b43b26d40dc68e4a0d6d114f91f021633fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Anisotropy</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Computer Appl. in Life Sciences</topic><topic>Diffusion</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Female</topic><topic>Fetus - diagnostic imaging</topic><topic>Gray Matter - diagnostic imaging</topic><topic>Gray Matter - embryology</topic><topic>Gray Matter - growth & development</topic><topic>Head</topic><topic>Health Informatics</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Imaging</topic><topic>Infant, Newborn</topic><topic>Infant, Premature</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Motion</topic><topic>Prenatal Diagnosis</topic><topic>Radiology</topic><topic>Research Article</topic><topic>Solid State Physics</topic><topic>White Matter - diagnostic imaging</topic><topic>White Matter - embryology</topic><topic>White Matter - growth & development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lockwood Estrin, Georgia</creatorcontrib><creatorcontrib>Wu, ZhiQing</creatorcontrib><creatorcontrib>Deprez, Maria</creatorcontrib><creatorcontrib>Bertelsen, Álvaro</creatorcontrib><creatorcontrib>Rutherford, Mary A.</creatorcontrib><creatorcontrib>Counsell, Serena J.</creatorcontrib><creatorcontrib>Hajnal, Joseph V.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Magma (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lockwood Estrin, Georgia</au><au>Wu, ZhiQing</au><au>Deprez, Maria</au><au>Bertelsen, Álvaro</au><au>Rutherford, Mary A.</au><au>Counsell, Serena J.</au><au>Hajnal, Joseph V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>White and grey matter development in utero assessed using motion-corrected diffusion tensor imaging and its comparison to ex utero measures</atitle><jtitle>Magma (New York, N.Y.)</jtitle><stitle>Magn Reson Mater Phy</stitle><addtitle>MAGMA</addtitle><date>2019-08-01</date><risdate>2019</risdate><volume>32</volume><issue>4</issue><spage>473</spage><epage>485</epage><pages>473-485</pages><issn>0968-5243</issn><eissn>1352-8661</eissn><abstract>Objective
Fetal brain diffusion tensor imaging (DTI) offers quantitative analysis of the developing brain. The objective was to 1) quantify DTI measures across gestation in a cohort of fetuses without brain abnormalities using full retrospective correction for fetal head motion 2) compare results obtained in utero to those in preterm infants.
Materials and methods
Motion-corrected DTI analysis was performed on data sets obtained at 1.5T from 32 fetuses scanned between 21.29 and 37.57 (median 31.86) weeks. Results were compared to 32 preterm infants scanned at 3T between 27.43 and 37.14 (median 33.07) weeks. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were quantified by region of interest measurements and tractography was performed.
Results
Fetal DTI was successful in 84% of fetuses for whom there was sufficient data for DTI estimation, and at least one tract could be obtained in 25 cases. Fetal FA values increased and ADC values decreased with age at scan (PLIC FA:
p
= 0.001;
R
2
= 0.469; slope = 0.011; splenium FA:
p
< 0.001;
R
2
= 0.597; slope = 0.019; thalamus ADC:
p
= 0.001;
R
2
= 0.420; slope = − 0.023); similar trends were found in preterm infants.
Conclusion
This study demonstrates that stable DTI is feasible on fetuses and provides evidence for normative values of diffusion properties that are consistent with aged matched preterm infants.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>30864022</pmid><doi>10.1007/s10334-019-00743-5</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0968-5243 |
| ispartof | Magma (New York, N.Y.), 2019-08, Vol.32 (4), p.473-485 |
| issn | 0968-5243 1352-8661 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6647369 |
| source | MEDLINE; SpringerLink Journals |
| subjects | Anisotropy Biomedical Engineering and Bioengineering Computer Appl. in Life Sciences Diffusion Diffusion Tensor Imaging - methods Female Fetus - diagnostic imaging Gray Matter - diagnostic imaging Gray Matter - embryology Gray Matter - growth & development Head Health Informatics Humans Image Processing, Computer-Assisted Imaging Infant, Newborn Infant, Premature Male Medicine Medicine & Public Health Motion Prenatal Diagnosis Radiology Research Article Solid State Physics White Matter - diagnostic imaging White Matter - embryology White Matter - growth & development |
| title | White and grey matter development in utero assessed using motion-corrected diffusion tensor imaging and its comparison to ex utero measures |
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