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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Novel Quantitative Simple Brain Metric Using MR Imaging for Preterm Infants</title><author><name sortKey="Nguyen The Tich, S" sort="Nguyen The Tich, S" uniqKey="Nguyen The Tich S" first="S" last="Nguyen The Tich">S. Nguyen The Tich</name><affiliation><nlm:aff id="A1"> Centre Hospitalier Universitaire, Angers, France</nlm:aff></affiliation></author><author><name sortKey="Anderson, Pj" sort="Anderson, Pj" uniqKey="Anderson P" first="Pj" last="Anderson">Pj Anderson</name><affiliation><nlm:aff id="A2"> University of Melbourne and Murdoch Childrens Research Institute, Melbourne, Australia</nlm:aff></affiliation></author><author><name sortKey="Shimony, Js" sort="Shimony, Js" uniqKey="Shimony J" first="Js" last="Shimony">Js Shimony</name><affiliation><nlm:aff id="A3"> Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri</nlm:aff></affiliation></author><author><name sortKey="Hunt, Rw" sort="Hunt, Rw" uniqKey="Hunt R" first="Rw" last="Hunt">Rw Hunt</name><affiliation><nlm:aff id="A4"> Department of Neonatology, The Royal Children’s Hospital, Melbourne, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Doyle, Lw" sort="Doyle, Lw" uniqKey="Doyle L" first="Lw" last="Doyle">Lw Doyle</name><affiliation><nlm:aff id="A5"> The Royal Women’s Hospital, Melbourne, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Inder, Te" sort="Inder, Te" uniqKey="Inder T" first="Te" last="Inder">Te Inder</name><affiliation><nlm:aff id="A6"> Department of Pediatrics, Neurology and Radiology, Washington University School of Medicine, St. Louis, Missouri</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">18832662</idno><idno type="pmc">2818625</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2818625</idno><idno type="RBID">PMC:2818625</idno><idno type="doi">10.3174/ajnr.A1309</idno><date when="2008">2008</date><idno type="wicri:Area/Pmc/Corpus">001459</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001459</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A Novel Quantitative Simple Brain Metric Using MR Imaging for Preterm Infants</title><author><name sortKey="Nguyen The Tich, S" sort="Nguyen The Tich, S" uniqKey="Nguyen The Tich S" first="S" last="Nguyen The Tich">S. Nguyen The Tich</name><affiliation><nlm:aff id="A1"> Centre Hospitalier Universitaire, Angers, France</nlm:aff></affiliation></author><author><name sortKey="Anderson, Pj" sort="Anderson, Pj" uniqKey="Anderson P" first="Pj" last="Anderson">Pj Anderson</name><affiliation><nlm:aff id="A2"> University of Melbourne and Murdoch Childrens Research Institute, Melbourne, Australia</nlm:aff></affiliation></author><author><name sortKey="Shimony, Js" sort="Shimony, Js" uniqKey="Shimony J" first="Js" last="Shimony">Js Shimony</name><affiliation><nlm:aff id="A3"> Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri</nlm:aff></affiliation></author><author><name sortKey="Hunt, Rw" sort="Hunt, Rw" uniqKey="Hunt R" first="Rw" last="Hunt">Rw Hunt</name><affiliation><nlm:aff id="A4"> Department of Neonatology, The Royal Children’s Hospital, Melbourne, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Doyle, Lw" sort="Doyle, Lw" uniqKey="Doyle L" first="Lw" last="Doyle">Lw Doyle</name><affiliation><nlm:aff id="A5"> The Royal Women’s Hospital, Melbourne, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Inder, Te" sort="Inder, Te" uniqKey="Inder T" first="Te" last="Inder">Te Inder</name><affiliation><nlm:aff id="A6"> Department of Pediatrics, Neurology and Radiology, Washington University School of Medicine, St. Louis, Missouri</nlm:aff></affiliation></author></analytic><series><title level="j">AJNR. American journal of neuroradiology</title><idno type="ISSN">0195-6108</idno><idno type="eISSN">1936-959X</idno><imprint><date when="2008">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background and Purpose</title><p id="P1">The application of volumetric techniques to preterm infants has revealed brain volume reductions. Such quantitative data are not available in routine neonatal radiological care. The objective of this study was to develop simple brain metrics to compare brain size in preterm and term infants, and correlate these metrics with brain volumes from volumetric MR techniques.</p></sec><sec sec-type="methods" id="S2"><title>Methods</title><p id="P2">MR images from 189 preterm infants <30 weeks’ gestational age or <1250 g birthweight scanned at term-equivalent age and 36 term infants were studied. Fifteen tissue and fluid measures were systematically evaluated on 4 selected slices. The results were correlated with total brain, grey matter, white matter and CSF volumes.</p></sec><sec id="S3"><title>Results</title><p id="P3">The mean bifrontal, biparietal and transverse cerebellar diameters were reduced (−11.6 %; CI= −13.8 to −9.3%; −12%, −14 to −9.8% and −8.7%, −10.5 to −7% respectively) and the mean left ventricle diameter was increased (+22.3%; 2.9 to 41.6%) in preterm infants (p<0.01). Strong correlations were found between the bifrontal and biparietal measures with total brain tissue volume, while the size of the ventricles and the interhemispheric measure correlated with CSF volume. Intra-observer reliability was high (ICC >0.7), while inter-observer agreement was acceptable for tissue measures (ICC >0.6) but lower for fluid measures (ICC <0.4)</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">Simple brain metrics at term-equivalent age showed smaller brain diameters and increased ventricle size in preterm infants compared with full term infants. These measures represent a reliable and easily applicable method to quantify brain growth and assess brain atrophy in this at-risk population.</p></sec></div></front></TEI><pmc article-type="research-article" xml:lang="EN"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8003708</journal-id><journal-id journal-id-type="pubmed-jr-id">379</journal-id><journal-id journal-id-type="nlm-ta">AJNR Am J Neuroradiol</journal-id><journal-title>AJNR. American journal of neuroradiology</journal-title><issn pub-type="ppub">0195-6108</issn><issn pub-type="epub">1936-959X</issn></journal-meta><article-meta><article-id pub-id-type="pmid">18832662</article-id><article-id pub-id-type="pmc">2818625</article-id><article-id pub-id-type="doi">10.3174/ajnr.A1309</article-id><article-id pub-id-type="manuscript">NIHMS163431</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>A Novel Quantitative Simple Brain Metric Using MR Imaging for Preterm Infants</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Nguyen The Tich</surname><given-names>S</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Anderson</surname><given-names>PJ</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Shimony</surname><given-names>JS</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Hunt</surname><given-names>RW</given-names></name><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Doyle</surname><given-names>LW</given-names></name><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Inder</surname><given-names>TE</given-names></name><xref rid="A6" ref-type="aff">6</xref></contrib></contrib-group><aff id="A1"><label>1</label> Centre Hospitalier Universitaire, Angers, France</aff><aff id="A2"><label>2</label> University of Melbourne and Murdoch Childrens Research Institute, Melbourne, Australia</aff><aff id="A3"><label>3</label> Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri</aff><aff id="A4"><label>4</label> Department of Neonatology, The Royal Children’s Hospital, Melbourne, Victoria, Australia</aff><aff id="A5"><label>5</label> The Royal Women’s Hospital, Melbourne, Victoria, Australia</aff><aff id="A6"><label>6</label> Department of Pediatrics, Neurology and Radiology, Washington University School of Medicine, St. Louis, Missouri</aff><author-notes><corresp id="FN1">Corresponding author: Sylvie Nguyen The Tich, Pediatric Neurology Unit, University Hospital, 4 rue Larrey, F-49000 ANGERS, France, <email>synguyen@chu-angers.fr</email>, phone 33 2 41 35 48 46, fax 33 2 41 35 55 01</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>8</day><month>12</month><year>2009</year></pub-date><pub-date pub-type="epub"><day>2</day><month>10</month><year>2008</year></pub-date><pub-date pub-type="ppub"><month>1</month><year>2009</year></pub-date><pub-date pub-type="pmc-release"><day>9</day><month>2</month><year>2010</year></pub-date><volume>30</volume><issue>1</issue><fpage>125</fpage><abstract><sec id="S1"><title>Background and Purpose</title><p id="P1">The application of volumetric techniques to preterm infants has revealed brain volume reductions. Such quantitative data are not available in routine neonatal radiological care. The objective of this study was to develop simple brain metrics to compare brain size in preterm and term infants, and correlate these metrics with brain volumes from volumetric MR techniques.</p></sec><sec sec-type="methods" id="S2"><title>Methods</title><p id="P2">MR images from 189 preterm infants <30 weeks’ gestational age or <1250 g birthweight scanned at term-equivalent age and 36 term infants were studied. Fifteen tissue and fluid measures were systematically evaluated on 4 selected slices. The results were correlated with total brain, grey matter, white matter and CSF volumes.</p></sec><sec id="S3"><title>Results</title><p id="P3">The mean bifrontal, biparietal and transverse cerebellar diameters were reduced (−11.6 %; CI= −13.8 to −9.3%; −12%, −14 to −9.8% and −8.7%, −10.5 to −7% respectively) and the mean left ventricle diameter was increased (+22.3%; 2.9 to 41.6%) in preterm infants (p<0.01). Strong correlations were found between the bifrontal and biparietal measures with total brain tissue volume, while the size of the ventricles and the interhemispheric measure correlated with CSF volume. Intra-observer reliability was high (ICC >0.7), while inter-observer agreement was acceptable for tissue measures (ICC >0.6) but lower for fluid measures (ICC <0.4)</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">Simple brain metrics at term-equivalent age showed smaller brain diameters and increased ventricle size in preterm infants compared with full term infants. These measures represent a reliable and easily applicable method to quantify brain growth and assess brain atrophy in this at-risk population.</p></sec></abstract><kwd-group><kwd>Newborn brain</kwd><kwd>MR imaging</kwd><kwd>Brain measures</kwd></kwd-group><contract-num rid="HD1">K23 HD053212-03
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