Neonatal brain MRI: how reliable is the radiologist’s eye?
Introduction White matter (WM) analysis in neonatal brain magnetic resonance imaging (MRI) is challenging, as demonstrated by the issue of diffuse excessive high signal intensity (DEHSI). We evaluated the reliability of the radiologist’s eye in this context. Methods Three experienced observers grade...
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| Veröffentlicht in: | Neuroradiology 2016-02, Vol.58 (2), p.189-193 |
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| creator | Morel, B. Antoni, G. Teglas, J. P. Bloch, I. Adamsbaum, C. |
| description | Introduction
White matter (WM) analysis in neonatal brain magnetic resonance imaging (MRI) is challenging, as demonstrated by the issue of diffuse excessive high signal intensity (DEHSI). We evaluated the reliability of the radiologist’s eye in this context.
Methods
Three experienced observers graded the WM signal intensity on axial T2-weighted 1.5T images from 60 different premature newborns on 2 occasions 4 weeks apart with a semi-quantitative classification under identical viewing conditions.
Results
The intra- and inter-observer correlation coefficients were fair to moderate (Fleiss’ kappa between 0.21 and 0.60).
Conclusion
This is a serious limitation of which we need to be aware, as it can lead to contradictory conclusions in the challenging context of term-equivalent age brain MRI in premature infants. These results highlight the need for a semiautomatic tool to help in objectively analyzing MRI signal intensity in the neonatal brain. |
| doi_str_mv | 10.1007/s00234-015-1609-2 |
| format | Article |
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White matter (WM) analysis in neonatal brain magnetic resonance imaging (MRI) is challenging, as demonstrated by the issue of diffuse excessive high signal intensity (DEHSI). We evaluated the reliability of the radiologist’s eye in this context.
Methods
Three experienced observers graded the WM signal intensity on axial T2-weighted 1.5T images from 60 different premature newborns on 2 occasions 4 weeks apart with a semi-quantitative classification under identical viewing conditions.
Results
The intra- and inter-observer correlation coefficients were fair to moderate (Fleiss’ kappa between 0.21 and 0.60).
Conclusion
This is a serious limitation of which we need to be aware, as it can lead to contradictory conclusions in the challenging context of term-equivalent age brain MRI in premature infants. These results highlight the need for a semiautomatic tool to help in objectively analyzing MRI signal intensity in the neonatal brain.</description><identifier>ISSN: 0028-3940</identifier><identifier>EISSN: 1432-1920</identifier><identifier>DOI: 10.1007/s00234-015-1609-2</identifier><identifier>PMID: 26494461</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analysis ; Brain ; Brain - anatomy & histology ; Brain - diagnostic imaging ; Diffusion Tensor Imaging - methods ; Female ; Human health and pathology ; Humans ; Imaging ; Infant, Newborn ; Infant, Premature ; Life Sciences ; Male ; Medicine ; Medicine & Public Health ; Neonatal care ; Neurology ; Neuroradiology ; Neurosciences ; Neurosurgery ; NMR ; Nuclear magnetic resonance ; Observer Variation ; Paediatric Neuroradiology ; Pediatrics ; Perinatal Care - methods ; Radiology ; Reproducibility of Results ; Sensitivity and Specificity ; White Matter - anatomy & histology ; White Matter - diagnostic imaging</subject><ispartof>Neuroradiology, 2016-02, Vol.58 (2), p.189-193</ispartof><rights>Springer-Verlag Berlin Heidelberg 2015</rights><rights>Springer-Verlag Berlin Heidelberg 2016</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-c552t-f875d7cf4791d399b93feaef1a9dca49e0a621a6f5681304d412fad49f68d9003</citedby><cites>FETCH-LOGICAL-c552t-f875d7cf4791d399b93feaef1a9dca49e0a621a6f5681304d412fad49f68d9003</cites><orcidid>0000-0002-5167-8044 ; 0000-0002-6984-1532</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00234-015-1609-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00234-015-1609-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26494461$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01237898$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Morel, B.</creatorcontrib><creatorcontrib>Antoni, G.</creatorcontrib><creatorcontrib>Teglas, J. P.</creatorcontrib><creatorcontrib>Bloch, I.</creatorcontrib><creatorcontrib>Adamsbaum, C.</creatorcontrib><title>Neonatal brain MRI: how reliable is the radiologist’s eye?</title><title>Neuroradiology</title><addtitle>Neuroradiology</addtitle><addtitle>Neuroradiology</addtitle><description>Introduction
White matter (WM) analysis in neonatal brain magnetic resonance imaging (MRI) is challenging, as demonstrated by the issue of diffuse excessive high signal intensity (DEHSI). We evaluated the reliability of the radiologist’s eye in this context.
Methods
Three experienced observers graded the WM signal intensity on axial T2-weighted 1.5T images from 60 different premature newborns on 2 occasions 4 weeks apart with a semi-quantitative classification under identical viewing conditions.
Results
The intra- and inter-observer correlation coefficients were fair to moderate (Fleiss’ kappa between 0.21 and 0.60).
Conclusion
This is a serious limitation of which we need to be aware, as it can lead to contradictory conclusions in the challenging context of term-equivalent age brain MRI in premature infants. These results highlight the need for a semiautomatic tool to help in objectively analyzing MRI signal intensity in the neonatal brain.</description><subject>Analysis</subject><subject>Brain</subject><subject>Brain - anatomy & histology</subject><subject>Brain - diagnostic imaging</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Female</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Infant, Newborn</subject><subject>Infant, Premature</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neonatal care</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Neurosurgery</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Observer Variation</subject><subject>Paediatric Neuroradiology</subject><subject>Pediatrics</subject><subject>Perinatal Care - methods</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>White Matter - anatomy & histology</subject><subject>White Matter - diagnostic imaging</subject><issn>0028-3940</issn><issn>1432-1920</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkd9KHTEQxoNY9PjnAbwpC97oxdaZJJtsiiAHaatwVBC9Djm7iWdlz0aTPS3e9TX6en2SZl0rUiheDcz85ptv-AjZQ_iEAPIoAlDGc8AiRwEqp2tkgpzRHBWFdTJJ4zJnisMm2YrxHgCYZHKDbFLBFecCJ-T40vrO9KbN5sE0XXZxff45W_gfWbBtY-atzZqY9QubBVM3vvV3Tex___wVM_tkT3bIB2faaHdf6ja5_frl5vQsn119Oz-dzvKqKGifu1IWtawclwprptRcMWeNdWhUXRmuLBhB0QhXiBIZ8JojdabmyomyVsn0NjkcdRem1Q-hWZrwpL1p9Nl0poceIGWyVOV3TOzByD4E_7iysdfLJla2bU1n_SpqlFIILuWz7LsoUJQFG9D9f9B7vwpdevqZKoskOtzGkaqCjzFY92oWQQ-J6TGx5LfQQ2Kapp2PL8qr-dLWrxt_I0oAHYGYRt2dDW9O_1f1DwC8nZs</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Morel, B.</creator><creator>Antoni, G.</creator><creator>Teglas, J. P.</creator><creator>Bloch, I.</creator><creator>Adamsbaum, C.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>Springer Verlag</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>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</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>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-5167-8044</orcidid><orcidid>https://orcid.org/0000-0002-6984-1532</orcidid></search><sort><creationdate>20160201</creationdate><title>Neonatal brain MRI: how reliable is the radiologist’s eye?</title><author>Morel, B. ; Antoni, G. ; Teglas, J. P. ; Bloch, I. ; Adamsbaum, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c552t-f875d7cf4791d399b93feaef1a9dca49e0a621a6f5681304d412fad49f68d9003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Analysis</topic><topic>Brain</topic><topic>Brain - anatomy & histology</topic><topic>Brain - diagnostic imaging</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Female</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Infant, Newborn</topic><topic>Infant, Premature</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neonatal care</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Neurosurgery</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Observer Variation</topic><topic>Paediatric Neuroradiology</topic><topic>Pediatrics</topic><topic>Perinatal Care - methods</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>White Matter - anatomy & histology</topic><topic>White Matter - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Morel, B.</creatorcontrib><creatorcontrib>Antoni, G.</creatorcontrib><creatorcontrib>Teglas, J. P.</creatorcontrib><creatorcontrib>Bloch, I.</creatorcontrib><creatorcontrib>Adamsbaum, C.</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>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</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>Research Library (Alumni Edition)</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>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Neuroradiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Morel, B.</au><au>Antoni, G.</au><au>Teglas, J. P.</au><au>Bloch, I.</au><au>Adamsbaum, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neonatal brain MRI: how reliable is the radiologist’s eye?</atitle><jtitle>Neuroradiology</jtitle><stitle>Neuroradiology</stitle><addtitle>Neuroradiology</addtitle><date>2016-02-01</date><risdate>2016</risdate><volume>58</volume><issue>2</issue><spage>189</spage><epage>193</epage><pages>189-193</pages><issn>0028-3940</issn><eissn>1432-1920</eissn><abstract>Introduction
White matter (WM) analysis in neonatal brain magnetic resonance imaging (MRI) is challenging, as demonstrated by the issue of diffuse excessive high signal intensity (DEHSI). We evaluated the reliability of the radiologist’s eye in this context.
Methods
Three experienced observers graded the WM signal intensity on axial T2-weighted 1.5T images from 60 different premature newborns on 2 occasions 4 weeks apart with a semi-quantitative classification under identical viewing conditions.
Results
The intra- and inter-observer correlation coefficients were fair to moderate (Fleiss’ kappa between 0.21 and 0.60).
Conclusion
This is a serious limitation of which we need to be aware, as it can lead to contradictory conclusions in the challenging context of term-equivalent age brain MRI in premature infants. These results highlight the need for a semiautomatic tool to help in objectively analyzing MRI signal intensity in the neonatal brain.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>26494461</pmid><doi>10.1007/s00234-015-1609-2</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-5167-8044</orcidid><orcidid>https://orcid.org/0000-0002-6984-1532</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis Brain Brain - anatomy & histology Brain - diagnostic imaging Diffusion Tensor Imaging - methods Female Human health and pathology Humans Imaging Infant, Newborn Infant, Premature Life Sciences Male Medicine Medicine & Public Health Neonatal care Neurology Neuroradiology Neurosciences Neurosurgery NMR Nuclear magnetic resonance Observer Variation Paediatric Neuroradiology Pediatrics Perinatal Care - methods Radiology Reproducibility of Results Sensitivity and Specificity White Matter - anatomy & histology White Matter - diagnostic imaging |
| title | Neonatal brain MRI: how reliable is the radiologist’s eye? |
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