{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T02:29:14Z","timestamp":1793500154076,"version":"4.5.0"},"reference-count":44,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T00:00:00Z","timestamp":1733788800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Annals of Neurology"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Neonatal hypoxic\u2010ischemic encephalopathy is a serious neurologic condition associated with death or neurodevelopmental impairments. Magnetic resonance imaging (MRI) is routinely used for neuroprognostication, but there is substantial subjectivity and uncertainty about neurodevelopmental outcome prediction. We sought to develop an objective and automated approach for the analysis of newborn brain MRI to improve the accuracy of prognostication.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We created an anatomic MRI template from a sample of 286 infants treated with therapeutic hypothermia, and labeled the deep gray\u2010matter structures. We extracted quantitative information, including shape\u2010related information, and information represented by complex patterns (radiomic measures), from each of these structures in all infants. We then trained an elastic net model to use either only these measures, only the infants\u2019 demographic and laboratory data, or both, to predict neurodevelopmental outcomes, as measured by the Bayley Scales of Infant and Toddler Development at 18\u2009months of age.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among those infants for whom Bayley scores were available for cognitive, language, and motor outcomes, we found sets of MRI\u2010based measures that could predict their Bayley scores with correlations that were greater than the correlations based on only the demographic and laboratory data, explained more of the variance in the observed scores, and generated a smaller error; predictions based on the combination of the demographic\u2010laboratory and MRI\u2010based measures were similar or marginally better.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Interpretation<\/jats:title>\n                    <jats:p>Our findings show that machine learning models using MRI\u2010based measures can predict neurodevelopmental outcomes in neonates with hypoxic\u2010ischemic encephalopathy across all neurodevelopmental domains and across the full spectrum of outcomes. ANN NEUROL 2025;97:791\u2013802<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ana.27154","type":"journal-article","created":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T06:15:53Z","timestamp":1733811353000},"page":"791-802","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Automated Neuroprognostication Via Machine Learning in Neonates with Hypoxic\u2010Ischemic Encephalopathy"],"prefix":"10.1002","volume":"97","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0832-7396","authenticated-orcid":false,"given":"John D.","family":"Lewis","sequence":"first","affiliation":[{"name":"Program in Neuroscience and Mental Health, SickKids Research Institute  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atiyeh A.","family":"Miran","sequence":"additional","affiliation":[{"name":"Division of Neonatology, Department of Paediatrics The Hospital for Sick Children, University of Toronto  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle","family":"Stoopler","sequence":"additional","affiliation":[{"name":"Department of Paediatrics The Hospital for Sick Children, University of Toronto  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helen M.","family":"Branson","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology The Hospital for Sick Children, University of Toronto  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashley","family":"Danguecan","sequence":"additional","affiliation":[{"name":"Division of Neonatology, Department of Paediatrics The Hospital for Sick Children, University of Toronto  Toronto Canada"},{"name":"Department of Psychology The Hospital for Sick Children, University of Toronto  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krishna","family":"Raghu","sequence":"additional","affiliation":[{"name":"Division of Neonatology, Department of Paediatrics The Hospital for Sick Children, University of Toronto  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linh G.","family":"Ly","sequence":"additional","affiliation":[{"name":"Division of Neonatology, Department of Paediatrics The Hospital for Sick Children, University of Toronto  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehmet N.","family":"Cizmeci","sequence":"additional","affiliation":[{"name":"Division of Neonatology, Department of Paediatrics The Hospital for Sick Children, University of Toronto  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian T.","family":"Kalish","sequence":"additional","affiliation":[{"name":"Program in Neuroscience and Mental Health, SickKids Research Institute  Toronto Canada"},{"name":"Division of Neonatology, Department of Paediatrics The Hospital for Sick Children, University of Toronto  Toronto Canada"},{"name":"Department of Molecular Genetics University of Toronto  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,12,10]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/MOP.0000000000000199"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1315788"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/archpediatrics.2012.284"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamapediatrics.2019.4011"},{"key":"e_1_2_9_6_1","first-page":"57","article-title":"Hypoxic\u2010ischemic encephalopathy and other neonatal encephalopathies. CONTINUUM: lifelong learning","volume":"24","author":"Glass HC","year":"2018","journal-title":"Neurology"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1159\/000348823"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/children5070099"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/apa.14821"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2009-2441"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(24)00038-3"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1136\/archdischild-2020-321309"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1136\/archdischild-2016-310514"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.3109\/14767058.2015.1018167"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/ped.12008"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.earlhumdev.2010.08.013"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(09)70295-9"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1136\/archdischild-2011-301524"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2017.09.043"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1159\/000505519"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clp.2021.11.016"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.1976.00500100030012"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1651-2227.1997.tb08581.x"},{"key":"e_1_2_9_24_1","first-page":"2825","article-title":"Scikit\u2010learn: machine learning in python","volume":"12","author":"Pedregosa F","year":"2011","journal-title":"J Mach Learn Res"},{"key":"e_1_2_9_25_1","first-page":"1","article-title":"Mice: multivariate imputation by chained equations in R","volume":"45","author":"Van Buuren S","year":"2011","journal-title":"J Stat Softw"},{"key":"e_1_2_9_26_1","volume-title":"Multivariate imputation by chained equations","author":"Van Buuren S","year":"2000"},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.22003"},{"key":"e_1_2_9_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2046908"},{"key":"e_1_2_9_29_1","first-page":"1","article-title":"Advanced normalization tools (ANTS)","volume":"2","author":"Avants BB","year":"2009","journal-title":"Insight J"},{"key":"e_1_2_9_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2010.05.010"},{"key":"e_1_2_9_31_1","doi-asserted-by":"publisher","DOI":"10.1101\/2024.01.18.576325"},{"key":"e_1_2_9_32_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2015151169"},{"key":"e_1_2_9_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2020.06.008"},{"key":"e_1_2_9_34_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-16066-w"},{"key":"e_1_2_9_35_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-02425-5"},{"key":"e_1_2_9_36_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"e_1_2_9_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2021.07.003"},{"key":"e_1_2_9_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pediatrneurol.2021.10.005"},{"key":"e_1_2_9_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pediatrneurol.2020.11.015"},{"key":"e_1_2_9_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2021.01.050"},{"key":"e_1_2_9_41_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41390-023-02510-8"},{"key":"e_1_2_9_42_1","first-page":"1","article-title":"The predictive role of brain magnetic resonance imaging in neonates with hypoxic\u2010ischemic encephalopathy","volume":"95","author":"Cizmeci MN","year":"2023","journal-title":"Pediatr Res"},{"key":"e_1_2_9_43_1","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/123.3.499"},{"key":"e_1_2_9_44_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2012-1297"},{"key":"e_1_2_9_45_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2009-1046"}],"container-title":["Annals of Neurology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/ana.27154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T19:23:01Z","timestamp":1741720981000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ana.27154"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,10]]},"references-count":44,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["10.1002\/ana.27154"],"URL":"https:\/\/doi.org\/10.1002\/ana.27154","archive":["Portico"],"relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2024.05.07.24306996","asserted-by":"object"}]},"ISSN":["0364-5134","1531-8249"],"issn-type":[{"value":"0364-5134","type":"print"},{"value":"1531-8249","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,10]]},"assertion":[{"value":"2024-03-20","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-25","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-12-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}