{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T19:00:58Z","timestamp":1791054058493,"version":"4.1.0"},"reference-count":35,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2006,12,22]],"date-time":"2006-12-22T00:00:00Z","timestamp":1166745600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J of Devlp Neuroscience"],"published-print":{"date-parts":[[2007,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>In a neonatal rat model of hypoxic\u2013ischemic (HI) brain injury, using T2\u2010weighted imaging (T2WI) and diffusion\u2010weighted imaging (DWI), we aim to determine the best MRI method of lesion quantification that reflects infarct size.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>Twenty 7\u2010day\u2010old rats underwent MRI 24 h after HI brain injury was induced. Lesion size relative to whole brain was measured using T2WI and apparent diffusion coefficient (ADC) maps, applying thresholds of 60%, 70% and 80% contralateral control hemisphere mean ADC, and at day 10 post\u2010HI on pathology with TTC staining. Multiple linear regression analysis was used to study the relationships between lesion size at MRI and pathology.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Lesion size measurement using all MRI methods significantly correlated with infarct size at pathology; using T2WI,\n                      <jats:italic>r<\/jats:italic>\n                      = 0.808 (\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.001), using 80% ADC, 70% ADC and 60% ADC thresholds,\n                      <jats:italic>r<\/jats:italic>\n                      = 0.888 (\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.001), 0.761, (\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.001) and 0.569 (\n                      <jats:italic>p<\/jats:italic>\n                      = 0.014), respectively. Eighty percent ADC threshold was found to be the only significant independent predictor of final infarct volume (adjusted\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.775).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>At 24 h post\u2010HI, lesion size on DWI, using 80% ADC threshold is the best predictor of final infarct volume. Although T2WI performed less well, it has the advantage of superior spatial resolution and is technically less demanding. These are important considerations for experiments which utilize MRI as a surrogate method for lesion quantification in the neonatal rat HI model.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1016\/j.ijdevneu.2006.12.003","type":"journal-article","created":{"date-parts":[[2006,12,23]],"date-time":"2006-12-23T07:14:17Z","timestamp":1166858057000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Comparing diffusion\u2010weighted and T2\u2010weighted MR imaging for the quantification of infarct size in a neonatal rat hypoxic\u2013ischemic model at 24 h post\u2010injury"],"prefix":"10.1002","volume":"25","author":[{"given":"Yanxin","family":"Wang","sequence":"first","affiliation":[{"name":"Diagnostic Radiology University of Hong Kong Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pik\u2010To","family":"Cheung","sequence":"additional","affiliation":[{"name":"Paediatric and Adolescent Medicine University of Hong Kong Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gary X.","family":"Shen","sequence":"additional","affiliation":[{"name":"MRI Laboratory, Electrical and Electronic Engineering University of Hong Kong Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Inderjeet","family":"Bhatia","sequence":"additional","affiliation":[{"name":"Paediatric and Adolescent Medicine University of Hong Kong Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ed Xue","family":"Wu","sequence":"additional","affiliation":[{"name":"Laboratory of Biomedical Imaging and Signal Processing, Electrical and Electronic Engineering University of Hong Kong Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deqiang","family":"Qiu","sequence":"additional","affiliation":[{"name":"Diagnostic Radiology University of Hong Kong Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pek\u2010Lan","family":"Khong","sequence":"additional","affiliation":[{"name":"Diagnostic Radiology State Key Laboratory of Brain and Cognitive Sciences University of Hong Kong Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2006,12,22]]},"reference":[{"key":"e_1_2_5_2_1","doi-asserted-by":"publisher","DOI":"10.1159\/000069043"},{"key":"e_1_2_5_3_1","doi-asserted-by":"publisher","DOI":"10.1097\/00004424-199807000-00001"},{"key":"e_1_2_5_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/00004424-199904000-00001"},{"key":"e_1_2_5_5_1","doi-asserted-by":"publisher","DOI":"10.1161\/hs0901.094287"},{"key":"e_1_2_5_6_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000198867.31134.ac"},{"key":"e_1_2_5_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.brainresbull.2005.11.011"},{"key":"e_1_2_5_8_1","doi-asserted-by":"publisher","DOI":"10.1161\/hs0102.100884"},{"key":"e_1_2_5_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/jcbfm.1995.23"},{"key":"e_1_2_5_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/jcbfm.1995.126"},{"key":"e_1_2_5_11_1","doi-asserted-by":"publisher","DOI":"10.1203\/01.pdr.0000215045.91122.44"},{"key":"e_1_2_5_12_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.28.2.419"},{"key":"e_1_2_5_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0953-816X.2004.03315.x"},{"key":"e_1_2_5_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/ana.10803"},{"key":"e_1_2_5_15_1","first-page":"60","article-title":"Histopathologic correlates of temporal diffusion changes in a rat model of cerebral hypoxia\/ischemia","volume":"21","author":"Miyasaka N.","year":"2000","journal-title":"AJNR Am. 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