{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T07:07:32Z","timestamp":1784185652235,"version":"3.55.0"},"reference-count":48,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["NMR in Biomedicine"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Adequate placental structure and function are crucial for fetal growth, while placental dysfunction often leads to fetal growth restriction (FGR), associated with increased perinatal morbidity and mortality. Current FGR criteria, relying on sonographic biometry and Doppler assessments, typically fall short in sensitivity for diagnosing FGR, predicting perinatal outcomes, and assessing their association with placental pathology. Advanced MRI methods offer a unique opportunity to characterize placental structure and perfusion, and to assess their relationship with fetal growth. This study aims to provide normative quantitative MRI values of placental structure and perfusion during the third trimester, to assess their interplay and association with fetal growth, and to identify differences between appropriate\u2010for\u2010gestational\u2010age (AGA) and FGR\u2010complicated pregnancies. With IRB approval, pregnant women between 30 and 37\u2009weeks of gestation (AGA [\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200946], FGR [\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200911]) underwent prospective MRI. Placental structure (volume; umbilical\u2010cord centricity\u2010index [CI]), placental perfusion (placental\u2010blood\u2010flow [PBF] and arterial\u2010transit\u2010time [ATT] extracted from arterial\u2010spin\u2010labeling), fetal growth (estimated body weight and brain volume), and radiomics features derived from PBF and ATT maps were assessed using deep\u2010learning and image\u2010processing tools. Statistical analyses included Pearson correlation, analysis of covariance with gestational\u2010age (GA) as a covariate, non\u2010parametric tests, logistic regression, multistep feature selection, and false discovery rate correction. Fetal growth parameters correlated with GA in both groups and were significantly reduced in FGR. Mean perfusion values of AGA placentas were significantly higher than previously reported at earlier GA using the same method. Placental volume correlated with ATT and total placental flow (mean PBF\u2009\u00d7\u2009placental volume\/100) in AGA fetuses. Total placental flow was significantly lower in FGR compared with AGA. CI and two ATT radiomics features contributed most to differentiating AGA from FGR, with higher CI in FGR. Our findings highlight CI as a potential marker for growth restriction. Larger studies are needed to better characterize perfusion alterations in FGR.\n                  <\/jats:p>","DOI":"10.1002\/nbm.70346","type":"journal-article","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T04:19:45Z","timestamp":1782965985000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["In Vivo Assessment of Placental Structure and Perfusion in Late\u2010Gestation Pregnancies and Their Association With Fetal Growth"],"prefix":"10.1002","volume":"39","author":[{"given":"Daphna","family":"Link\u2010Sourani","sequence":"first","affiliation":[{"name":"Sagol Brain Institute Tel Aviv Sourasky University Medical Center  Tel Aviv Israel"},{"name":"May\u2010Blum\u2010Dahl Technion Human MRI Research Center, Technion \u2010 IIT  Haifa Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Netanell","family":"Avisdris","sequence":"additional","affiliation":[{"name":"Sagol Brain Institute Tel Aviv Sourasky University Medical Center  Tel Aviv Israel"},{"name":"School of Computer Science and Engineering The Hebrew University of Jerusalem  Jerusalem Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4130-6204","authenticated-orcid":false,"given":"Xingfeng","family":"Shao","sequence":"additional","affiliation":[{"name":"Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dana","family":"Schonberger","sequence":"additional","affiliation":[{"name":"Sagol Brain Institute Tel Aviv Sourasky University Medical Center  Tel Aviv Israel"},{"name":"School of Mechanical Engineering Tel Aviv University  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9406-6523","authenticated-orcid":false,"given":"Aviad","family":"Rabinowich","sequence":"additional","affiliation":[{"name":"Sagol Brain Institute Tel Aviv Sourasky University Medical Center  Tel Aviv Israel"},{"name":"Department of Radiology Tel Aviv Sourasky University Medical Center  Tel Aviv Israel"},{"name":"Gray Faculty of Medical &amp; Health Sciences Tel Aviv University  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bella Spector","family":"Fadida","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering The Hebrew University of Jerusalem  Jerusalem Israel"},{"name":"Department of Medical Imaging Sciences University of Haifa  Haifa Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yair","family":"Wexler","sequence":"additional","affiliation":[{"name":"School of Neurobiology, Biochemistry and Biophysics The George S. Wise Faculty of Life Sciences, Tel\u2010Aviv University  Tel\u2010Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leo","family":"Joskowicz","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering The Hebrew University of Jerusalem  Jerusalem Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liat Ben","family":"Sira","sequence":"additional","affiliation":[{"name":"Department of Radiology Tel Aviv Sourasky University Medical Center  Tel Aviv Israel"},{"name":"Gray Faculty of Medical &amp; Health Sciences Tel Aviv University  Tel Aviv Israel"},{"name":"Sagol School of Neuroscience Tel Aviv University  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liran","family":"Hiersch","sequence":"additional","affiliation":[{"name":"Gray Faculty of Medical &amp; Health Sciences Tel Aviv University  Tel Aviv Israel"},{"name":"Department of Maternal\u2010Fetal Medicine and High Risk Pregnancy Outpatient Clinic Tel Aviv Sourasky University Medical Center  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danny J. J.","family":"Wang","sequence":"additional","affiliation":[{"name":"Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8396-1031","authenticated-orcid":false,"given":"Dafna Ben","family":"Bashat","sequence":"additional","affiliation":[{"name":"Sagol Brain Institute Tel Aviv Sourasky University Medical Center  Tel Aviv Israel"},{"name":"Gray Faculty of Medical &amp; Health Sciences Tel Aviv University  Tel Aviv Israel"},{"name":"Sagol School of Neuroscience Tel Aviv University  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,1]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.semperi.2009.04.005"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/0002\u20109378(95)91325\u20104"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.4137\/CMPed.S40070"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.22134"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.21940"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.24977"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1055\/s\u20100037\u20101615285"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.placenta.2022.02.023"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwi305"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.placenta.2020.08.001"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.2350\/15\u201004\u20101621\u2010OA.1"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13643\u2010017\u20100641\u20101"},{"key":"e_1_2_12_14_1","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/341251"},{"key":"e_1_2_12_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.placenta.2022.01.005"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00247\u2010024\u201006151\u20109"},{"key":"e_1_2_12_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010017\u201003450\u20100"},{"key":"e_1_2_12_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27733"},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.25893"},{"key":"e_1_2_12_20_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27548"},{"key":"e_1_2_12_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28240"},{"key":"e_1_2_12_22_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27950"},{"key":"e_1_2_12_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.expneurol.2021.113868"},{"key":"e_1_2_12_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27100"},{"key":"e_1_2_12_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.placenta.2024.03.012"},{"key":"e_1_2_12_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.placenta.2023.02.007"},{"key":"e_1_2_12_27_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.29399"},{"key":"e_1_2_12_28_1","doi-asserted-by":"publisher","DOI":"10.1159\/000475548"},{"key":"e_1_2_12_29_1","doi-asserted-by":"publisher","DOI":"10.1159\/000438451"},{"key":"e_1_2_12_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330\u2010023\u201010038\u2010y"},{"key":"e_1_2_12_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41372\u2010022\u201001340\u20106"},{"key":"e_1_2_12_32_1","doi-asserted-by":"publisher","DOI":"10.12998\/wjcc.v11.i16.3725"},{"key":"e_1_2_12_33_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.15884"},{"key":"e_1_2_12_34_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.23698"},{"key":"e_1_2_12_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.01.015"},{"key":"e_1_2_12_36_1","first-page":"189","article-title":"A Bootstrap Self\u2010Training Method for Sequence Transfer: State\u2010of\u2010the\u2010Art Placenta Segmentation in Fetal MRI","volume":"12959","author":"Specktor\u2010Fadida B.","year":"2021","journal-title":"Springer Science and Business Media Deutschland GmbH"},{"key":"e_1_2_12_37_1","unstructured":"O. 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