{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T01:16:22Z","timestamp":1780103782962,"version":"3.54.0"},"reference-count":23,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2022,6,17]],"date-time":"2022-06-17T00:00:00Z","timestamp":1655424000000},"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":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Diagnosis of fetal growth restriction (FGR) entails difficulties with differentiating fetuses not fulfilling their growth potential because of pathologic conditions, such as placental insufficiency, from constitutionally small fetuses. The feasibility of placental MRI for risk stratification among pregnancies diagnosed with FGR remains unexplored.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To explore quantitative MRI features useful to identify pregnancies with unfavorable outcomes and to assess the diagnostic performance of visual analysis of MRI to detect pregnancies with unfavorable outcomes, among pregnancies diagnosed with FGR.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>Thirteen pregnancies with unfavorable outcomes (preterm emergency cesarean section or intrauterine fetal death) and 11 pregnancies with favorable outcomes performed MRI at gestational weeks 21\u201336.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p><jats:styled-content style=\"fixed-case\">A 5\u2010T<\/jats:styled-content>, half<jats:styled-content style=\"fixed-case\">\u2010Fourier<\/jats:styled-content>\u2010acquired single\u2010shot turbo spin echo (<jats:styled-content style=\"fixed-case\">HASTE<\/jats:styled-content>), spin\u2010echo echo\u2010planar imaging (<jats:styled-content style=\"fixed-case\">SE\u2010EPI<\/jats:styled-content>) and <jats:styled-content style=\"fixed-case\">T2<\/jats:styled-content> map derived from <jats:styled-content style=\"fixed-case\">SE\u2010EPI<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Placental size on HASTE sequences and T2 mapping\u2010based histogram features were extracted. Three radiologists qualitatively evaluated the visibility of maternal cotyledon on HASTE and SE\u2010EPI sequences with echo times (TEs)\u00a0=\u00a060, 90, and 120\u2009msec using 3\u2010point Likert scales: 0, absent; 1, equivocal; and 2, present.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Welch's t\u2010test or Mann\u2013Whitney U test for quantitative features between the favorable and unfavorable outcome groups. Areas under the receiver operating curves (AUCs) of the three readers' visual analyses to detect pregnancies with unfavorable outcomes. A <jats:italic>P<\/jats:italic> value of &lt;0.05 was inferred as statistically significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Placental size (major and minor axis, estimated area of placental bed, and volume of placenta) and T2 mapping\u2010based histogram features (mean, skewness, and kurtosis) were statistically significantly different between the two groups. Visual analysis of HASTE and SE\u2010EPI with TE\u00a0=\u00a060\u2009msec showed AUCs of 0.80\u20130.86 to detect pregnancies with unfavorable outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>Placental size, histogram features, and visual analysis of placental MRI may allow for risk stratification regarding outcomes among pregnancies diagnosed with FGR.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>3<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 5<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.28298","type":"journal-article","created":{"date-parts":[[2022,6,17]],"date-time":"2022-06-17T12:37:41Z","timestamp":1655469461000},"page":"1650-1658","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Risk Stratification for Pregnancies Diagnosed With Fetal Growth Restriction Based on Placental <scp>MRI<\/scp>"],"prefix":"10.1002","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8508-8221","authenticated-orcid":false,"given":"Yuki","family":"Himoto","sequence":"first","affiliation":[{"name":"Department of Diagnostic Radiology and Nuclear Medicine Kyoto University Hospital  Kyoto Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koji","family":"Fujimoto","sequence":"additional","affiliation":[{"name":"Department of Real World Data Research and Development, Graduate School of Medicine Kyoto University  Kyoto Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5131-2870","authenticated-orcid":false,"given":"Aki","family":"Kido","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine Kyoto University  Kyoto 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