Risk Stratification for Pregnancies Diagnosed With Fetal Growth Restriction Based on Placental <scp>MRI</scp>
Risk Stratification for Pregnancies Diagnosed With Fetal Growth Restriction Based on Placental <scp>MRI</scp>
复制标题
基于胎盘 <scp>MRI</scp> 诊断胎儿生长受限的妊娠风险分层
DOI:
10.1002/jmri.28298
复制
发表时间:
2022
影响因子:
4.4
通讯作者:
Nakamoto Yuji
中科院分区:
文献类型:
--
作者:
Himoto Yuki;Fujimoto Koji;Kido Aki;Otani Satoshi;Matsumoto Yuka Kuriyama;Mogami Haruta;Nakao Kyoko Kameyama;Kurata Yasuhisa;Moribata Yusaku;Chigusa Yoshitsugu;Minamiguchi Sachiko;Mandai Masaki;Nakamoto Yuji
BackgroundDiagnosis 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.PurposeTo 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.Study TypeRetrospective.PopulationThirteen pregnancies with unfavorable outcomes (preterm emergency cesarean section or intrauterine fetal death) and 11 pregnancies with favorable outcomes performed MRI at gestational weeks 21–36.Field Strength/SequenceA 5‐T, half‐Fourier‐acquired single‐shot turbo spin echo (HASTE), spin‐echo echo‐planar imaging (SE‐EPI) and T2 map derived from SE‐EPI.AssessmentPlacental size on HASTE sequences and T2 mapping‐based histogram features were extracted. Three radiologists qualitatively evaluated the visibility of maternal cotyledon on HASTE and SE‐EPI sequences with echo times (TEs) = 60, 90, and 120 msec using 3‐point Likert scales: 0, absent; 1, equivocal; and 2, present.Statistical TestsWelch's t‐test or Mann–Whitney 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. APvalue of <0.05 was inferred as statistically significant.ResultsPlacental size (major and minor axis, estimated area of placental bed, and volume of placenta) and T2 mapping‐based histogram features (mean, skewness, and kurtosis) were statistically significantly different between the two groups. Visual analysis of HASTE and SE‐EPI with TE = 60 msec showed AUCs of 0.80–0.86 to detect pregnancies with unfavorable outcomes.Data ConclusionPlacental size, histogram features, and visual analysis of placental MRI may allow for risk stratification regarding outcomes among pregnancies diagnosed with FGR.Evidence Level3Technical EfficacyStage 5