Cannie Mieke, Jani Jacques C, De Keyzer Frederik, Devlieger Roland, Van Schoubroeck Dominique, Witters Ingrid, Marchal Guy, Dymarkowski Steven, Deprest Jan A
Department of Radiology, University Hospital Gasthuisberg, Herestraat 49, 3000 Leuven, Belgium.
Radiology. 2006 Dec;241(3):847-53. doi: 10.1148/radiol.2413051228. Epub 2006 Oct 19.
To retrospectively determine an algorithm based on fetal body volume (FBV) by using magnetic resonance (MR) imaging to calculate relative lung volume in fetuses with normally developed lungs and prospectively assess the use of this algorithm in predicting pulmonary hypoplasia in the late second and early third trimesters for fetuses at risk for pulmonary hypoplasia.
Oral informed consent was obtained for the prospective component of this ethics committee-approved study. MR imaging lung volumetry was performed in 36 fetuses with normally developed lungs between 18 and 39 weeks gestational age by using T2-weighted single-shot fast spin-echo imaging in fetal transverse and sagittal planes. Findings were then correlated with biometric variables and gestational age. The best-performing algorithm was applied to 37 fetuses (between 18 and 29 weeks gestational age) at risk for pulmonary hypoplasia to determine observed-expected lung volume ratio. This group was stratified according to pregnancy management, and observed-expected ratios were correlated with outcome. In fetuses with isolated congenital diaphragmatic hernia (CDH) (n = 19), observed-expected ratio was correlated with lung-head ratio, neonatal survival in pregnancies managed expectantly (n = 13), and/or lung-body weight ratio at necropsy (n = 9). For that purpose, linear regression correlation was used with the Pearson correlation coefficient; P < .05 was considered to indicate a significant difference.
Total fetal lung volume correlated best with total FBV (r = 0.96, P < .05). Observed-expected ratio based on FBV correlated with lung-head ratio in patients with CDH (r = 0.71, P < .001) and with lung-body weight ratio at necropsy (r = 0.68, P < .05) and could be used to help predict neonatal survival.
FBV measured with MR imaging can be used as a single parameter in an algorithm and showed closest correlation with normal total fetal lung volume. In the transition from second to third trimester, this algorithm enabled calculation of the observed-expected ratio and prediction of outcome in fetuses at risk for pulmonary hypoplasia.
通过磁共振(MR)成像回顾性确定基于胎儿身体体积(FBV)的算法,以计算肺部发育正常胎儿的相对肺体积,并前瞻性评估该算法在预测孕中期晚期和孕晚期早期有肺发育不全风险胎儿的肺发育不全情况中的应用。
对于本伦理委员会批准研究的前瞻性部分,已获得口头知情同意。对36例孕龄在18至39周之间肺部发育正常的胎儿进行MR成像肺容积测量,采用胎儿横断和矢状面的T2加权单次激发快速自旋回波成像。然后将结果与生物测量变量和孕龄相关联。将表现最佳的算法应用于37例有肺发育不全风险的胎儿(孕龄在18至29周之间),以确定观察到的预期肺体积比。该组根据妊娠管理进行分层,观察到的预期比值与结局相关。在孤立性先天性膈疝(CDH)胎儿(n = 19)中,观察到的预期比值与肺头比、期待治疗妊娠中的新生儿存活率(n = 13)和/或尸检时的肺体重比(n = 9)相关。为此,使用线性回归相关性和Pearson相关系数;P <.05被认为表示有显著差异。
胎儿肺总体积与FBV总体积相关性最佳(r = 0.96,P <.05)。基于FBV的观察到的预期比值与CDH患者的肺头比(r = 0.71,P <.001)以及尸检时的肺体重比(r = 0.68,P <.05)相关,可用于帮助预测新生儿存活率。
通过MR成像测量的FBV可作为算法中的单一参数,并且与正常胎儿肺总体积显示出最密切的相关性。在从孕中期到孕晚期的过渡阶段,该算法能够计算观察到的预期比值并预测有肺发育不全风险胎儿的结局。