Diagnosis of abnormalities of fetus with oligohydramnios by MRI

DONG Su-zhen; ZHU Ming; MAO Jian-ping; ZHONG Yu-min; GU Xiao-hong

Journal of China Clinic Medical Imaging ›› 2008, Vol. 19 ›› Issue (1) : 51-55.

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Diagnosis of abnormalities of fetus with oligohydramnios by MRI

DONG Su-zhen1, ZHU Ming1, MAO Jian-ping2, ZHONG Yu-min1, GU Xiao-hong1

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Abstract

Objective: To evaluate the value of MRI on abnormalities of fetus with oligohydramnios. Methods: The prenatal MR images of 18 women with oligohydramnios diagnosed at US were analyzed retrospectively and compared with prenatal ultrasounds or autopsy or postnatal follow-up imaging examinations. Calculation of the ratio of lung signal intensity to liver signal intensity(LLSIR) was performed on MR images by using region-of-interest analysis. t test was performed. Results: MRI can clearly display all normal structures and abnormalities of 18 fetuses with oligohydramnios. The abnormalities of 18 fetuses with oligohydramnios included genitourinary anomaly(n=13), cystic abdominal mass (n=2), central nervous system abnormality(n=1), normal fetus(n=2). The anomalies of 13 fetuses with genitourinary anomaly associated with pulmonary hypoplasia(n=6), cardiac anomaly complicated with pulmonary hypoplasia(n=2), sirenomelia sequence (n=1), central nervous system abnormality(n=1), single umbilical artery(n=1). MRI findings were confirmed in 15 of the 18 fetuses at autopsy or postnatal follow-up; no follow-up data were available for the other 3 fetuses. Conclusion: Prenatal MRI is effective in the assessment of anomalies of fetuses with oligohydramnios. It can accurately diagnose abnormalities of fetus kidneys and fetus lungs with oligohydramnios and is a useful complementary tool to US, particularly in cases with inconclusive sonographic findings.

Key words

Abnormalities / Fetus / Oligohydramnios / Magnetic resonance imaging

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DONG Su-zhen;ZHU Ming;MAO Jian-ping;ZHONG Yu-min;GU Xiao-hong. Diagnosis of abnormalities of fetus with oligohydramnios by MRI[J]. Journal of China Clinic Medical Imaging. 2008, 19(1): 51-55