Prenatal diagnosis of Miller–Dieker syndrome: Integrated application of ultrasound, MRI, and genetic analysis

To evaluate the diagnostic utility of ultrasound, magnetic resonance imaging (MRI), and Genetic Analysis in the prenatal identification of Miller–Dieker syndrome (MDS) to improve early detection and diagnostic accuracy. We conducted a retrospective analysis of four fetuses with MDS diagnosed via array comparative genomic hybridization (aCGH). The data included maternal demographics, prenatal ultrasound and MRI findings, aCGH results, and pregnancy outcomes. The four fetuses exhibited classic MDS–associated brain malformations on MRI, including lissencephaly/pachygyria. Prenatal ultrasound revealed lissencephaly/pachygyria and Sylvian fissure abnormalities in three cases, ventriculomegaly with polyhydramnios in two, fetal growth restriction in two, cavum septum pellucidum widening in one, bilateral ependymal cysts in one, and a minor omphalocele in one. Parental karyotyping confirmed de novo mutations in all cases. Pregnancy management included selective fetal reduction (n = 1) and termination (n = 3). aCGH revealed deletions (1.7–4.77 Mb) spanning the MDS–critical region (17p13.3), with all cases involving PAFAH1B1 haploinsufficiency. Notably, larger deletions were correlated with more severe neuroimaging abnormalities. Combining prenatal ultrasound with MRI effectively revealed MDS–related structural brain anomalies, while aCGH precisely delineated 17p13.3 deletions. This multimodal approach significantly enhances diagnostic accuracy, facilitating early intervention and informed genetic counseling.

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Publication Details

Journal
Journal of Radiation Research and Applied Sciences
Published
2025-08-09
DOI
https://doi.org/10.1016/j.jrras.2025.101872
Primary Topic
Genetic Syndromes and Imprinting
Type
article
Field-Weighted Citation Impact
0.00

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article

Prenatal diagnosis of Miller–Dieker syndrome: Integrated application of ultrasound, MRI, and genetic analysis

Jing Qiu, Xin‐Ying Ji, Yun‐Long Tang, Zhongxian Yang et al.
Journal of Radiation Research and Applied Sciences
Genetic Syndromes and Imprinting
article

Prenatal diagnosis of Miller–Dieker syndrome: Integrated application of ultrasound, MRI, and genetic analysis

Jing Qiu, Xin‐Ying Ji, Yun‐Long Tang, Zhongxian Yang, Hongkui Yu, Zhuo Meng, Miaomiao Zhang, Yanyan Liu, Ning Shang
article en

Abstract

To evaluate the diagnostic utility of ultrasound, magnetic resonance imaging (MRI), and Genetic Analysis in the prenatal identification of Miller–Dieker syndrome (MDS) to improve early detection and diagnostic accuracy. We conducted a retrospective analysis of four fetuses with MDS diagnosed via array comparative genomic hybridization (aCGH). The data included maternal demographics, prenatal ultrasound and MRI findings, aCGH results, and pregnancy outcomes. The four fetuses exhibited classic MDS–associated brain malformations on MRI, including lissencephaly/pachygyria. Prenatal ultrasound revealed lissencephaly/pachygyria and Sylvian fissure abnormalities in three cases, ventriculomegaly with polyhydramnios in two, fetal growth restriction in two, cavum septum pellucidum widening in one, bilateral ependymal cysts in one, and a minor omphalocele in one. Parental karyotyping confirmed de novo mutations in all cases. Pregnancy management included selective fetal reduction (n = 1) and termination (n = 3). aCGH revealed deletions (1.7–4.77 Mb) spanning the MDS–critical region (17p13.3), with all cases involving PAFAH1B1 haploinsufficiency. Notably, larger deletions were correlated with more severe neuroimaging abnormalities. Combining prenatal ultrasound with MRI effectively revealed MDS–related structural brain anomalies, while aCGH precisely delineated 17p13.3 deletions. This multimodal approach significantly enhances diagnostic accuracy, facilitating early intervention and informed genetic counseling.

Journal of Radiation Research and Applied SciencesVol. 18(4)
Shenzhen Maternity and Child Healthcare Hospital (CN), Shenzhen Bao'an District People's Hospital (CN), Southern Medical University Shenzhen Hospital (CN), Guangdong Province Women and Children Hospital (CN), Shenzhen Children's Hospital (CN)
Natural Science Foundation of Shenzhen City, Natural Science Foundation of Guangdong Province, Shenzhen Research Foundation, Shenzhen Science and Technology Innovation Program
Zero hunger
Openalex Percentile: Top 77%
Genetic Syndromes and Imprinting
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