EP05.49: Early detection matters: prenatal diagnosis of lissencephaly in a primigravida

Lissencephaly, a rare brain malformation characterised by smooth brain surfaces due to abnormal neuronal migration, is typically diagnosed postnatally. We present a case of prenatal diagnosis in a 22-year-old primigravida at 32 weeks of gestation. Initial ultrasound findings revealed absence of the corpus callosum, an abnormally large and dilated third ventricle, loss of gyri (pachygyria), and lack of cerebral neuronal maturation. Subsequent MRI confirmed the diagnosis. MRI fetal reported bilateral symmetrical temporo-posterior dominant lissencephaly complex with hypomyelination, corpus callosum agenesis. The couple was counselled for amniocentesis to assess the ARX gene. The patient opted for termination of pregnancy, which was carried out at 35 weeks at the same time of amniocentesis. This case underscores the challenges and importance of early diagnosis and counselling for fetal central nervous system abnormalities. Advanced ultrasound technology and updated neurosonogram guidelines by the ISUOG allow for suspected lissencephaly to be evaluated and confirmed antenatally. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Authors

Institutions

Publication Details

Journal
Ultrasound in Obstetrics and Gynecology
Published
2024-09-01
DOI
https://doi.org/10.1002/uog.28152
Primary Topic
Metabolism and Genetic Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EP05.49: Early detection matters: prenatal diagnosis of lissencephaly in a primigravida

Hasyma Abu Hassan, V.L. Velayudham, S. Abu Hanet, W.C. Chua
Ultrasound in Obstetrics and Gynecology
Metabolism and Genetic Disorders
article

EP05.49: Early detection matters: prenatal diagnosis of lissencephaly in a primigravida

Hasyma Abu Hassan, V.L. Velayudham, S. Abu Hanet, W.C. Chua
article en

Abstract

Lissencephaly, a rare brain malformation characterised by smooth brain surfaces due to abnormal neuronal migration, is typically diagnosed postnatally. We present a case of prenatal diagnosis in a 22-year-old primigravida at 32 weeks of gestation. Initial ultrasound findings revealed absence of the corpus callosum, an abnormally large and dilated third ventricle, loss of gyri (pachygyria), and lack of cerebral neuronal maturation. Subsequent MRI confirmed the diagnosis. MRI fetal reported bilateral symmetrical temporo-posterior dominant lissencephaly complex with hypomyelination, corpus callosum agenesis. The couple was counselled for amniocentesis to assess the ARX gene. The patient opted for termination of pregnancy, which was carried out at 35 weeks at the same time of amniocentesis. This case underscores the challenges and importance of early diagnosis and counselling for fetal central nervous system abnormalities. Advanced ultrasound technology and updated neurosonogram guidelines by the ISUOG allow for suspected lissencephaly to be evaluated and confirmed antenatally. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Ultrasound in Obstetrics and GynecologyVol. 64(S1)
Universiti Putra Malaysia (MY), Serdang Hospital (MY)
Gender equality
Openalex Percentile: Top 78%
Metabolism and Genetic Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.