Fig 15 - uploaded by Shahina Bano
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Semilobar holoprosencephaly. Axial T2W MRI brain shows H-shaped monoventricle with rudimentary third ventricle (arrow). Basal ganglia and thalami are partially fused. Note the presence of callosal splenium(thin black arrow) and a small dorsal interhemispheric cyst(asterix). (From Barcovich AJ. Pediatric Neuroimaging ((4 th edn). Philadelphia: Lippincott Williams & Wilkins).

Semilobar holoprosencephaly. Axial T2W MRI brain shows H-shaped monoventricle with rudimentary third ventricle (arrow). Basal ganglia and thalami are partially fused. Note the presence of callosal splenium(thin black arrow) and a small dorsal interhemispheric cyst(asterix). (From Barcovich AJ. Pediatric Neuroimaging ((4 th edn). Philadelphia: Lippincott Williams & Wilkins).

Citations

... Central nervous system anomalies (CNSA) represent a wide range of congenital birth defects, with an observed incidence of approximately 1% of all births (Bano 2012). The true incidence is difficult to assess and could be much higher because such malformations are a leading cause of spontaneous abortion and termination of pregnancy (Frey and Hauser 2003;Girgis et al. 2010). ...
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Background: Central nervous system anomalies represent a wide range of congenital birth defects, with an incidence of approximately 1% of all births. They are currently diagnosed using ultrasound evaluation. However, there is strong need for a more accurate and less operator-dependent screening method. Objectives: To perform a characterization of maternal serum in order to build a metabolomic fingerprint resulting from congenital anomalies of the central nervous system. Methods: This is a case-control pilot study. Metabolomic profiles were obtained from serum of 168 mothers (98 controls and 70 cases), using gas chromatography coupled to mass spectrometry. Nine machine learning and classification models were built and optimized. An ensemble model was built based on results from the individual models. All samples were randomly divided into two groups. One was used as training set, the other one for diagnostic performance assessment. Results: Ensemble machine learning model correctly classified all cases and controls. Propanoic, lactic, gluconic, benzoic, oxalic, 2-hydroxy-3-methylbutyric, acetic, lauric, myristic and stearic acid and myo-inositol and mannose were selected as the most relevant metabolites in class separation. Conclusion: The metabolomic signature of second trimester maternal serum from pregnancies affected by a fetal central nervous system anomaly is quantifiably different from that of a normal pregnancy. Maternal serum metabolomics is therefore a promising tool for the accurate and sensitive screening of such congenital defects. Moreover, the details of the most relevant metabolites and their respective biochemical pathways allow better understanding of the overall pathophysiology of affected pregnancies.
... Central nervous system anomalies (CNSA) represent a wide range of congenital birth defects, with an observed incidence of approximately 1% of all births (Bano 2012). The true 1 3 incidence is difficult to assess and could be much higher because such malformations are a leading cause of spontaneous abortion and termination of pregnancy (Frey and Hauser 2003;Girgis et al. 2010). ...
Article
Full-text available
Background Central nervous system anomalies represent a wide range of congenital birth defects, with an incidence of approximately 1% of all births. They are currently diagnosed using ultrasound evaluation. However, there is strong need for a more accurate and less operator-dependent screening method. Objectives To perform a characterization of maternal serum in order to build a metabolomic fingerprint resulting from congenital anomalies of the central nervous system. Methods This is a case–control pilot study. Metabolomic profiles were obtained from serum of 168 mothers (98 controls and 70 cases), using gas chromatography coupled to mass spectrometry. Nine machine learning and classification models were built and optimized. An ensemble model was built based on results from the individual models. All samples were randomly divided into two groups. One was used as training set, the other one for diagnostic performance assessment. Results Ensemble machine learning model correctly classified all cases and controls. Propanoic, lactic, gluconic, benzoic, oxalic, 2-hydroxy-3-methylbutyric, acetic, lauric, myristic and stearic acid and myo-inositol and mannose were selected as the most relevant metabolites in class separation. Conclusion The metabolomic signature of second trimester maternal serum from pregnancies affected by a fetal central nervous system anomaly is quantifiably different from that of a normal pregnancy. Maternal serum metabolomics is therefore a promising tool for the accurate and sensitive screening of such congenital defects. Moreover, the details of the most relevant metabolites and their respective biochemical pathways allow better understanding of the overall pathophysiology of affected pregnancies.
... In semi-lobar holoprosencephaly, the interhemispheric fissure and the falx cerebri are partially developed posteriorly, whereas the frontal lobes are fused. The corpus callosum is absent in the fused regions [1,3,9]. ...
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Encephalocele is a mesodermal defect in the skull bones and duramater. Parietal encephalocele is a rare congenital anomaly of newborn with variable prognostic value. The authors report a case of a very large inter parietal encephalocele with no associated other system malformations. A midline inter parietal encephalocele is much rare, earlier reported cases were posterior parietal in location. Such cases can be successfully operated upon with a very good outcome. A unique case of a 18 day neonate, with swelling over scalp was evaluated by the neurosurgical team and the patient underwent neurosurgery. In planning the strategy for management of encephalocele, one needs to take into consideration the site, size, contents, patency of CSF pathway, neurological status and other associated anomalies. Inspite of such a big encephalocele in an atypical location, excision and repair gave excellent results.
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