Clinical Research Directory

AIRFRAME: Artificial Intelligence for Recognition of Fetal bRain AnoMaliEs at Second Trimester Fetal Brain Scan

Obstetric ultrasound represents the standard of care for the screening of the fetal anomalies. However, its performance is dependent upon several parameters including type of anomaly, gestational age, maternal habitus and skills of the examiner. The use of Artificial Intelligence (AI) in medical diagnostics has been suggested not only to reduce the inter- and intra-operator variability, but also to compress the required time necessary to perform routine tasks, hence optimizing healthcare resources. Fetal brain abnormalities are among the most challenging fetal congenital anomalies in terms of ultrasound diagnosis, prenatal counseling and management. The access to new sources of technology, i.e. AI, has the potential to improve recognition, detection and localization of brain malformations. Therefore, we propose to develop an AI-based software, which would be capable to recognize the brain structures at antenatal ultrasound and discriminate between normal and abnormal fetal brain anatomy through fully automatic data processing.

The Role of CSF in Chiari II Brain Malformation

Spina bifida, particularly its most severe form known as open spina bifida (myelomeningocele), is a significant congenital disorder that results in profound neurological impairments, including Chiari II malformation. This malformation is associated with the downward displacement of the cerebellum and brainstem into the spinal canal, often leading to hydrocephalus, a condition where cerebrospinal fluid (CSF) accumulates in the brain1. These conditions can result in a range of complications, including cognitive and motor disabilities, learning difficulties, and, in severe cases, early mortality1,2. While surgical interventions, including prenatal and postnatal surgeries, have been developed to manage the physical manifestations of spina bifida and Chiari II malformation, these procedures have not been fully successful in addressing the associated brain anomalies3. This study aims to explore the hypothesis that the composition of CSF plays a critical role in the development of these brain defects. Specifically, it is hypothesized that the rapid replenishment of CSF, due to its leakage from the open spine in spina bifida, results in a "less mature" fluid composition, which negatively affects neurogenesis and neuronal migration during critical periods of brain development.

Human Epilepsy Genetics--Neuronal Migration Disorders Study

The purpose of this study is to identify genes responsible for epilepsy, brain malformations and disorders of human cognition.