Neonatal Jaundice.
Pooja AbbeyDevasenathipathy KandasamyPriyanka NaranjePublished in: Indian journal of pediatrics (2019)
Hyperbilirubinemia is a common occurrence in neonates; it may be physiological or pathological. Conjugated hyperbilirubinemia may result from medical or surgical causes, and can result in irreversible liver damage if untreated. The aim of imaging is the timely diagnosis of surgical conditions like biliary atresia and choledochal cysts. Abdominal ultrasound is the first line imaging modality, and Magnetic resonance cholangiopancreatography (MRCP) also has a role, especially in pre-operative assessment of choledochal cysts (CDCs). For biliary atresia, the triangular cord sign and gallbladder abnormalities are the two most useful ultrasound features, with a combined sensitivity of 95%. Liver biopsy has an important role in pre-operative evaluation; however, the gold standard for diagnosis of biliary atresia remains an intra-operative cholangiogram. Choledochal cysts are classified into types according to the number, location, extent and morphology of the areas of cystic dilatation. They are often associated with an abnormal pancreaticobiliary junction, which is best assessed on MRCP. Caroli's disease or type 5 CDC comprises of multiple intrahepatic cysts. CDCs, though benign, require surgery as they may be associated with complications like cholelithiasis, cholangitis and development of malignancy. Severe unconjugated hyperbilirubinemia puts neonates at high risk of developing bilirubin induced brain injury, which may be acute or chronic. Magnetic resonance imaging of the brain is the preferred modality for evaluation, and shows characteristic involvement of the globus pallidi, subthalamic nuclei and cerebellum - in acute cases, these areas show T1 hyperintensity, while chronic cases typically show hyperintensity on T2 weighted images.
Keyphrases
- brain injury
- magnetic resonance imaging
- drug induced
- magnetic resonance
- liver failure
- contrast enhanced
- deep brain stimulation
- high resolution
- subarachnoid hemorrhage
- respiratory failure
- cerebral ischemia
- ultrasound guided
- minimally invasive
- computed tomography
- deep learning
- parkinson disease
- coronary artery bypass
- risk assessment
- oxidative stress
- diabetic rats
- convolutional neural network
- early onset
- acute coronary syndrome
- endothelial cells
- preterm infants
- machine learning
- intensive care unit
- network analysis
- extracorporeal membrane oxygenation
- surgical site infection
- mechanical ventilation