Temporal Horn Enlargements Predict Secondary Hydrocephalus Diagnosis Earlier than Evans' Index.
Paolo MissoriSergio PaoliniSimone PeschilloCristina MancarellaAnthony Kevin ScafaEmanuela RastelliStefano MartiniFrancesco FattappostaAntonio CurràPublished in: Tomography (Ann Arbor, Mich.) (2022)
The aim of this study was to identify early radiological signs of secondary hydrocephalus. We retrieved neuroradiological data from scans performed at various times in patients who underwent surgery for secondary hydrocephalus due to severe traumatic brain injury (TBI), subarachnoid haemorrhage (SAH), or brain tumour (BT). Baseline measurements, performed on the earliest images acquired after the neurological event (T0), included Evans' index, the distance between frontal horns, and the widths of both temporal horns. The next neuroimage that showed an increase in at least one of these four parameters-and that lead the surgeon to act-was selected as an indication of ventricular enlargement (T1). Comparisons of T0 and T1 neuroimages showed increases in Evans' index, in the mean frontal horn distance, and in the mean right and left temporal horn widths. Interestingly, in T1 scans, mean Evans' index scores > 0.30 were only observed in patients with BT. However, the temporal horn widths increased up to ten-fold in most patients, independent of Evans' index scores. In conclusion temporal horn enlargements were the earliest, most sensitive findings in predicting ventricular enlargement secondary to TBI, SAH, or BT. To anticipate a secondary hydrocephalus radiological diagnosis, clinicians should measure both Evans' index and the temporal horn widths, to avoid severe disability and poor outcome related to temporal lobe damage.
Keyphrases
- neuropathic pain
- end stage renal disease
- severe traumatic brain injury
- subarachnoid hemorrhage
- traumatic brain injury
- chronic kidney disease
- ejection fraction
- newly diagnosed
- computed tomography
- cerebrospinal fluid
- heart failure
- peritoneal dialysis
- prognostic factors
- minimally invasive
- oxidative stress
- left ventricular
- multiple sclerosis
- deep learning
- magnetic resonance imaging
- spinal cord
- magnetic resonance
- brain injury
- coronary artery disease
- white matter
- patient reported
- cerebral ischemia
- percutaneous coronary intervention
- convolutional neural network
- catheter ablation