Prognostic Value of Optic Nerve Sheath Diameters after Acute Ischemic Stroke According to Slice Thickness on Computed Tomography.
Han-Bin LeeSang Hoon OhJinhee JangJaseong KooHyo Jin BangMin Hwan LeePublished in: Diagnostics (Basel, Switzerland) (2024)
The optic nerve sheath diameter (ONSD) can predict intracranial pressure and outcomes in neurological disease, but it remains unclear whether a small ONSD can be accurately measured on routine CT images with a slice thickness of approximately 4-5 mm. We measured the ONSD and ONSD/eyeball transverse diameter (ETD) ratio on routine-slice (4 mm) and thin-slice (0.6-0.75 mm) brain CT images from initial scans of acute ischemic stroke (AIS) patients. ONSD-related variables, National Institutes of Health Stroke Scale (NIHSS) scores, and age were compared between good (modified Rankin Scale [mRS] ≤ 2) and poor (mRS > 2) outcomes at discharge. Among 155 patients, 38 had poor outcomes. The thin-slice ONSD was different between outcome groups ( p = 0.047), while the routine-slice ONSD showed no difference. The area under the curve (AUC) values for the ONSD and ONSD/ETD were 0.58 (95% CI, 0.49-0.66) and 0.58 (95% CI, 0.50-0.66) on the routine-slice CT, and 0.60 (95% CI, 0.52-0.68) and 0.62 (95% CI, 0.54-0.69) on the thin-slice CT. The thin-slice ONSD/ETD ratio correlated with initial NIHSS scores (r = 0.225, p = 0.005). After adjusting for NIHSS scores and age, ONSD-related variables were not associated with outcomes, and adding them to a model with NIHSS scores and age did not improve performance (all p -values > 0.05). Although ONSD measurements were not an independent outcome predictor, they correlated with stroke severity, and the thin-slice ONSD provided a slightly better prognostic performance than the routine-slice ONSD.
Keyphrases
- image quality
- computed tomography
- optic nerve
- acute ischemic stroke
- optical coherence tomography
- dual energy
- contrast enhanced
- healthcare
- magnetic resonance imaging
- public health
- atrial fibrillation
- deep learning
- type diabetes
- metabolic syndrome
- newly diagnosed
- ejection fraction
- mental health
- functional connectivity
- insulin resistance
- chronic kidney disease
- convolutional neural network
- quality improvement
- patient reported outcomes
- climate change
- resting state
- blood brain barrier
- health information
- cerebral ischemia
- patient reported