1. High-resolution MRI assessment of optic nerve sheath diameter in adults: optic nerve sheath variation and a new diagnostic tool for intracranial hypertension
- Author
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Rui-Zhi Zhou, Ying-Mei Zheng, Cheng Dong, Jing Pang, Guo-Zhang Tang, and Dapeng Hao
- Subjects
Male ,Optic nerve sheath ,China ,High resolution ,Sensitivity and Specificity ,03 medical and health sciences ,0302 clinical medicine ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Intracranial pressure ,Retrospective Studies ,Radiological and Ultrasound Technology ,medicine.diagnostic_test ,business.industry ,Reproducibility of Results ,Magnetic resonance imaging ,Optic Nerve ,General Medicine ,Middle Aged ,Magnetic Resonance Imaging ,Healthy individuals ,030221 ophthalmology & optometry ,Optic nerve ,Female ,Intracranial Hypertension ,business ,Nuclear medicine ,030217 neurology & neurosurgery - Abstract
Background Assessment of optic nerve sheath diameter (ONSD) is a non-invasive measure of intracranial pressure (ICP). However, it is not clear whether healthy individuals exhibit ONSD variation or whether factors other than ICP affect the ONSD. Purpose To investigate whether ONSD was correlated with age, sex, height, weight, eyeball transverse diameter (ETD), or body mass index (BMI), and to develop a new diagnostic model to increase the diagnostic accuracy of intracranial hypertension (IH). Material and Methods A total of 145 relatively healthy adults and 40 patients with acute IH who underwent high-resolution magnetic resonance imaging (MRI) were enrolled in this study. Linear regression analyses were used to determine the relationship between ONSD and these variables. If correlations were identified, an index ONSDΔ removing variables effects was calculated. ROC analysis was used to assess the IH predictive value of ONSDΔ in terms of sensitivity and specificity. Results In relatively healthy adults, there was a correlation between ONSD and BMI ( P = 0.002), which can be presented as an index ONSDΔ. The ONSDΔ model better predicted IH than the ONSD model ( P = 0.035), with a sensitivity of 70.00%, a specificity of 71.72%, and an AUC of 0.755. Conclusion A correlation between ONSD and body mass index (BMI) was found using high-resolution MRI. This result indicates that the effects of BMI should be considered along with the ONSD during ICP monitoring. Meanwhile, the index ONSDΔ was better than the ONSD in predicting IH and could be used to obtain a more precise estimation of ICP.
- Published
- 2020