Sonographic evaluation of the optic nerve sheath diameter and anterior chamber depth of the eye among apparently healthy adults in Kano, Nigeria

2020 ◽  
Vol 27 (2) ◽  
pp. 75
Author(s):  
Mohammed Sidi ◽  
Muzammil Aminu
PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Rapeephan R. Maude ◽  
Md Amir Hossain ◽  
Mahtab Uddin Hassan ◽  
Sophie Osbourne ◽  
Katherine Langan ◽  
...  

2016 ◽  
Vol 3 (101) ◽  
pp. 5573-5576 ◽  
Author(s):  
Uday Kumar Jaihind Khasage ◽  
Vijaya Kumar ◽  
Narendra Sharanappa Shamanur ◽  
Bakkesh Budhihal Prasad ◽  
Bharath Kempanna ◽  
...  

2018 ◽  
Vol 18 (2) ◽  
Author(s):  
Achimugu G Omatiga ◽  
Oluwatoyin H Onakpoya ◽  
Bukunmi M Idowu ◽  
Christianah M Asaleye ◽  
Bernice O Adegbehingbe ◽  
...  

2020 ◽  
pp. 028418512096671
Author(s):  
Ying-mei Zheng ◽  
Da-peng Hao ◽  
Guo-zhang Tang ◽  
Rui-zhi Zhou ◽  
Jing Pang ◽  
...  

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.


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e81013 ◽  
Author(s):  
Rapeephan R. Maude ◽  
Md Amir Hossain ◽  
Mahtab Uddin Hassan ◽  
Sophie Osbourne ◽  
Katherine Langan Abu Sayeed ◽  
...  

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