Add like
Add dislike
Add to saved papers

A new quantitative method to assess disproportionately enlarged subarachnoid space (DESH) in patients with possible idiopathic normal pressure hydrocephalus: The SILVER index.

OBJECTIVES: Preoperative diagnosis of idiopathic normal-pressure hydrocephalus (iNPH) remains challenging. Recently, the presence of disproportionally enlarged subarachnoid spaces and hydrocephalus (DESH) on diagnostic images has been linked to clinical improvement after ventriculoperitoneal (VP) shunt placement. In this study we describe a new quantitative method to assess DESH on CT scans and to evaluate its prognostic value.

PATIENTS AND METHODS: A multiplanar reconstruction software was used to retrospectively evaluate prospectively collected radiological data (CT scans) of 26 controls and 29 consecutive patients that underwent VP shunt placement for possible iNPH. The ratio between the areas of the sylvian fissure and the subarachnoid space at the vertex was calculated (SILVER index). The diagnostic accuracy of the SILVER index and the estimate of the best cut-point were assessed using ROC analysis.

RESULTS: The mean value of the SILVER index was 11.52±14.27 in the study group and 1.68±0.98 in the control group (p-value<0.0001). The area under the ROC curve for the SILVER index was 0.903 (95% CI 0.813-0.994). A cut-off value for the SILVER index of 3.75 was extrapolated with a sensitivity and specificity of 0.828 and 0.962 respectively.

CONCLUSIONS: The SILVER index is a reliable tool to easily quantify DESH on CT scans of patients with suspected iNPH. Its high sensitivity and specificity should encourage further investigations in order to confirm its clinical utility.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app