# qDESH: a method to quantify disproportionately enlarged subarachnoid space hydrocephalus

## TL;DR

This paper introduces a new method to objectively measure a brain imaging feature linked to a type of hydrocephalus, improving diagnostic reliability.

## Contribution

The novel contribution is a semiautomatic quantitative method (qDESH) for objective DESH assessment.

## Key findings

- qDESH showed excellent interrater agreement with an ICC of 0.99.
- qDESH effectively distinguished iNPH patients from controls with an AUC of 0.95.
- qDESH provides a continuous severity measure, unlike subjective visual assessments.

## Abstract

Disproportionately enlarged subarachnoid space hydrocephalus (DESH) is a radiological biomarker for idiopathic normal pressure hydrocephalus (iNPH). DESH is a subjective measure, based on visual assessments, which may limit its reliability. The aim of this study was to develop and validate a method for the objective quantification of DESH.

By using a semiautomatic quantitative method, we calculated quantitative DESH (qDESH), defined as a ratio between CSF volumes at high convexities and Sylvian fissures. The analysis was based on three-dimensional T1-weighted images from 35 subjects with iNPH (mean age 74 yrs; 10 females) and 45 controls (mean age 72 yrs; 13 females). The interrater agreement for qDESH was evaluated by the intraclass correlation coefficient, and qDESH was compared with visual assessments performed by two neuroradiologists.

All subjects with iNPH and 13% of the controls visually scored DESH positive. The median qDESH was 2.48 (5th to 95th percentile 0.88 to 5.42) for iNPH and 0.63 (5th to 95th percentile 0.37 to 1.73) for the controls. The area under the receiver operating characteristic curve for qDESH was 0.95 (95% confidence interval 0.90–1) in separating iNPH patients from controls. The interrater agreement for qDESH was 0.99 (95% CI 0.986–0.994, p < 0.001).

Unlike visual DESH, qDESH generates a continuous variable, enabling reproducible quantification of DESH severity. With this method we can objectively investigate the diagnostic accuracy and prognostic assessment of DESH in iNPH.

The online version contains supplementary material available at 10.1186/s12987-025-00677-2.