Deep learning assessment of disproportionately enlarged subarachnoid-space hydrocephalus in Hakim's disease or idiopathic normal pressure hydrocephalus.

ABSTRACT:

Background

Disproportionately enlarged subarachnoid-space hydrocephalus (DESH) is a key feature of Hakim's disease (synonymous with idiopathic normal pressure hydrocephalus; iNPH). However, it previously had been only subjectively evaluated.

Purpose

This study aims to evaluate the usefulness of MRI indices, derived from deep learning segmentation of cerebrospinal fluid (CSF) spaces, for DESH detection and to establish their optimal thresholds.

Materials and methods

This study retrospectively enrolled a total of 1009 participants, including 77 patients diagnosed with Hakim's disease, 380 healthy volunteers, 163 with mild cognitive impairment, 256 with Alzheimer's disease, and 217 with other types of neurodegenerative diseases. DESH, ventriculomegaly, tightened sulci in

SUBMITTER: Yamada S 

PROVIDER: S-EPMC12429205 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature