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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Clinical trials

Topic: Brain imaging, connectivity and assessment

Background Idiopathic normal pressure hydrocephalus (iNPH) is a reversible cause of dementia in older adults yet remains underdiagnosed due to nonspecific clinical presentation and reliance on invasive confirmatory tests. Conventional MRI biomarkers, including the Evans index and callosal angle, capture ventricular enlargement but incompletely characterize cerebrospinal fluid (CSF) redistribution. Disproportionately enlarged subarachnoid-space hydrocephalus (DESH) features, tight high-convexity sulci and enlarged Sylvian fissures, are more disease-specific but lack standardized quantitative measures. Methods We developed the Disproportionately Elevated Sulcal Index (DESI), an automated volumetric biomarker quantifying the ratio of Sylvian fissure volume to superior sulcal space volume. T1-weighted MRI scans were acquired from three independent cohorts: the Baltimore Longitudinal Study of Aging (n = 1,032), Johns Hopkins CSF Disorders Clinic (n = 216), and the Placebo-controlled Efficacy of iNPH Shunting trial (n = 94). Preprocessing included N4 bias correction, standard-space registration, and alignment. A U-Net segmentation model with an EfficientNet-B0 encoder delineated Sylvian fissures and sulcal compartments. DESI was computed from 3D reconstructions and evaluated using Dice similarity coefficients, landmark detection error, and classification performance across diagnostic groups. Results Segmentation achieved ∼0.80 DICE for Sylvian fissures; ∼0.74 for superior sulci. On external validation, DESI discriminated NPH with DESH from non-DESH NPH with AUC = 0.99, accuracy 97.9%, and from all other groups (healthy controls, Alzheimer’s disease, vascular dementia) with perfect classification (AUC = 1.00, 100% sensitivity and specificity at threshold = 4.83). In cognitively normal adults, DESI showed only a modest age-related increase and no sex differences, confirming specificity for hydrocephalic pathology. Conclusion DESI is a robust, fully automated MRI biomarker that sensitively detects CSF redistribution characteristic of DESH in iNPH. By outperforming traditional indices and achieving near-perfect diagnostic accuracy across independent cohorts, DESI offers a noninvasive tool for early detection, patient selection for shunting, and longitudinal monitoring of disease progression.

Key findings

Study details

How this study scored 16/100
How this study's score is builtJournal tier 2 of 10; Journal's citation record 0 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 4 of 10; How recent 4 of 5; Sample size 3 of 4; Effect reported 3 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited left out, no data; Citations per year left out, no data; Impact for its field and year left out, no data; Cited by studies here left out, no data; Still being cited left out, no data; Senior author's track record left out, no data; Institution's track record left out, no data; Multi-centre collaboration left out, no data; Indexed in PubMed 1 of 2; Free to read 0 of 2. 30 of the 62 points it could be judged on, which is 48 of 100. Raw total 48 of 100, shown as 16 because this is not a peer-reviewed research article.raw total 48 of 100capped at 16 — hatched points do not count

Preprint — not yet peer-reviewed. It scored 48 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for randomised / blinded because the record does not state it. We have no data on times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 30 of the 62 points we could judge it on, which is 48 out of 100.

ComponentPointsWhy
Journal tier 2 / 10 Tier 4 — not a peer-reviewed journal (medRxiv)
Journal's citation record 0 / 4 Not a journal article, so the journal's record does not count
Study design 7 / 12 A longitudinal study following the same people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 4 / 10 Preprint — not yet peer-reviewed. Hosted on a preprint server.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 3 / 4 1,032 participants
Effect reported 3 / 3 Effect reported with a statistic (interval, p-value, ratio or similar)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited — / 7 No citation count (not found in OpenAlex) — left out of this score
Citations per year — / 5 No citation count or no year — left out of this score
Impact for its field and year — / 6 No field-weighted citation impact (OpenAlex has none yet) — left out of this score
Cited by studies here — / 6 Not yet checked against this library's citation graph — left out of this score
Still being cited — / 4 No yearly citation counts — left out of this score
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record — / 3 No institution listed in OpenAlex — left out of this score
Multi-centre collaboration — / 3 Institutions not listed — left out of this score
Indexed in PubMed 1 / 2 Not in PubMed, but has a DOI
Free to read 0 / 2 Behind a paywall — scores zero
Points 30 / 62 Scored on 12 of 20 parts. We have no data for the rest, so they are left out: 30 of the 62 points we could judge it on is 48 out of 100.
Total 48 / 100 Capped to 16 because this is not a peer-reviewed article.

What each of these 20 components measures, and what this score is not →

Read the original

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Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Barough, S. S., Ohno, S., Bilgel, M., Sair, H. I., Luciano, M. G., & Moghekar, A. (2025). Disproportionately Elevated Sulcal Index (DESI): An automatically driven index representing disproportionate subarachnoid space enlargement in brain MRI scans. medRxiv. https://doi.org/10.64898/2025.12.01.25341388

Vancouver

Barough SS, Ohno S, Bilgel M, Sair HI, Luciano MG, Moghekar A. Disproportionately Elevated Sulcal Index (DESI): An automatically driven index representing disproportionate subarachnoid space enlargement in brain MRI scans. medRxiv. 2025. doi:10.64898/2025.12.01.25341388.

BibTeX

@article{barough2025-4205cb47,
  author  = {Barough, S. S. and Ohno, S. and Bilgel, M. and Sair, H. I. and Luciano, M. G. and Moghekar, A.},
  title   = {{Disproportionately Elevated Sulcal Index (DESI): An automatically driven index representing disproportionate subarachnoid space enlargement in brain MRI scans}},
  journal = {medRxiv},
  year    = {2025},
  doi     = {10.64898/2025.12.01.25341388},
  url     = {https://doi.org/10.64898/2025.12.01.25341388}
}

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