Evidence map›Paper›PMID 39746816›Full record

ArticleAJNR. American journal of neuroradiology2025

Automated Detection of Normal Pressure Hydrocephalus Using CT Imaging for Calculating the Ventricle-to-Subarachnoid Volume Ratio.

Jacob J Knittel, Justin L Hoskin, Dylan J Hoyt, Jonathan A Abdo, Emily L Foldes, Molly M McElvogue, Clay M Oliver, Daniel A Keesler, Terry D Fife, F David Barranco and 4 more

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jacob J KnittelFrom the Creighton University School of Medicine (J.J.K., J.A.A., C.M.O.), Phoenix, Arizona.
Justin L HoskinDepartment of Neurology (J.L.H., T.D.F.), Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.
Dylan J HoytDepartment of Radiology (D.J.H., D.A.K.), St. Joseph's Hospital and Medical Center, Phoenix, Arizona.
Jonathan A AbdoFrom the Creighton University School of Medicine (J.J.K., J.A.A., C.M.O.), Phoenix, Arizona.
Emily L FoldesDepartment of Neuroradiology (E.L.F., M.M.M., K.S.K.), Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.ORCID 0009-0005-8769-5662
Molly M McElvogueDepartment of Neuroradiology (E.L.F., M.M.M., K.S.K.), Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.ORCID 0009-0001-8811-0196
Clay M OliverFrom the Creighton University School of Medicine (J.J.K., J.A.A., C.M.O.), Phoenix, Arizona.
Daniel A KeeslerDepartment of Neurology (J.L.H., T.D.F.), Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.
Terry D FifeDepartment of Neurology (J.L.H., T.D.F.), Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.
F David BarrancoDepartment of Neurosurgery (F.D.B., K.A.S.), Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.
Kris A SmithDepartment of Neurosurgery (F.D.B., K.A.S.), Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.ORCID 0000-0003-4645-6313
J Gordon McCombDepartment of Neurosurgery (J.G.M.), Children's Hospital of Los Angeles, Los Angeles, California.ORCID 0000-0003-3832-3270
Matthew T BorzageDivision of Neonatology (M.T.B.), Children's Hospital of Los Angeles, Los Angeles, California.ORCID 0000-0001-7010-2318
Kevin S KingDepartment of Neuroradiology (E.L.F., M.M.M., K.S.K.), Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona neuropub@barrowneuro.org.ORCID 0000-0003-4449-2468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeNormal pressure hydrocephalus (NPH) is a diagnostic challenge because its clinical symptoms and imaging appearance resemble normal aging and other forms of dementia. Identifying NPH is essential so that patients can receive timely treatment to improve gait distortion and quality of life. An automated marker of NPH was developed and evaluated on clinical CT images, and its utility was assessed in a large patient cohort. MATERIALS AND

methodsA retrospective review was conducted of CT images from 306 tap test-responsive patients with NPH between January 2015 and January 2022. Control CT images were obtained from patients in the emergency department who were evaluated for headache and had unremarkable CT findings between June 2021 and August 2022. The ventricle-to-subarachnoid volume ratio (VSR) was automatically calculated by the imaging software and used as a predictor of NPH in linear regression modeling with adjustment for age and sex. The correlations of VSR with age, sex, and the receiver operating characteristic were computed.

resultsVSR was significantly greater in patients with NPH than controls (

conclusionsAutomated assessment of the VSR on head CT images identified probable NPH with 93% accuracy. The assessment of a large cohort of patients with NPH supports the generalizability of clinical screening of CT images. Moreover, the results support the utility of ventricle-to-sulcal concordance often used by radiologists but not currently a part of the accepted guidelines for imaging markers of NPH.

Indexed as

Hydrocephalus, Normal PressureTomography, X-Ray ComputedAgedAged, 80 and overCerebral VentriclesFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificitySubarachnoid Space

Identifiers

PMID39746816
PMCPMC11735426

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.