Evidence map›Paper›PMID 40088925›Full record

ArticleThe British journal of radiology2025

Splenial angle on axial T1 and fluid-attenuated inversion-recovery MRI images and idiopathic normal pressure hydrocephalus.

Samantha Lee, Robert Chen, Sumeet Kumar, Weiling Lee, Huihua Li, Louis C S Tan, Eng King Tan, Nicole C H Keong, Ling Ling Chan

Abstract read
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Article in The British journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Samantha LeeDepartment of Neuroradiology, Singapore General Hospital, Singapore 169608, Singapore.
Robert ChenDepartment of Neuroradiology, Singapore General Hospital, Singapore 169608, Singapore.
Sumeet KumarDepartment of Neuroradiology, National Neuroscience Institute, Singapore 308433, Singapore.
Weiling LeeDepartment of Radiography, Singapore General Hospital, Singapore 169608, Singapore.
Huihua LiDuke-NUS Medical School, Singapore 169857, Singapore.
Louis C S TanDuke-NUS Medical School, Singapore 169857, Singapore.
Eng King TanDuke-NUS Medical School, Singapore 169857, Singapore.
Nicole C H KeongDuke-NUS Medical School, Singapore 169857, Singapore.
Ling Ling ChanDepartment of Neuroradiology, Singapore General Hospital, Singapore 169608, Singapore.ORCID 0000-0001-7603-7334

Funding

National Medical Research Council NMRC/CSASI/0008/2020National Medical Research Council NMRC/CSI/0006/2006National Medical Research Council NMRC/TA/0024/2013National Medical Research Council NMRC/TCR14/012
6 · The paper itself

Abstract

objectivesThe splenial angle (SA), measured on axial DTI colour fractional anisotropy MRI, outperformed the callosal angle (CA) in predicting idiopathic normal pressure hydrocephalus (NPH) patients from those with Alzheimer's dementia, Parkinson's disease (PD), and healthy controls (HC). We investigated its reliability and classification performance on more commonly acquired T1 magnetization-prepared rapid gradient-echo (MPRAGE) and fluid-attenuated inversion-recovery (FLAIR) images.

methodsSplenial angle was measured on axial MPRAGE and FLAIR images in 57 subjects (19 NPH, PD and HC each) by 2 raters and compared across groups. Receiver operating characteristics (ROC) analysis was used to assess its classification performance, differentiating NPH from non-NPH groups, in comparison to the CA.

resultsInter-rater reliability for SA was excellent (intraclass correlation coefficients ≥ 0.91). Splenial angle was effective in differentiating NPH from non-NPH patients on MPRAGE and FLAIR images (P < .001). Its ROC curves showed excellent performance classifying NPH from HC (Area under the curve [AUC] 1) and PD (AUC > 0.93) groups and were highly comparable to those for CA (1; 0.947). Angles wider than 60° and narrower than 45° robustly (100%) excluded and predicted NPH from HC, respectively. The narrower 45° cutoff yielded better sensitivity (84.2%-89.5%) in differentiating NPH from PD patients.

conclusionsThe SA on MPRAGE/FLAIR images showed excellent inter-rater reliability and classification performance predicting NPH from non-NPH groups, rivalling those of the CA. ADVANCES IN KNOWLEDGE: The SA on MPRAGE and FLAIR images is reproducible and shows excellent diagnostic performance, differentiating NPH from non-NPH groups, with potential to replace the CA in NPH screening given its accessibility on routine axial neuroimaging.

Indexed as

Corpus CallosumHydrocephalus, Normal PressureMagnetic Resonance ImagingAgedAged, 80 and overAlzheimer DiseaseFemaleHumansMaleMiddle AgedParkinson DiseaseReproducibility of Resultsneurodegenerationnormal pressure hydrocephalusreproducibilityROC curvesensitivity and specificity

Identifiers

PMID40088925
PMCPMC12089770

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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.