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

• Published in: British journal of radiology Vol. 98; no. 1170; p. 938
• Main Authors: Lee, Samantha, Chen, Robert, Kumar, Sumeet, Lee, Weiling, Li, Huihua, Tan, Louis C S, Tan, Eng King, Keong, Nicole C H, Chan, Ling Ling
• Format: Journal Article
• Language: English
• Published: England 01.06.2025
• Subjects: Aged; Aged, 80 and over; Alzheimer Disease - diagnostic imaging; Corpus Callosum - diagnostic imaging; Female; Humans; Hydrocephalus, Normal Pressure - diagnostic imaging; Magnetic Resonance Imaging - methods; Male; Middle Aged; Parkinson Disease - diagnostic imaging; Reproducibility of Results; neurodegeneration; ROC curve; normal pressure hydrocephalus; reproducibility; sensitivity and specificity
• ISSN: 1748-880X
• DOI: 10.1093/bjr/tqaf058

The 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. Splenial 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. Inter-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. The SA on MPRAGE/FLAIR images showed excellent inter-rater reliability and classification performance predicting NPH from non-NPH groups, rivalling those of the CA. 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.