Literature DB >> 33860336

The topology of ventricle surfaces and its application in the analysis of hydrocephalic ventricles: a proof-of-concept study.

Yu Tung Lo1, Sumeet Kumar2, Leanne Qiaojing Tan1, Christine Lock1, Nicole Chwee Har Keong3,4.   

Abstract

PURPOSE: The cerebral ventricles deform in a non-uniform fashion in response to increased CSF volume and/or pressure in hydrocephalic syndromes. Current research is focused on volumetric analyses, while topological analysis of ventricular surfaces remains understudied. We developed a method of quantitatively modeling the curvature of ventricular surfaces to analyze changes in ventricular surfaces in normal pressure hydrocephalus (NPH) and Alzheimer's disease (AD), using the left frontal horn as an example.
METHODS: Twenty-one patients with NPH were recruited from our institution, and 21 healthy controls (HC) and patients with Alzheimer's disease (AD) were identified from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. On T1-weighted fine-cut magnetic resonance sequences, 3D Slicer was used to segment the left frontal horn. Next, the mean curvatures at a set of points on the ventricular surface were determined. The frontal horns were scaled and centered into normalized volumes, allowing for pooling across the study subjects. The frontal horn was divided into superolateral, superomedial, inferolateral, and inferomedial surfaces, and locoregional mean curvatures were analyzed. Statistical comparisons were made between NPH, AD, and HC groups.
RESULTS: Significant differences in the mean curvature of lateral surfaces of the ventricles distinguished patterns of distortion between all three cohorts. Significant flattening of the superomedial surface discriminated NPH from HC and AD. However, significant rounding of the inferomedial surface compared to controls was a distinguishing feature of NPH alone.
CONCLUSION: NPH ventricles deform non-uniformly. The pattern of surface distortion may be used as an additional tool to differentiate between these hydrocephalic conditions.

Entities:  

Keywords:  ADNI; Curvature; Hydrocephalus; Morphology; NPH; Normal pressure hydrocephalus; Topology

Year:  2021        PMID: 33860336     DOI: 10.1007/s00234-021-02698-8

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  15 in total

1.  The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease.

Authors:  Guy M McKhann; David S Knopman; Howard Chertkow; Bradley T Hyman; Clifford R Jack; Claudia H Kawas; William E Klunk; Walter J Koroshetz; Jennifer J Manly; Richard Mayeux; Richard C Mohs; John C Morris; Martin N Rossor; Philip Scheltens; Maria C Carrillo; Bill Thies; Sandra Weintraub; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

2.  The callosal angle measured on MRI as a predictor of outcome in idiopathic normal-pressure hydrocephalus.

Authors:  Johan Virhammar; Katarina Laurell; Kristina Giuliana Cesarini; Elna-Marie Larsson
Journal:  J Neurosurg       Date:  2013-09-27       Impact factor: 5.115

3.  Intracranial compartment volumes in normal pressure hydrocephalus: volumetric assessment versus outcome.

Authors:  W M Palm; R Walchenbach; B Bruinsma; F Admiraal-Behloul; H A M Middelkoop; L J Launer; J van der Grond; M A van Buchem
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

4.  The corpus callosal angle in the diagnosis of cerebral ventricular enlargement.

Authors:  O Sjaastad; A Nordvik
Journal:  Acta Neurol Scand       Date:  1973       Impact factor: 3.209

5.  Optimal Diagnostic Indices for Idiopathic Normal Pressure Hydrocephalus Based on the 3D Quantitative Volumetric Analysis for the Cerebral Ventricle and Subarachnoid Space.

Authors:  S Yamada; M Ishikawa; K Yamamoto
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-10       Impact factor: 3.825

6.  Three-dimensional echocardiography-based analysis of right ventricular shape in pulmonary arterial hypertension.

Authors:  Karima Addetia; Francesco Maffessanti; Megan Yamat; Lynn Weinert; Akhil Narang; Benjamin H Freed; Victor Mor-Avi; Roberto M Lang
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-07-09       Impact factor: 6.875

7.  CSF spaces in idiopathic normal pressure hydrocephalus: morphology and volumetry.

Authors:  H Kitagaki; E Mori; K Ishii; S Yamaji; N Hirono; T Imamura
Journal:  AJNR Am J Neuroradiol       Date:  1998-08       Impact factor: 3.825

8.  Diffusion tensor imaging profiles reveal specific neural tract distortion in normal pressure hydrocephalus.

Authors:  Nicole C Keong; Alonso Pena; Stephen J Price; Marek Czosnyka; Zofia Czosnyka; Elise E DeVito; Charlotte R Housden; Barbara J Sahakian; John D Pickard
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

9.  A case study of hemispatial neglect using finite element analysis and positron emission tomography.

Authors:  Alonso Peña; Brian K Owler; Tim D Fryer; Pawan Minhas; Marek Czosnyka; Peter J Crawford; John D Pickard
Journal:  J Neuroimaging       Date:  2002-10       Impact factor: 2.486

Review 10.  Imaging normal pressure hydrocephalus: theories, techniques, and challenges.

Authors:  Nicole C H Keong; Alonso Pena; Stephen J Price; Marek Czosnyka; Zofia Czosnyka; John D Pickard
Journal:  Neurosurg Focus       Date:  2016-09       Impact factor: 4.047

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.