Literature DB >> 27581308

The role of diffusion tensor imaging and fractional anisotropy in the evaluation of patients with idiopathic normal pressure hydrocephalus: a literature review.

Ioannis Siasios1,2, Eftychia Z Kapsalaki3, Kostas N Fountas4, Aggeliki Fotiadou5, Alexander Dorsch1,2, Kunal Vakharia1,2, John Pollina1,2, Vassilios Dimopoulos1,2.   

Abstract

OBJECTIVE Diffusion tensor imaging (DTI) for the assessment of fractional anisotropy (FA) and involving measurements of mean diffusivity (MD) and apparent diffusion coefficient (ADC) represents a novel, MRI-based, noninvasive technique that may delineate microstructural changes in cerebral white matter (WM). For example, DTI may be used for the diagnosis and differentiation of idiopathic normal pressure hydrocephalus (iNPH) from other neurodegenerative diseases with similar imaging findings and clinical symptoms and signs. The goal of the current study was to identify and analyze recently published series on the use of DTI as a diagnostic tool. Moreover, the authors also explored the utility of DTI in identifying patients with iNPH who could be managed by surgical intervention. METHODS The authors performed a literature search of the PubMed database by using any possible combinations of the following terms: "Alzheimer's disease," "brain," "cerebrospinal fluid," "CSF," "diffusion tensor imaging," "DTI," "hydrocephalus," "idiopathic," "magnetic resonance imaging," "normal pressure," "Parkinson's disease," and "shunting." Moreover, all reference lists from the retrieved articles were reviewed to identify any additional pertinent articles. RESULTS The literature search retrieved 19 studies in which DTI was used for the identification and differentiation of iNPH from other neurodegenerative diseases. The DTI protocols involved different approaches, such as region of interest (ROI) methods, tract-based spatial statistics, voxel-based analysis, and delta-ADC analysis. The most studied anatomical regions were the periventricular WM areas, such as the internal capsule (IC), the corticospinal tract (CST), and the corpus callosum (CC). Patients with iNPH had significantly higher MD in the periventricular WM areas of the CST and the CC than had healthy controls. In addition, FA and ADCs were significantly higher in the CST of iNPH patients than in any other patients with other neurodegenerative diseases. Gait abnormalities of iNPH patients were statistically significantly and negatively correlated with FA in the CST and the minor forceps. Fractional anisotropy had a sensitivity of 94% and a specificity of 80% for diagnosing iNPH. Furthermore, FA and MD values in the CST, the IC, the anterior thalamic region, the fornix, and the hippocampus regions could help differentiate iNPH from Alzheimer or Parkinson disease. Interestingly, CSF drainage or ventriculoperitoneal shunting significantly modified FA and ADCs in iNPH patients whose condition clinically responded to these maneuvers. CONCLUSIONS Measurements of FA and MD significantly contribute to the detection of axonal loss and gliosis in the periventricular WM areas in patients with iNPH. Diffusion tensor imaging may also represent a valuable noninvasive method for differentiating iNPH from other neurodegenerative diseases. Moreover, DTI can detect dynamic changes in the WM tracts after lumbar drainage or shunting procedures and could help identify iNPH patients who may benefit from surgical intervention.

Entities:  

Keywords:  AD = Alzheimer disease; ADC = apparent diffusion coefficient; Alzheimer disease; CC = corpus callosum; CST = corticospinal tract; DKI = diffusional kurtosis imaging; DTI = diffusion tensor imaging; FA = fractional anisotropy; IC = internal capsule; MD = mean diffusivity; MTR = magnetization transfer ratio; NPH = normal pressure hydrocephalus; PD = Parkinson disease; Parkinson disease; ROI = region of interest; TBSS = tract-based spatial statistics; WM = white matter; diffusion tensor imaging; fractional anisotropy; iNPH = idiopathic NPH; idiopathic; normal pressure hydrocephalus; vascular disorders

Mesh:

Year:  2016        PMID: 27581308     DOI: 10.3171/2016.6.FOCUS16192

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  22 in total

Review 1.  Neuroimaging in Dementia.

Authors:  Adam M Staffaroni; Fanny M Elahi; Dana McDermott; Kacey Marton; Elissaios Karageorgiou; Simone Sacco; Matteo Paoletti; Eduardo Caverzasi; Christopher P Hess; Howard J Rosen; Michael D Geschwind
Journal:  Semin Neurol       Date:  2017-12-05       Impact factor: 3.420

2.  Long-term effects of radiation therapy on white matter of the corpus callosum: a diffusion tensor imaging study in children.

Authors:  Monwabisi Makola; M Douglas Ris; E Mark Mahone; Keith Owen Yeates; Kim M Cecil
Journal:  Pediatr Radiol       Date:  2017-08-26

3.  Diffusion tensor imaging in idiopathic normal pressure hydrocephalus: clinical and CSF flowmetry correlations.

Authors:  Irene Grazzini; Francesco Redi; Karima Sammartano; Gian Luca Cuneo
Journal:  Neuroradiol J       Date:  2019-11-27

4.  Structural volumetry in NPH diagnostics and treatment-future or dead end?

Authors:  Aleš Vlasák; Petr Skalický; Arnošt Mládek; Jiří Vrána; Vladimír Beneš; Ondřej Bradáč
Journal:  Neurosurg Rev       Date:  2020-01-24       Impact factor: 3.042

Review 5.  Role of Diffusion Tensor Imaging in Diagnosis and Estimation of Shunt Effect for Hydrocephalus in Stroke Patients: A Narrative Review.

Authors:  Sung-Ho Jang; Min-Jye Cho
Journal:  Diagnostics (Basel)       Date:  2022-05-25

6.  A quantitative and clinical evaluation of nerve roots in lumbosacral radiculopathy using diffusion tensor imaging.

Authors:  Yin Shi; Yuefen Zou; Yang Feng; Weiqiang Dou; Hongyuan Ding; Chuanbing Wang; Feng Zhao; Haibin Shi
Journal:  Jpn J Radiol       Date:  2019-12-21       Impact factor: 2.374

Review 7.  The role of diffusion tensor imaging in idiopathic normal pressure hydrocephalus: A literature review.

Authors:  Irene Grazzini; Duccio Venezia; Gian Luca Cuneo
Journal:  Neuroradiol J       Date:  2020-12-02

8.  Semi-automated assessment of the principal diffusion direction in the corpus callosum: differentiation of idiopathic normal pressure hydrocephalus from neurodegenerative diseases.

Authors:  Maria Eugenia Caligiuri; Andrea Quattrone; Alessandro Mechelli; Domenico La Torre; Aldo Quattrone
Journal:  J Neurol       Date:  2021-08-24       Impact factor: 4.849

9.  Dynamic functional networks in idiopathic normal pressure hydrocephalus: Alterations and reversibility by CSF tap test.

Authors:  Alessandra Griffa; Giulia Bommarito; Frédéric Assal; François R Herrmann; Dimitri Van De Ville; Gilles Allali
Journal:  Hum Brain Mapp       Date:  2020-12-09       Impact factor: 5.038

10.  Guidelines for Management of Idiopathic Normal Pressure Hydrocephalus (Third Edition): Endorsed by the Japanese Society of Normal Pressure Hydrocephalus.

Authors:  Madoka Nakajima; Shigeki Yamada; Masakazu Miyajima; Kazunari Ishii; Nagato Kuriyama; Hiroaki Kazui; Hideki Kanemoto; Takashi Suehiro; Kenji Yoshiyama; Masahiro Kameda; Yoshinaga Kajimoto; Mitsuhito Mase; Hisayuki Murai; Daisuke Kita; Teruo Kimura; Naoyuki Samejima; Takahiko Tokuda; Mitsunobu Kaijima; Chihiro Akiba; Kaito Kawamura; Masamichi Atsuchi; Yoshihumi Hirata; Mitsunori Matsumae; Makoto Sasaki; Fumio Yamashita; Shigeki Aoki; Ryusuke Irie; Hiroji Miyake; Takeo Kato; Etsuro Mori; Masatsune Ishikawa; Isao Date; Hajime Arai
Journal:  Neurol Med Chir (Tokyo)       Date:  2021-01-15       Impact factor: 1.742

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