Literature DB >> 20498437

Increased diffusivity in acute multiple sclerosis lesions predicts risk of black hole.

R T Naismith1, J Xu, N T Tutlam, P T Scully, K Trinkaus, A Z Snyder, S-K Song, A H Cross.   

Abstract

OBJECTIVE: Diffusion tensor imaging (DTI) quantifies Brownian motion of water within tissue. Inflammation leads to tissue injury, resulting in increased diffusivity and decreased directionality. We hypothesize that DTI can quantify the damage within acute multiple sclerosis (MS) white matter lesions to predict gadolinium (Gd)-enhancing lesions that will persist 12 months later as T1 hypointensities.
METHODS: A cohort of 22 individuals underwent 7 brain MRI scans over 15 months. DTI parameters were temporally quantified within regions of Gd enhancement. Comparison to the homologous region in the hemisphere contralateral to the Gd-enhancing lesion was also performed to standardize individual lesion DTI parameters.
RESULTS: After classifying each Gd-enhancing region as to black hole outcome, radial diffusivity, mean diffusivity, and fractional anisotropy, along with their standardized values, were significantly altered for persistent black holes (PBHs), and remained elevated throughout the study. A Gd-enhancing region with a 40% elevation in radial diffusivity had a 5.4-fold (95% confidence interval [CI]: 2.1, 13.8) increased risk of becoming a PBH, with 70% (95% CI: 51%, 85%) sensitivity and 69% (95% CI: 57%, 80%) specificity. A model of radial diffusivity, with volume and length of Gd enhancement, was associated with a risk of becoming a PBH of 5.0 (95% CI: 2.6, 9.9). Altered DTI parameters displayed a dose relationship to duration of black hole persistence.
CONCLUSIONS: Elevated radial diffusivity during gadolinium enhancement was associated with increased risk for development of a persistent black hole, a surrogate of severe demyelination and axonal injury. An elevated radial diffusivity within active multiple sclerosis lesions may be indicative of more severe tissue injury.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20498437      PMCID: PMC2882210          DOI: 10.1212/WNL.0b013e3181e042c4

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  39 in total

1.  Early structural changes in acute MS lesions assessed by serial magnetization transfer studies.

Authors:  V Dousset; A Gayou; B Brochet; J M Caille
Journal:  Neurology       Date:  1998-10       Impact factor: 9.910

Review 2.  Diffusion magnetic resonance imaging in multiple sclerosis.

Authors:  M A Horsfield; H B Larsson; D K Jones; A Gass
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-05       Impact factor: 10.154

3.  Histopathologic correlate of hypointense lesions on T1-weighted spin-echo MRI in multiple sclerosis.

Authors:  M A van Walderveen; W Kamphorst; P Scheltens; J H van Waesberghe; R Ravid; J Valk; C H Polman; F Barkhof
Journal:  Neurology       Date:  1998-05       Impact factor: 9.910

4.  Accumulation of hypointense lesions ("black holes") on T1 spin-echo MRI correlates with disease progression in multiple sclerosis.

Authors:  L Truyen; J H van Waesberghe; M A van Walderveen; B W van Oosten; C H Polman; O R Hommes; H J Adèr; F Barkhof
Journal:  Neurology       Date:  1996-12       Impact factor: 9.910

Review 5.  Axonal pathology in multiple sclerosis: relationship to neurologic disability.

Authors:  B D Trapp; R Ransohoff; R Rudick
Journal:  Curr Opin Neurol       Date:  1999-06       Impact factor: 5.710

6.  Neuronal damage in T1-hypointense multiple sclerosis lesions demonstrated in vivo using proton magnetic resonance spectroscopy.

Authors:  M A van Walderveen; F Barkhof; P J Pouwels; R A van Schijndel; C H Polman; J A Castelijns
Journal:  Ann Neurol       Date:  1999-07       Impact factor: 10.422

7.  Axonal transection in the lesions of multiple sclerosis.

Authors:  B D Trapp; J Peterson; R M Ransohoff; R Rudick; S Mörk; L Bö
Journal:  N Engl J Med       Date:  1998-01-29       Impact factor: 91.245

8.  Serial magnetization transfer imaging to characterize the early evolution of new MS lesions.

Authors:  N C Silver; M Lai; M R Symms; G J Barker; W I McDonald; D H Miller
Journal:  Neurology       Date:  1998-09       Impact factor: 9.910

9.  Characterization of multiple sclerosis plaques with T1-weighted MR and quantitative magnetization transfer.

Authors:  L A Loevner; R I Grossman; J C McGowan; K N Ramer; J A Cohen
Journal:  AJNR Am J Neuroradiol       Date:  1995-08       Impact factor: 3.825

10.  Comparison of multiple sclerosis clinical subgroups using navigated spin echo diffusion-weighted imaging.

Authors:  A G Droogan; C A Clark; D J Werring; G J Barker; W I McDonald; D H Miller
Journal:  Magn Reson Imaging       Date:  1999-06       Impact factor: 2.546

View more
  43 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

Review 2.  Current and new directions in MRI in multiple sclerosis.

Authors:  Eric C Klawiter
Journal:  Continuum (Minneap Minn)       Date:  2013-08

3.  Fractional anisotropy of the optic radiations is associated with visual acuity loss in optic pathway gliomas of neurofibromatosis type 1.

Authors:  Peter Matthew Kennedy de Blank; Jeffrey Ira Berman; Grant T Liu; Timothy Paul Leslie Roberts; Michael Jay Fisher
Journal:  Neuro Oncol       Date:  2013-05-07       Impact factor: 12.300

4.  Use of Magnetic Resonance Imaging as Well as Clinical Disease Activity in the Clinical Classification of Multiple Sclerosis and Assessment of Its Course: A Report from an International CMSC Consensus Conference, March 5-7, 2010.

Authors:  Stuart D Cook; Suhayl Dhib-Jalbut; Peter Dowling; Luca Durelli; Corey Ford; Gavin Giovannoni; June Halper; Colleen Harris; Joseph Herbert; David Li; John A Lincoln; Robert Lisak; Fred D Lublin; Claudia F Lucchinetti; Wayne Moore; Robert T Naismith; Carlos Oehninger; Jack Simon; Maria Pia Sormani
Journal:  Int J MS Care       Date:  2012

Review 5.  Neuroimaging in multiple sclerosis: neurotherapeutic implications.

Authors:  Nancy L Sicotte
Journal:  Neurotherapeutics       Date:  2011-01       Impact factor: 7.620

Review 6.  Current and Emerging Therapies in Multiple Sclerosis: Implications for the Radiologist, Part 2-Surveillance for Treatment Complications and Disease Progression.

Authors:  C McNamara; G Sugrue; B Murray; P J MacMahon
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

7.  Short-term evolution of spinal cord damage in multiple sclerosis: a diffusion tensor MRI study.

Authors:  M Théaudin; G Saliou; B Ducot; K Deiva; C Denier; D Adams; D Ducreux
Journal:  Neuroradiology       Date:  2012-06-26       Impact factor: 2.804

8.  Diffusion tensor MRI as a biomarker in axonal and myelin damage.

Authors:  Wint Yan Aung; Soe Mar; Tammie Ls Benzinger
Journal:  Imaging Med       Date:  2013-10-01

9.  Genetic relatedness of axial and radial diffusivity indices of cerebral white matter microstructure in late middle age.

Authors:  Sean N Hatton; Matthew S Panizzon; Eero Vuoksimaa; Donald J Hagler; Christine Fennema-Notestine; Daniel Rinker; Lisa T Eyler; Carol E Franz; Michael J Lyons; Michael C Neale; Ming T Tsuang; Anders M Dale; William S Kremen
Journal:  Hum Brain Mapp       Date:  2018-02-09       Impact factor: 5.038

Review 10.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.