Literature DB >> 10954474

Quantitative diffusion measurements in focal multiple sclerosis lesions: correlations with appearance on TI-weighted MR images.

A O Nusbaum1, D Lu, C Y Tang, S W Atlas.   

Abstract

OBJECTIVE: Relative hypointensity on T1-weighted MR imaging has been suggested as a putative disability marker. The purpose of our study was to determine if there are quantifiable diffusion differences among focal multiple sclerosis lesions that appear differently on conventional T1-weighted MR images. We hypothesized that markedly hypointense lesions on unenhanced T1-weighted images would have significantly increased diffusion compared with other lesions, and enhancing portions of lesions would have different diffusion compared with nonenhancing lesions. SUBJECTS AND METHODS: Average apparent diffusion coefficient (ADC) was calculated for 107 lesions identified on T2-weighted images in 16 patients with multiple sclerosis and was compared with the ADC of normal white matter in 16 age- and sex-matched control subjects. Seventy-five nonenhancing lesions (29 isointense, 46 hypointense) and 32 enhancing lesions (6 isointense, 26 hypointense) were categorized on the basis of unenhanced T1-weighted MR imaging.
RESULTS: Hypointense and isointense nonenhancing lesions both showed significantly higher ADC than normal white matter (p < 0.0001). Hypointense nonenhancing lesions showed higher ADC values than isointense nonenhancing lesions (p < 0.0001). Diffusion in enhancing portions of enhancing lesions was decreased when compared with nonenhancing portions.
CONCLUSION: Quantitative diffusion data from MR imaging differ among multiple sclerosis lesions that appear different from each other on T1-weighted images. These quantitative diffusion differences imply microstructural differences, which may prove useful in documenting irreversible disease.

Entities:  

Mesh:

Year:  2000        PMID: 10954474     DOI: 10.2214/ajr.175.3.1750821

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  17 in total

Review 1.  Diffusion tensor imaging of the brain: review of clinical applications.

Authors:  P C Sundgren; Q Dong; D Gómez-Hassan; S K Mukherji; P Maly; R Welsh
Journal:  Neuroradiology       Date:  2004-04-21       Impact factor: 2.804

2.  Brain volume and diffusion markers as predictors of disability and short-term disease evolution in multiple sclerosis.

Authors:  P G Sämann; M Knop; E Golgor; S Messler; M Czisch; F Weber
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

3.  In vivo water state measurements in breast cancer using broadband diffuse optical spectroscopy.

Authors:  S H Chung; A E Cerussi; C Klifa; H M Baek; O Birgul; G Gulsen; S I Merritt; D Hsiang; B J Tromberg
Journal:  Phys Med Biol       Date:  2008-11-07       Impact factor: 3.609

4.  Diffusion-weighted MR imaging characteristics of an acute strokelike form of multiple sclerosis.

Authors:  C Rosso; P Remy; A Creange; P Brugieres; P Cesaro; H Hosseini
Journal:  AJNR Am J Neuroradiol       Date:  2006-05       Impact factor: 3.825

Review 5.  The Use of Noncontrast Quantitative MRI to Detect Gadolinium-Enhancing Multiple Sclerosis Brain Lesions: A Systematic Review and Meta-Analysis.

Authors:  A Gupta; K Al-Dasuqi; F Xia; G Askin; Y Zhao; D Delgado; Y Wang
Journal:  AJNR Am J Neuroradiol       Date:  2017-05-18       Impact factor: 3.825

6.  Emergency Department MRI Scanning of Patients with Multiple Sclerosis: Worthwhile or Wasteful?

Authors:  J Pakpoor; D Saylor; I Izbudak; L Liu; E M Mowry; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2016-10-06       Impact factor: 3.825

7.  Mechanisms of normal appearing corpus callosum injury related to pericallosal T1 lesions in multiple sclerosis using directional diffusion tensor and 1H MRS imaging.

Authors:  J Oh; R G Henry; C Genain; S J Nelson; D Pelletier
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-09       Impact factor: 10.154

8.  Coefficient D(av) is more sensitive than fractional anisotropy in monitoring progression of irreversible tissue damage in focal nonactive multiple sclerosis lesions.

Authors:  Alessandro Castriota-Scanderbeg; Fabrizio Fasano; Gisela Hagberg; Ugo Nocentini; Massimo Filippi; Carlo Caltagirone
Journal:  AJNR Am J Neuroradiol       Date:  2003-04       Impact factor: 3.825

9.  Resting state sensorimotor functional connectivity in multiple sclerosis inversely correlates with transcallosal motor pathway transverse diffusivity.

Authors:  Mark J Lowe; Erik B Beall; Ken E Sakaie; Katherine A Koenig; Lael Stone; Ruth Ann Marrie; Micheal D Phillips
Journal:  Hum Brain Mapp       Date:  2008-07       Impact factor: 5.038

10.  T2 relaxation time analysis in patients with multiple sclerosis: correlation with magnetization transfer ratio.

Authors:  Nickolas Papanikolaou; Eufrosini Papadaki; Spyros Karampekios; Martha Spilioti; Thomas Maris; Panos Prassopoulos; Nicholas Gourtsoyiannis
Journal:  Eur Radiol       Date:  2003-11-05       Impact factor: 5.315

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