Quantitation of brain tissue changes associated with white matter hyperintensities by diffusion-weighted and magnetization transfer imaging: The LADIS (leukoaraiosis and disability in the elderly) study

Purpose To explore the value of diffusion‐weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral tissue changes associated with ageing and white matter hyperintensities (WMH). Materials and Methods DWI (n = 340) and MTI (n = 177) wer...

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Published inJournal of magnetic resonance imaging Vol. 29; no. 2; pp. 268 - 274
Main Authors Ropele, Stefan, Seewann, Alexandra, Gouw, Alida A., van der Flier, Wiesje M., Schmidt, Reinhold, Pantoni, Leonardo, Inzitari, Domenico, Erkinjuntti, Timo, Scheltens, Philip, Wahlund, Lars O., Waldemar, Gunhild, Chabriat, Hugues, Ferro, José, Hennerici, Michael, O'Brien, John, Wallin, Anders, Langhorne, Peter, Visser, Marieke C., Barkhof, Frederik, Fazekas, Franz
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.02.2009
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ISSN1053-1807
1522-2586
DOI10.1002/jmri.21580

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Abstract Purpose To explore the value of diffusion‐weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral tissue changes associated with ageing and white matter hyperintensities (WMH). Materials and Methods DWI (n = 340) and MTI (n = 177) were performed in nine centers of the multinational Leukoaraiosis And DISability (LADIS) study investigating the impact of WMH on 65‐ to 85‐year‐old individuals without prior disability. We assessed the apparent diffusion coefficient (ADC) and magnetization transfer ratio (MTR) of normal appearing brain tissue (NABT) and within WMH and related them to subjects' age and WHM severity according to the Fazekas score. Results ADC and MTR values showed a significant inter‐site variation, which was stronger for the MTR. After z‐transformation multiple regression analysis revealed WMH severity and age as significant predictors of global ADC and MTR changes. Only lesional ADC, but not MTR was related to WMH severity. Conclusion ADC and MTR are both sensitive for age and WMH related changes in NABT. The ADC is more sensitive for tissue changes within WMH and appears to be more robust for multicenter settings. J. Magn. Reson. Imaging 2009;29:268–274. © 2009 Wiley‐Liss, Inc.
AbstractList To explore the value of diffusion-weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral tissue changes associated with ageing and white matter hyperintensities (WMH). DWI (n = 340) and MTI (n = 177) were performed in nine centers of the multinational Leukoaraiosis And DISability (LADIS) study investigating the impact of WMH on 65- to 85-year-old individuals without prior disability. We assessed the apparent diffusion coefficient (ADC) and magnetization transfer ratio (MTR) of normal appearing brain tissue (NABT) and within WMH and related them to subjects' age and WHM severity according to the Fazekas score. ADC and MTR values showed a significant inter-site variation, which was stronger for the MTR. After z-transformation multiple regression analysis revealed WMH severity and age as significant predictors of global ADC and MTR changes. Only lesional ADC, but not MTR was related to WMH severity. ADC and MTR are both sensitive for age and WMH related changes in NABT. The ADC is more sensitive for tissue changes within WMH and appears to be more robust for multicenter settings.
To explore the value of diffusion-weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral tissue changes associated with ageing and white matter hyperintensities (WMH).PURPOSETo explore the value of diffusion-weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral tissue changes associated with ageing and white matter hyperintensities (WMH).DWI (n = 340) and MTI (n = 177) were performed in nine centers of the multinational Leukoaraiosis And DISability (LADIS) study investigating the impact of WMH on 65- to 85-year-old individuals without prior disability. We assessed the apparent diffusion coefficient (ADC) and magnetization transfer ratio (MTR) of normal appearing brain tissue (NABT) and within WMH and related them to subjects' age and WHM severity according to the Fazekas score.MATERIALS AND METHODSDWI (n = 340) and MTI (n = 177) were performed in nine centers of the multinational Leukoaraiosis And DISability (LADIS) study investigating the impact of WMH on 65- to 85-year-old individuals without prior disability. We assessed the apparent diffusion coefficient (ADC) and magnetization transfer ratio (MTR) of normal appearing brain tissue (NABT) and within WMH and related them to subjects' age and WHM severity according to the Fazekas score.ADC and MTR values showed a significant inter-site variation, which was stronger for the MTR. After z-transformation multiple regression analysis revealed WMH severity and age as significant predictors of global ADC and MTR changes. Only lesional ADC, but not MTR was related to WMH severity.RESULTSADC and MTR values showed a significant inter-site variation, which was stronger for the MTR. After z-transformation multiple regression analysis revealed WMH severity and age as significant predictors of global ADC and MTR changes. Only lesional ADC, but not MTR was related to WMH severity.ADC and MTR are both sensitive for age and WMH related changes in NABT. The ADC is more sensitive for tissue changes within WMH and appears to be more robust for multicenter settings.CONCLUSIONADC and MTR are both sensitive for age and WMH related changes in NABT. The ADC is more sensitive for tissue changes within WMH and appears to be more robust for multicenter settings.
PURPOSE: To explore the value of diffusion-weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral tissue changes associated with ageing and white matter hyperintensities (WMH). MATERIALS AND METHODS: DWI (n = 340) and MTI (n = 177) were performed in nine centers of the multinational Leukoaraiosis And DISability (LADIS) study investigating the impact of WMH on 65- to 85-year-old individuals without prior disability. We assessed the apparent diffusion coefficient (ADC) and magnetization transfer ratio (MTR) of normal appearing brain tissue (NABT) and within WMH and related them to subjects' age and WHM severity according to the Fazekas score. RESULTS: ADC and MTR values showed a significant inter-site variation, which was stronger for the MTR. After z-transformation multiple regression analysis revealed WMH severity and age as significant predictors of global ADC and MTR changes. Only lesional ADC, but not MTR was related to WMH severity. CONCLUSION: ADC and MTR are both sensitive for age and WMH related changes in NABT. The ADC is more sensitive for tissue changes within WMH and appears to be more robust for multicenter settings.
Purpose To explore the value of diffusion-weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral tissue changes associated with ageing and white matter hyperintensities (WMH). Materials and Methods DWI (n = 340) and MTI (n = 177) were performed in nine centers of the multinational Leukoaraiosis And DISability (LADIS) study investigating the impact of WMH on 65- to 85-year-old individuals without prior disability. We assessed the apparent diffusion coefficient (ADC) and magnetization transfer ratio (MTR) of normal appearing brain tissue (NABT) and within WMH and related them to subjects' age and WHM severity according to the Fazekas score. Results ADC and MTR values showed a significant inter-site variation, which was stronger for the MTR. After z-transformation multiple regression analysis revealed WMH severity and age as significant predictors of global ADC and MTR changes. Only lesional ADC, but not MTR was related to WMH severity. Conclusion ADC and MTR are both sensitive for age and WMH related changes in NABT. The ADC is more sensitive for tissue changes within WMH and appears to be more robust for multicenter settings. J. Magn. Reson. Imaging 2009; 29:268-274.
Purpose To explore the value of diffusion‐weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral tissue changes associated with ageing and white matter hyperintensities (WMH). Materials and Methods DWI (n = 340) and MTI (n = 177) were performed in nine centers of the multinational Leukoaraiosis And DISability (LADIS) study investigating the impact of WMH on 65‐ to 85‐year‐old individuals without prior disability. We assessed the apparent diffusion coefficient (ADC) and magnetization transfer ratio (MTR) of normal appearing brain tissue (NABT) and within WMH and related them to subjects' age and WHM severity according to the Fazekas score. Results ADC and MTR values showed a significant inter‐site variation, which was stronger for the MTR. After z‐transformation multiple regression analysis revealed WMH severity and age as significant predictors of global ADC and MTR changes. Only lesional ADC, but not MTR was related to WMH severity. Conclusion ADC and MTR are both sensitive for age and WMH related changes in NABT. The ADC is more sensitive for tissue changes within WMH and appears to be more robust for multicenter settings. J. Magn. Reson. Imaging 2009;29:268–274. © 2009 Wiley‐Liss, Inc.
Author Fazekas, Franz
Langhorne, Peter
Erkinjuntti, Timo
Wahlund, Lars O.
Waldemar, Gunhild
Visser, Marieke C.
Inzitari, Domenico
van der Flier, Wiesje M.
Pantoni, Leonardo
Ferro, José
Wallin, Anders
Schmidt, Reinhold
Hennerici, Michael
O'Brien, John
Ropele, Stefan
Gouw, Alida A.
Chabriat, Hugues
Barkhof, Frederik
Scheltens, Philip
Seewann, Alexandra
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Enzinger C, Fazekas F, Ropele S, Schmidt R. Progression of cerebral white matter lesions: clinical and radiological considerations. J Neurol Sci 2007; 257: 5-10.
Pantoni L, Basile A, Pracucci G, et al. Impact of age-related cerebral white matter changes on the transition to disability - the LADIS study:rationale, design and methodology. Neuroepidemiology 2005; 24: 51-62.
Ropele S, Filippi M, Valsasina P, et al. Assessment and correction of B1 induced errors in magnetization transfer ratio measurements. Magn Reson Med 2005; 53: 134-140.
van Straaten EC, Fazekas F, Rostrup E, et al. Impact of white matter hyperintensities scoring method on correlations with clinical data: the LADIS study. Stroke 2006; 37: 836-840.
O'Sullivan M, Morris R, Huckstep B, Jones D, Williams S, Markus H. Diffusion tensor MRI correlates with executive dysfunction in patients with ischemic leukoaraiosis. J Neurol Neurosurg Psychiatry 2004; 75: 441-447.
Pantoni L, Garcia J. The significance of cerebral white matter abnormalities 100 years after Binswanger's report: a review. Stroke 1995; 26: 1293-1301.
Rovaris M, Iannucci G, Cercignani M, et al. Age-related changes in conventional, magnetization transfer, and diffusion-tensor MR imaging findings: study with whole-brain tissue histogram analysis. Radiology 2003; 227: 731-738.
Armstrong C, Traipe E, Hunter J, et al. Age-related, regional, hemispheric, and medial-lateral differences in myelin integrity in vivo in the normal adult brain. AJNR Am J Neuroradiol 2004; 25: 977-984.
Firbank M, Minett T, O'Brien J. Changes in DWI and MRS associated with white matter hyperintensities in elderly subjects. Neurology 2003; 61: 950-954.
Fazekas F, Ropele S, Bammer R, Kapeller P, Stollberger R, Schmidt R. Novel imaging technologies in the assessment of cerebral ageing and vascular dementia. J Neural Transm Suppl 2000; 59: 45-52.
Fazekas F, Kleinert R, Offenbacher H, et al. Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology 1993; 43: 1683-1689.
Fazekas F, Ropele S, Enzinger C, et al. MTI of white matter hyperintensities. Brain 2005; 128: 2926-2932.
Helenius J, Soinne L, Perkiö J, et al. Diffusion-weighted MR imaging in normal human brains in various age groups. AJNR Am J Neuroradiol 2002; 23: 194-199.
Fazekas F, Schmidt R, Kleinert R, Kapeller P, Roob G, Flooh E. The spectrum of age-associated brain abnormalities: their measurement and histopathological correlates. J Neural Transm 1998; 53(Suppl): S31-S39.
Ge Y, Grossman R, Babb J, Rabin M, Mannon L, Kolson D. Age-related total gray matter and white matter changes in normal adult brain. Part II. Quantitative magnetization transfer ration histogram analysis. AJNR Am J Neuroradiol 2002; 23: 1334-1341.
Yoshita M, Fletcher E, deCarli C. Current concepts of analysis of cerebral white matter hyperintensities on magnetic resonance imaging. Top Magn Reson Imaging 2005; 16: 399-407.
Tortorella C, Viti B, Bozzali M, et al. A magnetization transfer histogram study of normal-appearing brain tissue in MS. Neurology 2000; 54: 186-193.
Benedetti B, Charil A, Rovaris M, et al. Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI. Neurology 2006; 66: 535-539.
Berry I, Barker GJ, Barkhof F, et al. A multicenter measurement of magnetization transfer ratio in normal white matter. J Magn Reson Imaging 1999; 9: 441-446.
Pfefferbaum A, Sullivan E. Increased brain white matter diffusivity in normal adult aging: relationship to anisotropy and partial voluming. Magn Reson Med 2003; 49: 953-961.
Inglese M, Ge Y. Quantitative MRI:hidden age-related changes in brain tissue. Top Magn Reson Imaging 2004; 15: 355-363.
Graham SJ, Henkelman RM. Understanding pulsed magnetization transfer. J Magn Reson Imaging 1997; 7: 903-912.
Enzinger C, Smith S, Fazekas F, et al. Lesion probability maps of white matter hyperintensities in elderly individuals: results of the Austrian stroke prevention study. J Neurol 2006; 253: 1064-1070.
Schmidt R, Scheltens P, Erkinjuntti T, et al. White matter lesion progression: a surrogate endpoint for trials in small-vessel disease. Neurology 2004; 63: 139-144.
Scheltens P, Erkinjunti T, Leys D, et al. White matter changes on CT and MRI: an overview of visual rating scales. Eur Neurol 1998; 39: 80-89.
Cercignani M, Bammer R, Sormani MP, Fazekas F, Filippi M. Inter-sequence and inter-imaging unit variability of diffusion tensor MR imaging histogram-derived metrics of the brain in healthy volunteers. AJNR Am J Neuroradiol 2003; 24: 638-643.
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References_xml – reference: Enzinger C, Fazekas F, Ropele S, Schmidt R. Progression of cerebral white matter lesions: clinical and radiological considerations. J Neurol Sci 2007; 257: 5-10.
– reference: Tortorella C, Viti B, Bozzali M, et al. A magnetization transfer histogram study of normal-appearing brain tissue in MS. Neurology 2000; 54: 186-193.
– reference: Pantoni L, Basile A, Pracucci G, et al. Impact of age-related cerebral white matter changes on the transition to disability - the LADIS study:rationale, design and methodology. Neuroepidemiology 2005; 24: 51-62.
– reference: Naganawa S, Sato K, Katagiri T, Mimura T, Ishigaki T. Regional ADC values of the normal brain: differences due to age, gender, and laterality. Eur Radiol 2003; 13: 6-11.
– reference: Ge Y, Grossman R, Babb J, Rabin M, Mannon L, Kolson D. Age-related total gray matter and white matter changes in normal adult brain. Part II. Quantitative magnetization transfer ration histogram analysis. AJNR Am J Neuroradiol 2002; 23: 1334-1341.
– reference: Helenius J, Soinne L, Perkiö J, et al. Diffusion-weighted MR imaging in normal human brains in various age groups. AJNR Am J Neuroradiol 2002; 23: 194-199.
– reference: Fazekas F, Kleinert R, Offenbacher H, et al. Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology 1993; 43: 1683-1689.
– reference: Cercignani M, Bammer R, Sormani MP, Fazekas F, Filippi M. Inter-sequence and inter-imaging unit variability of diffusion tensor MR imaging histogram-derived metrics of the brain in healthy volunteers. AJNR Am J Neuroradiol 2003; 24: 638-643.
– reference: Inglese M, Ge Y. Quantitative MRI:hidden age-related changes in brain tissue. Top Magn Reson Imaging 2004; 15: 355-363.
– reference: van Straaten EC, Fazekas F, Rostrup E, et al. Impact of white matter hyperintensities scoring method on correlations with clinical data: the LADIS study. Stroke 2006; 37: 836-840.
– reference: Schmidt R, Scheltens P, Erkinjuntti T, et al. White matter lesion progression: a surrogate endpoint for trials in small-vessel disease. Neurology 2004; 63: 139-144.
– reference: Yoshita M, Fletcher E, deCarli C. Current concepts of analysis of cerebral white matter hyperintensities on magnetic resonance imaging. Top Magn Reson Imaging 2005; 16: 399-407.
– reference: Graham SJ, Henkelman RM. Understanding pulsed magnetization transfer. J Magn Reson Imaging 1997; 7: 903-912.
– reference: Filippi M, Rocca M, G C. The use of quantitative magnetic-resonance-based technique to monitor the evolution of multiple sclerosis. Lancet Neurol 2003; 2: 337-346.
– reference: Scheltens P, Erkinjunti T, Leys D, et al. White matter changes on CT and MRI: an overview of visual rating scales. Eur Neurol 1998; 39: 80-89.
– reference: Rovaris M, Iannucci G, Cercignani M, et al. Age-related changes in conventional, magnetization transfer, and diffusion-tensor MR imaging findings: study with whole-brain tissue histogram analysis. Radiology 2003; 227: 731-738.
– reference: Fazekas F, Ropele S, Bammer R, Kapeller P, Stollberger R, Schmidt R. Novel imaging technologies in the assessment of cerebral ageing and vascular dementia. J Neural Transm Suppl 2000; 59: 45-52.
– reference: Fazekas F, Ropele S, Enzinger C, et al. MTI of white matter hyperintensities. Brain 2005; 128: 2926-2932.
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– reference: Berry I, Barker GJ, Barkhof F, et al. A multicenter measurement of magnetization transfer ratio in normal white matter. J Magn Reson Imaging 1999; 9: 441-446.
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Snippet Purpose To explore the value of diffusion‐weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of...
To explore the value of diffusion-weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of cerebral...
Purpose To explore the value of diffusion-weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of...
PURPOSE: To explore the value of diffusion-weighted imaging (DWI) and magnetization transfer imaging (MTI) for the improved detection and quantification of...
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StartPage 268
SubjectTerms 80 and over
Aged
Aged, 80 and over
ageing
Analysis of Variance
brain
diffusion
Diffusion Magnetic Resonance Imaging
Female
Humans
Imaging
Imaging, Three-Dimensional - methods
Leukoaraiosis
Leukoaraiosis - pathology
Magnetic Resonance Imaging
Magnetic Resonance Imaging - methods
magnetization transfer
Male
methods
pathology
Psychiatry
Psykiatri
Severity of Illness Index
Three-Dimensional
white matter hyperintensities
Title Quantitation of brain tissue changes associated with white matter hyperintensities by diffusion-weighted and magnetization transfer imaging: The LADIS (leukoaraiosis and disability in the elderly) study
URI https://api.istex.fr/ark:/67375/WNG-NQ910896-0/fulltext.pdf
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https://www.ncbi.nlm.nih.gov/pubmed/19161174
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https://www.proquest.com/docview/66857862
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