BACKGROUND AND PURPOSE: In cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), a large increase in water diffusion has been found both inside and outside the cerebral lesions as detected on conventional MRI. The aim of the present study was to assess the sensitivity of diffusion tensor imaging for monitoring the progression of cerebral tissue damage during the course of CADASIL. METHODS: With the use of diffusion tensor imaging, whole brain trace of the diffusion tensor [Trace(D)] histograms were obtained in 22 CADASIL patients and 12 age-matched controls at baseline, in 14 patients after a mean delay of 21 months, and in 5 controls after a mean delay of 29 months. Parameters derived from these histograms (mean value, peak height, and peak location) were analyzed at baseline and during the follow-up. RESULTS: At baseline, all the histogram parameters differed between patients and controls and were found to be significantly correlated with both the Mini-Mental State Examination score and Rankin Scale score in the patient group. The follow-up study showed a decrease in the peak height associated with an increase in the mean value of whole brain Trace(D) histograms in the 14 CADASIL patients scanned twice. The diffusion changes appeared larger in the patients whose Rankin score increased during the study period. CONCLUSIONS: These results suggest that the measurement of water diffusion over time is a sensitive marker for the progression of tissue damage in the brain. Thus, quantitative diffusion MRI can be used to monitor disease progression in CADASIL and possibly in other types of small-vessel brain disorders.
BACKGROUND AND PURPOSE: In cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), a large increase in water diffusion has been found both inside and outside the cerebral lesions as detected on conventional MRI. The aim of the present study was to assess the sensitivity of diffusion tensor imaging for monitoring the progression of cerebral tissue damage during the course of CADASIL. METHODS: With the use of diffusion tensor imaging, whole brain trace of the diffusion tensor [Trace(D)] histograms were obtained in 22 CADASIL patients and 12 age-matched controls at baseline, in 14 patients after a mean delay of 21 months, and in 5 controls after a mean delay of 29 months. Parameters derived from these histograms (mean value, peak height, and peak location) were analyzed at baseline and during the follow-up. RESULTS: At baseline, all the histogram parameters differed between patients and controls and were found to be significantly correlated with both the Mini-Mental State Examination score and Rankin Scale score in the patient group. The follow-up study showed a decrease in the peak height associated with an increase in the mean value of whole brain Trace(D) histograms in the 14 CADASIL patients scanned twice. The diffusion changes appeared larger in the patients whose Rankin score increased during the study period. CONCLUSIONS: These results suggest that the measurement of water diffusion over time is a sensitive marker for the progression of tissue damage in the brain. Thus, quantitative diffusion MRI can be used to monitor disease progression in CADASIL and possibly in other types of small-vessel brain disorders.
Authors: D Hervé; N Molko; S Pappata; F Buffon; D LeBihan; M-G Bousser; H Chabriat Journal: J Neurol Neurosurg Psychiatry Date: 2005-02 Impact factor: 10.154
Authors: Dorothee Schoemaker; Yakeel T Quiroz; Heirangi Torrico-Teave; Joseph F Arboleda-Velasquez Journal: Neurosci Lett Date: 2019-01-08 Impact factor: 3.046
Authors: F Buffon; R Porcher; K Hernandez; A Kurtz; S Pointeau; K Vahedi; M-G Bousser; H Chabriat Journal: J Neurol Neurosurg Psychiatry Date: 2006-02 Impact factor: 10.154
Authors: Marie Monet-Leprêtre; Boris Bardot; Barbara Lemaire; Valérie Domenga; Ophélia Godin; Martin Dichgans; Elisabeth Tournier-Lasserve; Michel Cohen-Tannoudji; Hugues Chabriat; Anne Joutel Journal: Brain Date: 2009-03-17 Impact factor: 13.501
Authors: Yumi Yamamoto; Masafumi Ihara; Carina Tham; Roger W C Low; Janet Y Slade; Tim Moss; Arthur E Oakley; Tuomo Polvikoski; Raj N Kalaria Journal: Stroke Date: 2009-04-09 Impact factor: 7.914
Authors: Mike O'Sullivan; Elmar Ngo; Anand Viswanathan; Eric Jouvent; Andreas Gschwendtner; Philipp G Saemann; Marco Duering; Chahin Pachai; Marie-Germaine Bousser; Hugues Chabriat; Martin Dichgans Journal: Neurobiol Aging Date: 2007-10-25 Impact factor: 4.673