BACKGROUND AND AIMS: Though magnetic resonance imaging (MRI) plays an important role in studying pathological changes in central nervous system, a quantitative measure of contrast variance on MRI, allowing the detection of subtle signal variances in pathological processes, is not readily available for routine imaging. We report on the first experiences with evaluation of routine T2 relaxation time measurement as a diagnostic tool in routine imaging of suspected myelination disorders. METHODS: Twenty patients suffering from defined or suspected myelination disorders were examined by MRI. T2 relaxation time maps of the brain were derived from a triple spin echo sequence. T2 values were measured for each patient by regions of interest (ROI) analysis. As references age-dependent T2 prediction values in normal maturating brains were calculated by using a biexponentional function reported earlier. Deviations from these prediction values were used as an assisting tool both for detection of pathology and for monitoring of changes over time. These quantitative results were compared to conventional visual inspections by two independent neuroradiologists. RESULTS: In 18 patients with single diagnostic MRI, the T2 measurements were more graduated or definite in 9/18 cases, confirmatory in 9/18 cases. In two patients with MRI follow up, the dynamic clinical course of the disease had no correlate in visual inspection of the images but was associated with the quantitative T2 values. CONCLUSIONS: Quantitative T2 measurement is a promising tool for routine imaging as a complementary method in detecting and monitoring of suspected myelination disorders.
BACKGROUND AND AIMS: Though magnetic resonance imaging (MRI) plays an important role in studying pathological changes in central nervous system, a quantitative measure of contrast variance on MRI, allowing the detection of subtle signal variances in pathological processes, is not readily available for routine imaging. We report on the first experiences with evaluation of routine T2 relaxation time measurement as a diagnostic tool in routine imaging of suspected myelination disorders. METHODS: Twenty patients suffering from defined or suspected myelination disorders were examined by MRI. T2 relaxation time maps of the brain were derived from a triple spin echo sequence. T2 values were measured for each patient by regions of interest (ROI) analysis. As references age-dependent T2 prediction values in normal maturating brains were calculated by using a biexponentional function reported earlier. Deviations from these prediction values were used as an assisting tool both for detection of pathology and for monitoring of changes over time. These quantitative results were compared to conventional visual inspections by two independent neuroradiologists. RESULTS: In 18 patients with single diagnostic MRI, the T2 measurements were more graduated or definite in 9/18 cases, confirmatory in 9/18 cases. In two patients with MRI follow up, the dynamic clinical course of the disease had no correlate in visual inspection of the images but was associated with the quantitative T2 values. CONCLUSIONS: Quantitative T2 measurement is a promising tool for routine imaging as a complementary method in detecting and monitoring of suspected myelination disorders.
Authors: Vijay Antharam; Joanna F Collingwood; John-Paul Bullivant; Mark R Davidson; Saurav Chandra; Albina Mikhaylova; Mary E Finnegan; Christopher Batich; John R Forder; Jon Dobson Journal: Neuroimage Date: 2011-08-16 Impact factor: 6.556
Authors: Karin Weissenborn; Eva Bültmann; Frank Donnerstag; Anja M Giesemann; Friedrich Götz; Hans Worthmann; Meike Heeren; Jan Kielstein; Anke Schwarz; Heinrich Lanfermann; Xiao-Qi Ding Journal: Neuroradiology Date: 2013-04-05 Impact factor: 2.804
Authors: V V Eylers; A A Maudsley; P Bronzlik; P R Dellani; H Lanfermann; X-Q Ding Journal: AJNR Am J Neuroradiol Date: 2015-11-12 Impact factor: 3.825
Authors: Alvaro Paniagua Bravo; N D Forkert; A Schulz; U Löbel; J Fiehler; X Ding; J Sedlacik; M Rosenkranz; E Goebell Journal: Clin Neuroradiol Date: 2012-12-23 Impact factor: 3.649