Quantitative assessment of MRI lesion load in multiple sclerosis. A comparison of conventional spin-echo with fast fluid-attenuated inversion recovery

Authors
Category Primary study
JournalBrain : a journal of neurology
Year 1996
In this study, we compared a fast fluid‐attenuated inversion recovery (fast‐FLAIR) sequence to conventional spin‐echo (CSE) in the evaluation of brain MRI lesion loads of seven patients with clinically definite multiple sclerosis. Interleaved CSE (3000/20, 5 mm contiguous axial slices) and fast‐FLAIR (9000/150/2200, 5 mm contiguous axial slices) sequences were performed on a 1.0 T machine. Lesions were counted consensually by two observers and then segmented independently by two other observers using a local thresholding technique, with subsequent manual editing in the case of poorly defined lesions. Four hundred and two lesions were detected in at least one of the two sequences: 128 were seen only on fast‐FLAIR, 17 only on CSE. Forty‐one lesions were larger on fast‐FLAIR, while no lesion was considered larger on CSE. The numbers of periventricular (P = 0.05), cortical/subcortical (P = 0.02) and discrete (P = 0.05) lesions detected using fast‐FLAIR were higher than those detected using CSE. The median lesion load was 7185 mm3 on CSE and 8418 mm3 on the fast‐FLAIR, the average being 18% (range = 11.6‐29%) higher on the fast‐FLAIR images. Lesion contrast ratio was higher for lesions on the fast‐FLAIR than on the CSE sequence (P < 0.0001). The percentages of poorly defined lesions which needed manual editing after the local thresholding technique was applied and the total time needed for the measurements were lower (P < 0.001) when fast‐FLAIR images were used compared with CSE. This resulted in a reduced inter‐rater coefficient of variation in measuring lesion volumes. Our data indicate that fast‐FLAIR sequences are more sensitive than CSE in detecting multiple sclerosis lesion burden and that fast‐FLAIR is a promising technique for natural history studies and clinical trials in multiple sclerosis.
Epistemonikos ID: 38b391f932e1962b7a9725d9114191ff37206879
First added on: Mar 31, 2022