PURPOSE: To develop a method to automatically detect @entity15 ( @entity15 ) lesions, located both in white matter (WM) and in the cortex, in @entity1 with @entity717 and @entity66 stage. MATERIALS AND METHODS: We developed a lesion detection method, based on the k-nearest neighbor (k-NN) technique, to detect lesions as small as 0.0036   mL. This method uses the image intensity information from up to four different 3D magnetic resonance imaging (MRI) sequences (magnetization-prepared rapid gradient-echo, MPRAGE; magnetization-prepared two inversion-contrast rapid gradient-echo, MP2RAGE; 3D fluid-attenuated inversion recovery, FLAIR; and 3D double-inversion recovery, @entity17367 ), acquired on a 3T scanner. To these intensity features we added the information obtained by the spatial coordinates and tissue prior probabilities provided by the International Consortium for Brain Mapping (ICBM). Quantitative assessment was done in 39 early-stage @entity15 @entity1 with a "leave-one-out" cross-validation. RESULTS: The best lesion detection rate (DR) performance in WM was obtained using MP2RAGE, FLAIR, and @entity17367 intensities (77% for lesions >= 0.0036   mL; 85% for lesions >= 0.005   mL). Similar results were obtained excluding the @entity17367 intensity as well as when using only MPRAGE and FLAIR (DR   =   75%, P   =   0.5720). However, the combination of FLAIR with @entity17367 and MP2RAGE appeared to be the best for detecting cortical lesions (DR   =   62%), compared to the other combination of sequences (P < 0.001). CONCLUSION: For WM lesion detection, similar results were observed when only conventional clinical sequences (FLAIR, MPRAGE) were used compared to a combination of conventional and "advanced" sequences (MP2 @entity5764 , @entity17367 ). Cortical lesion detection increased significantly when "advanced" sequences were used. J. Magn. Reson. Imaging 2015.

Automated detection of white matter and cortical lesions in early stages of XXXX .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity66 :: ('MESH:D004194', 'Disease') :: ['early disease'] @entity17367 :: ('554', 'Gene') :: ['DIR'] @entity5764 :: ('101669765', 'Gene') :: ['RAGE'] @entity717 :: ('MESH:D009069', 'Disease') :: ['low disability'] @entity15 :: ('MESH:D009103', 'Disease') :: ['MS', 'multiple sclerosis']
@entity15 :: (MESH:D009103,Disease) :: ['multiple sclerosis']
