Neuromorphometry of primary XXXX by magnetic resonance imaging.

@entity1 @entity1313 @entity5 @entity39 @entity11 @entity816 @entity463 @entity3271
Magnetic resonance imaging is a technique for the diagnosis and classification of @entity1313 . Discrete compactness is a morphological feature of two-dimensional and three-dimensional objects. This measure determines the compactness of a discretized object depending on the sum of the areas of the connected voxels and has been used for understanding the morphology of @entity5 . We hypothesized that regarding @entity1313 , we may improve the @entity5 grade classification. We analyzed the values in 20 @entity1 with different subtypes of primary @entity1313 : @entity816 , @entity3271 , and @entity463 multiforme subdivided into the contrast-enhanced and the @entity5 regions. The preliminary results show an inverse relationship between the compactness value and the @entity5 grade of @entity11 . Astrocytomas exhibit a mean of [Formula: see text], whereas @entity3271 exhibit a mean of [Formula: see text]. In contrast, the contrast-enhanced region of the @entity463 presented a mean of [Formula: see text], and the @entity39 region presented a mean of [Formula: see text]. However, the volume and area of the enclosing surface did not show a relationship with the @entity5 grade of the @entity11 . Discrete compactness appears to be a stable characteristic between primary @entity1313 of different @entity5 grades, because similar values were obtained from different @entity1 with the same type of @entity5 .
