3D shape analysis of XXXX using the writhe number as a discriminant for @entity397 .

@entity397 @entity439 @entity438
@entity438 are polymorphic focal arterial dilations, which harbor a variable risk of @entity397 leading to high morbidity and mortality. Increased detection of incidental @entity439 by non-invasive imaging has created a need for @entity397 risk stratification tools, in addition to simple @entity439 size, to guide optimal treatment strategy. To this end, shape analysis has emerged as a possible differentiator of @entity397 likelihood. A novel set of morphological parameters based on the writhe number are introduced here to describe @entity439 and discriminate @entity397 status. Classification in 117 @entity439 (52 ruptured and 65 unruptured) is based on statistical analysis of writhe number distribution on the @entity439 surface. @entity439 are analyzed both in isolation and including a portion of their parent vessel. Sidewall and bifurcation @entity439 subtypes were found to be best described by disjoint sets of shape parameters, yielding a morphological dichotomy between the two @entity439 classes. Writhe number analysis results in 86.7% accuracy on sidewall (SW) @entity439 and 71.2% accuracy on bifurcation (BF) @entity439 . This represents a 12% accuracy increase for both subtypes compared to the performance of seven established 2D and 3D indexes. The results support the utility of writhe number @entity439 shape analysis, with potential clinical value in @entity397 risk stratification.
