Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models

BACKGROUND: Various medical fields rely on detailed anatomical knowledge of the distal radius. Current studies are limited to two-dimensional analysis and biased by varying measurement locations. The aims were to 1) generate 3D shape models of the distal radius and investigate variations in the 3D shape, 2) generate and assess morphometrics in standardized cut planes, and 3) test the model's classification accuracy. METHODS: The local radiographic database was screened for CT-scans of intact radii. 1) The data sets were segmented and 3D surface models generated. Statistical 3D shape models were computed (overall, gender and side separate) and the 3D shape variation assessed by evaluating the number of modes. 2) Anatomical landmarks were assigned and used to define three standardized cross-sectional cut planes perpendicular to the main axis. Cut planes were generated for the mean shape models and each individual radius. For each cut plane, the following morphometric parameters were calculated and compared: maximum width and depth, perimeter and area. 3) The overall shape model was utilized to evaluate the predictive value (leave one out cross validation) for gender and side identification within the study population. RESULTS: Eighty-six radii (45 left, 44% female, 40 +/- 18 years) were included. 1) Overall, side and gender specific statistical 3D models were successfully generated. The first mode explained 37% of the overall variance. Left radii had a higher shape variance (number of modes: 20 female / 23 male) compared to right radii (number of modes: 6 female / 6 male). 2) Standardized cut planes could be defined using anatomical landmarks. All morphometric parameters decreased from distal to proximal. Male radii were larger than female radii with no significant side difference. 3) The overall shape model had a combined median classification probability for side and gender of 80%. CONCLUSIONS: Statistical 3D shape models of the distal radius can be generated using clinical CT-data sets. These models can be used to assess overall bone variance, define and analyze standardized cut-planes, and identify the gender of an unknown sample. These data highlight the potential of shape models to assess the 3D anatomy and anatomical variance of human bones

From Perviousness to Plaque Imaging in Acute Basilar Occlusions: The Impact of Underlying Stenosis and How to Detect It.

Background and Purpose- Recent studies show that mechanical thrombectomy of acute basilar artery occlusions (BAO) results in high rates of successful recanalization and good outcomes, but predictors are not completely established yet. Varying occlusion types may benefit differently, and especially, an underlying basilar stenosis (BS) seems to have an impact. Aim of this study was to investigate angiographic and clinical differences in BAO subtypes and to test the potential of perviousness measures for a preinterventional identification of clinically relevant different occlusion types. Methods- All consecutive patients with acute BAO, endovascular treated at a single comprehensive stroke center, were included. Different occlusion patterns, especially underlying BS, were identified and analyzed in respect of angiographic and clinical (National Institutes of Health Stroke Scale/modified Rankin Scale) outcome parameters (N=115). Thrombus perviousness measures (change in thrombus attenuation Δt and corrected void fraction ε) were assessed in admission computed tomography imaging and correlated to different etiological subgroups. Results- Despite comparable rates of successful recanalization (87% for BAO with BS versus 95% without BS), the BS group showed worse clinical outcome with higher National Institutes of Health Stroke Scale/modified Rankin Scale values (P=0.002/0.003). The group of BS turned out to have lower thrombus density values in unenhanced scans (mean, 42.0 Hounsfield units) and higher perviousness measures Δt (mean, 34.6 Hounsfield units) and ε (mean, 0.23) than thrombi without an underlying BS (mean, 53.6 Hounsfield units/13.1 Hounsfield units/0.08, P=0.01/ 0.004/ 0.001). Conclusions- In agreement with previous studies, outcome of mechanical thrombectomy of BAO seems to depend on pathogenesis with less clinical benefit for underlying BS, raising the question of early identification of this subgroup. Perviousness showed a high potential to differentiate acute BAO with and without BS, possibly usable as an admission imaging marker for BS