Raw data from bone volume measuraments and split classifications

Bone volume assessment and its linking to the split pattern is a recent topic in the literature. This process demands powerful resources to segment the region of interest from the tomography and render a 3D object. Furthermore, several factors are pertinent: device parameters, bone density, medullar architecture, segment surrounding structures, higher attenuation materials, object post-processing, and straightforward workflow. This study aimed to evaluate bone volume in the Sagittal Split Osteotomy (SSO). Preoperative and postoperative CT scans of 82 patients (164 SSO) were used in 3D Slicer 5.6 software. In the preoperative data, the CT and CBCT scans performed a strict bone volume analysis(mm³). On postoperative data, a classification attributed to the fracture: I (most desired), II, III, or IV (totally undesired/bad split), resulting in 4 groups: CT Class II, CT Class III, CBCT Class II, and CT Class II. The split pattern difference was statistically confirmed in the CT Class III group, whereas type I had the highest bone volume. The ANOVA test (p=0.088) was confirmed by Tukey's analysis (P<0.05). In conclusion, the study demonstrated a reproducible method for bone segmentation and volume measurement (mm³). Further studies are needed to broaden comprehension of the methodology for bone volume assessment.