Cone-beam computed tomography provides a true volumetric representation of the jaws; however, diagnostic interpretation of this dataset remains largely subjective and inconsistently structured in routine clinical practice. Jaw lesions express their biological behavior through both internal voxel characteristics and cumulative volumetric bone response, which cannot be fully understood using a single interpretative display. This chapter introduces a voxel-centric interpretative approach for MPR analysis, emphasizing systematic assessment of voxel intensity, internal architecture, marginal translation, cortical involvement, lesion–bone interface, and patterns of bone loss. Complementing this, a visual volumetric classification system is presented for three-dimensional CBCT images, categorizing jaw lesions based on hypovolumetric, normovolumetric, and hypervolumetric expression, along with cortical dominance and internal organization. Together, these frameworks translate cumulative voxel behavior into reproducible radiologic phenotypes that reflect underlying biological processes rather than isolated morphologic descriptors. By integrating structured 2D and 3D CBCT interpretation, this chapter aims to reduce observer variability, improve diagnostic consistency, and align radiological assessment with lesion biology. The proposed approach establishes a standardized interpretative pathway that serves as a foundation for advanced imaging analysis, radiomics integration, and future artificial intelligence–driven diagnostic models in oral and maxillofacial radiology.