Use of Various Quantification Techniques for Dental Radiological Images for Research Purposes

Quantifying radiological images is important in dental research, providing insights into anatomical and pathological aspects. This study addresses these challenges by exploring various techniques used in our previous studies for quantifying dental radiological images. The projection area fraction (PAF) method, using digital planimetry and ImageJ, assesses mandibular cysts on orthopantomograms. Compared with planimetry, the point- counting method evaluates cyst sizes for time efficiency and agreement. The projection area per length squared (PAL) technique analyzes dental curvature. The Cavalieri principle, applied to cone-beam computed tomography (CBCT) and magnetic resonance imaging (MRI), estimates mandibular and bone defect volumes and masseter muscle volume in patients. PAF showed high intra-observer agreement and cost-effectiveness in cyst monitoring. Point-counting and planimetry techniques were sufficiently agreeable for interchangeable use, with the latter being more time-efficient. The Cavalieri principle provided accurate volume estimations in CBCT images, with MRI assessments showing no significant changes in masseter muscle volume post-stabilization splint therapy. Quantifying radiological images using methods like PAF, point- counting, planimetry, PAL, and the Cavalieri principle provides accurate results for diagnosis, treatment planning, and research in dentistry. These methods enhance precision and objectivity, underscoring the importance of quantitative data in dental advancements.