EVALUATING BONE TISSUE BIOTYPES IN THE MAXILLARY POSTERIOR REGION: A CBCTBASED OBSERVATIONAL STUDY WITH CLINICAL CASE REPORT IN ELDERLY PATIENTS

Modern restorative dentistry relies on dental implantation as its fundamental procedure to provide functional and
aesthetic solutions for patients who have lost their teeth. The success of implantation depends substantially on bone
density and structural integrity which differ according to patient age and gender as well as the specific anatomical
area. Preoperative planning relies heavily on Cone-beam computed tomography (CBCT) because it provides precise
measurements of bone structure and density. The implantological advancements have not eliminated severe alveolar
bone atrophy as a major challenge because bone grafting procedures lead to increased patient morbidity and treatment
resistance. The subperiosteal implant approach shows promise yet traditional surgical approaches require invasive
procedures and produce elevated complication rates.
This research investigates bone density variations between genders and ages while developing contemporary digital
methods for subperiosteal implant placement. A 67-year-old male patient with Cawood and Howell class VI
mandibular atrophy underwent digitally planned subperiosteal implantation as presented in the clinical case. The
customized implant received fabrication through CBCT and CAD/CAM design followed by 3D printing before its
single-stage placement. The postoperative evaluation at six months showed that the patient regained their chewing
ability and maintained healthy soft tissues without any adverse effects thus proving the technique’s effectiveness. The
research demonstrates why bone density evaluation must be tailored to individual gender needs during implant
planning and shows how digital subperiosteal implantation represents a revolutionary technique for treating atrophic
cases. The developed solutions match the increasing need for individualized minimally invasive dental rehabilitation.