DOI: 10.4103/jiaomr.jiaomr_398_25 ISSN: 0972-1363

Comparative Assessment of the Zygomatic Bone and Adjacent Structures for Optimized Implant Planning: A Retrospective Cone Beam Computed Tomography Study

Akash G. Bhokare, Amit A. Mhapuskar, Darshan R. Prasad Hiremutt, Rutuja Jadhav, Anshuman Jamdade, Mandavi S. Waghmare

Background:

For the rehabilitation of the severely atrophic maxilla, alternatives to traditional implant placement are frequently required. Zygomatic implants are now a reliable choice, but their placement requires a careful evaluation of the morphology of the zygomatic bone and how it fits with nearby structures, especially the maxillary sinus and orbital floor.

Objective:

The present study employed cone beam computed tomography (CBCT) to examine variations in maxillary sinus concavity, zygomatic orbital floor (ZOF) depth, and zygomatic bone dimensions across genders and age cohorts.

Methods:

In this retrospective study, 78 archived CBCT scans (41 from males and 37 from females) were categorized into three age groups: 45–55, 56–65, and 66–75. Specific anatomical reference points were used to measure the ZOF depth, sinus concavity, and zygomatic bone parameters (M1–M6) linearly. Statistical analysis was performed with SPSS (version 25.0). Depending on the distribution of the data, both parametric and non-parametric tests were used. The intraclass correlation coefficient (ICC) was used to assess measurement reliability.

Results:

There were significant differences between age groups ( P < 0.05) in some zygomatic bone parameters, especially posterior width (M1), projection (M3), and height (M4). In general, males showed higher mean values than females. While sinus concavity showed a tendency towards deeper morphology without reaching statistical significance, an increase in ZOF depth was noted with increasing age. High agreement was found in the reliability assessment (ICC > 0.9).

Conclusion:

Implant angulation and surgical planning may be impacted by morphometric variations of the zygomatic complex related to age and gender. To achieve anatomically guided and predictable zygomatic implant placement, preoperative CBCT evaluation remains crucial.

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