Abstract
Objectives
Atrophic resorption of the maxillary alveolar ridge is a complication that makes implantological rehabilitation critical. Our aim was to develop a novel computer aided procedure for the accurate quantitative assessment of maxillary residual ridge resorption including pneumatisation of the maxillary sinus that goes beyond previously described approaches and to apply it to a large dataset.
Materials and methods
To develop and refine the method, we performed a retrospective analysis using computed tomography data from 405 patients to generate segmented, three-dimensional models of zygomaticomaxillary bones and maxillary sinuses. Using anatomical landmarks and orientation lines or planes, all models were aligned automatically to subsequently generate cross-sectional images (n = 2835), enabling the classification of atrophy as well as the quantification of volumes and caudal extensions of the maxillary sinuses.
Results
We developed and implemented an accurate and reproducible workflow for the semi-automated analysis of volumetric maxillary images. Comprehensive statistical analysis of the large quantitative dataset revealed various correlations of maxillary process heights and sinus volumes with atrophy class, age and region and identified conjectural trends over the patient group.
Conclusions
The method was used successfully to process a large dataset to classify atrophy, to measure alveolar height parameters, and to quantify maxillary sinus volume, bottom volume and pneumatisation.
Clinical relevance
Apart from the anthropometric value of the generated dataset, the method could be applied to provide additional and more accurate data to assess the necessity of bone augmentation in the context of three-dimensional planning before implantation.
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Acknowledgements
On behalf of all authors of this manuscript, we declare that here is no personal relationship with other individuals or organisations that could inappropriately influence this work. The authors Stefan Raith and Timm Steiner contributed equally to this work. We thank Holger Spiegel for technical and language editing as well as proofreading.
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Gerken, U., Esser, F., Möhlhenrich, S.C. et al. Objective computerised assessment of residual ridge resorption in the human maxilla and maxillary sinus pneumatisation. Clin Oral Invest 24, 3223–3235 (2020). https://doi.org/10.1007/s00784-020-03196-6
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DOI: https://doi.org/10.1007/s00784-020-03196-6