Radiomics In Oral And Maxillofacial Radiology: Current Uses And Future Perspectives For Quantitative Dental Imaging
Özet
This chapter provides a comprehensive overview of radiomics in oral and maxillofacial radiology, emphasizing its role in converting routine imaging data into quantitative, clinically meaningful information. Radiomics enables the extraction of numerical features related to intensity, texture, shape, and spatial patterns from radiological images. The chapter explains the main stages of the radiomics workflow, including image acquisition, preprocessing, segmentation, feature extraction, feature selection, reproducibility assessment, and artificial intelligence-based statistical modelling. It also discusses dental applications, including oral cancer evaluation, jaw lesion differentiation, lymph node metastasis prediction, endodontic and periodontal disease assessment, temporomandibular joint analysis, medication-related osteonecrosis of the jaw, implant-related bone evaluation, osteoporosis screening, and forensic identification. The chapter highlights limitations restricting clinical translation, such as imaging protocol differences, segmentation variability, small retrospective datasets, and insufficient external validation. Overall, radiomics is presented as a promising decision-support approach that may complement conventional radiological interpretation and contribute to more objective, personalized, and data-driven diagnosis, prognosis, and treatment planning in dentistry.
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