Ocbe Melisa
Kocaeli Health and Technology University, Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, KocaeliTürkiye.
Eur Oral Res. 2025 May 5;59(2):58-67. doi: 10.26650/eor.20241450729.
The high-resolution imaging capabilities of Magnetic Resonance Imaging (MRI) make it highly suitable for visualizing a wide range of dentomaxillofacial pathologies, including tumors, inflammatory conditions, and vascular abnormalities. This review focuses to the role of MRI in imaging head and neck pathologies, highlighting its advantages over traditional radiodiagnostics in dentistry. MRI's ability to detect periapical lesions, differentiate between various cysts and tumors, and assess the characteristics of odontogenic and non-odontogenic lesions is discussed. Special consideration is given to the differentiation of odontogenic keratocysts and ameloblastomas, as well as the evaluation of odontogenic fibromas and myxomas using dynamic contrast-enhanced MRI. Additionally, the review explores the potential of diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) values in distinguishing benign from malignant lesions, emphasizing the significance of these techniques in characterizing salivary gland tumors. Future advancements in MRI technology, including the application of high-field MRI and radiomics, are also considered. Radiomics, driven by artificial intelligence, offers a promising approach to extracting quantitative features from medical images, potentially enhancing the accuracy of diagnosis and prognosis in oral cancer. The review concludes by underscoring the transformative impact of MRI in dentomaxillofacial radiodiagnostics, advocating for its broader adoption in clinical practice to improve diagnostic accuracy and patient outcomes.
磁共振成像（MRI）的高分辨率成像能力使其非常适合用于可视化多种牙颌面病理学情况，包括肿瘤、炎症性疾病和血管异常。本综述重点关注MRI在头颈部病理学成像中的作用，突出其相较于牙科传统放射诊断方法的优势。文中讨论了MRI检测根尖周病变、区分各种囊肿和肿瘤以及评估牙源性和非牙源性病变特征的能力。特别考虑了牙源性角化囊肿和成釉细胞瘤的鉴别，以及使用动态对比增强MRI评估牙源性纤维瘤和黏液瘤。此外，该综述探讨了扩散加权成像（DWI）和表观扩散系数（ADC）值在区分良性和恶性病变方面的潜力，强调了这些技术在唾液腺肿瘤特征描述中的重要性。还考虑了MRI技术的未来进展，包括高场MRI和放射组学的应用。由人工智能驱动的放射组学提供了一种从医学图像中提取定量特征的有前景的方法，可能提高口腔癌诊断和预后的准确性。该综述最后强调了MRI在牙颌面放射诊断中的变革性影响，主张在临床实践中更广泛地采用MRI以提高诊断准确性和患者治疗效果。
