Recent methods for the diagnosis and differentiation of ameloblastoma: a narrative review
Author:
Affiliation:
1. Department of Oral & Maxillofacial Surgery, College and Hospital of Stomatology, Hebei Medical University, The Key Laboratory of Stomatology, Shijiazhuang, People’s Republic of China
Funder
Natural Science Foundation of Hebei Province, China
Hebei Provincial Department of Finance Project, PR China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/26895293.2024.2354675
Reference70 articles.
1. Evaluation of mandibular odontogenic keratocyst and ameloblastoma by panoramic radiograph and computed tomography
2. Imaging characteristics of ameloblastomas and diagnostic value of computed tomography and magnetic resonance imaging in a series of 26 patients
3. Imaging features contributing to the diagnosis of ameloblastomas and keratocystic odontogenic tumours: logistic regression analysis
4. Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique
5. Assessment of ameloblastomas using MRI and dynamic contrast-enhanced MRI
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