1.Application of Deep Learning in Differential Diagnosis of Ameloblastoma and Odontogenic Keratocyst Based on Panoramic Radiographs.
Min LI ; Chuang-Chuang MU ; Jian-Yun ZHANG ; Gang LI
Acta Academiae Medicinae Sinicae 2023;45(2):273-279
Objective To evaluate the accuracy of different convolutional neural networks (CNN),representative deep learning models,in the differential diagnosis of ameloblastoma and odontogenic keratocyst,and subsequently compare the diagnosis results between models and oral radiologists. Methods A total of 1000 digital panoramic radiographs were retrospectively collected from the patients with ameloblastoma (500 radiographs) or odontogenic keratocyst (500 radiographs) in the Department of Oral and Maxillofacial Radiology,Peking University School of Stomatology.Eight CNN including ResNet (18,50,101),VGG (16,19),and EfficientNet (b1,b3,b5) were selected to distinguish ameloblastoma from odontogenic keratocyst.Transfer learning was employed to train 800 panoramic radiographs in the training set through 5-fold cross validation,and 200 panoramic radiographs in the test set were used for differential diagnosis.Chi square test was performed for comparing the performance among different CNN.Furthermore,7 oral radiologists (including 2 seniors and 5 juniors) made a diagnosis on the 200 panoramic radiographs in the test set,and the diagnosis results were compared between CNN and oral radiologists. Results The eight neural network models showed the diagnostic accuracy ranging from 82.50% to 87.50%,of which EfficientNet b1 had the highest accuracy of 87.50%.There was no significant difference in the diagnostic accuracy among the CNN models (P=0.998,P=0.905).The average diagnostic accuracy of oral radiologists was (70.30±5.48)%,and there was no statistical difference in the accuracy between senior and junior oral radiologists (P=0.883).The diagnostic accuracy of CNN models was higher than that of oral radiologists (P<0.001). Conclusion Deep learning CNN can realize accurate differential diagnosis between ameloblastoma and odontogenic keratocyst with panoramic radiographs,with higher diagnostic accuracy than oral radiologists.
Humans
;
Ameloblastoma/diagnostic imaging*
;
Deep Learning
;
Diagnosis, Differential
;
Radiography, Panoramic
;
Retrospective Studies
;
Odontogenic Cysts/diagnostic imaging*
;
Odontogenic Tumors
2.Identification of BRAF V600E mutation in odontogenic tumors by high-performance MALDI-TOF analysis.
Lucrezia TOGNI ; Antonio ZIZZI ; Roberta MAZZUCCHELLI ; Andrea SANTARELLI ; Corrado RUBINI ; Marco MASCITTI
International Journal of Oral Science 2022;14(1):22-22
Odontogenic tumors are rare lesions with unknown etiopathogenesis. Most of them are benign, but local aggressiveness, infiltrative potential, and high recurrence rate characterize some entities. The MAP-kinase pathway activation can represent a primary critical event in odontogenic tumorigenesis. Especially, the BRAF V600E mutation has been involved in 80-90% of ameloblastic lesions, offering a biological rationale for developing new targeted therapies. The study aims to evaluate the BRAF V600E mutation in odontogenic lesions, comparing three different detection methods and focusing on the Sequenom MassARRAY System. 81 surgical samples of odontogenic lesions were subjected to immunohistochemical analysis, Sanger Sequencing, and Matrix-Assisted Laser Desorption/Ionization-Time of Flight mass spectrometry (Sequenom). The BRAF V600E mutation was revealed only in ameloblastoma samples. Moreover, the presence of BRAF V600E was significantly associated with the mandibular site (ρ = 0.627; P value <0.001) and the unicystic histotype (ρ = 0.299, P value <0.001). However, any significant difference of 10-years disease-free survival time was not revealed. Finally, Sequenom showed to be a 100% sensitive and 98.1% specific, suggesting its high-performance diagnostic accuracy. These results suggest the MAP-kinase pathway could contribute to ameloblastic tumorigenesis. Moreover, they could indicate the anatomical specificity of the driving mutations of mandibular ameloblastomas, providing a biological rational for developing new targeted therapies. Finally, the high diagnostic accuracy of Sequenom was confirmed.
Ameloblastoma/pathology*
;
Carcinogenesis
;
Humans
;
Mitogen-Activated Protein Kinases/genetics*
;
Mutation
;
Odontogenic Tumors/pathology*
;
Proto-Oncogene Proteins B-raf/metabolism*
;
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
3.Common conditions associated with displacement of the inferior alveolar nerve canal: A radiographic diagnostic aid
Hamed MORTAZAVI ; Maryam BAHARVAND ; Yaser SAFI ; Mohammad BEHNAZ
Imaging Science in Dentistry 2019;49(2):79-86
PURPOSE: This study reviewed the common conditions associated with displacement of inferior alveolar nerve canal. MATERIALS AND METHODS: General search engines and specialized databases including Google Scholar, Pub Med, Pub Med Central, Science Direct, and Scopus were used to find relevant studies by using keywords such as “mandibular canal”, “alveolar canal”, “inferior alveolar nerve canal”, “inferior dental canal”, “inferior mandibular canal” and “displacement”. RESULTS: About 120 articles were found, of which approximately 70 were broadly relevant to the topic. We ultimately included 37 articles that were closely related to the topic of interest. When the data were compiled, the following 8 lesions were found to have a relationship with displacement of mandibular canal: radicular/residual cysts, dentigerous cyst, odontogenic keratocyst, aneurysmal bone cyst, ameloblastoma, central giant cell granuloma, fibrous dysplasis, and cementossifying fibroma. CONCLUSION: When clinicians encounter a lesion associated with displaced mandibular canal, they should first consider these entities in the differential diagnosis. This review would help dentists make more accurate diagnoses and develop better treatment plans according to patients' radiographs.
Ameloblastoma
;
Aneurysm
;
Bone Cysts
;
Dentigerous Cyst
;
Dentists
;
Diagnosis
;
Diagnosis, Differential
;
Fibroma
;
Granuloma, Giant Cell
;
Humans
;
Mandibular Nerve
;
Odontogenic Cysts
;
Odontogenic Tumors
;
Search Engine
4.Evaluation of biopsies of oral and maxillofacial lesions: a retrospective study
Hatice HOSGOR ; Berkay TOKUC ; Bahadır KAN ; Fatih Mehmet COSKUNSES
Journal of the Korean Association of Oral and Maxillofacial Surgeons 2019;45(6):316-323
OBJECTIVES: This study aimed to determine the prevalence of odontogenic cysts, tumors, and other lesions among reports in the archives of the Department of Oral and Maxillofacial Surgery at the Faculty of Dentistry affiliated with Kocaeli University collected over a four-year period.MATERIALS AND METHODS: In this retrospective study, patient records from the archive of the Department of Oral and Maxillofacial Surgery from 2014 to 2018 were reviewed. Patient demographic information (age and sex) and lesion location were recorded and analyzed.RESULTS: From a total of 475 files reviewed, odontogenic cyst was confirmed in 340 cases (71.6%), and odontogenic tumor was confirmed in 52 cases (10.9%). Regarding odontogenic cyst type, the most common was radicular cyst (216 cases), followed by dentigerous cyst (77 cases) and odontogenic keratocyst (23 cases). Among odontogenic tumors, the most frequent was odontoma (19 cases), followed by ossifying fibroma (18 cases) and ameloblastoma (9 cases). Giant cell granuloma was also reported in 35 cases.CONCLUSION: The distribution pattern of odontogenic cysts and tumors in our retrospective study is relatively similar to that reported in the literature. Complete clinical reports for final diagnosis of these lesions and routine follow-up examinations are very important for treatment.
Ameloblastoma
;
Archives
;
Biopsy
;
Dentigerous Cyst
;
Dentistry
;
Diagnosis
;
Fibroma, Ossifying
;
Follow-Up Studies
;
Granuloma, Giant Cell
;
Humans
;
Jaw Neoplasms
;
Odontogenic Cysts
;
Odontogenic Tumors
;
Odontoma
;
Prevalence
;
Radicular Cyst
;
Retrospective Studies
;
Surgery, Oral
5.Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors.
Wiwiek POEDJIASTOETI ; Siriwan SUEBNUKARN
Healthcare Informatics Research 2018;24(3):236-241
OBJECTIVES: Ameloblastomas and keratocystic odontogenic tumors (KCOTs) are important odontogenic tumors of the jaw. While their radiological findings are similar, the behaviors of these two types of tumors are different. Precise preoperative diagnosis of these tumors can help oral and maxillofacial surgeons plan appropriate treatment. In this study, we created a convolutional neural network (CNN) for the detection of ameloblastomas and KCOTs. METHODS: Five hundred digital panoramic images of ameloblastomas and KCOTs were retrospectively collected from a hospital information system, whose patient information could not be identified, and preprocessed by inverse logarithm and histogram equalization. To overcome the imbalance of data entry, we focused our study on 2 tumors with equal distributions of input data. We implemented a transfer learning strategy to overcome the problem of limited patient data. Transfer learning used a 16-layer CNN (VGG-16) of the large sample dataset and was refined with our secondary training dataset comprising 400 images. A separate test dataset comprising 100 images was evaluated to compare the performance of CNN with diagnosis results produced by oral and maxillofacial specialists. RESULTS: The sensitivity, specificity, accuracy, and diagnostic time were 81.8%, 83.3%, 83.0%, and 38 seconds, respectively, for the CNN. These values for the oral and maxillofacial specialist were 81.1%, 83.2%, 82.9%, and 23.1 minutes, respectively. CONCLUSIONS: Ameloblastomas and KCOTs could be detected based on digital panoramic radiographic images using CNN with accuracy comparable to that of manual diagnosis by oral maxillofacial specialists. These results demonstrate that CNN may aid in screening for ameloblastomas and KCOTs in a substantially shorter time.
Ameloblastoma
;
Artificial Intelligence
;
Dataset
;
Diagnosis*
;
Hospital Information Systems
;
Humans
;
Jaw*
;
Learning
;
Mass Screening
;
Odontogenic Cysts
;
Odontogenic Tumors
;
Oral and Maxillofacial Surgeons
;
Radiography, Panoramic
;
Retrospective Studies
;
Sensitivity and Specificity
;
Specialization
6.Diffusion-Weighted MR Imaging of Unicystic Odontogenic Tumors for Differentiation of Unicystic Ameloblastomas from Keratocystic Odontogenic Tumors
Yifeng HAN ; Xindong FAN ; Lixin SU ; Zhenfeng WANG
Korean Journal of Radiology 2018;19(1):79-84
OBJECTIVE: Differentiating unicystic ameloblastomas from keratocystic odontogenic tumors (KCOT) is necessary for the planning of different treatment strategies; however, it is difficult based on conventional CT and MR sequences alone. The purpose of this study was to investigate the utility of diffusion-weighted imaging (DWI) and apparent diffusion coefficients (ADCs) in the differentiation of the two tumors. MATERIALS AND METHODS: We prospectively studied 40 patients with odontogenic cysts and tumors of the maxillomandibular region using conventional MR imaging and DWI. ADCs were measured using 2 b factors (500 and 1000). RESULTS: Unicystic ameloblastomas (n = 11) showed free diffusion on DWI and a mean ADC value of 2.309 ± 0.17 × 10-3 mm2/s. KCOT (n = 15) showed restricted diffusion on DWI with a mean ADC value of 0.923 ± 0.20 × 10-3 mm2/s. The ADC values of unicystic ameloblastomas were significantly higher than those of KCOT (p < 0.001, Mann-Whitney U-test). An ADC cut-off value of 2.0 × 10-3 mm2/s to differentiate KCOT and unicystic ameloblastomas resulted in a 100% sensitivity and 100% specificity. Dentigerous cysts (n = 3) showed restricted diffusion on DWI and similar ADC values (1.257 ± 0.05 × 10-3 mm2/s) to those of KCOT. CONCLUSION: Diffusion-weighted imaging and ADC determination can be used as an adjuvant tool to differentiate between unicystic ameloblastomas and KCOT, although the ADC values of dentigerous cysts overlap with those of KCOT.
Ameloblastoma
;
Dentigerous Cyst
;
Diffusion
;
Humans
;
Magnetic Resonance Imaging
;
Odontogenic Cysts
;
Odontogenic Tumors
;
Prospective Studies
;
Sensitivity and Specificity
7.Jaw lesions associated with impacted tooth: A radiographic diagnostic guide.
Hamed MORTAZAVI ; Maryam BAHARVAND
Imaging Science in Dentistry 2016;46(3):147-157
This review article aimed to introduce a category of jaw lesions associated with impacted tooth. General search engines and specialized databases such as Google Scholar, PubMed, PubMed Central, MedLine Plus, Science Direct, Scopus, and well-recognized textbooks were used to find relevant studies using keywords such as "jaw lesion", "jaw disease", "impacted tooth", and "unerupted tooth". More than 250 articles were found, of which approximately 80 were broadly relevant to the topic. We ultimately included 47 articles that were closely related to the topic of interest. When the relevant data were compiled, the following 10 lesions were identified as having a relationship with impacted tooth: dentigerous cysts, calcifying odontogenic cysts, unicystic (mural) ameloblastomas, ameloblastomas, ameloblastic fibromas, adenomatoid odontogenic tumors, keratocystic odontogenic tumors, calcifying epithelial odontogenic tumors, ameloblastic fibro-odontomas, and odontomas. When clinicians encounter a lesion associated with an impacted tooth, they should first consider these entities in the differential diagnosis. This will help dental practitioners make more accurate diagnoses and develop better treatment plans based on patients' radiographs.
Ameloblastoma
;
Ameloblasts
;
Dentigerous Cyst
;
Diagnosis
;
Diagnosis, Differential
;
Fibroma
;
Jaw*
;
Odontogenic Cyst, Calcifying
;
Odontogenic Cysts
;
Odontogenic Tumors
;
Odontoma
;
Radiography
;
Search Engine
;
Tooth Diseases
;
Tooth, Impacted*
8.Ameloblastic carcinoma of the maxilla: a report of two cases and a review of the literature.
Benjamin FOMETE ; Ezekiel Taiwo ADEBAYO ; Godwin Iko AYUBA ; Uche Albert OKEKE
Journal of the Korean Association of Oral and Maxillofacial Surgeons 2016;42(1):43-46
Ameloblastic carcinoma is a malignant form of ameloblastoma defined by histological evidence of malignancy in primary, recurrent, or metastatic tumor. Such a tumor is rare, and the maxilla is an unusual site. Due to its rarity, the characteristics of this tumor in the maxilla have not been well described. Case 1: A 55-year-old, ill-appearing Nigerian male presented to our center with left maxillary swelling of seven-year duration. The swelling had been slow-growing and painless until one year prior, when the growth became rapid and was coupled with severe pain. The swelling affected both oral function and facial esthetics, and the patient reported difficulty breathing. There was a maxillary, ulcerated swelling extending from teeth 12 to 18 and blocking the left nostril. The involved teeth were moderately mobile. Case 2: A 32-year-old male farmer presented with recurrent right maxillary swelling of six-year duration. Prior to this episode, he had undergone surgery for ameloblastoma (follicular type). The present swelling was fungating through the skin and protruding into the right nostril. Ameloblastic carcinoma is an aggressive odontogenic tumor that requires aggressive surgical treatment.
Adult
;
Ameloblastoma
;
Ameloblasts*
;
Esthetics
;
Humans
;
Male
;
Maxilla*
;
Middle Aged
;
Odontogenic Tumors
;
Respiration
;
Skin
;
Tooth
;
Ulcer
9.Odontogenic carcinosarcoma of the mandible: a case report and review.
Il Kyu KIM ; Sang Pill PAE ; Hyun Young CHO ; Hyun Woo CHO ; Ji Hoon SEO ; Dong Hwan LEE ; In Shu PARK
Journal of the Korean Association of Oral and Maxillofacial Surgeons 2015;41(3):139-144
Odontogenic carcinosarcoma is an extremely rare malignant odontogenic tumor with only a few reported cases. It is characterized by a true mixed tumor showing malignant cytology of both epithelial and mesenchymal components. It has been assumed to arise from pre-existing lesions such as ameloblastoma, ameloblastic fibroma, and ameloblastic fibrosarcoma. To date, the reported cases have exhibited considerably aggressive clinical behavior. The case of an odontogenic carcinosarcoma in the mandible of a 61-year-old male is described herein. The tumor destroyed the cortex of the mandible and invaded the adjacent tissues. Treatment was performed by surgical resection and reconstruction. The purposes of this article are to introduce odontogenic carcinosarcoma through this case study, to distinguish it from related diseases and to discuss features of the tumor in the existing literature.
Ameloblastoma
;
Ameloblasts
;
Carcinosarcoma*
;
Fibroma
;
Fibrosarcoma
;
Humans
;
Male
;
Mandible*
;
Middle Aged
;
Odontogenic Tumors
10.Metastatic Pulmonary Ameloblastoma Misdiagnosed as Primary Squamous Cell Carcinoma Preoperatively.
Ju Sik YUN ; Do Wan KIM ; Sung Sun KIM ; Yoo Duk CHOI ; Sang Yun SONG ; Kook Joo NA
The Korean Journal of Thoracic and Cardiovascular Surgery 2014;47(1):63-65
Ameloblastomas are rare odontogenic epithelial tumors that occur mainly in the mandible. Despite their benign histologic appearance, they are locally aggressive with a high recurrence rate. However, a metastasizing ameloblastoma has been rarely reported. According to the current World Health Organization classification system, the definitive diagnosis of metastasizing ameloblastoma can only be carried out in retrospect, after the event of metastasis. This case report describes a patient with metastatic pulmonary ameloblastoma, 17 years after the surgical excision of an odontogenic tumor, preoperatively misdiagnosed as primary squamous cell carcinoma.
Ameloblastoma*
;
Carcinoma, Squamous Cell*
;
Classification
;
Diagnosis
;
Humans
;
Lung Neoplasms
;
Mandible
;
Neoplasm Metastasis
;
Odontogenic Tumors
;
Recurrence
;
World Health Organization

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