Article
Oncology
John Adeoye, Mohamad Koohi-Moghadam, Anthony Wing Ip Lo, Raymond King-Yin Tsang, Velda Ling Yu Chow, Li-Wu Zheng, Siu-Wai Choi, Peter Thomson, Yu-Xiong Su
Summary: Machine learning models were used to predict malignancy from oral white lesions with satisfactory performance and stability. DeepSurv and RSF were the top-performing models in terms of discrimination and calibration in internal validation. DeepSurv was more stable than RSF in cross-validation, with external validation confirming their utility for discrimination and individual survival estimates.
Review
Pharmacology & Pharmacy
Pratima Kumari, Priyanka Debta, Anshuman Dixit
Summary: Oral cancer is a critical health issue, with the majority of new cases occurring in Asia. Various factors, such as genetics and lifestyle, are closely associated with its occurrence and progression. Early signs of oral cancer include oral lesions, genetic mutations, and viral infections. Lesions with dysplastic features have a high risk of malignancy, and OPMDs have a high prevalence in South Asian countries. Early detection, prevention, and treatment of OPMDs are crucial.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Dentistry, Oral Surgery & Medicine
Gerardo Gilligan, Rene Panico, Jeronimo Lazos, Rosana Morelatto, Paola Belardinelli, Ines Criscuolo, Nicolas Bolesina, Ignacio Molina Avila, Juan Martin Pimentel Sola, Emilce Rivarola, Maria Jimena Morgante, Maria Eugenia Ingrassia Tonelli, Javier Gimenez, Pablo Doratti, Laura Cecilia Werner, Ana Carolina Prado-Ribeiro, Thais Bianca Brandao, Aljomar Jose Vechiato-Filho, Maria Claudia Cuzzullin, Cristina Saldivia-Siracusa, Marcio Ajudarte Lopes, Michelle Agostini, Mario Jose Romanach, Aline Correa Abrahao, Thamyres Campos Fonseca, Estela Kaminagakura, Ana Lia Anbinder, Kamilla Santos Alves, Maria Leticia de Almeida Lanca, Sonia Sacsaquispe-Contreras, Karem Rodriguez Ibazetta, Roberto Gerber-Mora, Saray Aranda Romo, Francisco Javier Tejeda Nava, Karina Cordero-Torres, Ricardo Moreno Silva, Wilfredo Gonzalez-Arriagada, Raiza Toro, Felipe Martins Silveira, Natalia Gonzalez, Pablo Agustin Vargas, Alan Roger Santos-Silva, Ronell Bologna-Molina, Mariana Villarroel-Dorrego, Benjamin Martinez, Eduardo Piemonte
Summary: This study aims to investigate the frequency, epidemiological profile, and traditional risk factors of oral squamous cell carcinoma (OSCC) associated or not with oral potentially malignant disorders (OPMD) in Latin America. The results suggest that OSCC-dn is more frequent in Latin America, with regional variations in some clinical and histopathological features.
Article
Dentistry, Oral Surgery & Medicine
Viduni Liyanage, Mengqiu Tao, Joon Soo Park, Kate N. Wang, Somayyeh Azimi
Summary: This proof-of-concept study explored the feasibility and utility of a smartphone application for diagnosing oral lesions. The study used 342 images and analysed them using MobileNetV3 and EfficientNetV2 models. The results showed the potential accuracy of these models in diagnosing malignant lesions. Clinical significance: AI software has the potential to aid in the identification or screening of malignant oral lesions, but further improvements are needed for classifying non-malignant lesions accurately. Rating: 8/10.
JOURNAL OF DENTISTRY
(2023)
Article
Health Care Sciences & Services
Rana Alabdan, Abdulrahman Alruban, Anwer Mustafa Hilal, Abdelwahed Motwakel
Summary: This article introduces an optimal Inception-Deep Convolution Neural Network technique for Oral Potentially Malignant Disorder Detection in the IoMT environment. The technique focuses on identifying and classifying oral cancer using data collected from IoMT devices. Experimental results show that the technique outperforms other deep learning models.
Review
Oncology
Ruiying Han, Nan Lin, Juan Huang, Xuelei Ma
Summary: Raman spectroscopy has shown high sensitivity and specificity in the diagnosis of oral squamous cell carcinoma, indicating its potential clinical application.
FRONTIERS IN ONCOLOGY
(2022)
Review
Oncology
Ruiying Han, Nan Lin, Juan Huang, Xuelei Ma
Summary: This meta-analysis evaluated the performance of Raman spectroscopy (RS) in the diagnosis of oral squamous cell carcinoma (OSCC). The results showed that RS has high specificity and sensitivity, indicating its potential for clinical application in OSCC diagnosis.
FRONTIERS IN ONCOLOGY
(2022)
Review
Dentistry, Oral Surgery & Medicine
Rishi S. Ramani, Ivy Tan, Lindsay Bussau, Christopher M. Angel, Michael McCullough, Tami Yap
Summary: Confocal microscopy has been explored for its utility in diagnosing oral squamous cell carcinoma and oral epithelial dysplasia. Quantitative software-based studies show potential in objectifying the diagnostic process for identifying abnormalities within the oral mucosa.
Article
Chemistry, Analytical
Atta-ur Rahman, Abdullah Alqahtani, Nahier Aldhafferi, Muhammad Umar Nasir, Muhammad Farhan Khan, Muhammad Adnan Khan, Amir Mosavi
Summary: Oral cancer is a dangerous and common cancer, traditional microscopic biopsy image detection methods have limitations, and there is a high possibility of human error. With the development of technology, deep learning algorithms play an increasingly important role in the field of oral cancer image diagnosis, improving classification accuracy.
Review
Dentistry, Oral Surgery & Medicine
Alexander Ross Kerr, Giovanni Lodi
Summary: Managing patients with oral potentially malignant disorders is challenging due to the lack of understanding of natural history and validated predictive markers. Evidence-based health promotion is not widely embraced, and research on medical interventions often suffers from methodologic flaws and lack of focus on patient quality of life. Global networks with well-characterized patient populations are needed for better intervention trials.
Article
Dentistry, Oral Surgery & Medicine
Amira Abdelwhab, Olfat Shaker, Reham Lotfy Aggour
Summary: This study evaluated the expression level of mucin1 in saliva and its correlation with clinical and histological variables in oral potentially malignant disorders and oral squamous cell carcinoma patients. The results showed that mucin1 expression in saliva was significantly elevated in both oral potentially malignant disorders and oral squamous cell carcinoma patients compared with controls, and it correlated with the severity and metastasis of the diseases. These findings suggest that mucin1 in saliva may serve as a potential biomarker for diagnosing these oral diseases.
Article
Dentistry, Oral Surgery & Medicine
M. P. McRae, A. R. Kerr, M. N. Janal, M. H. Thornhill, S. W. Redding, N. Vigneswaran, S. K. Kang, R. Niederman, N. J. Christodoulides, D. A. Trochesset, C. Murdoch, I Dapkins, J. Bouquot, S. S. Modak, G. W. Simmons, J. T. McDevitt
Summary: Oral cavity cancer has a low 5-year survival rate, but early detection can improve outcomes. Cytological features, including nuclear F-actin cell phenotypes, were used to classify oral epithelial dysplasia and squamous cell carcinoma. The study found that cytological features are valuable in predicting early and late-stage diseases, potentially enhancing screening and surveillance of oral potentially malignant disorders.
JOURNAL OF DENTAL RESEARCH
(2021)
Review
Health Care Sciences & Services
Jewel Kai Lin See, Xinyao Liu, Federica Canfora, Caroline Moore, Michael Mccullough, Tami Yap, Rita Paolini, Antonio Celentano
Summary: This study systematically reviewed the evidence on the therapeutic effects of vitamin supplementation for oral potentially malignant disorders (OPMDs) and oral cancer (OC). The results showed that vitamin K, vitamin C, vitamin A, vitamin B, and vitamin D all had therapeutic benefits. The research on oral cancer was extensive, with a focus on oral lichen planus and oral leukoplakia among the OPMDs. However, standardizing the study design and outcomes is needed to enhance future research.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Multidisciplinary Sciences
Sivaraj Raman, Asrul Akmal Shafie, Mannil Thomas Abraham, Chen Kiong Shim, Thaddius Herman Maling, Senthilmani Rajendran, Sok Ching Cheong
Summary: Oral cancer poses a significant challenge to healthcare systems, particularly in Malaysia. This study aimed to determine the cost of treating oral potentially malignant disorders (OPMD) and oral cancer from a public healthcare provider's perspective. The research found that the cost of treating oral cancer is significantly higher than that of OPMD, with surgical care and personnel costs being the main contributors to the higher expenditure.
Article
Multidisciplinary Sciences
Ashley Ferro, Sanjeev Kotecha, Kathleen Fan
Summary: Machine learning algorithms are widely used in the field of oral lesion diagnosis, thanks to complex deep learning architectures. This systematic review provides an update on the progress of machine learning algorithms in point-of-care automated diagnostic classification systems for oral cavity lesions. The study found that there is no difference in performance between different methods in automatic classification of oral regions of interest.
SCIENTIFIC REPORTS
(2022)