Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images
Early diagnosis of oral cancer is critical to improve the survival rate of patients. The current strategies for screening of patients for oral premalignant and malignant lesions unfortunately miss a significant number of involved patients. Optical coherence tomography (OCT) is an optical imaging mod...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Radiology Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2022/1614838 |
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| _version_ | 1849309247596134400 |
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| author | Kousar Ramezani Maryam Tofangchiha |
| author_facet | Kousar Ramezani Maryam Tofangchiha |
| author_sort | Kousar Ramezani |
| collection | DOAJ |
| description | Early diagnosis of oral cancer is critical to improve the survival rate of patients. The current strategies for screening of patients for oral premalignant and malignant lesions unfortunately miss a significant number of involved patients. Optical coherence tomography (OCT) is an optical imaging modality that has been widely investigated in the field of oncology for identification of cancerous entities. Since the interpretation of OCT images requires professional training and OCT images contain information that cannot be inferred visually, artificial intelligence (AI) with trained algorithms has the ability to quantify visually undetectable variations, thus overcoming the barriers that have postponed the involvement of OCT in the process of screening of oral neoplastic lesions. This literature review aimed to highlight the features of precancerous and cancerous oral lesions on OCT images and specify how AI can assist in screening and diagnosis of such pathologies. |
| format | Article |
| id | doaj-art-184a552ab90a414bb2da2dc15bd65917 |
| institution | Kabale University |
| issn | 2090-195X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Radiology Research and Practice |
| spelling | doaj-art-184a552ab90a414bb2da2dc15bd659172025-08-20T03:54:12ZengWileyRadiology Research and Practice2090-195X2022-01-01202210.1155/2022/1614838Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography ImagesKousar Ramezani0Maryam Tofangchiha1Department of Oral and Maxillofacial RadiologyDepartment of Oral and Maxillofacial RadiologyEarly diagnosis of oral cancer is critical to improve the survival rate of patients. The current strategies for screening of patients for oral premalignant and malignant lesions unfortunately miss a significant number of involved patients. Optical coherence tomography (OCT) is an optical imaging modality that has been widely investigated in the field of oncology for identification of cancerous entities. Since the interpretation of OCT images requires professional training and OCT images contain information that cannot be inferred visually, artificial intelligence (AI) with trained algorithms has the ability to quantify visually undetectable variations, thus overcoming the barriers that have postponed the involvement of OCT in the process of screening of oral neoplastic lesions. This literature review aimed to highlight the features of precancerous and cancerous oral lesions on OCT images and specify how AI can assist in screening and diagnosis of such pathologies.http://dx.doi.org/10.1155/2022/1614838 |
| spellingShingle | Kousar Ramezani Maryam Tofangchiha Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images Radiology Research and Practice |
| title | Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images |
| title_full | Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images |
| title_fullStr | Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images |
| title_full_unstemmed | Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images |
| title_short | Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images |
| title_sort | oral cancer screening by artificial intelligence oriented interpretation of optical coherence tomography images |
| url | http://dx.doi.org/10.1155/2022/1614838 |
| work_keys_str_mv | AT kousarramezani oralcancerscreeningbyartificialintelligenceorientedinterpretationofopticalcoherencetomographyimages AT maryamtofangchiha oralcancerscreeningbyartificialintelligenceorientedinterpretationofopticalcoherencetomographyimages |