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Insight into Radiomics in Head and Neck Cancer
PUBLISHED March 12, 2024 (DOI: https://doi.org/10.54985/peeref.2403p5206339)
NOT PEER REVIEWED
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Authors
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Manju Krishna1 , Jayachandran Sadaksharam1
- Department of Oral Medicine and Radiology,Tamil Nadu Government Dental College and Hospital,Chennai
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Conference / event
- 34th National Conference of Indian Academy of Oral Medicine and Radiology, December 2023 (Davangere, Karnataka, India)
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Poster summary
- Head and neck cancers are heterogenous, aggressive and genetically complex collection of malignancies of the oral cavity, nasopharynx, oropharynx, hypopharynx, larynx, paranasal sinuses and salivary glands. About 90% of all head and neck cancers are squamous cell carcinomas. Head and neck cancers represent a unique set of diagnostic and therapeutic challenges by nature of its complex anatomy and heterogeneity. Radiomics, a subdomain of artificial intelligence holds the potential to address these barriers. Radiomics is a modern and innovative method, consists in extracting large amounts of quantitative features from digital medical images. This poster highlights the application of radiomics in patients with head and cancer in diagnosis, prognosis and treatment response.
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Keywords
- Radiomics, Head and neck cancer, Machine learning, Texture analysis, Diagnostic imaging
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Research areas
- Medical Imaging
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References
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- Tortora, M.; Gemini, L.; Scaravilli, A.; Ugga, L.; Ponsiglione, A.; Stanzione, A.; D’Arco, F.; D’Anna, G.; Cuocolo, R. Radiomics Applications in Head and Neck Tumor Imaging: A Narrative Review. Cancers 2023, 15, 1174.
- Jayachandran, S.; Nagarajan, Nivethitha; Archana, M.. Cone-Beam Computed Tomography: Fractal Analysis of Osseous Changes in Temporomandibular Joint for Rheumatoid Arthritis Patients. Indian Journal of Rheumatology 17(1):p 41-46, March 2022.
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Funding
- No data provided
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Supplemental files
- No data provided
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Additional information
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- Competing interests
- No competing interests were disclosed.
- Data availability statement
- Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.
- Creative Commons license
- Copyright © 2024 Krishna et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Krishna, M., Sadaksharam, J. Insight into Radiomics in Head and Neck Cancer [not peer reviewed]. Peeref 2024 (poster).
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