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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NOT PEER REVIEWED

Authors

Manju Krishna1 , Jayachandran Sadaksharam1
  1. Department of Oral Medicine and Radiology,Tamil Nadu Government Dental College and Hospital,Chennai

Conference / event

34th National Conference of Indian Academy of Oral Medicine and Radiology, December 2023 (Davangere, Karnataka, India)

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.

Keywords

Radiomics, Head and neck cancer, Machine learning, Texture analysis, Diagnostic imaging

Research areas

Medical Imaging

References

  1. 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.
  2. 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.

Funding

No data provided

Supplemental files

No data provided

Additional information

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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Cite
Krishna, M., Sadaksharam, J. Insight into Radiomics in Head and Neck Cancer [not peer reviewed]. Peeref 2024 (poster).
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