Abstract
There is a marked rise in the incidence of oropharyngeal cancer associated with human papilloma virus (HPV) infections. While HPV positive oropharyngeal cancers have better outcomes, the outlook for HPV negative oropharyngeal cancers remains grim. Premalignant lesions precede some oropharyngeal cancers, however, means for predicting malignant transformation in these lesions are lacking with many of the histopathological features used to diagnose these lesions being highly subjective. Here, we assessed a range of morphological parameters at the tissue, cell and nucleus levels in normal,
premalignant and HPV positive and negative malignant tissues from the oropharynx. Our findings showed significant changes from normal through premalignant to malignant oropharyngeal samples when assessing the complexity of the epithelial connective tissue interface and various parameters
that describe the shape and size of cells and nuclei. Furthermore, we observed significant differences in the morphological features between HPV positive and negative cancers which align with the reported difference in their clinical outcome. The results of our study suggest the potential use of image analysis to objectively and reproducibly describe morphological parameters which could improve diagnosis and aid in predicting disease progression.
premalignant and HPV positive and negative malignant tissues from the oropharynx. Our findings showed significant changes from normal through premalignant to malignant oropharyngeal samples when assessing the complexity of the epithelial connective tissue interface and various parameters
that describe the shape and size of cells and nuclei. Furthermore, we observed significant differences in the morphological features between HPV positive and negative cancers which align with the reported difference in their clinical outcome. The results of our study suggest the potential use of image analysis to objectively and reproducibly describe morphological parameters which could improve diagnosis and aid in predicting disease progression.
Original language | English |
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Title of host publication | Proceedings - 2023 24th International Conference on Control Systems and Computer Science, CSCS 2023 |
Publisher | IEEE Explore |
Pages | 241-248 |
Number of pages | 8 |
ISBN (Electronic) | 9798350313390 |
ISBN (Print) | 979-8-3503-1340-6 |
DOIs | |
Publication status | Published - 17 Aug 2023 |
Event | 24th International Conference on Control Systems and Computer Science (CSCS24). - Bucarest, Romania Duration: 24 May 2023 → 26 May 2023 Conference number: 24 https://cscs24.hpc.pub.ro/ |
Publication series
Name | Proceedings - 2023 24th International Conference on Control Systems and Computer Science, CSCS 2023 |
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Conference
Conference | 24th International Conference on Control Systems and Computer Science (CSCS24). |
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Abbreviated title | CSCS24 |
Country/Territory | Romania |
City | Bucarest |
Period | 24/05/23 → 26/05/23 |
Internet address |
Bibliographical note
This work was supported by funding from the University of Aberdeen Institute of Dentistry and Friends of Anchor (RS 17 007). PC was supported by an Elphinstone Scholarship, University of Aberdeen.Keywords
- Oropharyngeal Cancer
- HPV
- Morphometry
- Dysplasia