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Can I read Prediction of Human Papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) Using Radiomics: The Impact of the Variation of CT Scanner on EtoBox?
Prediction of Human Papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) Using Radiomics: The Impact of the Variation of CT Scanner by Reza Reiazi; Colin Arrowsmith; Mattea Welch; Farnoosh Abbas-Aghababazadeh; Christopher Eeles; Tony Tadic; Andrew J. Hope; Scott V. Bratman; Benjamin Haibe-Kains is a Medicine article available to read on EtoBox.
What is Prediction of Human Papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) Using Radiomics: The Impact of the Variation of CT Scanner about?
## Simple Summary Recent studies exploring the application of radiomics features in medicine have shown promising results. However, variation in imaging parameters may impact the robustness of these features. Feature robustness may then in turn affect the prediction performance of the machine learning models built upon these features. While numerous studies have tested feature robustness against a variety of imaging parameters, the extent to which feature robustness affects predictions remains unclear. A particularly notable application of radiomics in clinical oncology is the prediction of Human Papillomavirus (HPV) association in Oropharyngeal cancer. In this study we explore how CT scanner type affects the performance of radiomics features for HPV association prediction and highlight the need to implement precautionary approaches so as to minimize this effect. ## Abstract Studies have shown that radiomic features are sensitive to the variability of imaging parameters (e.g., scanner models), and one of the major challenges in these studies lies in improving the robustness of quantitative features against the variations in imaging datasets from multi-center studies. Here, we asses
Who reads Prediction of Human Papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) Using Radiomics: The Impact of the Variation of CT Scanner?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Reza Reiazi; Colin Arrowsmith; Mattea Welch; Farnoosh Abbas-Aghababazadeh; Christopher Eeles; Tony Tadic; Andrew J. Hope; Scott V. Bratman; Benjamin Haibe-Kains
- Publisher
- MDPI AG
- Published
- 2021
- Language
- EN
- Field
- Medicine (Health Sciences)