Diffusion-Weighted MRI and Human Papillomavirus (HPV) Status in Oropharyngeal Cancer

Our results highlight the potential of DW-MR imaging as a non-invasive biomarker for the prediction of HPV status, although its current role remains supplementary to pathological confirmation.

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Publication Details

Journal
Cancers
Published
2024-12-23
DOI
https://doi.org/10.3390/cancers16244284
Citations
4
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.62

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article

Diffusion-Weighted MRI and Human Papillomavirus (HPV) Status in Oropharyngeal Cancer

Frederik De Keyzer, Sarah Deschuymer, Rüveyda Dok, Vincent Vandecaveye et al.
4 citations
Cancers
Radiomics and Machine Learning in Medical Imaging
1.62
article

Diffusion-Weighted MRI and Human Papillomavirus (HPV) Status in Oropharyngeal Cancer

Frederik De Keyzer, Sarah Deschuymer, Rüveyda Dok, Vincent Vandecaveye, Annouschka Laenen, Sandra Nuyts, Johannes Devos, Heleen Bollen
article en
4 citations

Abstract

Our results highlight the potential of DW-MR imaging as a non-invasive biomarker for the prediction of HPV status, although its current role remains supplementary to pathological confirmation.

CancersVol. 16(24)
KU Leuven (BE)
Kom op tegen Kanker
Good health and well-being
Openalex Percentile: Top 15%
Radiomics and Machine Learning in Medical Imaging
1.62
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