Multiparametric MRI–based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques-Reference-Cited by-同舟云学术

Multiparametric MRI–based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques

Published:2023-10-18 Issue: Volume: Page:
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Sim Yongsik,Kim Minjae,Kim Jinna,Lee Seung-Koo,Han Kyunghwa,Sohn Beomseok^ORCID

Funder

Yonsei University College of Medicine

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-10338-3.pdf

Reference47 articles.

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2. Chaturvedi AK, Engels EA, Pfeiffer RM et al (2011) Human papillomavirus and rising oropharyngeal cancer incidence in the United States. J Clin Oncol 29:4294–4301

3. Faraji F, Rettig EM, Tsai HL et al (2019) The prevalence of human papillomavirus in oropharyngeal cancer is increasing regardless of sex or race, and the influence of sex and race on survival is modified by human papillomavirus tumor status. Cancer 125:761–769

4. Mariz B, Kowalski LP, William WN Jr et al (2020) Global prevalence of human papillomavirus-driven oropharyngeal squamous cell carcinoma following the ASCO guidelines: a systematic review and meta-analysis. Crit Rev Oncol Hematol 156:103116

5. Weinberger PM, Yu Z, Haffty BG et al (2006) Molecular classification identifies a subset of human papillomavirus–associated oropharyngeal cancers with favorable prognosis. J Clin Oncol 24:736–747

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