Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating study
采用深度学习分析的FDG- PET显像数据集预测口咽鳞癌患者的人乳头瘤病毒状态:一项假设生成研究
作者: Noriyuki FujimaV Carlota Andreu-ArasaSara K MeibomGustavo A MercierMinh Tam TruongOsamu Sakai
作者单位: 1Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
2Department of Radiation Oncology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
3Department of Otolaryngology-Head and Neck Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
4Research Center for Cooperative Projects, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan
刊名: European Journal of Radiology, 2020, Vol.126
来源数据库: Elsevier Journal
DOI: 10.1016/j.ejrad.2020.108936
关键词: Deep learningHuman papillomavirusOropharyngeal squamous cell carcinoma18F-fluorodeoxyglucose positron-emission tomography
原始语种摘要: Abstract(#br)Purpose(#br)To assess the diagnostic accuracy of imaging-based deep learning analysis to differentiate between human papillomavirus (HPV) positive and negative oropharyngeal squamous cell carcinomas (OPSCCs) using FDG-PET images.(#br)Methods(#br)One hundred and twenty patients with OPSCC who underwent pretreatment FDG-PET/CT were included and divided into the training 90 patients and validation 30 patients cohorts. In the training session, 2160 FDG-PET images were analyzed after data augmentation process by a deep learning technique to create a diagnostic model to discriminate between HPV-positive and HPV-negative OPSCCs. Validation cohort data were subsequently analyzed for confirmation of diagnostic accuracy in determining HPV status by the deep learning-based diagnosis...
全文获取路径: Elsevier  (合作)
分享到:
来源刊物:
影响因子:2.512 (2012)

×
关键词翻译
关键词翻译
  • papillomavirus 乳头状瘤病毒
  • squamous 具鳞的
  • carcinoma 癌症
  • oropharyngeal 口咽的
  • learning 学识
  • PET PagE frame Table
  • imaging 图像形成
  • diagnostic 诊断的
  • supportive 支援性
  • analysis 分析