Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.
Journal:
BMC cancer
Published Date:
Aug 6, 2021
Abstract
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Authors
Keywords
Adult
Aged
Aged, 80 and over
Biomarkers, Tumor
Clinical Decision-Making
Combined Modality Therapy
Deep Learning
Disease Management
Female
Fluorodeoxyglucose F18
Humans
Image Processing, Computer-Assisted
Kaplan-Meier Estimate
Male
Middle Aged
Neoplasm Staging
Oropharyngeal Neoplasms
Positron Emission Tomography Computed Tomography
Positron-Emission Tomography
Prognosis
ROC Curve
Squamous Cell Carcinoma of Head and Neck
Treatment Outcome
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