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ABSTRACT: Aim
We investigated quantitative ultrasound (QUS) in patients with node-positive head and neck malignancies for monitoring responses to radical radiotherapy (RT).Materials & methods
QUS spectral and texture parameters were acquired from metastatic lymph nodes 24 h, 1 and 4 weeks after starting RT. K-nearest neighbor and naive-Bayes machine-learning classifiers were used to build prediction models for each time point. Response was detected after 3 months of RT, and patients were classified into complete and partial responders.Results
Single-feature naive-Bayes classification performed best with a prediction accuracy of 80, 86 and 85% at 24 h, week 1 and 4, respectively.Conclusion
QUS-radiomics can predict RT response at 3 months as early as 24 h with reasonab
SUBMITTER: Tran WT
PROVIDER: S-EPMC7668124 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature