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Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies.


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 reasonable accuracy, which further improves into 1 week of treatment.

SUBMITTER: Tran WT 

PROVIDER: S-EPMC7668124 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies.

Tran William T WT   Suraweera Harini H   Quiaoit Karina K   DiCenzo Daniel D   Fatima Kashuf K   Jang Deok D   Bhardwaj Divya D   Kolios Christopher C   Karam Irene I   Poon Ian I   Sannachi Lakshmanan L   Gangeh Mehrdad M   Sadeghi-Naini Ali A   Dasgupta Archya A   Czarnota Gregory J GJ  

Future science OA 20200904 9


<h4>Aim</h4>We investigated quantitative ultrasound (QUS) in patients with node-positive head and neck malignancies for monitoring responses to radical radiotherapy (RT).<h4>Materials & methods</h4>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 c  ...[more]

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