TRAN, William, SURAWEERA, Harini, QUIAOIT, Karina, DICENZO, Daniel, FATIMA, Kashuf, JANG, Deok, BHARDWAJ, Divya, KOLIOS, Christopher, KARAM, Irene, POON, Ian, SANNACHI, Lakshmanan, GANGEH, Mehrdad, SADEGHI-NAINI, Ali, DASGUPTA, Archya and CZARNOTA, Gregory J (2020). Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies. Future Science OA, 6 (9), FSO624.
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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 reasonable accuracy, which further improves into 1 week of treatment.
Item Type: | Article |
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Identification Number: | https://doi.org/10.2144/fsoa-2020-0073 |
Page Range: | FSO624 |
SWORD Depositor: | Colin Knott |
Depositing User: | Colin Knott |
Date Deposited: | 07 Sep 2020 12:16 |
Last Modified: | 17 Mar 2021 21:01 |
URI: | https://shura.shu.ac.uk/id/eprint/27165 |
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