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

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. [Article]

Documents
27165:556822
[thumbnail of fsoa-2020-0073.pdf]
Preview
PDF
fsoa-2020-0073.pdf - Published Version
Available under License Creative Commons Attribution.

Download (9MB) | Preview
27165:556951
[thumbnail of Graphs]
Preview
Image (JPEG) (Graphs)
Tran_QuantitativeUltrasound(Supp).jpg - Supplemental Material
Available under License Creative Commons Attribution.

Download (132kB) | Preview
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.
Statistics

Downloads

Downloads per month over past year

Metrics

Altmetric Badge

Dimensions Badge

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Actions (login required)

View Item View Item