TRAN, William T., SURAWEERA, Harini, QUAIOIT, Karina, CARDENAS, Daniel, LEONG, Kai X, KARAM, Irene, POON, Ian, JANG, Deok, SANNACHI, Lakshmanan, GANGEH, Mehrdad, TABBARAH, Sami, LAGREE, Andrew, SADEGHI-NAINI, Ali and CZARNOTA, Gregory J (2019). Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer. Future Science OA, FSOA433.
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Abstract
Aim: We aimed to identify quantitative ultrasound (QUS)-radiomic markers to predict radiotherapy response in metastatic lymph nodes of head and neck cancer. Materials & methods: Node-positive head and neck cancer patients underwent pretreatment QUS imaging of their metastatic lymph nodes. Imaging features were extracted using the QUS spectral form, and second-order texture parameters. Machine-learning classifiers were used for predictive modeling, which included a logistic regression, naive Bayes, and k-nearest neighbor classifiers. Results: There was a statistically significant difference in the pretreatment QUS-radiomic parameters between radiological complete responders versus partial responders (p < 0.05). The univariable model that demonstrated the greatest classification accuracy included: spectral intercept (SI)-contrast (area under the curve = 0.741). Multivariable models were also computed and showed that the SI-contrast + SI-homogeneity demonstrated an area under the curve = 0.870. The three-feature model demonstrated that the spectral slope-correlation + SI-contrast + SI-homogeneity-predicted response with accuracy of 87.5%. Conclusion: Multivariable QUS-radiomic features of metastatic lymph nodes can predict treatment response a priori.
Item Type: | Article |
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Additional Information: | ** From Future Science Group via Jisc Publications Router ** Licence for this article: http://creativecommons.org/licenses/by/4.0/ **Journal IDs: eissn 2056-5623 **History: published 26-11-2019; online 26-11-2019; published 10-2019; accepted 20-09-2019; submitted 15-04-2019 |
Uncontrolled Keywords: | Research Article, chemoradiation, head and neck carcinoma, predictive assay, quantitative ultrasound, radiation therapy, radiomic |
Identification Number: | https://doi.org/10.2144/fsoa-2019-0048 |
Page Range: | FSOA433 |
SWORD Depositor: | Justine Gavin |
Depositing User: | Justine Gavin |
Date Deposited: | 27 Nov 2019 09:57 |
Last Modified: | 18 Mar 2021 03:10 |
URI: | https://shura.shu.ac.uk/id/eprint/25489 |
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