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

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 startin...

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Detalles Bibliográficos
Autores principales: Tran, William T, 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, Czarnota, Gregory J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668124/
https://www.ncbi.nlm.nih.gov/pubmed/33235811
http://dx.doi.org/10.2144/fsoa-2020-0073
Descripción
Sumario: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.