Cargando…
A priori prediction of breast tumour response to chemotherapy using quantitative ultrasound imaging and artificial neural networks
We demonstrate the clinical utility of combining quantitative ultrasound (QUS) imaging of the breast with an artificial neural network (ANN) classifier to predict the response of breast cancer patients to neoadjuvant chemotherapy (NAC) administration prior to the start of treatment. Using a 6 MHz ul...
Autores principales: | Tadayyon, Hadi, Gangeh, Mehrdad, Sannachi, Lakshmanan, Trudeau, Maureen, Pritchard, Kathleen, Ghandi, Sonal, Eisen, Andrea, Look-Hong, Nicole, Holloway, Claire, Wright, Frances, Rakovitch, Eileen, Vesprini, Danny, Tran, William Tyler, Curpen, Belinda, Czarnota, Gregory |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6570472/ https://www.ncbi.nlm.nih.gov/pubmed/31231468 http://dx.doi.org/10.18632/oncotarget.26996 |
Ejemplares similares
-
A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound
por: Tadayyon, Hadi, et al.
Publicado: (2017) -
Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach
por: Tadayyon, Hadi, et al.
Publicado: (2016) -
Correction: Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach
por: Tadayyon, Hadi, et al.
Publicado: (2017) -
Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features
por: Sannachi, Lakshmanan, et al.
Publicado: (2018) -
Breast Cancer Treatment Response Monitoring Using Quantitative Ultrasound and Texture Analysis: Comparative Analysis of Analytical Models
por: Sannachi, Lakshmanan, et al.
Publicado: (2019)