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A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound.
Tadayyon, Hadi; Sannachi, Lakshmanan; Gangeh, Mehrdad J; Kim, Christina; Ghandi, Sonal; Trudeau, Maureen; Pritchard, Kathleen; Tran, William T; Slodkowska, Elzbieta; Sadeghi-Naini, Ali; Czarnota, Gregory J.
Affiliation
  • Tadayyon H; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
  • Sannachi L; Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Gangeh MJ; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
  • Kim C; Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Ghandi S; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
  • Trudeau M; Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Pritchard K; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
  • Tran WT; Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Slodkowska E; Division of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
  • Sadeghi-Naini A; Division of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
  • Czarnota GJ; Division of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Sci Rep ; 7: 45733, 2017 04 12.
Article in En | MEDLINE | ID: mdl-28401902
ABSTRACT
Quantitative ultrasound (QUS) can probe tissue structure and analyze tumour characteristics. Using a 6-MHz ultrasound system, radiofrequency data were acquired from 56 locally advanced breast cancer patients prior to their neoadjuvant chemotherapy (NAC) and QUS texture features were computed from regions of interest in tumour cores and their margins as potential predictive and prognostic indicators. Breast tumour molecular features were also collected and used for analysis. A multiparametric QUS model was constructed, which demonstrated a response prediction accuracy of 88% and ability to predict patient 5-year survival rates (p = 0.01). QUS features demonstrated superior performance in comparison to molecular markers and the combination of QUS and molecular markers did not improve response prediction. This study demonstrates, for the first time, that non-invasive QUS features in the core and margin of breast tumours can indicate breast cancer response to neoadjuvant chemotherapy (NAC) and predict five-year recurrence-free survival.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Ultrasonography Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Middle aged Language: En Journal: Sci Rep Year: 2017 Document type: Article Affiliation country: Canada

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Ultrasonography Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Middle aged Language: En Journal: Sci Rep Year: 2017 Document type: Article Affiliation country: Canada