Early prediction of therapy responses and outcomes in breast cancer patients using quantitative ultrasound spectral texture

摘要: // Ali Sadeghi-Naini 1,2,3,4 , Lakshmanan Sannachi Kathleen Pritchard 5 Maureen Trudeau Sonal Gandhi Frances C. Wright 6,7 Judit Zubovits 8 Martin J. Yaffe 1,3 Michael Kolios 3,9 Gregory Czarnota 1 Imaging Research - Physical Sciences, Sunnybrook Institute, Health Sciences Centre, Toronto, ON, Canada 2 Department of Radiation Oncology, Odette Cancer 3 Medical Biophysics, Faculty Medicine, University 4 and 6 Division General Surgery, 7 Pathology, 9 Physics, Ryerson University, Correspondence: Czarnota, email: Keywords : Personalized medicine, Therapy response monitoring, Breast Cancer, Neo-adjuvant chemotherapy, Tumor heterogeneity, Textural analysis, Quantitative ultrasound. Received March 12, 2014 Accepted May 6, Published 7, Abstract Early alterations in textural characteristics quantitative ultrasound spectral parametric maps, conjunction with changes their mean values, are demonstrated here, for the first time, to be capable predicting ultimate clinical/pathologic responses breast cancer patients chemotherapy. Mechanisms cell death, induced by chemotherapy within tumor, introduce morphological cancerous cells, resulting measurable tissue echogenicity. We have that development such is reflected early followed consequent values. The spectral/textural biomarkers derived on this basis been as non-invasive surrogates response. Particularly, sensitive size concentration acoustic scatterers could predict treatment up 80% sensitivity specificity (p=0.050), after one week 3-4 months However, characterizing heterogeneities distribution scatterers, differentiate between responding non-responding 100% 93% (p=0.002). Such prediction permits offering effective alternatives standard treatment, or switching a salvage therapy, refractory patients.