TY - JOUR
T1 - Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters
AU - Sannachi, Lakshmanan
AU - Tadayyon, Hadi
AU - Sadeghi-Naini, Ali
AU - Tran, William
AU - Gandhi, Sonal
AU - Wright, Frances
AU - Oelze, Michael
AU - Czarnota, Gregory
N1 - Funding Information:
This work was supported by the Natural Sciences and Engineering Council of Canada , Terry Fox New Frontiers Program Projects in Ultrasound for Cancer Therapy, Canadian Breast Cancer Foundation – Ontario Region, the Canadian Institutes of Health Research, the Canadian Foundation for Innovation, Ontario Ministry of Research and Innovation and Ryerson University. G.J.C. is an author on two issued patents ‘Use of high frequency ultrasound imaging to detect and monitor the process of apoptosis in living tissues, ex vivo tissues and cell-culture’ US patent #6511430 and a ‘Method of monitoring cellular death using low frequency ultrasound’ US patent #8192362 held by the Sunnybrook Health Sciences Centre (Toronto, ON, Canada). G.J.C. holds a Jim and Mry Davie Research Chair in Breast Cancer Imaging. A.S.N. holds a Banting Postdoctoral Fellowship, and held a Canadian Breast Cancer Foundation Postdoctoral Fellowship partly during the conduct of this research.
Publisher Copyright:
© 2014.
PY - 2015/2/1
Y1 - 2015/2/1
N2 - Tumor response to neoadjuvant chemotherapy in patients (n = 30) with locally advanced breast cancer (LABC) was examined using quantitative ultrasound. Three ultrasound backscatter parameters, the integrated backscatter coefficient (IBC), average scatterer diameter (ASD), and average acoustic concentration (AAC), were estimated from tumors prior to treatment and at four times during neoadjuvant chemotherapy treatment (weeks 0, 1, 4, 8, and prior to surgery) and compared to ultimate clinical and pathological tumor responses. Results demonstrated that among all parameters, AAC was the best indicator of tumor response early after starting treatment. The AAC parameter increased substantially in treatment-responding patients as early as one week after treatment initiation, further increased at week 4, and attained a maximum at week 8. In contrast, the backscatter parameters from non-responders did not show any changes after treatment initiation. The two patient populations exhibited a statistically significant difference in changes of AAC (p <. 0.001) and ASD (p = 0.023) over all treatment times examined. The best prediction of treatment response was achieved with the combination of AAC and ASD at week 4 (82% sensitivity, 100% specificity, and 86% accuracy) of 12-18. weeks of treatment. The survival of patients with responsive ultrasound parameters was higher than patients with non-responsive ultrasound parameters (35. ±. 11 versus 27. ±. 11. months, respectively, p = 0.043). This study demonstrates that ultrasound parameters derived from the ultrasound backscattered power spectrum can potentially serve as non-invasive early measures of clinical tumor response to chemotherapy treatments.
AB - Tumor response to neoadjuvant chemotherapy in patients (n = 30) with locally advanced breast cancer (LABC) was examined using quantitative ultrasound. Three ultrasound backscatter parameters, the integrated backscatter coefficient (IBC), average scatterer diameter (ASD), and average acoustic concentration (AAC), were estimated from tumors prior to treatment and at four times during neoadjuvant chemotherapy treatment (weeks 0, 1, 4, 8, and prior to surgery) and compared to ultimate clinical and pathological tumor responses. Results demonstrated that among all parameters, AAC was the best indicator of tumor response early after starting treatment. The AAC parameter increased substantially in treatment-responding patients as early as one week after treatment initiation, further increased at week 4, and attained a maximum at week 8. In contrast, the backscatter parameters from non-responders did not show any changes after treatment initiation. The two patient populations exhibited a statistically significant difference in changes of AAC (p <. 0.001) and ASD (p = 0.023) over all treatment times examined. The best prediction of treatment response was achieved with the combination of AAC and ASD at week 4 (82% sensitivity, 100% specificity, and 86% accuracy) of 12-18. weeks of treatment. The survival of patients with responsive ultrasound parameters was higher than patients with non-responsive ultrasound parameters (35. ±. 11 versus 27. ±. 11. months, respectively, p = 0.043). This study demonstrates that ultrasound parameters derived from the ultrasound backscattered power spectrum can potentially serve as non-invasive early measures of clinical tumor response to chemotherapy treatments.
KW - Breast cancer
KW - Chemotherapy
KW - Clinical response
KW - Quantitative ultrasound
KW - Scattering property
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U2 - 10.1016/j.media.2014.11.009
DO - 10.1016/j.media.2014.11.009
M3 - Article
C2 - 25534283
AN - SCOPUS:84920929648
SN - 1361-8415
VL - 20
SP - 224
EP - 236
JO - Medical Image Analysis
JF - Medical Image Analysis
IS - 1
ER -