Abstract
Introduction
Ultrasound (US) is conventionally performed to determine effects of neoadjuvant chemotherapy (NAC) on breast cancer. In patients with triple-negative breast cancer (TNBC), higher pathological complete response (pCR) predicts the most favorable survival outcome. We aimed to predict pCR to NAC using echogenicity changes in US region of interest (ROI) in patients with TNBC.
Methods and materials
We retrospectively determined clinicopathological characteristics of 52 patients with primary TNBC who underwent NAC. Changes in echogenicity for pCR and non-pCR patients were calculated from ratios of tumor to fat (T/F) in their ROIs, before and after NAC, as [T/F After/T/F Before] and [T/F After − T/F Before].
Results
Of the 52 patients (median age: 52 years; range 26–77 years), 20 (38.5%) achieved pCR, which was significantly associated with change in ROI ratio (P < 0.01). The cut-off values for ROI ratio and ROI difference were 0.8 and 0.3. Sensitivity and specificity were 73.7 and 81.8% for ROI ratio, and 70.0 and 81.3% for ROI difference. Area under the curves (AUCs) for ROI ratio and ROI difference were 0.80 [95% confidence interval (CI) 0.67–0.92] and 0.78 (95% CI 0.64–0.92), respectively.
Conclusion
Quantification of echogenic changes by converting absolute values of tumor and fat regions can predict pCR and individual differences between tumors after NAC in patients with TNBC.
Similar content being viewed by others
References
Killelea BK, Yang VQ, Mougalian S, Horowitz NR, Pusztai L, Chagpar AB, et al. Neoadjuvant chemotherapy for breast cancer increases the rate of breast conservation: results from the National Cancer Database. J Am Coll Surg. 2015;220:1063–9.
Kaufmann M, von Minckwitz G, Mamounas E, Cameron D, Carey L, Cristofanilli M, et al. Recommendations from an international consensus conference on the current status and future of neoadjuvant systemic therapy in primary breast cancer. Ann Surg Oncol. 2012;19:1508–16.
Bear HD, Anderson S, Smith RE, Geyer CE Jr, Mamounas EP, Fisher B, et al. Sequential preoperative or postoperative docetaxel added to preoperative doxorubicin plus cyclophosphamide for operable breast cancer: National surgical adjuvant breast and bowel project protocol B-27. J Clin Oncol. 2006;24:2019–27.
Cortazar P, Zhang L, Untch M, Mehta K, Costantino JP, Wolmark N, et al. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. Lancet. 2014;384:164–72.
Dialani V, Chadashvili T, Slanetz PJ. Role of imaging in neoadjuvant therapy for breast cancer. Ann Surg Oncol. 2015;22:1416–24.
Gilles R, Guinebretiere JM, Toussaint C, Spielman M, Rietjens M, Petit JY, et al. Locally advanced breast cancer: contrast-enhanced subtraction MR imaging of response to preoperative chemotherapy. Radiology. 1994;191:633–8.
Segara D, Krop IE, Garber JE, Winer E, Harris L, Bellon JR, et al. Does MRI predict pathologic tumor response in women with breast cancer undergoing preoperative chemotherapy? J Surg Oncol. 2007;96:474–80.
Stucky CC, McLaughlin SA, Dueck AC, Gray RJ, Giurescu ME, Carpenter SG, et al. Does magnetic resonance imaging accurately predict residual disease in breast cancer? Am J Surg. 2009;198:547–52.
Li YL, Zhang XP, Li J, Cao K, Cui Y, Li XT, et al. MRI in diagnosis of pathological complete response in breast cancer patients after neoadjuvant chemotherapy. Eur J Radiol. 2015;84:242–9.
Parekh T, Dodwell D, Sharma N, Shaaban AM. Radiological and Pathological Predictors of response to neoadjuvant chemotherapy in breast cancer: a brief literature review. Pathobiology. 2015;82:124–32.
Wolff AC, Hammond ME, Hicks DG, Dowsett M, McShane LM, Allison KH, et al. Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American society of clinical oncology/college of American pathologists clinical practice guideline update. J Clin Oncol. 2013;31:3997–4013.
Allred DC, Harvey JM, Berardo M, Clark GM. Prognostic and predictive factors in breast cancer by immunohistochemical analysis. Mod Pathol. 1998;11:155–68.
Alam SK, Feleppa EJ, Rondeau M, Kalisz A, Garra BS. Ultrasonic multi-feature analysis procedure for computer-aided diagnosis of solid breast lesions. Ultrason Imaging. 2011;33:17–38.
Sadeghi-Naini A, Papanicolau N, Falou O, Zubovits J, Dent R, Verma S, et al. Quantitative ultrasound evaluation of tumor cell death response in locally advanced breast cancer patients receiving chemotherapy. Clin Cancer Res. 2013;19:2163–74.
Banihashemi B, Vlad R, Debeljevic B, Giles A, Kolios MC, Czarnota GJ. Ultrasound imaging of apoptosis in tumor response: novel preclinical monitoring of photodynamic therapy effects. Cancer Res. 2008;68:8590–6.
Smith IC, Heys SD, Hutcheon AW, Miller ID, Payne S, Gilbert FJ, et al. Neoadjuvant chemotherapy in breast cancer: significantly enhanced response with docetaxel. J Clin Oncol. 2002;20:1456–66.
von Minckwitz G, Blohmer JU, Costa SD, Denkert C, Eidtmann H, Eiermann W, et al. Response-guided neoadjuvant chemotherapy for breast cancer. J Clin Oncol. 2013;31:3623–30.
Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45:228–47.
Marinovich ML, Houssami N, Macaskill P, von Minckwitz G, Blohmer JU, Irwig L. Accuracy of ultrasound for predicting pathologic response during neoadjuvant therapy for breast cancer. Int J Cancer. 2015;136:2730–7.
Segel MC, Paulus DD, Hortobagyi GN. Advanced primary breast cancer: assessment at mammography of response to induction chemotherapy. Radiology. 1988;169:49–54.
Helvie MA, Joynt LK, Cody RL, Pierce LJ, Adler DD, Merajver SD. Locally advanced breast carcinoma: accuracy of mammography versus clinical examination in the prediction of residual disease after chemotherapy. Radiology. 1996;198:327–32.
Keune JD, Jeffe DB, Schootman M, Hoffman A, Gillanders WE, Aft RL. Accuracy of ultrasonography and mammography in predicting pathologic response after neoadjuvant chemotherapy for breast cancer. Am J Surg. 2010;199:477–84.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
No potential conflicts of interest were disclosed.
About this article
Cite this article
Matsuda, N., Kida, K., Ohde, S. et al. Change in sonographic brightness can predict pathological response of triple-negative breast cancer to neoadjuvant chemotherapy. Breast Cancer 25, 43–49 (2018). https://doi.org/10.1007/s12282-017-0782-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12282-017-0782-z