Abstract:Objective: To investigate the application value of the therapeutic effectiveness of neoadjuvant chemotherapy(NAC) in patient with primary breast carcinoma by superb microvascular imaging. Methods: Seventy-three primary breast carcinoma lesions were imaged by using superb microvascular imaging in 57 patients with post- and prior-NAC treatment. The maximum diameters, blood flow classification and hemodynomics parameter of lesion were studied. Result: The maximum diameters of 73 post-NAC treatment were less than those of prior-NAC treatment. The blood flow classification(majority, 0 or Ⅰ level) and blood flow parameters Vmax and RI of lesions in post-NAC treatment were lowered than those in prior-NAC treatment(P<0.05). The effective rate were 79.5%(21 cases with complete response and 37 cases with partial response). This result was good consistency with pathology evaluate results. Conclusion: Superb microvascular imaging may evaluate therapeutic effectiveness of NAC in patients with primary breast carcinoma by using way of non-invasively, speed and effective method.
袁 惠,马 芸,陈洪艳,田 睿. 超微血管成像技术在乳腺癌新辅助化疗疗效评估中的价值[J]. 中国临床医学影像杂志, 2017, 28(2): 99-100.
YUAN Hui, MA Yun, CHEN Hong-yan, TIAN Rui. Value on the therapeutic effectiveness of neoadjuvant chemotherapy in patients with #br#
primary breast carcinoma by superb microvascular imaging. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(2): 99-100.
[1]Fan L, Strasser-Weippl K, Li JJ, et al. Breast cancer in China[J]. Lancet Oncol, 2014, 15(7): 279-289.
[2]Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumors: revised RECIST guideline(version 1.1)[J]. Eur J Cancer, 2009, 45(2): 228-247.
[3]Ogston KN, Miller ID, Payne S, et al. A new histological grading system to assess response of breast cancers to primary chemotherapy: prognostic significance and survival[J]. Breast, 2003, 12(5): 320-327.
[4]Warner E. Clinical practice. Breast-cancer screening[J]. N Engl J Med, 2011, 365(11): 1025-1032.
[5]Heijblom M, Klaase JM, van den Engh FM, et al. Imaging tumor vascularization for detection and diagnosis of breast cancer[J]. Technol Cancer Res Treat, 2012, 10(6): 607-623.
[6]Kumar A, Srivastava V, Singh S, et al. Color Doppler ultrasonography for treatment response prediction and evaluation in breast cancer[J]. Future Oncol, 2010, 6(8): 1265-1278.
[7]Liu Y, Chen HD, Huang JH, et al. Computer aided diagnosis system for breast cancer based on color Doppler flow imaging[J]. J Med Syst, 2012, 36(6): 3975-3982.
[8]马燕,郭嵩,李晶,等. 超微血管成像技术联合超声BI-RADS分级在鉴别乳腺良恶性肿物中应用价值[J]. 中国临床医学影像杂志,2016,27(1):10-13.