ABVS对乳腺癌新辅助化疗疗效评价的应用价值

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Abstract Objective: To estimate the relations between tumor’s longest diameter, area, volume and their reduction rate after neoadjuvant chemotherapy(NACT) and pathological response classification in patients of locally advanced breast cancer, and then investigate the application value of automated breast volume scanner(ABVS) in evaluating the curative effect of NACT. Methods: A prospective study was undertaken in patients undergoing NACT for locally advanced breast cancer in order to determine the ability of quantitative ABVS to assess the final pathologic response. Eighty-one patients were divided into two groups based on pathological response. Pathological response was assessed according to Miller & Payne grading system, of which grade 4 and 5 defined as major histological response(MHR), and grade 1 to 3 as non-major histological response(NMHR). Eighty-one cases with pathologically confirmed locally advanced breast cancer who had been performed four courses of NACT underwent preoperative breast ABVS three times during the NACT. The results are analyzed with T test(or Mann-Whitney U test). Concordance correlation coefficient(CCC) was used to evaluate the agreement among above methods． Receiver operating characteristic curve(R0C) analysis was applied to assess the predictive value of tumor size and the reduction rate． Results: Before, after the second and the fourth cycle of NACT, there were statistical differences in tumor’s longest diameters, areas and volumes among three measurements in MHR group(P<0．05), so does NMHR group(P<0．05)． There were also statistical difference in tumor’s longest diameters between MHR and NMHR(P<0．05), while no difference in tumor’s areas and volumes(P>0．05). The differences between first and second measurements after NACT showed significantly statistical difference(P<0．05)． The reduction rate in MHR group was higher. The same results of reduction rate were found in inter-group between first and second measurements(P<0．05). And the value of second measurement was higher, while the tendency was more obvious in MHR group. Base on reduction rate of their longest diameters, areas and volumes of two times, we take postoperative pathological response as golden standard to get the ROC curve and area under curve(AUC), the above indicators results of first measurement were as follows: 0.696, 0.693, 0.723, the second measurements results were 0.807, 0.824, 0.858. But there were no statistical significance between them. Conclusion: To measure the lesion’s longest diameters, areas and volumes of breast cancer patients with ABVS before and after NACT, we found their agreement are well. ABVS is valuable in evaluating the curative effect of neoadjuvant chemotherapy in patients with breast cancer. After NACT the assessment efficacy of the reduction rate of tumor’s longest diameter, area and volume had significantly predicted effect on estimating pathological reaction

Key words： Breast neoplasms Ultrasonography, mammary

Received: 16 January 2017

PACS:	Ｒ737.9
	Ｒ445.1

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	Articles by authors
	HUANG Mei
	WANG Shu-qun
	FENG Na-na
	XU Hua
	SUN Jian-na
	CHEN Wen
	GAO Feng
	SONG Hong-yu
	LI Jing-yan
	ZHENG Bin

Cite this article:

HUANG Mei,WANG Shu-qun,FENG Na-na, et al. The application value of ABVS in evaluating the curative effect of neoadjuvant chemotherapy in patients with breast cancer[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(11): 774-780.

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http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2017/V28/I11/774

[1]Jemal A, Siegel R, Ward E, et al. Cancer statistics 2008[J]. CA: Cancer J Clin, 2008, 58(2): 71-96. [2]吴艳艳，彭玉兰. 乳腺癌新辅助化疗的影像学评价[J]. 临床超声医学杂志，2010，12（4）：258-261. [3]任学敏，吴超，王瑛新，等. 秦皇岛市农村女性两癌筛查与治疗研究[J]. 河北医药，2012，34（3）：448-449. [4]Mclaughlin R, Hylton N. MRI in breast cancer therapy monitoring[J]. NMR Biomed, 2011, 24(6): 712-720. [5]Wojcinski S, Farrokh A, Hille U, et al. The automated breast volume scanner(ABVS): initial experiences in lesion detection compared with conventional handheld b-mode ultrasound: a pilot study of 50 cases[J]. Int J Women Health, 2011, 3: 337-346. [6]Suzuki C, Jacobsson H, Hatschek T, et al． Radiologic measure merits of tumor response to treatment: practical approaches and limitations[J]． Radiographics, 2008, 28(2): 329-344． [7]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. [8]Kim TH, Kang DK, Yim H, et al. Magnetic resonance imaging patterns of tumor regression after neoadjuvant chemotherapy in breast cancer patients: correlation with pathological response grading system based on tumor cellularity[J]. J Comput Assist Tomogr, 2012, 36(3): 200-206. [9]Martincich L, Montemurro F, De Rosa G, et al． Monitoring response to primary chemotherapy in breast cancer using dynamic contrast-enhanced magnetic resonance imaging[J]． Breast Cancer Res Treat, 2004, 83(1): 67-76． [10]Sharma U, Danishad KK, Seenu V, et al. Longitudinal study of the assessment by MRI and diffussion-weighted imaging of tumor response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy[J]. NMR Biomed, 2009, 22(2): 104. [11]曹满瑞，刘炳光，黄怡，等. 磁共振扩散加权成像早期预测乳腺癌新辅助化疗疗效价值研究[J]. 临床放射学杂志，2012，31（11）：1554-1557. [12]韩咏峰，施丽英，蔡少雨，等. 超声弹性应变率在乳腺癌新辅助化疗疗效评价中的应用价值[J]. 中国超声医学杂志，2016，32（4）：298-300. [13]Omar Falou, Ali SN. Evaluation of neoadjuvant chemotherapy response in women with locally advanced breast cancer using evaluation ultrasound elastography[J]. Trans Oncol, 2013, 6(1): 17-24. [14]杨晓婧，王法. 超声造影在乳腺癌新辅助化疗疗效评价中的价值[J]. 中华实用诊断与治疗杂志，2016，30（4）：396-398. [15]陈潇，叶大才，关海天，等. 彩色多普勒超声评估乳腺癌新辅助化疗疗效的应用价值[J]. 实用癌症杂志，2016，31（9）：1459-1461. [16]李朝喜，刘杨，刘俊峰，等. 彩色多普勒超声对乳腺癌新辅助化疗疗效的评价研究[J]. 现代生物医学进展，2015，15（17）：3325-3328. [17]Whrle NK, Hellerhoff K, Notohamiprodjo M, et al. Automated breast volume scanner(ABVS): a new approach for breast imaging[J]. Radiologe, 2010, 50(11): 973-981. [18]Tozaki M, Isobe S, Yamaguchi M, et al. Optimal scanning technique to cover the whole breast using an automated breast volume scanner[J]. Jpn J Radiol, 2010, 28(4): 325-328. [19]王宁，黄林平. 保乳手术的历史和发展[J]. 中日友好医院学报，2011，25（2）：110-113. [20]孙建娜，骆瑞珍，孔令军，等. 自动乳腺全容积成像结合彩超评价乳腺癌新辅助化疗疗效的应用分析[J]. 中国肿瘤临床，2014，41（14）：913-916. [21]朱罗茜，包凌云，谭艳娟. 自动乳腺全容积成像在乳腺癌术前测量评估中的应用[J]. 浙江医学，2012，34（23）：1889-1891. [22]陈元元，李有怀，马蓉，等. 超声测量最大径线在乳腺癌新辅助化疗疗效评价中的价值[J]. 中国现代普通外科进展，2016，19（3）：197-201. [23]Fisher ER, Wang J, Bryant J, et al． Pathobiology of preoperative chemotherapy． Findings from the national surgical adjuvant breast and bowel project(NSABP) protocol B-18[J]． Cancer, 2002, 95(4): 681-695． [24]Kwong MS, Chung GG, Horvath LJ, et al. Post-chemotherapy MRI overestimates residual disease compared with histopathology in responders to neoadjuvant therapy for locally advanced breast cancer[J]. Cancer J, 2006, 12(3): 212-221.