Evaluation of Pathologic Response of Breast Cancer To Neoadjuvant Chemotherapy with Magnetic Resonance Diffusion Weighted Imaging_Journal of Biomedical Engineering

Authors：

LUOYi ,  YUJianqun , XUZhongzi , ZENGHanjiang , CHENHui

Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China;

Corresponding author：

YUJianqun, Email: cjr.yujianqun@vip.163.com

Keywords：

breast cancer; neoadjuvant chemotherapy; magnetic resonance imaging; diffusion weighted imaging

DOI：

10.7507/1001-5515.20140253

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

This paper aims to investigate the value of diffusiion weighted imaging (DWI) and different apparent diffusion coefficient (ADC) methods to predict the curative effects of neoadjuvant chempotherapy (NAC) for breast cancer. From March 2010 to December 2012, seventy-one patients were pathologically confirmed invasive breast cancer by needle puncture biopsy received before surgery, and underwent magnetic resonance before and after NAC, the ADC were measured by mean ADC method and lower ADC method. The pathologic response after NAC was divided to major histological response (MHR) group and non-major histological response (NMHR) group according to Miller & Payne system. Results displayed that ADC values obtained before NAC, at the end of the second cycle of NAC, and after whole course of treatment, had good correlations between mean and lower ADC methods (the Pearson's correlation=0.699, 0.749 and 0.895, respectively). Significant difference in ADC obtained both with mean and lower ADC methods could be found between MHR and NMHR groups after the second cycle of NAC (P<0.05). After the second cycle of NAC, significant difference in the change rate of ADC could be found between MHR and NMHR groups by using lower ADC method (P<0.05), but not be found by using mean ADC method (P＞0.05). In conclusion, DWI could monitor the pathologic changes of breast cancer after NAC, and the lower ADC method might be used to evaluate the curative effect of NAC with the change rate of ADC.

Citation： LUOYi, YUJianqun, XUZhongzi, ZENGHanjiang, CHENHui. Evaluation of Pathologic Response of Breast Cancer To Neoadjuvant Chemotherapy with Magnetic Resonance Diffusion Weighted Imaging. Journal of Biomedical Engineering, 2014, 31(6): 1336-1341. doi: 10.7507/1001-5515.20140253 Copy

1.	汪登斌,谭令,江浩,等.乳腺癌MRI研究[J].中国医学计算机成像杂志,2002,8(1):23-27.
2.	CHARFARE H, LIMOGELLI S, PURUSHOTHAM A D, et al. Neoadjuvant chemotherapy in breast cancer[J]. Br J Surg, 2005, 92(1):14-23.
3.	GILLES R, GUINEBRETIERE J M, TOUSSAINT C, et al. Locally advanced breast cancer:contrast-enhanced subtraction MR imaging of response to preoperative chemotherapy[J]. Radiology, 1994, 191(3):633-638.
4.	PROVENZALE J M, MUKUNDAN S, BARBORIAK D P. Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response[J]. Radiology, 2006, 239(3):632-649.
5.	OGSTON K N, MILLER I D, 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.
6.	武春雪,王霄英,秦乃姗,等.NAC疗效磁共振扩散加权成像表观扩散系数对局部进展期乳腺癌新辅助化疗的评估——不同测量方法比较[J].中国医学影像技术,2009,25(11):2036-2039.
7.	NILSEN L, FANGBERGET A, GEIER O, et al. Diffusion-weighted magnetic resonance imaging for pretreatments prediction and monitoring of treatment response of patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy[J]. Acta Oncol, 2010, 49(3):354-360.
8.	WOODHAMS R, KAKITA S, HATA H, et al. Identification of residual breast carcinoma following neoadjuvant chemotherapy:diffusion weighted imaging-comparison with contrast-enhanced MR imaging and pathologic findings[J]. Radiology, 2010, 254(2):357-366.
9.	石桥,王霄英,郭丽,等.局部进展期乳腺癌新辅助化疗早期ADC值变化与病理反应性的相关性[J].中国医学影像技术,2011,27(12):2480-2484.
10.	汪晓红,彭卫军,谭红娜,等.磁共振弥散加权成像监测乳腺癌新辅助化疗疗效的应用价值[J].中华肿瘤杂志,2010,32(5):377-381.
11.	FANGBERGET A, NILSEN L B, HOLE K H, et al. Neoadjuvant chemotherapy in breast cancer-response evaluation and prediction of response to treatment using dynamic contrast-enhanced and diffusion-weighted MR imaging[J]. Eur Radiol, 2011, 21(6):1188-1199.
12.	高影,程流泉,刘梅,等.MRI对局部进展期乳腺癌新辅助化疗早期疗效评价[J].中国医学影像学杂志,2012,20(5):321-324.
13.	MARDOR Y, ROTH Y, OCHERASHVILLI A, et al. Pretreatment prediction of brain tumors'response to radiation therapy using high B-value diffusion-weighted MRI[J]. Neoplasia, 2004, 6(2):136-142.
14.	SHARMA U, DANISHAD K K, SEEMU V, et al. Longitudinal study of the assessment by MRI and diffusion-weighted imaging of tumor response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy[J]. NMR Biomed, 2009, 22(1):104-113.
15.	CHENEVERT T L, MEYER C R, MOFFAT B A, et al. A new strategy for assessment of cancer therapeutic efficacy[J]. Mol Imaging, 2002,1(4):336-343.
16.	LEE K C, MOFFAT B A, SCHOTT A F, et al. Prospective early response imaging biomarker for neoadjuvant breast cancer chemotherapy[J]. Clin Cancer Res, 2007, 13(2 Pt 1):443-450.
17.	张静,程流泉,安宁豫,等.磁共振扩散加权成像评估乳腺癌新辅助化疗疗效[J].中国医学影像技术,2011,27(6):1145-1149.

1. 汪登斌,谭令,江浩,等.乳腺癌MRI研究[J].中国医学计算机成像杂志,2002,8(1):23-27.
2. CHARFARE H, LIMOGELLI S, PURUSHOTHAM A D, et al. Neoadjuvant chemotherapy in breast cancer[J]. Br J Surg, 2005, 92(1):14-23.
3. GILLES R, GUINEBRETIERE J M, TOUSSAINT C, et al. Locally advanced breast cancer:contrast-enhanced subtraction MR imaging of response to preoperative chemotherapy[J]. Radiology, 1994, 191(3):633-638.
4. PROVENZALE J M, MUKUNDAN S, BARBORIAK D P. Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response[J]. Radiology, 2006, 239(3):632-649.
5. OGSTON K N, MILLER I D, 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.
6. 武春雪,王霄英,秦乃姗,等.NAC疗效磁共振扩散加权成像表观扩散系数对局部进展期乳腺癌新辅助化疗的评估——不同测量方法比较[J].中国医学影像技术,2009,25(11):2036-2039.
7. NILSEN L, FANGBERGET A, GEIER O, et al. Diffusion-weighted magnetic resonance imaging for pretreatments prediction and monitoring of treatment response of patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy[J]. Acta Oncol, 2010, 49(3):354-360.
8. WOODHAMS R, KAKITA S, HATA H, et al. Identification of residual breast carcinoma following neoadjuvant chemotherapy:diffusion weighted imaging-comparison with contrast-enhanced MR imaging and pathologic findings[J]. Radiology, 2010, 254(2):357-366.
9. 石桥,王霄英,郭丽,等.局部进展期乳腺癌新辅助化疗早期ADC值变化与病理反应性的相关性[J].中国医学影像技术,2011,27(12):2480-2484.
10. 汪晓红,彭卫军,谭红娜,等.磁共振弥散加权成像监测乳腺癌新辅助化疗疗效的应用价值[J].中华肿瘤杂志,2010,32(5):377-381.
11. FANGBERGET A, NILSEN L B, HOLE K H, et al. Neoadjuvant chemotherapy in breast cancer-response evaluation and prediction of response to treatment using dynamic contrast-enhanced and diffusion-weighted MR imaging[J]. Eur Radiol, 2011, 21(6):1188-1199.
12. 高影,程流泉,刘梅,等.MRI对局部进展期乳腺癌新辅助化疗早期疗效评价[J].中国医学影像学杂志,2012,20(5):321-324.
13. MARDOR Y, ROTH Y, OCHERASHVILLI A, et al. Pretreatment prediction of brain tumors'response to radiation therapy using high B-value diffusion-weighted MRI[J]. Neoplasia, 2004, 6(2):136-142.
14. SHARMA U, DANISHAD K K, SEEMU V, et al. Longitudinal study of the assessment by MRI and diffusion-weighted imaging of tumor response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy[J]. NMR Biomed, 2009, 22(1):104-113.
15. CHENEVERT T L, MEYER C R, MOFFAT B A, et al. A new strategy for assessment of cancer therapeutic efficacy[J]. Mol Imaging, 2002,1(4):336-343.
16. LEE K C, MOFFAT B A, SCHOTT A F, et al. Prospective early response imaging biomarker for neoadjuvant breast cancer chemotherapy[J]. Clin Cancer Res, 2007, 13(2 Pt 1):443-450.
17. 张静,程流泉,安宁豫,等.磁共振扩散加权成像评估乳腺癌新辅助化疗疗效[J].中国医学影像技术,2011,27(6):1145-1149.

Previous Article
A Feasibility Study of Closing the Small Bowel with High-frequency Welding Device
Next Article
Metrology Research on Biomedical Engineering Publications from China in Recent Years

Journal of Biomedical Engineering

Evaluation of Pathologic Response of Breast Cancer To Neoadjuvant Chemotherapy with Magnetic Resonance Diffusion Weighted Imaging

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content