Share：
Share this content in WeChat
X
[Chinese][PDF]103174
• Clinical Article •
The value of histogram analysis of apparent diffusion coefficient in distinguishing the molecular subtypes of mass-like breast cancer
WU Sha-sha  YU Xiao-jun  LI Qin  CHEN Yong-sheng  NIU Qing-liang 

DOI:10.12015/issn.1674-8034.2018.12.005.


[Abstract] Objective: To evaluate the roles of MRI diffusion-weighted imaging (DWI) and histogram of apparent diffusion coefficient (ADC) in distinguishing different molecular subtypes of masslike breast cancer.Materials and Methods: 59 patients with mass-like breast cancer confirmed by pathology were analyzed retrospectively. Among the different molecular subtypes, there were 31 cases for Luminal type, 15 cases for Triple-negative and 13 cases for HER-2 enriched. All the subjects were performed preoperatively with MRI examination (plain scan, DCE-MRI and DWI). The ADC histogram parameters were measured and recorded, including skewness, kurtosis, standard deviation, ADCmean, ADCmin, ADCmax, ADC5%, ADC10%, ADC25%, ADC50%, ADC75%, ADC90% and ADC95%. The ADC histogram parameters of different molecular subtypes breast cancer were compared by one-way ANOVA or Kruskal-Wallis H test and Mann-Whitney U test. ROC curves were used to analyze the diagnostic efficacy of each parameter.Results: The skewness coefficients of Luminal type, Triple-negative and HER-2 enriched breast cancers were 0.625±0.703, 0.516±0.595 and 0.024±0.650 respectively, there were significant difference between HER-2 enriched and Luminal type statisticaly (P=0.008). The ADC95% of Luminal type, Triple-negative and HER-2 enriched breast cancer were 1.058±0.396, 1.106±0.316 and 1.386±0.307 respectively. The ADC95% of HER-2 enriched breast cancer was significantly different from Luminal type (P=0.008) and Triple-negative (P=0.044). The AUC was 0.739 when using skewness to differentiate HER-2 enriched breast cancer from Luminal type. The AUC was 0.720 and 0.744 respectively when using ADC95% to differentiate HER-2 enriched breast cancer from Luminal type and Triple-negative.Conclusions: The ADC histogram parameters were helpful in distinguishing different molecular subtypes of mass-like breast cancer, and have a certain value in reflecting the tumor heterogeneity of different molecular subtypes of mass-like breast cancer.
[Keywords] Breast neoplasms；Magnetic resonance imaging；Diffusion weighted imaging；Apparent diffusion coefficient；Histogram；Molecular subtype

WU Sha-sha Department of Medical Imaging, Weifang Medical University, Weifang 261053, China

YU Xiao-jun Department of Medical Imaging, Weifang Medical University, Weifang 261053, China

LI Qin Medical Imaging Center, Weifang TCM Hospital, Weifang 261041, China

CHEN Yong-sheng Department of Medical Imaging, Weifang Medical University, Weifang 261053, China

NIU Qing-liang* Medical Imaging Center, Weifang TCM Hospital, Weifang 261041, China

*Correspondence to: Niu QL, E-mail: qingliangniu@126.com

Conflicts of interest   None.

Received  2018-04-14
DOI: 10.12015/issn.1674-8034.2018.12.005
DOI:10.12015/issn.1674-8034.2018.12.005.

[1]
曾倩，崔芳芳，宇传华，等．中国癌症发病、死亡现状与趋势分析.中国卫生统计, 2016, 33(2): 321-323.
[2]
Goldhirsch A, Winer EP, Coates AS, et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol, 2013, 24(9): 2206-2223.
[3]
Navarro Vilar L, Alandete Germán SP, Medina García R, et al. MR imaging findings in molecular subtypes of breast cancer according to BIRADS system. Breast J, 2017, 23(4): 421-428.
[4]
罗禹，王培军，周永明，等．磁共振动态增强灌注成像参数图在乳腺良恶性病变诊断中的价值．医学影像学杂志, 2016, 26(4): 649-654.
[5]
Cipolla V, Guerrieri D, Bonito G, et al. Effects of contrast-enhancement on diffusion weighted imaging and apparent diffusion coefficient measurements in 3-T magnetic resonance imaging of breast lesions. Acta Radiol, 2018, 59(8): 902-908.
[6]
Alcalá-Corona SA, de Anda-Jáuregui G, Espinal-Enríquez J. Network modularity in breast cancer molecular subtypes. Front Physiol, 2017, 8: 915.
[7]
Carey LA, Dees EC, Sawyer L, et al. The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clin Cancer Res, 2007, 13(8): 2329-2334.
[8]
高国璇，张岩，张虹，等．乳腺癌新辅助治疗病理完全缓解影响因素及预后分析．中国实用外科杂志, 2016, 36(11): 1205-1210.
[9]
董鑫哲，邢立刚，于金明．肿瘤异质性的医学影像学分析及临床应用．中华肿瘤杂志, 2013, 35(2): 81-84.
[10]
Liu S, Ren R, Chen Z, et al. Diffusion-weighted imaging in assessing pathological response of tumor in breast cancer subtype to neoadjuvant chemotherapy. J Magn Reson Imaging, 2015, 42(3): 779-787.
[11]
Kato F, Kudo K, Yamashita H, et al. Differences in morphological features and minimum apparent diffusion coefficient values among breast cancer subtypes using 3-tesla MRI. Eur J Radiol, 2016, 85(1): 96-102.
[12]
Lee HS, Kim SH, Kang BJ, et al. Perfusion parameters in dynamic contrast-enhanced MRI and apparent diffusion coefficient value in diffusion-weighted MRI: Association with prognostic factors in breast cancer. Acad Radiol, 2016, 23(4): 446-456.
[13]
Meng J, Zhu L, Zhu L, et al. Apparent diffusion coeffcient histogram shape analysis for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy. Radiat Oncol, 2016, 11(1): 141.
[14]
Umanodan T, Fukukura Y, Kumagae Y, et al. ADC histogram analysis for adrenal tumor histogram analysis of apparent diffusion coeffcient in differentiating adrenal adenoma from pheochromacytoma. J Magn Reson Imaging, 2017, 45(4): 1195-1203.
[15]
Zhang Y, Chen J, Liu S, et al. Assessment of histological differentiation in gastric cancers using wholevolume histogram analysis of apparent diffusion coefficient maps. J Magn Reson Imaging, 2017, 45(2): 440-449.
[16]
Song YS, Park CM, Lee SM, et al. Reproducibility of histogram and texture parameters derived from intravoxel incoherent motion diffusion-weighted MRI of FN13762 rat breast carcinomas. Anticancer Res, 2014, 34(5): 2135-2144.
[17]
Jeh SK, Kim SH, Kim HS, et al. Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma. J Magn Reson Imaging, 2011, 33(1): 102-109.
[18]
徐茂林，苏丹柯，谢东，等．非肿块型强化的乳腺癌磁共振成像表观扩散系数值与HER-2表达的相关性分析．磁共振成像, 2015, 6(7): 513-517.

PREV Evaluation of myocardial microcirculation in diabetes patients by using intravoxel incoherent motion imaging: A pilot study
NEXT Applying magnetic resonance rapid liver fat quantification to monitor liver fat changes in patients with obese type 2 diabetes mellitus
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn