Share:
Share this content in WeChat
X
Clinical Article
Correlation between IVIM-DWI quantitative parameter histogram and Ki-67 proliferation index of breast cancer
LIU Yulin  ZHANG Rong  YUE Li’na  LU Dongmei  LIU Ying  YANG Xiaoping 

Cite this article as: Liu YL, Zhang R, Yue LN, et al. Correlation between IVIM-DWI quantitative parameter histogram and Ki-67 proliferation index of breast cancer. Chin J Magn Reson Imaging, 2020, 11(2): 118-123. DOI:10.12015/issn.1674-8034.2020.02.009.


[Abstract] Objective: To explore the correlation between histogram quantitative parameters of diffusion-weighted imaging (DWI) single index and intravoxel incoherent motion (IVIM) dual index model and Ki-67 proliferation index of breast cancer.Materials and Methods: A retrospective analysis of 56 patients with pathologically confirmed breast cancer, a total of 57 lesions. All the subjects were performed preoperatively with MRI examination (plain scan, multi-b value DWI and dynamic contrast-enhanced), IVIM histogram parameters (ADC, D, D*, and f) were obtained by post-processing software, including minimum, maximum, mean, 10th, 25th, 50th (median), 75th, 90th, skewness and kurtosis. IVIM histogram parameters (ADC, D, D*, and f) of patients with different Ki-67 expression were compared to explore the relationships between MRI and immunohistochemical findings of patients with breast cancer; Correlation between histogram parameters and breast cancer Ki-67 proliferation index by Spearman correlation coefficient.Results: The ADC value (skewness and kurtosis), D value (skewness and kurtosis), D* value (mean, maximum, skewness and kurtosis) in the Ki-67 high-expression group were significantly higher than those in the Ki-67 low-expression group, D* value (minimum) in the Ki-67 high-expression group was lower than that of Ki-67 low-expression group (P<0.05), while no significant differences were showed in all histogram parameters of f-value between the two groups (P>0.05). ADC value (skewness and kurtosis), D value(skewness and kurtosis), D* value (mean, maximum, skewness and kurtosis) were positively correlated with Ki-67 proliferation index (r=0.296—0.509, P<0.05), D* value (minimum) was negatively correlated with Ki-67 proliferation index (r=-0.262, P<0.05).Conclusions: IVIM-DWI histogram quantitative parameters were correlated with Ki-67 proliferation index of breast cancer, and the maximum value of D* has the highest correlation. This may indicate the potential to provide a surrogate measure of Ki-67 expression through non-invasive imaging methods.
[Keywords] breast neoplasms;magnetic resonance imaging;Ki-67;diffusion-weighted imaging;intravoxel incoherent motion

LIU Yulin The Second Clinical Medical College of Lanzhou University, Lanzhou 730030, China; Department of Imaging Diagnosis, the 940th Hospital of Joint Logistics Support force of Chinese People’s Liberation Army, Lanzhou 730050, China

ZHANG Rong The Second Clinical Medical College of Lanzhou University, Lanzhou 730030, China; Department of Imaging Diagnosis, the 940th Hospital of Joint Logistics Support force of Chinese People’s Liberation Army, Lanzhou 730050, China

YUE Li’na Department of Imaging Diagnosis, the 940th Hospital of Joint Logistics Support force of Chinese People’s Liberation Army, Lanzhou 730050, China

LU Dongmei Department of Imaging Diagnosis, the 940th Hospital of Joint Logistics Support force of Chinese People’s Liberation Army, Lanzhou 730050, China

LIU Ying Department of Breast Surgery, the 940th Hospital of Joint Logistics Support force of Chinese People's Liberation Army, Lanzhou 730050, China

YANG Xiaoping* Department of Imaging Diagnosis, the 940th Hospital of Joint Logistics Support force of Chinese People’s Liberation Army, Lanzhou 730050, China

*Correspondence to: Yang XP, E-mail: lwyxp_zxl@sohu.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of Natural Science Foundation of Gansu Province No. 1606RJZA160
Received  2019-11-15
Accepted  2019-12-31
DOI: 10.12015/issn.1674-8034.2020.02.009
Cite this article as: Liu YL, Zhang R, Yue LN, et al. Correlation between IVIM-DWI quantitative parameter histogram and Ki-67 proliferation index of breast cancer. Chin J Magn Reson Imaging, 2020, 11(2): 118-123. DOI:10.12015/issn.1674-8034.2020.02.009.

[1]
Bhatavdekar JM, Patel DD, Shah NG, et al. Prognostic significance of immunohistochemically localized biomarkers in stage II and stage III breast cancer: a multivariate analysis. Ann Surg Oncol, 2000, 7(4): 305-311.
[2]
Li L, Han D, Wang X, et al. Prognostic values of Ki-67 in neoadjuvant setting for breast cancer: a systematic review and meta-analysis. Future Oncol, 2017, 13(11): 1021-1034.
[3]
Yerushalmi R, Woods R, Ravdin PM, et al. Ki-67 in breast cancer: prognostic and predictive potential. Lancet Oncol, 2010, 11(2): 174-183.
[4]
Kontzoglou K, Palla V, Karaolanis G, et al. Correlation between Ki-67 and breast cancer prognosis. Oncology, 2013, 84(4): 219-225.
[5]
Mori N, Ota H, Mugikura S, et al. Luminal-type breast cancer: correlation of apparent diffusion coefficients with the Ki-67 labeling index. Radiology, 2015, 274 (1): 66-73.
[6]
Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology, 1986, 161(2): 401-407.
[7]
Kim Y, Ko K, Kim D, et al. Intravoxel incoherent motion diffusion-weighted MR imaging of breast cancer: association with histopathological features and subtypes. Br J Radiol, 2016, 89(1063): 20160140.
[8]
宋萌萌,张天月,王丽君,等. IVIM多参数预测乳腺癌免疫组化指标表达的可行性研究.磁共振成像, 2017, 8(3): 170-175.
[9]
Zhang YD, Wang Q, Wu CJ, et al. The histogram analysis of diffusion-weighted intravoxel incoherent motion (IVIM) imaging for differentiating the gleason grade of prostate cancer. Eur Radiol, 2015, 25(4): 994-1004.
[10]
Nougaret S, Vargas HA, Lakhman Y, et al. Intravoxel incoherent motion-derived histogram metrics for assessment of response after combined chemotherapy and radiation therapy in rectal cancer: Initial experience and comparison between single-section and volumetric analyses. Radiology, 2016, 280(2): 446-454.
[11]
Rosenkrantz AB, Obele C, Rusinek H, et al. Whole-lesion diffusion metrics for assessment of bladder cancer aggressiveness. Abdom Imaging, 2015, 40(2): 327-332.
[12]
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.
[13]
Sun M, Cheng J, Zhang Y, et al. Application of DWIBS in malignant lymphoma: correlation between ADC values and Ki-67 index. Eur Radiol, 2018, 28(4): 1701-1708.
[14]
You C, Li J, Zhi W, et al. The volumetric-tumour histogram-based analysis of intravoxel incoherent motion and non-Gaussian diffusion MRI: association with prognostic factors in HER2-positive breast cancer. J Transl Med, 2019, 17(1): 182.
[15]
刘鸿利,位寒,娄鉴娟,等. 3.0 T MRI扩散加权成像表观扩散系数直方图与乳腺浸润性导管癌预后因素的相关性研究.临床放射学杂志, 2018, 37(4): 600-606.
[16]
Lee YJ, Kim SH, Kang BJ, et al. Intravoxel incoherent motion (IVIM)-derived parameters in diffusion-weighted MRI: Associations with prognostic factors in invasive ductal carcinoma. J Magn Reson Imaging, 2017, 45(5): 1394-1406.
[17]
Koh DM, Collins DJ, Orton MR. Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. AJR Am J Roentgenol, 2011, 196(6): 1351-1361.
[18]
Kang Y, Choi SH, Kim YJ, et al. Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard-or high-b-value diffusion-weighted MR imaging correlation with tumor grade. Radiology, 2011, 261(3): 882-890.
[19]
Kim SH, Cha ES, Kim HS, et al. Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors. J Magn Reson Imaging, 2009, 30(3): 615-620.
[20]
Park YS, Lee CH, Kim JH, et al. Using intravoxel incoherent motion (IVIM) MR imaging to predict lipiodol uptake in patients with hepatocellular carcinoma following transcatheter arterial chemoembolization: a preliminary result. Magn Reson Imaging, 2014, 32(6): 638-646.
[21]
Pang Y, Turkbey B, Bernardo M, et al. Intravoxel incoherent motion MR imaging for prostate cancer: an evaluation of perfusion fraction and diffusion coefficient derived from different b-value combinations. Magn Reson Med, 2013, 69(2): 553-562.

PREV Analysis of cerebral small vessel disease and clinical factors in young patients with symptomatic cerebral infarction
NEXT Differential diagnosis of breast medullary carcinoma and fibroadenoma by MRI
  



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