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Correlation between DCE-MRI parameters/ADC and pathological molecular prognostic markers of breast cancer
WANG Jie  TANG Wenwei  TIAN Zhongfu  ZHENG Jinxia  WANG Feng 

Cite this article as: Wang J, Tang WW, Tian ZF, et al. Correlation between DCE-MRI parameters/ADC and pathological molecular prognostic markers of breast cancer[J]. Chin J Magn Reson Imaging, 2021, 12(3): 76-79. DOI:10.12015/issn.1674-8034.2021.03.017.


[Abstract] Objective To analyze the correlation between dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters/apparent diffusion coefficient (ADC) and pathological molecular prognostic markers of breast cancer. Materials andMethods The clinical data of 106 patients with breast cancer in our hospital were retrospectively analyzed. The differences in DCE-MRI parameters and ADC were compared between patients with the positive expressions and negative expressions of estrogen receptor (ER), progesterone receptor (PR), cell proliferation antigen Ki67 and androgen receptor (AR). The correlation between DCE-MRI parameters, ADC and expressions of ER, PR , Ki67 and AR was analyzed.Results After Spearman rank correlation test, it was found that the positive expressions of ER, PR and AR were significantly negatively correlated with diameter and marginal burr (P<0.05), and the positive expression of AR was also significantly positively correlated with time to peak (TTP) and ADC (P<0.05). The positive expression of Ki67 was significantly positively correlated with diameter and marginal burr (P<0.05), and was significantly negatively correlated with TTP and ADC (P<0.05).Conclusions DCE-MRI morphological parameters and TTP and ADC have a certain correlation with molecular biological markers of breast cancer, and they are beneficial to the prognosis of breast cancer.
[Keywords] breast cancer;dynamic contrast-enhanced magnetic resonance imaging;apparent diffusion coefficient;molecular biological markers;Ki67

WANG Jie1   TANG Wenwei1   TIAN Zhongfu1   ZHENG Jinxia1   WANG Feng2*  

1 Department of Radiology, Women's Hospital of Nanjing Medical University, Nanjing 210000, China

2 Department of Nuclear Medicine, Nanjing Affiliated Hospital of Nanjing Medical University (Nanjing First Hospital), Nanjing 210000, China

Wang F, E-mail: fengwangcn@hotmail.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Maternal and Child Health Research Project of Jiangsu Province No. F201829
Received  2020-10-27
Accepted  2021-01-21
DOI: 10.12015/issn.1674-8034.2021.03.017
Cite this article as: Wang J, Tang WW, Tian ZF, et al. Correlation between DCE-MRI parameters/ADC and pathological molecular prognostic markers of breast cancer[J]. Chin J Magn Reson Imaging, 2021, 12(3): 76-79. DOI:10.12015/issn.1674-8034.2021.03.017.

1
Zhang GM. Study on value of color Doppler ultrasound combined with elastography in differentiating benign and malignant breast nodules. Chin Remedies Clin, 2018, 18(1): 41-43. DOI: 10.11655/zgywylc2018.01.015.
2
Lu J, Zhou K, Yin XX, et al. Clinical effect of segmental mastectomy on early breast cancer in the elderly. Geriatrics Health Care, 2018, 24(3): 286-288. DOI: 10.3969/j.issn.1008-8296.2018.03.019
3
Lu SY, Yang M, Hao L, et al. The expression and prognostic significance of androgen receptor in early breast cancer. J Clin Surg, 2018, 26(4): 28-32. DOI: 10.3969/j.issn.1005-6483.2018.04.009
4
Wu F, Li YG, Hu YQ, et al. Correlation of pharmacokinetic parameters with prognostic factors of breast cancers: a retrospective study in dynamic contrast-enhanced MRI with CAIPIRINHA-Dixon-TWIST-VIBE technique. Radiol Pract, 2019, 34(1): 36-40. DOI: 10.13609/j.cnki.1000-0313.2019.01.006
5
Deyarmin B, Kane JL, Valente AL, et al. Effect of ASCO/CAP guidelines for determining ER status on molecular subtype. Ann Surg Oncol, 2013, 20(1): 87-93. DOI: 10.1245/s10434-012-2588-8
6
Wang GH, Tang YN, Chen N, et al. Effects of neoadjuvant chemotherapy on the expression of ER, PR, HER-2 and Ki67 in breast cancer patients. J Xi'an Jiaotong University (Med Sci), 2018, 39(4): 542-545, 588. DOI: 10.7652/jdyxb201804019
7
Hou HQ, Wang XZ, Xia YN, et al. Expression and significance of androgen receptor in hormone receptor-positive breast cancer. Chin J Gerontol, 2018, 38(14): 3543-3547. DOI: 10.3969/j.issn.1005-9202.2018.14.083
8
Xue LY, Zhao X, Cairang ZM, et al. Relationship between expressions of ER, PR, C-erbB-2 and Ki-67 and ultrasound signs in patients with breast cancer. Chin J Gerontol, 2018, 38(7): 1603-1605. DOI: 10.3969/j.issn.1005-9202.2018.07.030
9
Li XH, Zhao YH, Wang B. Relationship between apparent diffusion coefficient and malignancy of invasive ductal carcinoma. Int J Med Radiol, 2020, 43(2): 146-149. DOI: 10.19300/j.2020.L17083
10
Luo ZR, Zeng ZH, Yang M, et al. Expression of Ki67 in breast cancer tissues and its correlation with clinical features. Chin J Clin Pharmacol, 2018, 34(18): 2140-2142. DOI: 10.13699/j.cnki.1001-6821.2018.18.004
11
Robertson S, Stålhammar G, Darai-Ramqvist E, et al. Prognostic value of Ki67 analysed by cytology or histology in primary breast cancer. J Clin Pathol, 2018, 71(9): 787-794. DOI: 10.1136/jclinpath-2017-204976
12
Wang YH, Liu CX, Hou CM. Relationship between ultrasonic features and expression of P120ctn and Ki67 proteins in breast cancer. J Ultrasound Clin Med, 2018, 20(8): 558-560. DOI: 10.3969/j.issn.1008-6978.2018.08.018
13
Thakur SS, Li H, Chan AMY, et al. The use of automated Ki67 analysis to predict oncotype DX risk-of-recurrence categories in early-stage breast cancer. PLoS One, 2018, 13(1): e0188983. DOI: 10.1371/journal.pone.0188983
14
Song C, Cheng P, Cheng J, et al. Differential diagnosis of nasopharyngeal carcinoma and nasopharyngeal lymphoma based on DCE-MRI and RESOLVE-DWI. Eur Radiol, 2020, 30(1): 110-118. DOI: 10.1007/s00330-019-06343-0
15
Wang WW, Li Y, Zhang YZ, et al. Clinical value of DCE-MRI in the evaluation of breast cancer before and after NAC. Oncology Progress, 2018, 16(5): 128-131. DOI: 10.11877/j.issn.1672-1535.2018.16.05.35
16
Li HB. Diagnostic value of ADC combined with DCE-MRI on breast cancer. Chin J Cancer Prevent Treat, 2019, 26(S1): 51-51. DOI: CNKI:SUN:QLZL.0.2019-S1-029
17
Wang LH, Yan TB. Application value of DWI combined with DCE-MRI in the diagnosis and efficacy evaluation of breast cancer. Jiangsu J Med, 2020, 46(05):513-516. DOI: 10.19460/j.cnki.0253-3685.2020.05.022
18
Qu FJ, Shi SZ, Tong Q. Progress on androgen receptor in triple-negative breast cancer. J Chin Oncol, 2018, 24(3): 181-187. DOI: 10.11735/j.issn.1671-170X.2018.03.B001
19
Hussain M, Daignault-Newton S, Twardowski PW, et al. Targeting androgen receptor and DNA repair in metastatic castration-resistant prostate cancer: results from NCI 9012. J Clin Oncol, 2018, 36(10): 991-999. DOI: 10.1200/JCO.2017.75.7310
20
Astvatsaturyan K, Yue Y, Walts AE, et al. Androgen receptor positive triple negative breast cancer: clinicopathologic, prognostic, and predictive features. PLoS One, 2018, 13(6): e0197827. DOI: 10.1371/journal.pone.0197827
21
Tao W, Hu C, Bai G, et al. Correlation between the dynamic contrast-enhanced MRI features and prognostic factors in breast cancer: a retrospective case-control study. Medicine, 2018, 97(28): 1-8. DOI: 10.1097/MD.0000000000011530
22
Chen J. Relationship between various parameters of DCE-MRI and expressions of hMAM and Ki67 in patients with breast cancer and clinical diagnostic value. Modern Med J, 2018, 46(10): 1181-1184. DOI: 10.3969/j.issn.1671-7562.2018.10.024

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