Application value of 3.0T magnetic resonance diffusion weighted imaging in the diagnosis and pathological classification of breast cancer

doi:10.3877/cma.j.issn.2095-2015.2020.05.003

Abstract

Abstract:

Objective

To explore the application value of 3.0T magnetic resonance (MR) diffusion weighted imaging (DWI) in the diagnosis of breast cancer, and to analyze the significance of apparent dispersion coefficient (ADC) in the pathological classification of breast cancer.

Methods

A total of 72 patients with breast cancer pathologically confirmed by surgery or puncture biopsy were analyzed retrospectively in Hongqi Hospital of Mudanjiang Medical College from September 2017 to September 2018. The accuracy of MR plain scan, DWI and the combination of the two for the diagnosis of breast cancer was compared. When the b value was selected as 1000 s/mm², the difference in ADC value of different pathological types of breast cancer was compared.

Results

In this group of 72 breast cancer patients, 19 cases were pathologically confirmed as non-invasive carcinoma (17 cases of inductal carcinoma in situ, 2 cases of lobular carcinoma in situ), 53 cases of invasive carcinoma (42 cases of invasive ductal carcinoma and 11 cases of invasive lobular carcinoma). The diagnostic accuracy of 72 breast cancer patients with MR plain scan, DWI and the combination of the two was 88.9%(64/72), 65.3%(47/72) and 95.8%(69/72), respectively. When the b value was 1000 s/mm², the difference of ADC value between invasive breast cancer and non-invasive cancer was statistically significant (P<0.05).

Conclusions

DWI has certain clinical value in the diagnosis of breast cancer. The combination of MR plain scan and DWI has a high accuracy in the diagnosis of breast cancer. ADC values are valuable for the differentiation of invasive and non-invasive breast cancer.

Key words: Magnetic resonance image, Diffusion weighted imaging, Apparent diffusion coefficient, Breast cancer, Pathological classification

Haiyu Liang, Hongyi Li, Dan Gao, Yang Tang, Jian Xing. Application value of 3.0T magnetic resonance diffusion weighted imaging in the diagnosis and pathological classification of breast cancer[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2020, 10(05): 201-205.

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URL: https://zhxhbyyxzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2095-2015.2020.05.003

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References 16

1	侯桑怡，朱怀仕，樊云飞.动态增强扫描MR及弥散加权MRI在监测乳腺癌保乳术后肿瘤复发中的价值[J].影像研究与医学应用, 2018, 2(16): 71-72.
2	冯莉莉，周红悦，麻增林.动态增强扫描MR及弥散加权MRI在监测乳腺癌保乳术后肿瘤复发中的价值[J].广东医学, 2017, 38(10): 1561-1564.
3	邓子晴，刘超，鲁际. MR影像组学在乳腺癌术前评估中的应用进展[J].影像诊断与介入放射学, 2019, 28(3): 225-229.
4	Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality world-wide for 36 cancers in 185 countries [J]. CA Cancer J Clin, 2018, 68(6): 394-424.
5	刘超，鲁际.高场强MR诊断乳腺癌的技术应用进展[J].放射学实践, 2019, 34(5): 583-586.
6	Morrow M, Hawley ST, McLeod MC, et al. Surgeon attitudes and use of MRI in patients newly diagnosed with breast cancer [J]. Ann Surg Oncol, 2017, 24(7): 1889-1896.
7	Park SH, Choi HY, Hahn SY. Correlation between apparent diffusion coefficient values of invasive ductal carcinoma and pathologic factors on diffusion-weighted MRI at 3.0 Tesla [J]. J Magn Reson Imaging, 2015, 41(1): 175-182.
8	史天亮，吴敏. MR动态增强曲线联合DWI诊断乳腺癌的价值分析[J].临床合理用药, 2018, 11(4A): 144-145.
9	Takei J, Tsunoda H, Yagata H, et al. Sustained interruption of anterior interfaces between adipose tissues and mammary glands in ultrasonography after complete pathological remission after neoadjuvant chemotherapy for primary breast cancer [J]. Clin Breast Cancer, 2016, 16(3): 196-201.
10	Klauschen F, Wienert S, Schmitt WD, et al. Standardized Ki67 diagnostics using automated scoring--clinical validation in the GeparTrio Breast Cancer Study [J]. Clin Cancer Res, 2015, 21(16): 3651-3657.
11	Hu B, Xu K, Zhang Z, et al. A radiomic nomogram based on an apparent diffusion coefficient map for differential diagnosis of suspicious breast findings [J]. Chin J Cancer Res, 2018, 30(4): 432-438.
12	Bickelhaupt S, Paech D, Kickingereder P, et al. Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography [J]. J Magn Reson Imaging, 2017, 46(2): 604-616.
13	Osako T, Nishimura R, Okumura Y, et al. Predictive significance of the proportion of ER-positive or PgR-positive tumor cells in neoadjuvant chemotherapy for operable HER2-negative breast cancer [J]. Exp Ther Med, 2010, 70(24): 66-71.
14	Nelson DA, Tan TT, Rabson AB, et al. Hypoxia and defective apoptosis drive genomic instability and tumorigenesis [J]. Genes Dev, 2004, 18(17): 2095-2107.
15	薛珂，丁莹莹，孙诗昀,等.利用MR动态增强纹理分析评估不同分子亚型乳腺癌异质性[J].医学影像学杂志, 2020, 30(2): 221-226.
16	Laura M, Veronica D, Ilaria B, et al. Correlations between diffusion-weighted imaging and breast cancer biomarkers [J]. Eur Soc Radiol, 2012, 22(6): 1519-1528.

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