磁共振体素内不相干运动定量评估乳腺良恶性病变的价值

doi:10.3969/j.issn.2095-9400.2020.03.009

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Abstract Objective: To evaluate the quantitative parameter values of incoherent motion diffusion weighted imaging (IVIM) in magnetic resonance magnetins for the diagnosis of mammary good malignant lesions. Methods: Totally 50 cases who underwent breast MR and confirmed pathologically were collected from January to December, 2017 in the Second Affiliated Hospital of Wenzhou Medical University. Multiple b-value DWI (b=0-2 000 s/mm2) was examined for all patients, and quantitative parameters of IVIM disease levels were measured, including standardized epigenetic diffusion coefficient (ADC standard), true diffusion coefficient (D), false diffusion coefficient (D*) and perfusion score (f). According to their pathological results, the patients were divided into 2 groups, with 21 malignant (malignant group) and 29 benign (benign group). Their IVIM parameters of lesions were statistically analyzed, the differences between the two groups were compared, the ROC curve drawn, and the diagnostic efficiency was analyzed. Results: There was significant difference between the benign group and the malignant group in ADC standard and D value (P<0.05), while there was no statistical difference between the D*-value and the f-value (P>0.05). In the malignant group, the ADC standard and D values were (1.10±0.38)×10-3 mm2/s, (0.88±0.24)× 10-3 mm2/s, significantly lower than the ADC standard and D values in the benign group (1.69±0.26)×10-3 mm2/s, (1.56±0.25)×10-3 mm2/s, ADC standard and D value diagnosed as good malignant lesions ROC area 0.879, 0.966, best threshold for diagnosis is 1.26×10-3 mm2/s, 1.18×10-3 mm2/s. ADC standard’s sensitivity and specificity to good malignant tumors in the breast were 83.33% and 95.45% respectively, and the sensitivity and specificity of D value were 91.67% and 90.91% respectively. Conclusion: The quantitative parameters obtained by the IVlM model are helpful to the differential diagnosis of mammary malignant lesions, of which the D value is the best diagnostic index to distinguish between good malignant mammopathy.

Key words： breast neoplasms diffusion magnetic resonance imaging intravoxel incoherent motion

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	XIE Xiaoxiao
	QIN Le
	YE Xinjian
	ZHAO Xiaojun
	LIU Kun
	YAN Zhihan
	CHENG Jianmin

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https://xb.wmu.edu.cn/EN/10.3969/j.issn.2095-9400.2020.03.009 OR https://xb.wmu.edu.cn/EN/Y2020/V50/I3/212

[1] CHEN W, ZHENG R, BAADE P D, et al. Cancer statistics in China[J]. CA Cancer J Clin, 2016, 66(2): 115-132.
[2] PINKER K, BICKEL H, HELBICH T H, et al. Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the “Breast Imaging Reporting and Data System” for multiparametric 3-T imaging of breast lesions[J]. Eur Radiol, 2013, 23(7): 1791-1802.
[3] PARTRIDGE S C, STONE K M, STRIGEL R M, et al. Breast DCE-MRI: influence of post contrast timing on automated lesion kinetics as sessments and discrimination of benign and malignant lesions[J]. Acad Radiol, 2014, 21(9): 1195-1203.
[4] PICKLES M D, LOWRY M, MANTON D J, et al. Prognostic value of DCE-MRI in breast cancer patients undergoing neoadjuvant chemotherapy: a comparison with traditional survival indicators[J]. Eur Radiol, 2015, 25(4): 1097-1106.
[5] 周纯武, 张仁知. 乳腺影像学的现状与使命[J]. 磁共振成像, 2014, 4(4): 241-245.
[6] BRANDAO A C, LEHMAN C D, PARTRIDGE S C. Breast magnetic resonance imaging: diffusion-weighted imaging[J]. Magn Reson Imaging Clin N Am, 2013, 21(2): 321-336.
[7] LE BIHAN D, BRETON E, LALLEMAND D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders[J]. Radiology, 1986, 161(2): 401-407.
[8] 许建荣. 乳腺MRI技术进展及面临的挑战[J]. 磁共振成像, 2017, 8(3): 161-163.
[9] 车树楠, 崔晓琳, 李静, 等. MR扩散加权成像体素内不相干运动模型对于乳腺良恶性病诊断价值的研究[J]. 磁共振成像, 2015, 6(7): 506-512.
[10] BOKACHEVA L, KAPLAN J B, GIRI D D, et al. Intravoxel incoherent motion diffusion weighted MRI at 3.0T differentiates malignant breast lesions from benign lesions and breast parenchyma[J]. Magn Reson Imaging, 2014, 40(4): 813-823.
[11] 李嫣, 艾涛, 胡益祺, 等. 体素内不相干运动联合扩散峰度成像模型对乳腺良恶性病灶的鉴别诊断价值[J]. 放射学实践, 2016, 31(12): 1191-1195.
[12] LIU C, LIANG C, LIU Z, et a1. Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: comparison with conventional DWI[J]. Eur Radiol, 2013, 82(12): 782-789.
[13] 靳雅楠, 张焱, 程敬亮, 等. 单指数、双指数及拉伸指数模型扩散加权成像参数鉴别乳腺良、恶性病变的价值[J]. 中华放射学杂志, 2016, 50(5): 334-338.
[14] LEMKE A, LAUN F B, SIMON D, et a1. An in vivo verification of the intravoxel incoherent motion effect in diffusion weighted imaging of the abdomen[J]. Magn Reson Med, 2010, 64(6): 1580-1585.
[15] ANDREOU A, KOH D M, COLLINS D J, et al. Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases [J]. Eur Radiol, 2013, 23(2): 428-434.
[16] DYVORNE H A, GALEA N, NEVERS T, et al. Diffusion-weighted imaging of the liver with multiple b values: effect of diffusion gradient polarity and breathing acquisition on image quality and intravoxel incoherent motion parameters-a pilot study[J]. Radiology, 2013, 266(3): 920-929.