Use of diffusion kurtosis imaging and quantitative dynamic contrast-enhanced MRI for the differentiation of breast tumors

被引:57
作者
Li, Ting [1 ]
Yu, Tao [2 ]
Li, Lyu [3 ]
Lu, Lunbo [1 ]
Zhuo, Yaoyao [1 ]
Lian, Jingge [1 ]
Xiong, Yun [4 ]
Kong, Dexing [5 ]
Li, Kangan [1 ]
机构
[1] Shanghai Gen Hosp, Dept Radiol, 650 New Songjiang Rd, Shanghai 201620, Peoples R China
[2] China Med Univ, Canc Hosp, Dept Med Imaging, Shenyang 110042, Liaoning, Peoples R China
[3] Philips Healthcare, Shanghai, Peoples R China
[4] Fudan Univ, Sch Comp Sci & Technol, Shanghai Key Lab Data Sci, Shanghai 201203, Peoples R China
[5] Zhejiang Univ, Sch Math Sci, Hangzhou 310027, Zhejiang, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
breast; neoplasms; magnetic resonance imaging; diffusion; diagnosis; PARAMETERS; LESIONS; MODEL; CANCERS; CURVES; TRACER;
D O I
10.1002/jmri.26059
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BackgroundPurposeBreast MRI is a sensitive imaging technique to assess breast cancer but its effectiveness still remains to be improved. To evaluate the diagnostic performance of diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), and quantitative dynamic contrast-enhanced (DCE)-MRI in differentiating malignant from benign breast lesions independently or jointly and to explore whether correlations exist among these parameters. Study TypePopulationRetrospective. In all, 106 patients with breast lesions (47 malignant, 59 benign). SequenceAssessmentDKI sequence with seven b values and quantitative DCE sequence on 3.0T MRI. Diffusion parameters (mean diffusivity [MD], mean diffusivity [MK], and apparent diffusion coefficient [ADC]) from DKI and DWI and perfusion parameters from DCE (K-trans, k(ep), v(e), and v(p)) were calculated by two experienced radiologists after postprocessing. Disagreement between the two observers was resolved by consensus. Statistical TestsResultsThe parameters in benign and malignant lesions were compared by Student's t-test. The diagnostic performances of DKI and quantitative DCE, either alone or in combination, were evaluated by receiver operating characteristic (ROC) analysis. The Spearman correlation test was used to evaluate correlations among the diffusion parameters and perfusion parameters. MK, MD, ADC, K-trans, and k(ep) values were significantly different between breast cancer and benign lesions (P < 0.05). MK from DKI demonstrated the highest AUC of 0.849, which is significantly higher than ADC derived from conventional DWI (z = 3.345, P = 0.0008). The specificity of DCE-MRI-derived parameters was improved when combining diffusion parameters, such as ADC and MK. The highest diagnostic specificity (93.2%) was obtained when k(ep) and ADC were combined. k(ep) was correlated moderately positively with MK (r = 0.516) and moderately negatively with MD (r = -0.527). K-trans was weakly positively correlated with MK with an r of 0.398 and weakly negatively correlated with MD with an r of -0.450. Data ConclusionDKI is more valuable than conventional DWI in distinguishing between benign and malignant breast lesions. DKI exhibits promise as a quantitative technique to augment quantitative DCE-MRI. Diffusion parameters derived from DKI were statistically correlated with perfusion parameters from quantitative DCE-MRI. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1358-1366.
引用
收藏
页码:1358 / 1366
页数:9
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