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扩散峰度磁共振成像鉴别良恶性乳腺病变:平均过程是否重要?

Differentiating Benign and Malignant Breast Lesions in Diffusion Kurtosis MRI: Does the Averaging Procedure Matter?

机构信息

Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

Siemens Healthineers AG, Erlangen, Germany.

出版信息

J Magn Reson Imaging. 2022 Nov;56(5):1343-1352. doi: 10.1002/jmri.28150. Epub 2022 Mar 15.

Abstract

BACKGROUND

Diffusion kurtosis imaging (DKI) is used to differentiate between benign and malignant breast lesions. DKI fits are performed either on voxel-by-voxel basis or using volume-averaged signal.

PURPOSE

Investigate and compare DKI parameters' diagnostic performance using voxel-by-voxel and volume-averaged signal fit approach.

STUDY TYPE

Retrospective.

STUDY POPULATION

A total of 104 patients, aged 24.1-86.4 years.

FIELD STRENGTH/SEQUENCE: A 3 T Spin-echo planar diffusion-weighted sequence with b-values: 50 s/mm , 750 s/mm , and 1500 s/mm . Dynamic contrast enhanced (DCE) sequence.

ASSESSMENT

Lesions were manually segmented by M.P. under supervision of S.O. (2 and 5 years of experience in breast MRI). DKI fits were performed on voxel-by-voxel basis and with volume-averaged signal. Diagnostic performance of DKI parameters (kurtosis corrected diffusion coefficient) and kurtosis was compared between both approaches.

STATISTICAL TESTS

Receiver operating characteristics analysis and area under the curve (AUC) values were computed. Wilcoxon rank sum and Students t-test tested DKI parameters for significant (P <0.05) difference between benign and malignant lesions. DeLong test was used to test the DKI parameter performance for significant fit approach dependency. Correlation between parameters of the two approaches was determined by Pearson correlation coefficient.

RESULTS

DKI parameters were significantly different between benign and malignant lesions for both fit approaches. Median benign vs. malignant values for voxel-by-voxel and volume-averaged approach were 2.00 vs. 1.28 ( in μm /msec), 2.03 vs. 1.26 ( in μm /msec), 0.54 vs. 0.90 ( ), 0.55 vs. 0.99 ( ). AUC for voxel-by-voxel and volume-averaged fit were 0.9494 and 0.9508 ( ); 0.9175 and 0.9298 ( ). For both, AUC did not differ significantly (P = 0.20). Correlation of values between the two approaches was very high (r = 0.99 for and r = 0.97 for ).

DATA CONCLUSION

Voxel-by-voxel and volume-averaged signal fit approach are equally well suited for differentiating between benign and malignant breast lesions in DKI.

EVIDENCE LEVEL

3 TECHNICAL EFFICACY: Stage 3.

摘要

背景

扩散峰度成像(DKI)用于区分良恶性乳腺病变。DKI 拟合可在体素基础上进行,也可使用体积平均信号进行。

目的

研究并比较基于体素和体积平均信号拟合方法的 DKI 参数的诊断性能。

研究类型

回顾性研究。

研究人群

共 104 例患者,年龄 24.1-86.4 岁。

磁场强度/序列:3T 自旋回波平面扩散加权序列,b 值分别为 50s/mm2、750s/mm2 和 1500s/mm2。动态对比增强(DCE)序列。

评估

由 M.P. 在 S.O.(2 年和 5 年乳腺 MRI 经验)的监督下手动对病变进行分段。在体素基础上和体积平均信号上进行 DKI 拟合。比较两种方法之间 DKI 参数(校正扩散系数的峰度)和峰度的诊断性能。

统计检验

计算受试者工作特征分析和曲线下面积(AUC)值。Wilcoxon 秩和检验和学生 t 检验用于检验良性和恶性病变之间 DKI 参数的显著(P<0.05)差异。使用 DeLong 检验检验 DKI 参数对拟合方法依赖性的显著性能。通过 Pearson 相关系数确定两种方法之间参数的相关性。

结果

两种拟合方法均显示 DKI 参数在良性和恶性病变之间存在显著差异。体素基础和体积平均方法的良性 vs. 恶性中位数值分别为 2.00 vs. 1.28( in μm /msec)、2.03 vs. 1.26( in μm /msec)、0.54 vs. 0.90( )、0.55 vs. 0.99( )。体素基础和体积平均拟合的 AUC 分别为 0.9494 和 0.9508( )、0.9175 和 0.9298( )。对于两者,AUC 没有显著差异(P=0.20)。两种方法之间的数值相关性非常高( 之间的 r 值为 0.99, 之间的 r 值为 0.97)。

数据结论

在 DKI 中,体素基础和体积平均信号拟合方法同样适用于区分良性和恶性乳腺病变。

证据水平

3 级

技术功效

3 级

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