首页> 外文期刊>European radiology >Differentiating between malignant and benign solid solitary pulmonary lesions: are intravoxel incoherent motion and diffusion kurtosis imaging superior to conventional diffusion-weighted imaging?
【24h】

Differentiating between malignant and benign solid solitary pulmonary lesions: are intravoxel incoherent motion and diffusion kurtosis imaging superior to conventional diffusion-weighted imaging?

机译:差异化恶性和良性固体孤立性肺病变:是眶上相连的运动和扩散峰峰成像优于常规扩散加权成像吗?

获取原文
获取原文并翻译 | 示例
           

摘要

ObjectiveTo quantitatively compare the diagnostic values of various diffusion parameters obtained from mono- and biexponential diffusion-weighted imaging (DWI) models and diffusion kurtosis imaging (DKI) in differentiating between benign and malignant solitary pulmonary lesions (SPLs).MethodsMultiple b-value DWIs and DKIs were performed in 89 patients with SPL by using a 3-T magnetic resonance (MR) imaging unit. The apparent diffusion coefficient (ADC) of various b-value sets, true diffusivity (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), apparent diffusional kurtosis (K-app), and kurtosis-corrected diffusion coefficient (D-app) were calculated and compared between the malignant and benign groups using a Mann-Whitney U test. Receiver-operating characteristic analysis was performed for all parameters.ResultThe ADC((0, 150)) values of malignant tumors were lower than those of the benign group (p = 0.01). The ADC((0, 300)), ADC((0, 500)), ADC((0, 600),) ADC((0, 800)), ADC((0, 1000),) ADC(total), D, and D-app of malignant tumors were significantly lower than those of benign lesions (all p 0.001). D*, f, and K-app showed no statistically significant differences between the two groups. ADC(total) showed the highest area under the curve (AUC = 0.862), followed by ADC((0, 800))(AUC = 0.844), ADC((0, 600))(AUC = 0.843), D(AUC = 0.834), ADC((0, 1000))(AUC = 0.834) and ADC((0, 500))(AUC = 0.824), D-app(AUC = 0.796), and ADC((0, 300)) (AUC = 0.773). However, the difference in diagnostic efficacy among these parameters was not statistically significant (p 0.05).ConclusionIntravoxel incoherent motion (IVIM) and DKI-derived parameters have similar performance compared with conventional ADC in differentiating SPLs.Key Points center dot Mono- and biexponential DWI and DKI are feasible for differentiating SPLs.center dot ADC((0, 500))has better performance than ADC((0, 500))in assessing SPLs.center dot IVIM and DKI have similar performance compared with conventional DWI in differentiating SPLs.
机译:ObjectiveTo定量地比较从单声伸和Biexponential扩散加权成像(DWI)模型(DWI)模型(DWI)模型(DKI)获得的各种扩散参数的诊断值,以区分良性和恶性孤立性肺部病变(SPLS)。细则多用途B值DWIS和通过使用3-T磁共振(MR)成像单元,在89名患者中进行DKI。各种B值集的表观扩散系数(ADC),真正扩散率(D),伪扩散系数(D *),灌注分数(F),表观扩散峰(K-APP)和Kurtoss校正扩散系数(D-APP)计算并使用Mann-Whitney U测试比较恶性和良性组之间。对所有参数进行接收器操作特征分析。结果DACC((0,150))恶性肿瘤的值低于良性组(P = 0.01)。 ADC((0,300)),ADC((0,500)),ADC((0,600),)ADC((0,800)),ADC((0,1000),)ADC(总计) ,恶性肿瘤的D和D-APP显着低于良性病变(所有P <0.001)。 D *,F和K-App显示两组之间没有统计上显着的差异。 ADC(总计)显示曲线下的最高面积(AUC = 0.862),其次是ADC((0,800))(AUC = 0.844),ADC((0,600))(AUC = 0.843),D(AUC = 0.834),ADC((0,1000))(AUC = 0.834)和ADC((0,500))(AUC = 0.824),D-APP(AUC = 0.796)和ADC((0,300)) (AUC = 0.773)。然而,这些参数之间的诊断效果差异在统计学上没有统计学意义(P> 0.05)。与常规ADC相比,与常规ADC相比,ConclusionDravoxel非连贯运动(IVIM)和DKI衍生的参数在差分SPLS中的差异相似.Key点中心点单通和Biexponential DWI和DKI可用于区分SPLS.Center点ADC((0,500))的性能比ADC((0,<500))评估SPLS.Center Dot IVIM和DKI与传统DWI相比具有类似的性能。在差异化的剪切。

著录项

  • 来源
    《European radiology》 |2019年第3期|共9页
  • 作者单位

    Guangzhou Med Univ Affiliated Hosp 1 Dept Radiol Yanjiangxilu 151 Guangzhou Guangdong Peoples;

    Guangzhou Med Univ Affiliated Hosp 1 Dept Radiol Yanjiangxilu 151 Guangzhou Guangdong Peoples;

    Guangzhou Med Univ Affiliated Hosp 1 Dept Radiol Yanjiangxilu 151 Guangzhou Guangdong Peoples;

    Guangzhou Med Univ Affiliated Hosp 1 Dept Radiol Yanjiangxilu 151 Guangzhou Guangdong Peoples;

    Guangzhou Med Univ Affiliated Hosp 1 Dept Radiol Yanjiangxilu 151 Guangzhou Guangdong Peoples;

    Guangzhou Med Univ Affiliated Hosp 1 Dept Radiol Yanjiangxilu 151 Guangzhou Guangdong Peoples;

    Guangzhou Med Univ Affiliated Hosp 1 Dept Radiol Yanjiangxilu 151 Guangzhou Guangdong Peoples;

    Guangzhou Med Univ Affiliated Hosp 1 Dept Radiol Yanjiangxilu 151 Guangzhou Guangdong Peoples;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 放射医学;
  • 关键词

    Lung neoplasms; Solitary pulmonary nodule; Diffusion magnetic resonance imaging; Area under curve; Sensitivity and specificity;

    机译:肺肿瘤;孤零肺结核;扩散磁共振成像;曲线下的区域;敏感性和特异性;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号