Sun Haitao, Liu Kai, Liu Hao, Ji Zongfei, Yan Yan, Jiang Lindi, Zhou Jianjun
1 Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Medical Imaging Institute, Department of Medical Imaging, Shanghai Medical School of Fudan University, Shanghai, PR China.
2 Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, PR China.
Acta Radiol. 2018 Apr;59(4):468-477. doi: 10.1177/0284185117722811. Epub 2017 Jul 25.
Background There has been a growing need for a sensitive and effective imaging method for the differentiation of the activity of ankylosing spondylitis (AS). Purpose To compare the performances of intravoxel incoherent motion (IVIM)-derived parameters and the apparent diffusion coefficient (ADC) for distinguishing AS-activity. Material and Methods One hundred patients with AS were divided into active (n = 51) and non-active groups (n = 49) and 21 healthy volunteers were included as control. The ADC, diffusion coefficient ( D), pseudodiffusion coefficient ( D*), and perfusion fraction ( f) were calculated for all groups. Kruskal-Wallis tests and receiver operator characteristic (ROC) curve analysis were performed for all parameters. Results There was good reproducibility of ADC /D and relatively poor reproducibility of D*/f. ADC, D, and f were significantly higher in the active group than in the non-active and control groups (all P < 0.0001, respectively). D* was slightly but significant lower in the active group than in the non-active and control group ( P = 0.0064, 0.0215). There was no significant difference in any parameter between the non-active group and the control group (all P > 0.050). In the ROC analysis, ADC had the largest AUC for distinguishing between the active group and the non-active group (0.988) and between the active and control groups (0.990). Multivariate logistic regression analysis models showed no diagnostic improvement. Conclusion ADC provided better diagnostic performance than IVIM-derived parameters in differentiating AS activity. Therefore, a straightforward and effective mono-exponential model of diffusion-weighted imaging may be sufficient for differentiating AS activity in the clinic.
对于用于区分强直性脊柱炎(AS)活动度的灵敏且有效的成像方法的需求日益增长。目的:比较体素内不相干运动(IVIM)衍生参数和表观扩散系数(ADC)在区分AS活动度方面的性能。材料与方法:将100例AS患者分为活动组(n = 51)和非活动组(n = 49),并纳入21名健康志愿者作为对照。计算所有组的ADC、扩散系数(D)、伪扩散系数(D*)和灌注分数(f)。对所有参数进行Kruskal-Wallis检验和受试者操作特征(ROC)曲线分析。结果:ADC /D具有良好的可重复性,而D*/f的可重复性相对较差。活动组的ADC、D和f显著高于非活动组和对照组(分别均为P < 0.0001)。活动组的D*略低于非活动组和对照组,但差异有统计学意义(P = 0.0064,0.0215)。非活动组与对照组之间的任何参数均无显著差异(均为P > 0.050)。在ROC分析中,ADC在区分活动组与非活动组(0.988)以及活动组与对照组(0.990)方面具有最大的曲线下面积(AUC)。多变量逻辑回归分析模型未显示出诊断性能的改善。结论:在区分AS活动度方面,ADC比IVIM衍生参数具有更好的诊断性能。因此,一种简单有效的扩散加权成像单指数模型可能足以在临床上区分AS活动度。