Suo Shiteng, Chen Xiaoxi, Ji Xiang, Zhuang Zhiguo, Wu Lianming, Yao Qiuying, Fan Yu, Xu Jianrong
From the *Department of Radiology, Ren Ji Hospital, School of Medicine, and †School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
J Comput Assist Tomogr. 2015 Mar-Apr;39(2):281-5. doi: 10.1097/RCT.0000000000000197.
The objective of this study was to investigate the non-Gaussian water diffusion properties in bladder cancer and assess the efficacy of diffusion kurtosis imaging for estimating the histological grade of bladder cancer.
Twenty-one patients with bladder cancer (high-grade, 12; low-grade, 9) and 17 negative controls who underwent preoperative 3.0-T magnetic resonance imaging including multi-b value diffusion-weighted imaging (b values, 0, 500, 800, 1200, 1500, and 2000 s/mm) were included. Besides apparent diffusion coefficient (ADC) maps, diffusion kurtosis imaging maps for diffusion coefficient (Dapp) and kurtosis (Kapp) were also obtained. Data were analyzed using the Mann-Whitney U test, Spearman correlation test, and receiver operating characteristic curves.
Bladder cancer showed significantly lower ADC values, lower Dapp values, and higher Kapp values compared with normal bladder wall (all P < 0.001). The Kapp values were significantly higher in high-grade than in low-grade tumors (P = 0.007). Significant correlations were found between Dapp and ADC (r = 0.901, P < 0001) as well as between Kapp and ADC (r = -0.910, P <0.001). The areas under the receiver operating characteristic curve were 0.843 and 0.796 for estimation of high-grade bladder cancer by using the Kapp values and ADC values, respectively.
Diffusion in bladder cancer follows a non-Gaussian behavior. The new metric Kapp may potentially serve as a biomarker of grade of bladder cancer.
本研究旨在探讨膀胱癌中非高斯水扩散特性,并评估扩散峰度成像在估计膀胱癌组织学分级方面的效能。
纳入21例膀胱癌患者(高级别12例,低级别9例)和17例阴性对照者,所有患者均接受了术前3.0-T磁共振成像检查,包括多b值扩散加权成像(b值为0、500、800、1200、1500和2000 s/mm²)。除了表观扩散系数(ADC)图外,还获得了扩散系数(Dapp)和峰度(Kapp)的扩散峰度成像图。采用Mann-Whitney U检验、Spearman相关性检验和受试者操作特征曲线进行数据分析。
与正常膀胱壁相比,膀胱癌的ADC值、Dapp值显著降低,Kapp值显著升高(均P < 0.001)。高级别肿瘤的Kapp值显著高于低级别肿瘤(P = 0.007)。Dapp与ADC之间(r = 0.901,P < 0.001)以及Kapp与ADC之间(r = -0.910,P < 0.001)均存在显著相关性。利用Kapp值和ADC值估计高级别膀胱癌时,受试者操作特征曲线下面积分别为0.843和0.796。
膀胱癌中的扩散呈非高斯行为。新指标Kapp可能潜在地作为膀胱癌分级的生物标志物。