Evaluation of a fractional-order calculus diffusion model and bi-parametric VI-RADS for staging and grading bladder urothelial carcinoma

被引:32
作者
Feng, Cui [1 ,2 ]
Wang, Yanchun [1 ]
Dan, Guangyu [2 ,3 ]
Zhong, Zheng [2 ,3 ]
Karaman, M. Muge [2 ,3 ]
Li, Zhen [1 ]
Hu, Daoyu [1 ]
Zhou, Xiaohong Joe [2 ,3 ,4 ,5 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Tongji Hosp, Dept Radiol, 1095 Jiefang Ave, Wuhan 430030, Peoples R China
[2] Univ Illinois, Ctr MR Res, MC 707,Suite 1A,1801 West Taylor St, Chicago, IL 60612 USA
[3] Univ Illinois, Dept Bioengn, Chicago, IL 60607 USA
[4] Univ Illinois, Dept Radiol, Chicago, IL 60607 USA
[5] Univ Illinois, Dept Neurosurg, Chicago, IL 60607 USA
关键词
Urinary bladder neoplasms; Diffusion magnetic resonance imaging; Neoplasm grading; PEDIATRIC BRAIN-TUMORS; ANOMALOUS DIFFUSION; DIFFERENTIATION; ASSOCIATION;
D O I
10.1007/s00330-021-08203-2
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
Objectives To evaluate the feasibility of high b-value diffusion-weighted imaging (DWI) for distinguishing non-muscle-invasive bladder cancer (NMIBC) from muscle-invasive bladder cancer (MIBC) and low- from high-grade bladder urothelial carcinoma using a fractional-order calculus (FROC) model as well as a combination of FROC DWI and bi-parametric Vesical Imaging-Reporting and Data System (VI-RADS). Methods Fifty-eight participants with bladder urothelial carcinoma were included in this IRB-approved prospective study. Diffusion-weighted images, acquired with 16 b-values (0-3600 s/mm(2)), were analyzed using the FROC model. Three FROC parameters, D, beta, and mu, were used for delineating NMIBC from MIBC and for tumor grading. A receiver operating characteristic (ROC) analysis was performed based on the individual FROC parameters and their combinations, followed by comparisons with apparent diffusion coefficient (ADC) and bi-parametric VI-RADS based on T2-weighted images and DWI. Results D and mu were significantly lower in the MIBC group than in the NMIBC group (p = 0.001 for each), and D, beta, and mu all exhibited significantly lower values in the high- than in the low-grade tumors (p <= 0.011). The combination of D, beta, and mu produced the highest specificity (85%), accuracy (78%), and the area under the ROC curve (AUC, 0.782) for distinguishing NMIBC and MIBC, and the best sensitivity (89%), specificity (86%), accuracy (88%), and AUC (0.892) for tumor grading, all of which outperformed the ADC. The combination of FROC parameters with bi-parametric VI-RADS improved the AUC from 0.859 to 0.931. Conclusions High b-value DWI with a FROC model is useful in distinguishing NMIBC from MIBC and grading bladder tumors.
引用
收藏
页码:890 / 900
页数:11
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