Reproducibility of radiomics features derived from intravoxel incoherent motion diffusion-weighted MRI of cervical cancer

被引:11
作者
Chen, Hao [1 ]
He, Yaoyao [1 ]
Zhao, Cecheng [2 ]
Zheng, Lili [1 ]
Pan, Ning [3 ,4 ]
Qiu, Jianfeng [5 ]
Zhang, Zhaoxi [1 ]
Niu, Xiaohui [2 ]
Yuan, Zilong [1 ]
机构
[1] Huazhong Univ Sci & Technol, Hubei Canc Hosp, Tongji Med Coll, Dept Radiol, 116 Zhuodaoquan South Rd, Wuhan 430079, Hubei, Peoples R China
[2] Huazhong Agr Univ, Coll Informat, Wuhan, Peoples R China
[3] South Cent Univ Nationalities, Coll Biomed Engn, Wuhan, Peoples R China
[4] Hubei Key Lab Med Informat Anal & Tumor Diag & Tr, Wuhan, Peoples R China
[5] Shandong First Med Univ & Shandong Acad Med Sci, Med Engn & Technol Ctr, Tai An, Shandong, Peoples R China
关键词
Cervical cancer; intravoxel incoherent motion; reproducibility; radiomics; TEXTURE ANALYSIS; B-VALUES; HISTOGRAM; PERFUSION; VARIABILITY; RELIABILITY; PARAMETERS;
D O I
10.1177/0284185120934471
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
Background The reproducibility of intravoxel incoherent motion (IVIM)-based radiomics studies in humans has not been reported. Purpose To determine the inter- and intra-observer variability on the reproducibility of IVIM-based radiomics features in cervical cancer (CC). Material and Methods The IVIM images of 25 patients with CC were retrospectively collected. Based on the high-resolution T2-weighted images, the regions of interest (ROIs) were independently delineated twice in diffusion-weighted images at a b value of 1000 s/mm(2)(interval time was one month) by two radiologists. This was done at the largest transversal cross-sections of the tumors. The ROI was subsequently used in apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) maps derived from IVIM images. In total, 105 radiomics features were then finally extracted from the IVIM-derived maps. The inter- and intra-observer reproducibility of IVIM-derived features was then evaluated using the intraclass correlation coefficient. Results Inter- and intra-observer variability affected the reproducibility of radiomics features. D* map had 100% and 95% reproducible features, ADC map had 89% and 93%, D map had 97% and 86%, while f map had 54% and 62% reproducible features with good to excellent reliability in the intra-observer analysis. Similarly, D* map had 90% and 94%, ADC map had 85% and 70%, D map had 81% and 78%, while f map had 41% and 93% reproducible features with good to excellent reliability in the inter-observer analysis. Conclusion Inter- and intra-observer variability can affect radiomics analysis. Cognizant to this, multicenter studies should pay more attention to intra- and inter-observer variability.
引用
收藏
页码:679 / 686
页数:8
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