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
相关论文
共 34 条
[21]   Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation [J].
Parmar, Chintan ;
Velazquez, Emmanuel Rios ;
Leijenaar, Ralph ;
Jermoumi, Mohammed ;
Carvalho, Sara ;
Mak, Raymond H. ;
Mitra, Sushmita ;
Shankar, B. Uma ;
Kikinis, Ron ;
Haibe-Kains, Benjamin ;
Lambin, Philippe ;
Aerts, Hugo J. W. L. .
PLOS ONE, 2014, 9 (07)
[22]   Influence of inter-observer delineation variability on radiomics stability in different tumor sites [J].
Pavic, Matea ;
Bogowicz, Marta ;
Wurms, Xaver ;
Glatz, Stefan ;
Finazzi, Tobias ;
Riesterer, Oliver ;
Roesch, Johannes ;
Rudofsky, Leonie ;
Friess, Martina ;
Veit-Haibach, Patrick ;
Huellner, Martin ;
Opitz, Isabelle ;
Weder, Walter ;
Frauenfelder, Thomas ;
Guckenberger, Matthias ;
Tanadini-Lang, Stephanie .
ACTA ONCOLOGICA, 2018, 57 (08) :1070-1074
[23]   Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer [J].
Pickles, Martin D. ;
Gibbs, Peter ;
Lowry, Martin ;
Turnbull, Lindsay W. .
MAGNETIC RESONANCE IMAGING, 2006, 24 (07) :843-847
[24]   Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors [J].
Saha, Ashirbani ;
Harowicz, Michael R. ;
Mazurowski, Maciej A. .
MEDICAL PHYSICS, 2018, 45 (07) :3076-3085
[25]   Effects of MRI scanner parameters on breast cancer radiomics [J].
Saha, Ashirbani ;
Yu, Xiaozhi ;
Sahoo, Dushyant ;
Mazurowski, Maciej A. .
EXPERT SYSTEMS WITH APPLICATIONS, 2017, 87 :384-391
[26]   Radiomics for Response and Outcome Assessment for Non-Small Cell Lung Cancer [J].
Shi, Liting ;
He, Yaoyao ;
Yuan, Zilong ;
Benedict, Stanley ;
Valicenti, Richard ;
Qiu, Jianfeng ;
Rong, Yi .
TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2018, 17
[27]  
Song YS, 2014, ANTICANCER RES, V34, P2135
[28]  
Stewart B.W., 2014, Int Agency Res Cancer, DOI DOI 10.3322/9283204298
[29]   Salivary Gland Tumors: Use of Intravoxel Incoherent Motion MR Imaging for Assessment of Diffusion and Perfusion for the Differentiation of Benign from Malignant Tumors [J].
Sumi, Misa ;
Van Cauteren, Marc ;
Sumi, Tadateru ;
Obara, Makoto ;
Ichikawa, Yoko ;
Nakamura, Takashi .
RADIOLOGY, 2012, 263 (03) :770-777
[30]   Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: Prospective study in 66 patients [J].
Taouli, B ;
Vilgrain, V ;
Dumont, E ;
Daire, JL ;
Fan, B ;
Menu, Y .
RADIOLOGY, 2003, 226 (01) :71-78