Radiomic analysis in prediction of Human Papilloma Virus status

Clinical and Translational Radiation Oncology - Tập 7 - Trang 49-54 - 2017
Kaixian Yu1, Youyi Zhang1, Yang Yu2, Chao Huang3, Rongjie Liu1, Tengfei Li1, Liuqing Yang2, Jeffrey S. Morris1, Veerabhadran Baladandayuthapani1, Hongtu Zhu1
1Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, United States
2Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, United States
3Department of Biostatistics, University of North Carolina at Chapel Hill, United States

Tài liệu tham khảo

de Jong, 2010, Hpv and high-risk gene expression profiles predict response to chemoradiotherapy in head and neck cancer, independent of clinical factors, Radiother Oncol, 95, 365, 10.1016/j.radonc.2010.02.001 Ang, 2010, Human papillomavirus and survival of patients with oropharyngeal cancer, N Engl J Med, 363, 24, 10.1056/NEJMoa0912217 Fakhry, 2008, Improved survival of patients with human papillomavirus-positive head and neck squamous cell carcinoma in a prospective clinical trial, J Natl Cancer Inst, 100, 261, 10.1093/jnci/djn011 Kong, 2015, Predicting alzheimers disease using combined imaging-whole genome snp data, J Alzheimer’s Dis: JAD, 46, 695, 10.3233/JAD-150164 Jack, 1999, Prediction of ad with mri-based hippocampal volume in mild cognitive impairment, Neurology, 52, 1397, 10.1212/WNL.52.7.1397 Fennema-Notestine, 2009, Structural mri biomarkers for preclinical and mild alzheimer’s disease, Hum Brain Mapping, 30, 3238, 10.1002/hbm.20744 Davatzikos, 2011, Prediction of mci to ad conversion, via mri, csf biomarkers, and pattern classification, Neurobiol Aging, 32, 10.1016/j.neurobiolaging.2010.05.023 Cuingnet, 2011, Automatic classification of patients with alzheimer’s disease from structural mri: a comparison of ten methods using the adni database, Neuroimage, 56, 766, 10.1016/j.neuroimage.2010.06.013 Hazlett, 2017, Early brain development in infants at high risk for autism spectrum disorder, Nature, 542, 348, 10.1038/nature21369 Caroline, 2014, Lung cancer screening with low dose ct, Radiol. Clinics North Am., 52, 27, 10.1016/j.rcl.2013.08.006 Aberle, 2011, Reduced lung-cancer mortality with low-dose computed tomographic screening, N Engl J Med, 365, 395, 10.1056/NEJMoa1102873 Lindfors, 2008, Dedicated breast ct: initial clinical experience, Radiology, 246, 725, 10.1148/radiol.2463070410 Aerts, 2014, Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach, Nat Commun, 5, 4006, 10.1038/ncomms5006 Cantrell, 2013, Differences in imaging characteristics of hpv-positive and hpv-negative oropharyngeal cancers: a blinded matched-pair analysis, AJNR. Am J Neuroradiol, 34, 2005, 10.3174/ajnr.A3524 Buch K, Fujita A, Li B, Kawashima Y, Qureshi M, Sakai O, Using texture analysis to determine human papillomavirus status of oropharyngeal squamous cell carcinomas on ct. Am J Neuroradiol36(7); 2015, pp. 1343–1348. arXiv: http://www.ajnr.org/content/36/7/1343.full.pdf.https://doi.org/10.3174/ajnr.A4285. URLhttp://www.ajnr.org/content/36/7/1343. Bogowicz M, Riesterer O, Ikenberg K, Stieb S, Moch H, Studer G. et al., Computed tomography radiomics predicts hpv status and local tumor control after definitive radiochemotherapy in head and neck squamous cell carcinoma. Int J Radiat Oncol Biol Phys.https://doi.org/10.1016/j.ijrobp.2017.06.002. URLhttp://www.sciencedirect.com/science/article/pii/S0360301617310118. Zhang, 2015, Ibex: an open infrastructure software platform to facilitate collaborative work in radiomics, Med Phys, 42, 1341, 10.1118/1.4908210 Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges 4 (2017) 170077.https://doi.org/10.1038/sdata.2017.77.https://www.nature.com/articles/sdata201777#supplementary-information. Grubbs FE, Procedures for detecting outlying observations in samples, Technometrics 11 (1), c6758 Times Cited:1461 Cited References Count:15. Wilcoxon, 1945, Individual comparisons by ranking methods, Biometrics Bull, 1, 80, 10.2307/3001968 Mann, 1947, On a test of whether one of two random variables is stochastically larger than the other, Ann Math Stat, 50, 10.1214/aoms/1177730491 Kolmogorov, 1933, Sulla determinazione empirica di una legge di distribuzione, Giornale dell’Istituto Italiano degli Attuari, 4, 83 Smirnov, 1948, Table for estimating the goodness of fit of empirical distributions, Ann Math Stat, 279, 10.1214/aoms/1177730256 Nelder, 1972, Generalized linear models, J R Stat Soc Ser A (General), 135, 370, 10.2307/2344614 Menardi, 2014, An advancement in clustering via nonparametric density estimation, Stat Comput, 24, 753, 10.1007/s11222-013-9400-x Quinlan, 1983, 463 Breiman, 2001, Random forests, Mach Learn, 45, 5, 10.1023/A:1010933404324 Boser BE, Guyon IM, Vapnik VN, A training algorithm for optimal margin classiffers; 1992.https://doi.org/10.1145/130385.130401. Chan, 2017, Morphologic and topographic radiologic features of human papillomavirus-related and unrelated oropharyngeal carcinoma, Head Neck, 39, 1524, 10.1002/hed.24764