Selection of Radiomic Features for the Classification of Triple-negative Breast Cancer Based on Radiogenomics-Reference-Cited by-同舟云学术

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Selection of Radiomic Features for the Classification of Triple-negative Breast Cancer Based on Radiogenomics

Published:2019 Issue:1 Volume:75 Page:24-31
ISSN:0369-4305
Container-title:Japanese Journal of Radiological Technology
language:en
Short-container-title:Nippon Hoshasen Gijutsu Gakkai Zasshi

Author:

Kai Chiharu¹,Ishimaru Mako²,Uchiyama Yoshikazu³,Shiraishi Junji³,Shinohara Norimitsu⁴,Fujita Hiroshi⁵

Affiliation:

1. Graduate School of Health Sciences, Kumamoto University

2. National Hospital Organization Kyushu Cancer Center

3. Department of Medical Physics, Faculty of Life Sciences, Kumamoto University

4. Department of Radiological Technology, Faculty of Health Sciences, Gifu University of Medical Science

5. Department Electrical, Electronic & Computer Engineering, Faculty Engineering, Gifu University

Publisher

Japanese Society of Radiological Technology

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jjrt/75/1/75_2019_JSRT_75.1.24/_pdf

Reference20 articles.

1. 2) Perou CM, Sørlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature 2000; 406(6797): 747–752.

2. 3) Sørlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA 2001; 98(19): 10869–10874.

3. 4) Sorlie T, Tibshirani R, Parker J, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA 2003; 100(14): 8418–8423.

4. 5) Cheang MC, Chia SK, Voduc D, et al. Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst 2009; 101(10): 736–750.

5. 6) Goldhirsch A, Wood WC, Coates AS, et al. Strategies for subtypes—dealing with the diversity of breast cancer: high-lights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol 2011; 22(8): 1736–1747.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integration of radiogenomic features for early prediction of pathological complete response in patients with triple-negative breast cancer and identification of potential therapeutic targets;Journal of Translational Medicine;2022-06-07

2. Function Integrated Diagnostic Assistance Based on MCA Models;Multidisciplinary Computational Anatomy;2021-12-01

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