alexa Potential Application of Radiomics for Differentiating
ISSN:2167-7964

OMICS Journal of Radiology
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Research Article

Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules

Kaikai Wei1#, Huifang Su1#, Guofeng Zhou2#, Rong Zhang1, Peiqiang Cai1, Yi Fan3, Chuanmiao Xie1*, Baowei Fei4* and Zhenfeng Zhang1*
1Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
2Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
3Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
4Department of Radiology and Imaging Sciences, Emory University School of Medicine; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, USA
#These authors contributed equally to this work.
*Corresponding Authors: Chuanmiao Xie
Sun Yat-sen University Cancer Center
State Key Laboratory of Oncology in South China
Collaborative Innovation Center for Cancer Medicine
Guangzhou, People’s Republic of China
E-mail: [email protected]
Baowei Fei
Department of Radiology and Imaging Sciences
Emory University School of Medicine
Department of Biomedical Engineering
Emory University and Georgia Institute of Technology, Atlanta, USA
E-mail: [email protected]
Zhenfeng Zhang
Sun Yat-sen University Cancer Center
State Key Laboratory of Oncology in South China
Collaborative Innovation Center for Cancer Medicine
Guangzhou, People’s Republic of Chinas
Tel: +86 0208 7342 119
E-mail: [email protected]
Received date: December 08, 2015; Accepted date: March 18, 2016; Published date: March 21, 2016
Citation: Wei K, Su H, Zhou G, Zhang R, Cai P, et al. (2016) Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules. OMICS J Radiol 5:218. doi:10.4172/2167-7964.1000218
Copyright: © 2016 Wei K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
 

Abstract

A solitary pulmonary nodule is defined as radiographic lesion with diameters no more than 3 cm and completely surrounded by normal lung tissue. It is commonly encountered in clinical practice and its diagnosis is a big challenge. Medical imaging, as a non-invasive approach, plays a crucial role in the diagnosis of solitary pulmonary nodules since the potential morbidity of surgery and the limits of biopsy. Advanced hardware, image acquisition and analysis technologies have led to the utilization of imaging towards quantitative imaging. With the aim of mining more useful information from image data, radiomics with high-throughput extraction can play a useful role. This article is to introduce the current state of radiomics studies and describe the general procedures. Another objective of this paper is to discover the feasibility and potential of radiomics methods on differentiating solitary pulmonary nodules and to look into the future direction of radiomics in this area.

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