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Can I read Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach on EtoBox?
Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach by Chen, Bihong T.; Chen, Zikuan; Ye, Ningrong; Mambetsariev, Isa; Fricke, Jeremy; Daniel, Ebenezer; Wang, George; Wong, Chi Wah; Rockne, Russell C.; Colen, Rivka R.; Nasser, Mohd W.; Batra, Surinder K.; Holodny, Andrei I.; Sampath, Sagus; Salgia, Ravi is a Medicine article available to read on EtoBox.
What is Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach about?
Lung cancer can be classified into two main categories: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), which are different in treatment strategy and survival probability. The lung CT images of SCLC and NSCLC are similar such that their subtle differences are hardly visually discernible by the human eye through conventional imaging evaluation. We hypothesize that SCLC/NSCLC differentiation could be achieved via computerized image feature analysis and classification in feature space, as termed a radiomic model. The purpose of this study was to use CT radiomics to differentiate SCLC from NSCLC adenocarcinoma. Patients with primary lung cancer, either SCLC or NSCLC adenocarcinoma, were retrospectively identified. The post-diagnosis pre-treatment lung CT images were used to segment the lung cancers. Radiomic features were extracted from histogram-based statistics, textural analysis of tumor images and their wavelet transforms. A minimal-redundancy-maximal-relevance method was used for feature selection. The predictive model was constructed with a multilayer artificial neural network. The performance of the SCLC/NSCLC adenocarcinoma classifier was evaluated by the
Who reads Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Chen, Bihong T.; Chen, Zikuan; Ye, Ningrong; Mambetsariev, Isa; Fricke, Jeremy; Daniel, Ebenezer; Wang, George; Wong, Chi Wah; Rockne, Russell C.; Colen, Rivka R.; Nasser, Mohd W.; Batra, Surinder K.; Holodny, Andrei I.; Sampath, Sagus; Salgia, Ravi
- Publisher
- Frontiers Media SA; Frontiers Media S.A.; Lausanne: Frontiers Media S.A., 2011- (ISSN 2234-943X)
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)