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Articles Published Processes
11/6/2020 9:07:37 AM | Browse: 642 | Download: 1529
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Received |
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2020-07-21 11:03 |
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Peer-Review Started |
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2020-07-21 11:03 |
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To Make the First Decision |
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Return for Revision |
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2020-08-08 00:06 |
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Revised |
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2020-08-12 01:40 |
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Second Decision |
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2020-09-15 12:14 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-09-15 23:52 |
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Articles in Press |
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2020-09-15 23:52 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-09-25 08:55 |
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Typeset the Manuscript |
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2020-11-02 02:12 |
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Publish the Manuscript Online |
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2020-11-06 09:07 |
| ISSN |
2307-8960 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Engineering, Biomedical |
| Manuscript Type |
Retrospective Study |
| Article Title |
Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
E-Nuo Cui, Tao Yu, Sheng-Jie Shang, Xiao-Yu Wang, Yi-Lin Jin, Yue Dong, Hai Zhao, Ya-Hong Luo and Xi-Ran Jiang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
81872363 |
| Youth Science and Technology Innovation Leader Support Project |
RC170497 |
| Shenyang Municipal Science and Technology Project |
F16-206-9-23 |
| Natural Science Foundation of Liaoning Province of China |
201602450 |
| National Key R＆D Program of Ministry of Science and Technology of China |
2016YFC1303002 |
| Major Technology Plan Project of Shenyang |
17-230-9-07 |
| Supporting Fund for Big data in Health Care |
HMB201903101 |
| 2018 Key Research and Guidance Project of Liaoning Province |
2018225038 |
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| Corresponding Author |
Xi-Ran Jiang, PhD, Associate Professor, Department of Biomedical Engineering, China Medical University, No. 77 Puhe Road, Shenyang 110122, Liaoning Province, China. xrjiang@cmu.edu.cn |
| Key Words |
Pulmonary tuberculosis; Lung cancer; Radiomics; Computed tomography; Computer–aided diagnosis; Nomogram |
| Core Tip |
Pulmonary tuberculosis (TB) often exhibits great similarities with lung cancer (LC) on computed tomography (CT) images, which may lead to clinical misdiagnosis. Our study evaluated the discriminative performance of peritumoral regions on differentiating between TB and LC. Radiomics features were extracted and selected from preoperative lung CT images. An eight-feature-combined radiomics signature was constructed as an identifier of TB and LC. A radiomics nomogram model was also plotted and validated with calibration curve and decision curve analyses. The good performance of our model could improve current applications of computer-aided diagnosis for pulmonary tuberculosis and lung cancer. |
| Publish Date |
2020-11-06 09:07 |
| Citation |
Cui EN, Yu T, Shang SJ, Wang XY, Jin YL, Dong Y, Zhao H, Luo YH, Jiang XR. Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans. World J Clin Cases 2020; 8(21): 5203-5212 |
| URL |
https://www.wjgnet.com/2307-8960/full/v8/i21/5203.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v8.i21.5203 |
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