Publication Name	World Journal of Clinical Cases
Manuscript ID	57545
Country	China

Category	Engineering, Biomedical
Manuscript Type	Retrospective Study
Article Title	Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans
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
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
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.
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

Received	2020-07-21 11:03
Peer-Review Started	2020-07-21 11:03
To Make the First Decision
Return for Revision	2020-08-08 00:06
Revised	2020-08-12 01:40
Second Decision	2020-09-15 12:14
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2020-09-15 23:52
Articles in Press	2020-09-15 23:52
Publication Fee Transferred
Edit the Manuscript by Language Editor	2020-09-25 08:55
Typeset the Manuscript	2020-11-02 02:12

ISSN	2307-8960 (online)
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