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For: 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 [PMID: 33269256 DOI: 10.12998/wjcc.v8.i21.5203]
URL: https://www.wjgnet.com/2307-8960/full/v8/i21/5203.htm
Number Citing Articles
1
Zhi Xia, Xueyao Rong, Qiong Chen, Min Fang, Jian Xiao. A nomogram to predict lung cancer in pulmonary lesions for tuberculosis infection patientsMonaldi Archives for Chest Disease 2024;  doi: 10.4081/monaldi.2024.2847
2
Wenjing Zhao, Ziqi Xiong, Yining Jiang, Kunpeng Wang, Min Zhao, Xiwei Lu, Ailian Liu, Dongxue Qin, Zhiyong Li. Radiomics based on enhanced CT for differentiating between pulmonary tuberculosis and pulmonary adenocarcinoma presenting as solid nodules or massesJournal of Cancer Research and Clinical Oncology 2023; 149(7): 3395 doi: 10.1007/s00432-022-04256-y
3
Lijuan Sun, Chao Qin, Qun Fu, Shuangmin Hu, Wenfei Zhao, Hongyun Li. Comparison of the Detection Rates of Different Diagnostic Methods for Primary Peripheral Lung CancerFrontiers in Oncology 2022; 11 doi: 10.3389/fonc.2021.696239
4
Mayidili Nijiati, Lin Guo, Abudoukeyoumujiang Abulizi, Shiyu Fan, Abulikemu Wubuli, Abudouresuli Tuersun, Pahatijiang Nijiati, Li Xia, Kunlei Hong, Xiaoguang Zou. Deep learning and radiomics of longitudinal CT scans for early prediction of tuberculosis treatment outcomesEuropean Journal of Radiology 2023; 169: 111180 doi: 10.1016/j.ejrad.2023.111180
5
Yuanyuan Wang, Xiaoqian Shang, Liang Wang, Jiahui Fan, Fengming Tian, Xuanzheng Wang, Weina Kong, Jing Wang, Yunling Wang, Xiumin Ma. Clinical characteristics and chest computed tomography findings related to the infectivity of pulmonary tuberculosisBMC Infectious Diseases 2021; 21(1) doi: 10.1186/s12879-021-06901-2
6
Mayidili Nijiati, Renbing Zhou, Miriguli Damaola, Chuling Hu, Li Li, Baoxin Qian, Abudukeyoumujiang Abulizi, Aihemaitijiang Kaisaier, Chao Cai, Hongjun Li, Xiaoguang Zou. Deep learning based CT images automatic analysis model for active/non-active pulmonary tuberculosis differential diagnosisFrontiers in Molecular Biosciences 2022; 9 doi: 10.3389/fmolb.2022.1086047
7
Lekshmi Thattaamuriyil Padmakumari, Gisella Guido, Damiano Caruso, Ilaria Nacci, Antonella Del Gaudio, Marta Zerunian, Michela Polici, Renuka Gopalakrishnan, Aziz Kallikunnel Sayed Mohamed, Domenico De Santis, Andrea Laghi, Dania Cioni, Emanuele Neri. The Role of Chest CT Radiomics in Diagnosis of Lung Cancer or Tuberculosis: A Pilot StudyDiagnostics 2022; 12(3): 739 doi: 10.3390/diagnostics12030739
8
Qiuyu Du, Shufan Liang, Jixiang Guo, Zhang Yi, Weiming Li, Chengdi Wang, Xiuyuan Xu. Artificial IntelligenceLecture Notes in Computer Science 2022; 13605: 256 doi: 10.1007/978-3-031-20500-2_21
9
. Kailash, . Komal, Sohbia Muir, Marya Hameed, Sumera Mahar, Zeeshan Ghias Khan. Computed Tomography in Diagnosis of Lesions of Pulmonary TuberculosisPakistan Journal of Health Sciences 2023; : 166 doi: 10.54393/pjhs.v4i03.620
10
Tamarisk du Plessis, Gopika Ramkilawon, William Ian Duncombe Rae, Tanita Botha, Neil Alexander Martinson, Sarah Alice Parry Dixon, Andre Kyme, Mike Michael Sathekge. Introducing a secondary segmentation to construct a radiomics model for pulmonary tuberculosis cavitiesLa radiologia medica 2023; 128(9): 1093 doi: 10.1007/s11547-023-01681-y
11
Qi Yu, Wujin Weng, Hong Luo, Jisong Yan, Xin Zhao. The Novel Predictive Biomarkers for Type 2 Diabetes Mellitus in Active Pulmonary Tuberculosis PatientsInfection and Drug Resistance 2022; : 4529 doi: 10.2147/IDR.S377465
12
Xukun Gao, Huaqing Tan, Mengdie Zhu, Guojin Zhang, Yuntai Cao. Construction and validation of a clinical differentiation model between peripheral lung cancer and solitary pulmonary tuberculosisLung Cancer 2024; 193: 107851 doi: 10.1016/j.lungcan.2024.107851
13
Tamarisk Du Plessis, William Ian Duncombe Rae, Mike Michael Sathekge. Pulmonary tuberculosis diagnosis, differentiation and disease management: A review of radiomics applicationsPolish Journal of Medical Physics and Engineering 2021; 27(4): 251 doi: 10.2478/pjmpe-2021-0030
14
Akhil Ansary. The Misdiagnosis Casebook in Clinical Medicine2023; : 293 doi: 10.1007/978-3-031-28296-6_41
15
Yan Li, Yaohui Yu, Qian Liu, Haicheng Qi, Shan Li, Juan Xin, Yan Xing. A CT-based radiomics nomogram for the differentiation of pulmonary cystic echinococcosis from pulmonary abscessParasitology Research 2022; 121(12): 3393 doi: 10.1007/s00436-022-07663-9
16
Yufan Xiang, Chen Huang, Yan He, Qin Zhang. Cancer or Tuberculosis: A Comprehensive Review of the Clinical and Imaging Features in Diagnosis of the Confusing MassFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.644150
17
Wei Li, Jiaxin Feng, Dantian Zhu, Zhongli Xiao, Jin Liu, Yijie Fang, Lin Yao, Baoxin Qian, Shaolin Li. Nomogram model based on radiomics signatures and age to assist in the diagnosis of knee osteoarthritisExperimental Gerontology 2023; 171: 112031 doi: 10.1016/j.exger.2022.112031
18
Qi Yu, Jinqiang Guo, Fengyun Gong. Construction and Validation of a Diagnostic Scoring System for Predicting Active Pulmonary Tuberculosis in Patients with Positive T-SPOT Based on Indicators Associated with Coagulation and Inflammation: A Retrospective Cross-Sectional StudyInfection and Drug Resistance 2023; : 5755 doi: 10.2147/IDR.S410923
19
Kai Zhang, Shouliang Qi, Jiumei Cai, Dan Zhao, Tao Yu, Yong Yue, Yudong Yao, Wei Qian. Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT imagesComputers in Biology and Medicine 2022; 140: 105096 doi: 10.1016/j.compbiomed.2021.105096
20
Gary Ge, Jie Zhang. Feature selection methods and predictive models in CT lung cancer radiomicsJournal of Applied Clinical Medical Physics 2023; 24(1) doi: 10.1002/acm2.13869
21
华清 谭. Advances in Imaging Histology in Pulmonary TuberculosisAdvances in Clinical Medicine 2023; 13(05): 7624 doi: 10.12677/ACM.2023.1351065
22
Siyu Chen, Chunyan Li, Zhonghua Qin, Lili Song, Shiyuan Zhang, Chongxiang Sun, Pengwei Zhuang, Yuming Wang, Bin Yang, Li Ning, Yubo Li. Serum Metabolomic Profiles for Distinguishing Lung Cancer From Pulmonary Tuberculosis: Identification of Rapid and Noninvasive BiomarkerThe Journal of Infectious Diseases 2023; 228(9): 1154 doi: 10.1093/infdis/jiad175
23
Qing Dong, Qingqing Wen, Nan Li, Jinlong Tong, Zhaofu Li, Xin Bao, Jinzhi Xu, Dandan Li. Radiomics combined with clinical features in distinguishing non-calcifying tuberculosis granuloma and lung adenocarcinoma in small pulmonary nodulesPeerJ 2022; 10: e14127 doi: 10.7717/peerj.14127
24
Qi Yu, Jisong Yan, Shan Tian, Wujin Weng, Hong Luo, Gang Wei, Gangyu Long, Jun Ma, Fengyun Gong, Xiaorong Wang. A scoring system developed from a nomogram to differentiate active pulmonary tuberculosis from inactive pulmonary tuberculosisFrontiers in Cellular and Infection Microbiology 2022; 12 doi: 10.3389/fcimb.2022.947954
25
Yongjun Luo, Jicheng Li, Wanjun Ma, Xiaoxue Tian, Lele Huang, Han Yuping, Kai Zhang, Yijing Xie, Zhencun Cui, Jianzhong Feng, Junlin Zhou. Differential diagnosis of lung cancer and tuberculosis based on 18F-fluorodeoxyglucose PET/CT multi-time points imagingNuclear Medicine Communications 2023; 44(8): 732 doi: 10.1097/MNM.0000000000001714