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For: Chen C, Geng Q, Song G, Zhang Q, Wang Y, Sun D, Zeng Q, Dai Z, Wang G. A comprehensive nomogram combining CT-based radiomics with clinical features for differentiation of benign and malignant lung subcentimeter solid nodules. Front Oncol 2023;13:1066360. [PMID: 37007065 PMCID: PMC10064794 DOI: 10.3389/fonc.2023.1066360] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 02/13/2023] [Indexed: 03/09/2023]  Open
Number Cited by Other Article(s)
1
Yang Y, Li X, Duan Y, Zhao J, Huang Q, Zhou C, Li W, Ye L. Risk factors for malignant solid pulmonary nodules: a meta-analysis. BMC Cancer 2025;25:312. [PMID: 39984890 PMCID: PMC11844030 DOI: 10.1186/s12885-025-13702-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2024] [Accepted: 02/10/2025] [Indexed: 02/23/2025]  Open
2
Zheng Z, Liang Y, Wu Z, Han Q, Ai Z, Ma K, Xiang Z. Effect of Deep Learning Image Reconstruction Algorithms on Radiomic Features of Pulmonary Nodules in Ultra-Low-Dose CT. J Comput Assist Tomogr 2024;48:943-950. [PMID: 39095065 DOI: 10.1097/rct.0000000000001634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
3
Hu X, Zhi S, Wu W, Tao Y, Zhang Y, Li L, Li X, Pan L, Fan H, Li W. The application of metagenomics, radiomics and machine learning for diagnosis of sepsis. Front Med (Lausanne) 2024;11:1400166. [PMID: 39371337 PMCID: PMC11449737 DOI: 10.3389/fmed.2024.1400166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 09/09/2024] [Indexed: 10/08/2024]  Open
4
Qu BQ, Wang Y, Pan YP, Cao PW, Deng XY. The scoring system combined with radiomics and imaging features in predicting the malignant potential of incidental indeterminate small (<20 mm) solid pulmonary nodules. BMC Med Imaging 2024;24:234. [PMID: 39243018 PMCID: PMC11380408 DOI: 10.1186/s12880-024-01413-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 08/27/2024] [Indexed: 09/09/2024]  Open
5
Lin S, Gao M, Yang Z, Yu R, Dai Z, Jiang C, Yao Y, Xu T, Chen J, Huang K, Lin D. CT-Based Radiomics Models for Differentiation of Benign and Malignant Thyroid Nodules: A Multicenter Development and Validation Study. AJR Am J Roentgenol 2024;223:e2431077. [PMID: 38691415 DOI: 10.2214/ajr.24.31077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
6
Zhang R, Wei Y, Wang D, Chen B, Sun H, Lei Y, Zhou Q, Luo Z, Jiang L, Qiu R, Shi F, Li W. Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images. Eur Radiol 2024;34:4218-4229. [PMID: 38114849 DOI: 10.1007/s00330-023-10518-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/18/2023] [Accepted: 11/11/2023] [Indexed: 12/21/2023]
7
Yao Y, Yang Y, Hu Q, Xie X, Jiang W, Liu C, Li X, Wang Y, Luo L, Li J. A nomogram combining CT-based radiomic features with clinical features for the differentiation of benign and malignant cystic pulmonary nodules. J Cardiothorac Surg 2024;19:392. [PMID: 38937772 PMCID: PMC11210004 DOI: 10.1186/s13019-024-02936-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 06/15/2024] [Indexed: 06/29/2024]  Open
8
Cai F, Cheng L, Liao X, Xie Y, Wang W, Zhang H, Lu J, Chen R, Chen C, Zhou X, Mo X, Hu G, Huang L. An Integrated Clinical and Computerized Tomography-Based Radiomic Feature Model to Separate Benign from Malignant Pleural Effusion. Respiration 2024;103:406-416. [PMID: 38422997 DOI: 10.1159/000536517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024]  Open
9
Higgins H, Nakhla A, Lotfalla A, Khalil D, Doshi P, Thakkar V, Shirini D, Bebawy M, Ammari S, Lopci E, Schwartz LH, Postow M, Dercle L. Recent Advances in the Field of Artificial Intelligence for Precision Medicine in Patients with a Diagnosis of Metastatic Cutaneous Melanoma. Diagnostics (Basel) 2023;13:3483. [PMID: 37998619 PMCID: PMC10670510 DOI: 10.3390/diagnostics13223483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/27/2023] [Accepted: 10/31/2023] [Indexed: 11/25/2023]  Open
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