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For: Yasaka K, Akai H, Nojima M, Shinozaki-Ushiku A, Fukayama M, Nakajima J, Ohtomo K, Kiryu S. Quantitative computed tomography texture analysis for estimating histological subtypes of thymic epithelial tumors. Eur J Radiol 2017. [PMID: 28624025 DOI: 10.1016/j.ejrad.2017.04.017] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Number Cited by Other Article(s)
1
Yuan YH, Zhang H, Xu WL, Dong D, Gao PH, Zhang CJ, Guo Y, Tong LL, Gong FC. Comparison of 2D and 3D radiomics features with conventional features based on contrast-enhanced CT images for preoperative prediction the risk of thymic epithelial tumors. Radiol Oncol 2025;59:69-78. [PMID: 40014788 PMCID: PMC11867572 DOI: 10.2478/raon-2025-0016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 01/27/2025] [Indexed: 03/01/2025]  Open
2
Xia H, Yu J, Nie K, Yang J, Zhu L, Zhang S. CT radiomics and human-machine hybrid system for differentiating mediastinal lymphomas from thymic epithelial tumors. Cancer Imaging 2024;24:163. [PMID: 39609913 PMCID: PMC11603948 DOI: 10.1186/s40644-024-00808-2] [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: 10/14/2023] [Accepted: 11/19/2024] [Indexed: 11/30/2024]  Open
3
Gao C, Yang L, Xu Y, Wang T, Ding H, Gao X, Li L. Differentiating low-risk thymomas from high-risk thymomas: preoperative radiomics nomogram based on contrast enhanced CT to minimize unnecessary invasive thoracotomy. BMC Med Imaging 2024;24:197. [PMID: 39090610 PMCID: PMC11295358 DOI: 10.1186/s12880-024-01367-5] [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: 04/05/2024] [Accepted: 07/15/2024] [Indexed: 08/04/2024]  Open
4
Zhao W, Ozawa Y, Hara M, Okuda K, Hiwatashi A. Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes. Jpn J Radiol 2024;42:367-373. [PMID: 38010596 DOI: 10.1007/s11604-023-01512-0] [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: 07/24/2023] [Accepted: 10/28/2023] [Indexed: 11/29/2023]
5
Gao R, Zhou J, Zhang J, Zhu J, Wang T, Yan C. Quantitative CT parameters combined with preoperative systemic inflammatory markers for differentiating risk subgroups of thymic epithelial tumors. BMC Cancer 2023;23:1158. [PMID: 38012604 PMCID: PMC10683274 DOI: 10.1186/s12885-023-11332-0] [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: 01/25/2023] [Accepted: 08/24/2023] [Indexed: 11/29/2023]  Open
6
Chen X, Feng B, Xu K, Chen Y, Duan X, Jin Z, Li K, Li R, Long W, Liu X. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes. Eur Radiol 2023;33:6804-6816. [PMID: 37148352 DOI: 10.1007/s00330-023-09690-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 02/20/2023] [Accepted: 02/27/2023] [Indexed: 05/08/2023]
7
Liu W, Wang W, Zhang H, Guo M, Xu Y, Liu X. Development and Validation of Multi-Omics Thymoma Risk Classification Model Based on Transfer Learning. J Digit Imaging 2023;36:2015-2024. [PMID: 37268842 PMCID: PMC10501978 DOI: 10.1007/s10278-023-00855-4] [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: 03/03/2023] [Revised: 05/17/2023] [Accepted: 05/19/2023] [Indexed: 06/04/2023]  Open
8
Mayoral M, Pagano AM, Araujo-Filho JAB, Zheng J, Perez-Johnston R, Tan KS, Gibbs P, Fernandes Shepherd A, Rimner A, Simone II CB, Riely G, Huang J, Ginsberg MS. Conventional and radiomic features to predict pathology in the preoperative assessment of anterior mediastinal masses. Lung Cancer 2023;178:206-212. [PMID: 36871345 PMCID: PMC10544811 DOI: 10.1016/j.lungcan.2023.02.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/14/2023] [Accepted: 02/19/2023] [Indexed: 02/23/2023]
9
Guo W, Liu J, Wang X, Yuan H. Predicting the Risk of Thymic Tumors Using Texture Analysis of Contrast-Enhanced Chest Computed Tomography. J Comput Assist Tomogr 2023:00004728-990000000-00164. [PMID: 36944121 DOI: 10.1097/rct.0000000000001467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
10
Liufu Y, Wen Y, Wu W, Su R, Liu S, Li J, Pan X, Chen K, Guan Y. Radiomics Analysis of Multiphasic Computed Tomography Images for Distinguishing High-Risk Thymic Epithelial Tumors From Low-Risk Thymic Epithelial Tumors. J Comput Assist Tomogr 2023;47:220-228. [PMID: 36877755 DOI: 10.1097/rct.0000000000001407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
11
Chang CC, Tang EK, Wei YF, Lin CY, Wu FZ, Wu MT, Liu YS, Yen YT, Ma MC, Tseng YL. Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan. Front Oncol 2023;13:1105100. [PMID: 37143945 PMCID: PMC10151670 DOI: 10.3389/fonc.2023.1105100] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/27/2023] [Indexed: 05/06/2023]  Open
12
Shang L, Wang F, Gao Y, Zhou C, Wang J, Chen X, Chughtai AR, Pu H, Zhang G, Kong W. Machine-learning classifiers based on non-enhanced computed tomography radiomics to differentiate anterior mediastinal cysts from thymomas and low-risk from high-risk thymomas: A multi-center study. Front Oncol 2022;12:1043163. [PMID: 36505817 PMCID: PMC9731806 DOI: 10.3389/fonc.2022.1043163] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/03/2022] [Indexed: 11/25/2022]  Open
13
Araujo-Filho JAB, Mayoral M, Zheng J, Tan KS, Gibbs P, Shepherd AF, Rimner A, Simone CB, Riely G, Huang J, Ginsberg MS. CT Radiomic Features for Predicting Resectability and TNM Staging in Thymic Epithelial Tumors. Ann Thorac Surg 2022;113:957-965. [PMID: 33844992 PMCID: PMC9475805 DOI: 10.1016/j.athoracsur.2021.03.084] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 03/22/2021] [Accepted: 03/29/2021] [Indexed: 12/13/2022]
14
Blüthgen C, Patella M, Euler A, Baessler B, Martini K, von Spiczak J, Schneiter D, Opitz I, Frauenfelder T. Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis. PLoS One 2021;16:e0261401. [PMID: 34928978 PMCID: PMC8687592 DOI: 10.1371/journal.pone.0261401] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 12/01/2021] [Indexed: 12/21/2022]  Open
15
Rajamohan N, Goyal A, Kandasamy D, Bhalla AS, Parshad R, Jain D, Sharma R. CT texture analysis in evaluation of thymic tumors and thymic hyperplasia: correlation with the international thymic malignancy interest group (ITMIG) stage and WHO grade. Br J Radiol 2021;94:20210583. [PMID: 34555940 PMCID: PMC8631013 DOI: 10.1259/bjr.20210583] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 09/09/2021] [Accepted: 09/14/2021] [Indexed: 11/05/2022]  Open
16
Liang CH, Liu YC, Wan YL, Yun CH, Wu WJ, López-González R, Huang WM. Quantification of Cancer-Developing Idiopathic Pulmonary Fibrosis Using Whole-Lung Texture Analysis of HRCT Images. Cancers (Basel) 2021;13:cancers13225600. [PMID: 34830759 PMCID: PMC8615829 DOI: 10.3390/cancers13225600] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/28/2021] [Accepted: 11/05/2021] [Indexed: 01/23/2023]  Open
17
Quantitative Histogram Analysis of T2-Weighted and Diffusion-Weighted Magnetic Resonance Images for Prediction of Malignant Thymic Epithelial Tumors. J Comput Assist Tomogr 2021;45:795-801. [PMID: 34347704 DOI: 10.1097/rct.0000000000001197] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
18
Kayi Cangir A, Orhan K, Kahya Y, Özakıncı H, Kazak BB, Konuk Balcı BM, Karasoy D, Uzun Ç. CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma: "Impact of surgical modality choice". World J Surg Oncol 2021;19:147. [PMID: 33975604 PMCID: PMC8114494 DOI: 10.1186/s12957-021-02259-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 05/04/2021] [Indexed: 01/08/2023]  Open
19
Liu J, Yin P, Wang S, Liu T, Sun C, Hong N. CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors. Front Oncol 2021;11:628534. [PMID: 33718203 PMCID: PMC7953900 DOI: 10.3389/fonc.2021.628534] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 01/13/2021] [Indexed: 01/08/2023]  Open
20
Ren C, Li M, Zhang Y, Zhang S. Development and validation of a CT-texture analysis nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes. Cancer Imaging 2020;20:86. [PMID: 33308325 PMCID: PMC7731456 DOI: 10.1186/s40644-020-00364-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 11/26/2020] [Indexed: 12/15/2022]  Open
21
Liu L, Lu F, Pang P, Shao G. Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas? Biomed Eng Online 2020;19:89. [PMID: 33246468 PMCID: PMC7694435 DOI: 10.1186/s12938-020-00833-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 11/17/2020] [Indexed: 01/04/2023]  Open
22
Applicability of radiomics in interstitial lung disease associated with systemic sclerosis: proof of concept. Eur Radiol 2020;31:1987-1998. [PMID: 33025174 PMCID: PMC7979612 DOI: 10.1007/s00330-020-07293-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 07/30/2020] [Accepted: 09/14/2020] [Indexed: 01/04/2023]
23
Kirienko M, Ninatti G, Cozzi L, Voulaz E, Gennaro N, Barajon I, Ricci F, Carlo-Stella C, Zucali P, Sollini M, Balzarini L, Chiti A. Computed tomography (CT)-derived radiomic features differentiate prevascular mediastinum masses as thymic neoplasms versus lymphomas. Radiol Med 2020;125:951-960. [PMID: 32306201 DOI: 10.1007/s11547-020-01188-w] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/30/2020] [Indexed: 12/14/2022]
24
Hu J, Zhao Y, Li M, Liu Y, Wang F, Weng Q, You R, Cao D. Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours. Eur J Radiol 2020;126:108929. [PMID: 32169748 DOI: 10.1016/j.ejrad.2020.108929] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 02/01/2020] [Accepted: 02/26/2020] [Indexed: 12/22/2022]
25
Quantitative 3D Shape Analysis of CT Images of Thymoma: A Comparison With Histological Types. AJR Am J Roentgenol 2020;214:341-347. [DOI: 10.2214/ajr.19.21844] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
26
MRI Radiomics Analysis for Predicting the Pathologic Classification and TNM Staging of Thymic Epithelial Tumors: A Pilot Study. AJR Am J Roentgenol 2020;214:328-340. [PMID: 31799873 DOI: 10.2214/ajr.19.21696] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
27
Akai H, Yasaka K, Kunimatsu A, Ohtomo K, Abe O, Kiryu S. Application of CT texture analysis to assess the localization of primary aldosteronism. Sci Rep 2020;10:472. [PMID: 31949215 PMCID: PMC6965605 DOI: 10.1038/s41598-020-57427-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Accepted: 12/30/2019] [Indexed: 11/10/2022]  Open
28
Radiomics Signatures of Computed Tomography Imaging for Predicting Risk Categorization and Clinical Stage of Thymomas. BIOMED RESEARCH INTERNATIONAL 2019;2019:3616852. [PMID: 31275968 PMCID: PMC6558631 DOI: 10.1155/2019/3616852] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 03/20/2019] [Accepted: 05/12/2019] [Indexed: 12/12/2022]
29
Sui H, Liu L, Li X, Zuo P, Cui J, Mo Z. CT-based radiomics features analysis for predicting the risk of anterior mediastinal lesions. J Thorac Dis 2019;11:1809-1818. [PMID: 31285873 DOI: 10.21037/jtd.2019.05.32] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
30
Mannil M, von Spiczak J, Muehlematter UJ, Thanabalasingam A, Keller DI, Manka R, Alkadhi H. Texture analysis of myocardial infarction in CT: Comparison with visual analysis and impact of iterative reconstruction. Eur J Radiol 2019;113:245-250. [PMID: 30927955 DOI: 10.1016/j.ejrad.2019.02.037] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 02/25/2019] [Accepted: 02/26/2019] [Indexed: 12/31/2022]
31
D'Onofrio M, Ciaravino V, Cardobi N, De Robertis R, Cingarlini S, Landoni L, Capelli P, Bassi C, Scarpa A. CT Enhancement and 3D Texture Analysis of Pancreatic Neuroendocrine Neoplasms. Sci Rep 2019;9:2176. [PMID: 30778137 PMCID: PMC6379382 DOI: 10.1038/s41598-018-38459-6] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 12/28/2018] [Indexed: 12/13/2022]  Open
32
Akai H, Yasaka K, Kunimatsu A, Nojima M, Kokudo T, Kokudo N, Hasegawa K, Abe O, Ohtomo K, Kiryu S. Predicting prognosis of resected hepatocellular carcinoma by radiomics analysis with random survival forest. Diagn Interv Imaging 2018;99:643-651. [DOI: 10.1016/j.diii.2018.05.008] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 05/12/2018] [Accepted: 05/15/2018] [Indexed: 12/16/2022]
33
Yasaka K, Akai H, Kunimatsu A, Kiryu S, Abe O. Deep learning with convolutional neural network in radiology. Jpn J Radiol 2018;36:257-272. [PMID: 29498017 DOI: 10.1007/s11604-018-0726-3] [Citation(s) in RCA: 212] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 02/26/2018] [Indexed: 12/28/2022]
34
Imaging prediction of nonalcoholic steatohepatitis using computed tomography texture analysis. Eur Radiol 2018;28:3050-3058. [PMID: 29404772 DOI: 10.1007/s00330-017-5270-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 12/10/2017] [Accepted: 12/20/2017] [Indexed: 12/20/2022]
35
Yasaka K, Akai H, Abe O, Ohtomo K, Kiryu S. Quantitative computed tomography texture analyses for anterior mediastinal masses: Differentiation between solid masses and cysts. Eur J Radiol 2018;100:85-91. [PMID: 29496084 DOI: 10.1016/j.ejrad.2018.01.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 09/22/2017] [Accepted: 01/15/2018] [Indexed: 10/18/2022]
36
Yasaka K, Akai H, Kunimatsu A, Abe O, Kiryu S. Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images. Radiology 2017;287:146-155. [PMID: 29239710 DOI: 10.1148/radiol.2017171928] [Citation(s) in RCA: 148] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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