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270 related items for PubMed ID: 30887749
1. Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography. Lee SH, Yoon SH, Nam JG, Kim HJ, Ahn SY, Kim HK, Lee HJ, Lee HH, Cheon GJ, Goo JM. Korean J Radiol; 2019 Apr; 20(4):671-682. PubMed ID: 30887749 [Abstract] [Full Text] [Related]
2. Evaluation of metabolic response with 18F-FDG PET-CT in patients with advanced or recurrent thymic epithelial tumors. Segreto S, Fonti R, Ottaviano M, Pellegrino S, Pace L, Damiano V, Palmieri G, Del Vecchio S. Cancer Imaging; 2017 Mar 07; 17(1):10. PubMed ID: 28264726 [Abstract] [Full Text] [Related]
3. Value of metabolic parameters in distinguishing primary mediastinal lymphomas from thymic epithelial tumors. Zhu L, Li X, Wang J, Fu Q, Liu J, Ma W, Xu W, Chen W. Cancer Biol Med; 2020 May 15; 17(2):468-477. PubMed ID: 32587782 [Abstract] [Full Text] [Related]
4. Role of combined 18F-FDG-PET/CT for predicting the WHO malignancy grade of thymic epithelial tumors: a multicenter analysis. Lococo F, Cesario A, Okami J, Cardillo G, Cavuto S, Tokunaga T, Apolone G, Margaritora S, Granone P. Lung Cancer; 2013 Nov 15; 82(2):245-51. PubMed ID: 23992878 [Abstract] [Full Text] [Related]
5. A diagnostic model based on 18F-FDG PET/CT parameters in improving the differential diagnosis of invasive thymic epithelial tumors and anterior mediastinal lymphomas. Zhou S, Tsui P, Lin M, Chen G, Chen W, Cai X. BMC Med Imaging; 2024 Jan 08; 24(1):14. PubMed ID: 38191331 [Abstract] [Full Text] [Related]
6. Differentiating the grades of thymic epithelial tumor malignancy using textural features of intratumoral heterogeneity via (18)F-FDG PET/CT. Lee HS, Oh JS, Park YS, Jang SJ, Choi IS, Ryu JS. Ann Nucl Med; 2016 May 08; 30(4):309-19. PubMed ID: 26868139 [Abstract] [Full Text] [Related]
7. Pretreatment serum neutrophil-to-lymphocyte and monocyte-to-lymphocyte ratios: Two tumor-related systemic inflammatory markers in patients with thymic epithelial tumors. Wang L, Ruan M, Yan H, Lei B, Sun X, Chang C, Liu L, Xie W. Cytokine; 2020 Sep 08; 133():155149. PubMed ID: 32512341 [Abstract] [Full Text] [Related]
8. The combination of maximum standardized uptake value and clinical parameters for improving the accuracy in distinguishing primary mediastinal lymphomas from thymic epithelial tumors. Yan H, Wang L, Lei B, Ruan M, Chang C, Zhou M, Liu L, Xie W, Wang Y. Quant Imaging Med Surg; 2024 Feb 01; 14(2):1944-1956. PubMed ID: 38415117 [Abstract] [Full Text] [Related]
9. Growth of thymic epithelial tumors and thymic cysts: Differential radiological points. Kim H, Yoon SH, Kim J, Lee KW, Choi YR, Cho H, Goo JM. Thorac Cancer; 2019 Apr 01; 10(4):864-871. PubMed ID: 30793538 [Abstract] [Full Text] [Related]
10. 18F-fluorodeoxyglucose positron emission tomography/computed tomography and the relationship between fluorodeoxyglucose uptake and the expression of hypoxia-inducible factor-1α, glucose transporter-1 and vascular endothelial growth factor in thymic epithelial tumours. Toba H, Kondo K, Sadohara Y, Otsuka H, Morimoto M, Kajiura K, Nakagawa Y, Yoshida M, Kawakami Y, Takizawa H, Kenzaki K, Sakiyama S, Bando Y, Tangoku A. Eur J Cardiothorac Surg; 2013 Aug 01; 44(2):e105-12. PubMed ID: 23674658 [Abstract] [Full Text] [Related]
11. Combined imaging with 18F-FDG-PET/CT and 111In-labeled octreotide SPECT for evaluation of thymic epithelial tumors. De Luca S, Fonti R, Palmieri G, Federico P, Del Prete G, Pacelli R, Pace L, De Placido S, Salvatore M, Del Vecchio S. Clin Nucl Med; 2013 May 01; 38(5):354-8. PubMed ID: 23486323 [Abstract] [Full Text] [Related]
12. Value of 18F-FDG PET/CT for Predicting the World Health Organization Malignant Grade of Thymic Epithelial Tumors: Focused in Volume-Dependent Parameters. Park SY, Cho A, Bae MK, Lee CY, Kim DJ, Chung KY. Clin Nucl Med; 2016 Jan 01; 41(1):15-20. PubMed ID: 26545017 [Abstract] [Full Text] [Related]
13. Value of 18F-FDG PET/computed tomography in predicting the simplified WHO grade of malignancy in thymic epithelial tumors. Zhao J, Wang H, Li Q. Nucl Med Commun; 2020 Apr 01; 41(4):405-410. PubMed ID: 32032191 [Abstract] [Full Text] [Related]
14. Role of quantitative energy spectrum CT parameters in differentiating thymic epithelial tumours and thymic cysts. Zhou Q, Huang X, Xie Y, Liu X, Li S, Zhou J. Clin Radiol; 2022 Feb 01; 77(2):136-141. PubMed ID: 34857380 [Abstract] [Full Text] [Related]
15. Distinguishing thymic cysts from low-risk thymomas via [18F]FDG PET/CT. Choi S, Kim YI, Han S, Yun JK, Lee GD, Choi S, Kim HR, Kim YH, Kim DK, Park SI, Ryu JS. EJNMMI Res; 2024 May 03; 14(1):45. PubMed ID: 38702532 [Abstract] [Full Text] [Related]
16. FDG PET-CT aids in the preoperative assessment of patients with newly diagnosed thymic epithelial malignancies. Benveniste MF, Moran CA, Mawlawi O, Fox PS, Swisher SG, Munden RF, Marom EM. J Thorac Oncol; 2013 Apr 03; 8(4):502-10. PubMed ID: 23446204 [Abstract] [Full Text] [Related]
17. Texture analysis of 18F-FDG PET/CT for grading thymic epithelial tumours: usefulness of combining SUV and texture parameters. Nakajo M, Jinguji M, Shinaji T, Nakajo M, Aoki M, Tani A, Sato M, Yoshiura T. Br J Radiol; 2018 Feb 03; 91(1083):20170546. PubMed ID: 29182373 [Abstract] [Full Text] [Related]
18. Multiparameter diagnostic model based on 18F-FDG PET and clinical characteristics can differentiate thymic epithelial tumors from thymic lymphomas. Wang G, Du L, Lu X, Liu J, Zhang M, Pan Y, Meng X, Xu X, Guan Z, Yang J. BMC Cancer; 2022 Aug 16; 22(1):895. PubMed ID: 35974323 [Abstract] [Full Text] [Related]
19. Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes. Zhao W, Ozawa Y, Hara M, Okuda K, Hiwatashi A. Jpn J Radiol; 2024 Apr 16; 42(4):367-373. PubMed ID: 38010596 [Abstract] [Full Text] [Related]
20. Quantitative CT parameters combined with preoperative systemic inflammatory markers for differentiating risk subgroups of thymic epithelial tumors. Gao R, Zhou J, Zhang J, Zhu J, Wang T, Yan C. BMC Cancer; 2023 Nov 27; 23(1):1158. PubMed ID: 38012604 [Abstract] [Full Text] [Related] Page: [Next] [New Search]