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Journal Abstract Search

244 related items for PubMed ID: 29219888

  • 21. 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; 42(4):367-373. PubMed ID: 38010596
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  • 22. A novel risk classifier for predicting the overall survival of patients with thymic epithelial tumors based on the eighth edition of the TNM staging system: A population-based study.
    Li Y, Jiang A, Zhao Y, Shi C, Ma Y, Fu X, Liang X, Tian T, Ruan Z, Yao Y.
    Front Endocrinol (Lausanne); 2022 Apr; 13():1050364. PubMed ID: 36561557
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  • 23. 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; 91(1083):20170546. PubMed ID: 29182373
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  • 24. Thymic Epithelial Neoplasms: Radiologic-Pathologic Correlation.
    Lichtenberger JP, Carter BW, Fisher DA, Parker RF, Peterson PG.
    Radiol Clin North Am; 2021 Mar; 59(2):169-182. PubMed ID: 33551079
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  • 25. Analysis of a panel of druggable gene mutations and of ALK and PD-L1 expression in a series of thymic epithelial tumors (TETs).
    Tiseo M, Damato A, Longo L, Barbieri F, Bertolini F, Stefani A, Migaldi M, Gnetti L, Camisa R, Bordi P, Buti S, Rossi G.
    Lung Cancer; 2017 Feb; 104():24-30. PubMed ID: 28212996
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  • 30. The International Association for the Study of Lung Cancer Thymic Epithelial Tumor Staging Project: Unresolved Issues to be Addressed for the Next Ninth Edition of the TNM Classification of Malignant Tumors.
    Ruffini E, Rami-Porta R, Huang J, Ahmad U, Appel S, Bille A, Boubia S, Brambilla C, Cangir AK, Cilento V, Detterbeck F, Falkson C, Fang W, Filosso PL, Giaccone G, Girard N, Guerrera F, Infante M, Kim DK, Lucchi M, Marino M, Marom EM, Nicholson AG, Okumura M, Rimner A, Simone CB, Asamura H, IASLC Staging and Prognostic Factors Committee and of the Advisory Boards.
    J Thorac Oncol; 2022 Jun; 17(6):838-851. PubMed ID: 35321838
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  • 31. Thymic epithelial tumors: prognostic determinants among clinical, histopathologic, and computed tomography findings.
    Moon JW, Lee KS, Shin MH, Kim S, Woo SY, Lee G, Han J, Shim YM, Choi YS.
    Ann Thorac Surg; 2015 Feb; 99(2):462-70. PubMed ID: 25534526
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  • 34. Does CT of thymic epithelial tumors enable us to differentiate histologic subtypes and predict prognosis?
    Jeong YJ, Lee KS, Kim J, Shim YM, Han J, Kwon OJ.
    AJR Am J Roentgenol; 2004 Aug; 183(2):283-9. PubMed ID: 15269013
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  • 35. A nomogram for predicting recurrence after complete resection for thymic epithelial tumors based on the TNM classification: A multi-institutional retrospective analysis.
    Yun JK, Lee GD, Kim HR, Kim DK, Zo JI, Shim YM, Kang CH, Kim YT, Paik HC, Chung KY, other members of the Korean Association for Research on the Thymus (KART)..
    J Surg Oncol; 2019 Jun; 119(8):1161-1169. PubMed ID: 30919992
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  • 37. 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; 38(5):354-8. PubMed ID: 23486323
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  • 38. The applicability of new TNM classification for humanpapilloma virus-related oropharyngeal cancer in the 8th edition of the AJCC/UICC TNM staging system in Japan: A single-centre study.
    Sano D, Yabuki K, Arai Y, Tanabe T, Chiba Y, Nishimura G, Takahashi H, Yamanaka S, Oridate N.
    Auris Nasus Larynx; 2018 Jun; 45(3):558-565. PubMed ID: 28760331
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  • 39. 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; 77(2):136-141. PubMed ID: 34857380
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