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Journal Abstract Search

228 related items for PubMed ID: 38012604

  • 21. 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
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  • 24. 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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  • 25. 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; 82(2):245-51. PubMed ID: 23992878
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  • 27. Feasibility of iodine concentration and extracellular volume fraction measurement derived from the equilibrium phase dual-energy CT for differentiating thymic epithelial tumors.
    Takumi K, Nagano H, Myogasako T, Nakano T, Fukukura Y, Ueda K, Tabata K, Tanimoto A, Yoshiura T.
    Jpn J Radiol; 2023 Jan; 41(1):45-53. PubMed ID: 36029365
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  • 28. Value of CT spectral imaging in the differential diagnosis of thymoma and mediastinal lymphoma.
    Xie Y, Zhang S, Liu J, Liang X, Zhang X, Zhang Y, Zhang Z, Zhou J.
    Br J Radiol; 2019 Mar; 92(1095):20180598. PubMed ID: 30507309
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  • 29. 18F-FDG PET/CT of thymic epithelial tumors: usefulness for distinguishing and staging tumor subgroups.
    Sung YM, Lee KS, Kim BT, Choi JY, Shim YM, Yi CA.
    J Nucl Med; 2006 Oct; 47(10):1628-34. PubMed ID: 17015898
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  • 31. The utility of [18F]-fluorodeoxyglucose positron emission tomography-computed tomography in thymic epithelial tumours.
    Fukumoto K, Taniguchi T, Ishikawa Y, Kawaguchi K, Fukui T, Kato K, Matsuo K, Yokoi K.
    Eur J Cardiothorac Surg; 2012 Dec; 42(6):e152-6. PubMed ID: 23024234
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  • 32. Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters.
    Li B, Xin YK, Xiao G, Li GF, Duan SJ, Han Y, Feng XL, Yan WQ, Rong WC, Wang SM, Hu YC, Cui GB.
    Eur Radiol; 2019 Oct; 29(10):5330-5340. PubMed ID: 30877464
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  • 34. Differential diagnosis of thymic epithelial neoplasms on computed tomography using the diameter of the thymic vein.
    Sakamoto N, Kurokawa R, Watadani T, Morikawa T, Nakaya M, Cho S, Fujita N, Kamio S, Koyama H, Suzuki S, Yamada H, Abe O, Gonoi W.
    Medicine (Baltimore); 2021 Nov 19; 100(46):e27942. PubMed ID: 34797351
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  • 35. Using the World Health Organization Classification of thymic epithelial neoplasms to describe CT findings.
    Tomiyama N, Johkoh T, Mihara N, Honda O, Kozuka T, Koyama M, Hamada S, Okumura M, Ohta M, Eimoto T, Miyagawa M, Müller NL, Ikezoe J, Nakamura H.
    AJR Am J Roentgenol; 2002 Oct 19; 179(4):881-6. PubMed ID: 12239030
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  • 36. 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
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  • 37. Prognostic CT features in patients with untreated thymic epithelial tumors.
    Dai H, Lan B, Li S, Huang Y, Jiang G, Tian J.
    Sci Rep; 2023 Feb 19; 13(1):2910. PubMed ID: 36801902
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  • 39. The values of systemic immune-inflammation index and neutrophil-lymphocyte ratio in predicting testicular germ cell tumors: A retrospective clinical study.
    Wang S, Yang X, Yu Z, Du P, Cao Y, Ji Y, Ma J, Yang Y.
    Front Oncol; 2022 Feb 19; 12():893877. PubMed ID: 36185298
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  • 40. 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 19; 91(1083):20170546. PubMed ID: 29182373
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