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Journal Abstract Search

238 related items for PubMed ID: 25072504

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  • 2. Diffusion weighted images of metastatic as compared with nonmetastatic axillary lymph nodes in patients with newly diagnosed breast cancer.
    Yamaguchi K, Schacht D, Nakazono T, Irie H, Abe H.
    J Magn Reson Imaging; 2015 Sep; 42(3):771-8. PubMed ID: 25556886
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  • 5. Assessment of axillary lymph nodes in patients with breast cancer with diffusion-weighted MR imaging in combination with routine and dynamic contrast MR imaging.
    Razek AA, Lattif MA, Denewer A, Farouk O, Nada N.
    Breast Cancer; 2016 May; 23(3):525-32. PubMed ID: 25763535
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  • 7. Diagnostic Performance of Fused Diffusion-Weighted Imaging Using T1-Weighted Imaging for Axillary Nodal Staging in Patients With Early Breast Cancer.
    Kim SH, Shin HJ, Shin KC, Chae EY, Choi WJ, Cha JH, Kim HH.
    Clin Breast Cancer; 2017 Apr; 17(2):154-163. PubMed ID: 27843006
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  • 9. MRI-based predictive factors of axillary lymph node status in breast cancer.
    Atallah D, Moubarak M, Arab W, El Kassis N, Chahine G, Salem C.
    Breast J; 2020 Nov; 26(11):2177-2182. PubMed ID: 33073463
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  • 11. Differentiation of benign and metastatic axillary lymph nodes in breast cancer: additive value of MRI computer-aided evaluation.
    Yun SJ, Sohn YM, Seo M.
    Clin Radiol; 2016 Apr; 71(4):403.e1-7. PubMed ID: 26875621
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  • 12. Diagnostic value of diffusion-weighted magnetic resonance imaging: differentiation of benign and malignant lymph nodes in different regions of the body.
    Seber T, Caglar E, Uylar T, Karaman N, Aktas E, Aribas BK.
    Clin Imaging; 2015 Apr; 39(5):856-62. PubMed ID: 26091745
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  • 14. Diffusion-weighted magnetic resonance imaging in the characterization of axillary lymph nodes in patients with breast cancer.
    Fornasa F, Nesoti MV, Bovo C, Bonavina MG.
    J Magn Reson Imaging; 2012 Oct; 36(4):858-64. PubMed ID: 22648570
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  • 16. Differential diagnosis of axillary inflammatory and metastatic lymph nodes in rabbit models by using diffusion-weighted imaging: compared with conventional magnetic resonance imaging.
    Wang J, Liao Q, Zhang Y, Yu C, Bai R, Sun H.
    Korean J Radiol; 2012 Oct; 13(4):458-66. PubMed ID: 22778568
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  • 17. Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer.
    Liu Y, Luo H, Wang C, Chen X, Wang M, Zhou P, Ren J.
    Acta Radiol; 2022 Apr; 63(4):447-457. PubMed ID: 33779304
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  • 18. Early-stage invasive ductal carcinoma: Association of tumor apparent diffusion coefficient values with axillary lymph node metastasis.
    Kim JY, Seo HB, Park S, Moon JI, Lee JW, Lee NK, Lee SW, Bae YT.
    Eur J Radiol; 2015 Nov; 84(11):2137-43. PubMed ID: 26318821
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  • 19. Evaluation of the diagnostic performance of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in differentiating between benign and metastatic lymph nodes in cases of cholangiocarcinoma.
    Promsorn J, Soontrapa W, Somsap K, Chamadol N, Limpawattana P, Harisinghani M.
    Abdom Radiol (NY); 2019 Feb; 44(2):473-481. PubMed ID: 30151713
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  • 20. Preoperative axillary staging with 3.0-T breast MRI: clinical value of diffusion imaging and apparent diffusion coefficient.
    Rautiainen S, Könönen M, Sironen R, Masarwah A, Sudah M, Hakumäki J, Vanninen R, Sutela A.
    PLoS One; 2015 Feb; 10(3):e0122516. PubMed ID: 25823016
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