These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Journal Abstract Search


355 related items for PubMed ID: 30444286

  • 1. Diffusion-weighted MR imaging increases diagnostic accuracy of breast MR imaging for predicting axillary metastases in breast cancer patients.
    Guvenc I, Whitman GJ, Liu P, Yalniz C, Ma J, Dogan BE.
    Breast J; 2019 Jan; 25(1):47-55. PubMed ID: 30444286
    [Abstract] [Full Text] [Related]

  • 2. Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer.
    Chung J, Youk JH, Kim JA, Gweon HM, Kim EK, Ryu YH, Son EJ.
    Acta Radiol; 2014 Oct; 55(8):909-16. PubMed ID: 24234236
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in breast cancer patients.
    Luo N, Su D, Jin G, Liu L, Zhu X, Xie D, Liu Y.
    J Magn Reson Imaging; 2013 Oct; 38(4):824-8. PubMed ID: 23440958
    [Abstract] [Full Text] [Related]

  • 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
    [Abstract] [Full Text] [Related]

  • 8. Predicting metastasis in clinically negative axillary lymph nodes with minimum apparent diffusion coefficient value in luminal A-like breast cancer.
    Kato F, Kudo K, Yamashita H, Baba M, Shimizu A, Oyama-Manabe N, Kinoshita R, Li R, Shirato H.
    Breast Cancer; 2019 Sep; 26(5):628-636. PubMed ID: 30937834
    [Abstract] [Full Text] [Related]

  • 9. Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging in characterization of axillary lymph nodes: Preliminary animal experience.
    Zhu Y, Li X, Wang F, Zhang J, Li W, Ma Y, Qi J, Ren S, Ye Z.
    Magn Reson Imaging; 2018 Oct; 52():46-52. PubMed ID: 29852212
    [Abstract] [Full Text] [Related]

  • 10.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14. Detection of axillary lymph node metastasis with diffusion-weighted MR imaging.
    Iima M, Kataoka M, Okumura R, Togashi K.
    Clin Imaging; 2014 Oct; 38(5):633-6. PubMed ID: 24908365
    [Abstract] [Full Text] [Related]

  • 15. Diffusion tensor imaging and diffusion-weighted imaging on axillary lymph node status in breast cancer patients.
    Kurt N, Binboga Kurt B, Gulsaran U, Uslu B, Celik AO, Sut N, Tastekin E, Karabulut D, Tuncbilek N.
    Diagn Interv Radiol; 2022 Jul; 28(4):329-336. PubMed ID: 35950277
    [Abstract] [Full Text] [Related]

  • 16. Diagnostic Performance of Dedicated Axillary T2- and Diffusion-weighted MR Imaging for Nodal Staging in Breast Cancer.
    Schipper RJ, Paiman ML, Beets-Tan RG, Nelemans PJ, de Vries B, Heuts EM, van de Vijver KK, Keymeulen KB, Brans B, Smidt ML, Lobbes MB.
    Radiology; 2015 May; 275(2):345-55. PubMed ID: 25513854
    [Abstract] [Full Text] [Related]

  • 17. Improving lymph node characterization in staging malignant lymphoma using first-order ADC texture analysis from whole-body diffusion-weighted MRI.
    De Paepe KN, De Keyzer F, Wolter P, Bechter O, Dierickx D, Janssens A, Verhoef G, Oyen R, Vandecaveye V.
    J Magn Reson Imaging; 2018 Oct; 48(4):897-906. PubMed ID: 29656584
    [Abstract] [Full Text] [Related]

  • 18. 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 Oct; 10(3):e0122516. PubMed ID: 25823016
    [Abstract] [Full Text] [Related]

  • 19. 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
    [Abstract] [Full Text] [Related]

  • 20.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]


    Page: [Next] [New Search]
    of 18.