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

PUBMED FOR HANDHELDS

Journal Abstract Search

278 related items for PubMed ID: 25491740

  • 1. Suspicious axillary lymph nodes identified on clinical breast MRI in patients newly diagnosed with breast cancer: can quantitative features improve discrimination of malignant from benign?
    Rahbar H, Conlin JL, Parsian S, DeMartini WB, Peacock S, Lehman CD, Partridge SC.
    Acad Radiol; 2015 Apr; 22(4):430-8. PubMed ID: 25491740
    [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. 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
    [Abstract] [Full Text] [Related]

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

  • 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
    [Abstract] [Full Text] [Related]

  • 6. Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients.
    Kim WH, Kim HJ, Lee SM, Cho SH, Shin KM, Lee SY, Lim JK.
    Cancer Imaging; 2019 Feb 01; 19(1):4. PubMed ID: 30709369
    [Abstract] [Full Text] [Related]

  • 7. Noninvasive nodal staging in patients with breast cancer using gadofosveset-enhanced magnetic resonance imaging: a feasibility study.
    Schipper RJ, Smidt ML, van Roozendaal LM, Castro CJ, de Vries B, Heuts EM, Keymeulen KB, Wildberger JE, Lobbes MB, Beets-Tan RG.
    Invest Radiol; 2013 Mar 01; 48(3):134-9. PubMed ID: 23262788
    [Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9.
    ; . PubMed ID:
    [No 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.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15. Assessment of multifocality and axillary nodal involvement in early-stage breast cancer patients using 18F-FDG PET/CT compared to contrast-enhanced and diffusion-weighted magnetic resonance imaging and sentinel node biopsy.
    Ergul N, Kadioglu H, Yildiz S, Yucel SB, Gucin Z, Erdogan EB, Aydin M, Muslumanoglu M.
    Acta Radiol; 2015 Aug 01; 56(8):917-23. PubMed ID: 25013091
    [Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

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

    Page: [Next] [New Search]
    of 14.