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Journal Abstract Search

237 related items for PubMed ID: 32064890

  • 21. 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]

  • 22. 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; 48(3):134-9. PubMed ID: 23262788
    [Abstract] [Full Text] [Related]

  • 23. Axillary lymph node metastases in patients with breast carcinomas: assessment with nonenhanced versus uspio-enhanced MR imaging.
    Memarsadeghi M, Riedl CC, Kaneider A, Galid A, Rudas M, Matzek W, Helbich TH.
    Radiology; 2006 Nov; 241(2):367-77. PubMed ID: 17057065
    [Abstract] [Full Text] [Related]

  • 24. Diagnostic performance of standard breast MRI compared to dedicated axillary MRI for assessment of node-negative and node-positive breast cancer.
    Samiei S, Smidt ML, Vanwetswinkel S, Engelen SME, Schipper RJ, Lobbes MBI, van Nijnatten TJA.
    Eur Radiol; 2020 Aug; 30(8):4212-4222. PubMed ID: 32221685
    [Abstract] [Full Text] [Related]

  • 25. 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 Aug; 13(4):458-66. PubMed ID: 22778568
    [Abstract] [Full Text] [Related]

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  • 27. Meta analysis of lymph node metastasis of breast cancer patients: Clinical value of DWI and ADC value.
    Xing H, Song CL, Li WJ.
    Eur J Radiol; 2016 Jun; 85(6):1132-7. PubMed ID: 27161063
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  • 29. Investigation of synthetic MRI with quantitative parameters for discriminating axillary lymph nodes status in invasive breast cancer.
    Qu M, Feng W, Liu X, Li Z, Li Y, Lu X, Lei J.
    Eur J Radiol; 2024 Jun; 175():111452. PubMed ID: 38604092
    [Abstract] [Full Text] [Related]

  • 30. Diagnostic value of diffusion-weighted magnetic resonance imaging in discriminating between metastatic and non-metastatic pelvic lymph nodes in endometrial cancer.
    Arian A, Easa AM, Arab-Ahmadi M.
    Acta Radiol; 2020 Nov; 61(11):1580-1586. PubMed ID: 32106683
    [Abstract] [Full Text] [Related]

  • 31. Diagnostic accuracy of pre-operative breast magnetic resonance imaging (MRI) in predicting axillary lymph node metastasis: variations in intrinsic subtypes, and strategy to improve negative predictive value-an analysis of 2473 invasive breast cancer patients.
    Chen ST, Lai HW, Chang JH, Liao CY, Wen TC, Wu WP, Wu HK, Lin YJ, Chang YJ, Chen ST, Chen DR, Huang HI, Hung CL.
    Breast Cancer; 2023 Nov; 30(6):976-985. PubMed ID: 37500823
    [Abstract] [Full Text] [Related]

  • 32. Breast MRI for prediction of lymphovascular invasion in breast cancer patients with clinically negative axillary lymph nodes.
    Igarashi T, Furube H, Ashida H, Ojiri H.
    Eur J Radiol; 2018 Oct; 107():111-118. PubMed ID: 30292254
    [Abstract] [Full Text] [Related]

  • 33. 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; 56(8):917-23. PubMed ID: 25013091
    [Abstract] [Full Text] [Related]

  • 34. Discrimination of metastatic cervical lymph nodes with diffusion-weighted MR imaging in patients with head and neck cancer.
    Sumi M, Sakihama N, Sumi T, Morikawa M, Uetani M, Kabasawa H, Shigeno K, Hayashi K, Takahashi H, Nakamura T.
    AJNR Am J Neuroradiol; 2003 Sep; 24(8):1627-34. PubMed ID: 13679283
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  • 36. Simultaneous bilateral breast and high-resolution axillary MRI of patients with breast cancer: preliminary results.
    Luciani A, Dao TH, Lapeyre M, Schwarzinger M, Debaecque C, Lantieri L, Revelon G, Bouanane M, Kobeiter H, Rahmouni A.
    AJR Am J Roentgenol; 2004 Apr; 182(4):1059-67. PubMed ID: 15039188
    [Abstract] [Full Text] [Related]

  • 37. In vitro diagnosis of axillary lymph node metastases in breast cancer by spectrum analysis of radio frequency echo signals.
    Tateishi T, Machi J, Feleppa EJ, Oishi R, Jucha J, Yanagihara E, McCarthy LJ, Noritomi T, Shirouzu K.
    Ultrasound Med Biol; 1998 Oct; 24(8):1151-9. PubMed ID: 9833584
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  • 39. Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients.
    Buus TW, Sivesgaard K, Fris TL, Christiansen PM, Jensen AB, Pedersen EM.
    Eur J Radiol Open; 2020 Oct; 7():100284. PubMed ID: 33204769
    [Abstract] [Full Text] [Related]

  • 40. Metastatic axillary lymph node technetium-99m-MIBI imaging in primary breast cancer.
    Taillefer R, Robidoux A, Turpin S, Lambert R, Cantin J, Léveillé J.
    J Nucl Med; 1998 Mar; 39(3):459-64. PubMed ID: 9529292
    [Abstract] [Full Text] [Related]

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