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Journal Abstract Search

501 related items for PubMed ID: 31422573

  • 1. Usefulness of preoperative breast magnetic resonance imaging with a dedicated axillary sequence for the detection of axillary lymph node metastasis in patients with early ductal breast cancer.
    Ahn HS, Jang M, Kim SM, La Yun B, Lee SH.
    Radiol Med; 2019 Dec; 124(12):1220-1228. PubMed ID: 31422573
    [Abstract] [Full Text] [Related]

  • 2. False negative results in axillary lymph nodes by ultrasonography and ultrasonography-guided fine-needle aspiration in patients with invasive ductal carcinoma.
    Park SH, Kim EK, Park BW, Kim SI, Moon HJ, Kim MJ.
    Ultraschall Med; 2013 Dec; 34(6):559-67. PubMed ID: 23258771
    [Abstract] [Full Text] [Related]

  • 3. Impact of preoperative ultrasonography and fine-needle aspiration of axillary lymph nodes on surgical management of primary breast cancer.
    Park SH, Kim MJ, Park BW, Moon HJ, Kwak JY, Kim EK.
    Ann Surg Oncol; 2011 Mar; 18(3):738-44. PubMed ID: 20890729
    [Abstract] [Full Text] [Related]

  • 4. 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]

  • 5. Routine use of standard breast MRI compared to axillary ultrasound for differentiating between no, limited and advanced axillary nodal disease in newly diagnosed breast cancer patients.
    van Nijnatten TJA, Ploumen EH, Schipper RJ, Goorts B, Andriessen EH, Vanwetswinkel S, Schavemaker M, Nelemans P, de Vries B, Beets-Tan RGH, Smidt ML, Lobbes MBI.
    Eur J Radiol; 2016 Dec; 85(12):2288-2294. PubMed ID: 27842679
    [Abstract] [Full Text] [Related]

  • 6. Predictive Value of 18F-FDG PET/CT for Axillary Lymph Node Metastasis in Invasive Ductal Breast Cancer.
    Song BI, Kim HW, Won KS.
    Ann Surg Oncol; 2017 Aug; 24(8):2174-2181. PubMed ID: 28432480
    [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. Prediction of Advanced Axillary Lymph Node Metastases (ypN2-3) Using Breast MR imaging and PET/CT after Neoadjuvant Chemotherapy in Invasive Ductal Carcinoma Patients.
    Kim WH, Lee SW, Kim HJ, Chae YS, Jeong SY, Jung JH, Park HY, Lee WK.
    Sci Rep; 2018 Feb 16; 8(1):3181. PubMed ID: 29453385
    [Abstract] [Full Text] [Related]

  • 9. Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences.
    Chai R, Ma H, Xu M, Arefan D, Cui X, Liu Y, Zhang L, Wu S, Xu K.
    J Magn Reson Imaging; 2019 Oct 16; 50(4):1125-1132. PubMed ID: 30848041
    [Abstract] [Full Text] [Related]

  • 10. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y, He Z, Ouyang J, Tan Y, Chen Y, Gu Y, Mao L, Ren W, Wang J, Lin L, Wu Z, Liu J, Ou Q, Hu Q, Li A, Chen K, Li C, Lu N, Li X, Su F, Liu Q, Xie C, Yao H.
    EBioMedicine; 2021 Jul 16; 69():103460. PubMed ID: 34233259
    [Abstract] [Full Text] [Related]

  • 11. 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 16; 48(3):134-9. PubMed ID: 23262788
    [Abstract] [Full Text] [Related]

  • 12. Magnetic resonance imaging features for predicting axillary lymph node metastasis in patients with breast cancer.
    Zhao M, Wu Q, Guo L, Zhou L, Fu K.
    Eur J Radiol; 2020 Aug 16; 129():109093. PubMed ID: 32512504
    [Abstract] [Full Text] [Related]

  • 13. Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography.
    Wang Q, Lin Y, Ding C, Guan W, Zhang X, Jia J, Zhou W, Liu Z, Bai G.
    Eur Radiol; 2024 Sep 16; 34(9):6121-6131. PubMed ID: 38337068
    [Abstract] [Full Text] [Related]

  • 14. Preoperative axillary lymph node evaluation in breast cancer patients by breast magnetic resonance imaging (MRI): Can breast MRI exclude advanced nodal disease?
    Hyun SJ, Kim EK, Moon HJ, Yoon JH, Kim MJ.
    Eur Radiol; 2016 Nov 16; 26(11):3865-3873. PubMed ID: 26843011
    [Abstract] [Full Text] [Related]

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  • 16. 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 16; 26(5):628-636. PubMed ID: 30937834
    [Abstract] [Full Text] [Related]

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  • 18. Revisit the practice of lymph node biopsy in patients diagnosed as ductal carcinoma in situ before operation: a retrospective analysis of 682 cases and evaluation of the role of breast MRI.
    Lai HW, Chang YL, Chen ST, Chang YJ, Wu WP, Chen DR, Kuo SJ, Liao CY, Wu HK.
    World J Surg Oncol; 2021 Sep 01; 19(1):263. PubMed ID: 34470633
    [Abstract] [Full Text] [Related]

  • 19. 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 01; 63(4):447-457. PubMed ID: 33779304
    [Abstract] [Full Text] [Related]

  • 20. 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 01; 275(2):345-55. PubMed ID: 25513854
    [Abstract] [Full Text] [Related]

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