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Journal Abstract Search

303 related items for PubMed ID: 32512504

  • 1. 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; 129():109093. PubMed ID: 32512504
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  • 3. Predictive value of intravoxel incoherent motion combined with diffusion kurtosis imaging for breast cancer axillary lymph node metastasis: a retrospective study.
    Zhou Z, Chen Y, Zhao F, Sun Z, Zhu L, Yu H, Wang W.
    Acta Radiol; 2023 Mar; 64(3):951-961. PubMed ID: 35765225
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  • 5. 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
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  • 8. Does axillary lymph node size predict better metastatic involvement than apparent diffusion coefficient (ADC) value in women with newly diagnosed breast cancer?
    Ramírez-Galván YA, Cardona-Huerta S, Elizondo-Riojas G, Álvarez-Villalobos NA, Campos-Coy MA, Ferrara-Chapa CM.
    Acta Radiol; 2020 Nov; 61(11):1494-1504. PubMed ID: 32064890
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  • 9. 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; 34(9):6121-6131. PubMed ID: 38337068
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  • 11. 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
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  • 12. Adding contrast-enhanced ultrasound markers to conventional axillary ultrasound improves specificity for predicting axillary lymph node metastasis in patients with breast cancer.
    Du LW, Liu HL, Gong HY, Ling LJ, Wang S, Li CY, Zong M.
    Br J Radiol; 2021 Feb 01; 94(1118):20200874. PubMed ID: 32976019
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  • 13. Preoperative evaluation of pelvine lymph node metastasis in high risk prostate cancer with intravoxel incoherent motion (IVIM) MRI.
    Sauer M, Klene C, Kaul M, Quitzke A, Avanesov M, Behzadi C, Budäus L, Beyersdorff D, Adam G, Regier M.
    Eur J Radiol; 2018 Oct 01; 107():1-6. PubMed ID: 30292252
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  • 14. Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis.
    Ou X, Zhu J, Qu Y, Wang C, Wang B, Xu X, Wang Y, Wen H, Ma A, Liu X, Zou X, Wen Z.
    BMC Med Imaging; 2021 Dec 15; 21(1):193. PubMed ID: 34911489
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  • 15. Intravoxel incoherent motion diffusion-weighted MRI of invasive breast cancer: Correlation with prognostic factors and kinetic features acquired with computer-aided diagnosis.
    Song SE, Cho KR, Seo BK, Woo OH, Park KH, Son YH, Grimm R.
    J Magn Reson Imaging; 2019 Jan 15; 49(1):118-130. PubMed ID: 30238533
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  • 16. A two-center study of a combined nomogram based on mammography and MRI to predict ALN metastasis in breast cancer.
    Hua Y, Peng Q, Han J, Fei J, Sun A.
    Magn Reson Imaging; 2024 Jul 15; 110():128-137. PubMed ID: 38631535
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  • 17. 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 15; 26(11):2177-2182. PubMed ID: 33073463
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  • 18. Role of quantitative intravoxel incoherent motion parameters in the preoperative diagnosis of nodal metastasis in patients with rectal carcinoma.
    Qiu L, Liu XL, Liu SR, Weng ZP, Chen XQ, Feng YZ, Cai XR, Guo CY.
    J Magn Reson Imaging; 2016 Oct 15; 44(4):1031-9. PubMed ID: 27019309
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  • 19. MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer.
    Hong M, Fan S, Xu Z, Fang Z, Ling K, Lai P, Han C, Chen Z, Hou J, Liang Y, Zhou C, Wang J, Chen X, Huang Y, Xu M.
    J Transl Med; 2024 Sep 06; 22(1):826. PubMed ID: 39243024
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  • 20. Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Intra-peritumoral Textural Transition Analysis based on Dynamic Contrast-enhanced Magnetic Resonance Imaging.
    Zhan C, Hu Y, Wang X, Liu H, Xia L, Ai T.
    Acad Radiol; 2022 Jan 06; 29 Suppl 1():S107-S115. PubMed ID: 33712393
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