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Journal Abstract Search

648 related items for PubMed ID: 28181343

  • 1. Apparent diffusion coefficient values may help predict which MRI-detected high-risk breast lesions will upgrade at surgical excision.
    Cheeney S, Rahbar H, Dontchos BN, Javid SH, Rendi MH, Partridge SC.
    J Magn Reson Imaging; 2017 Oct; 46(4):1028-1036. PubMed ID: 28181343
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  • 2. Diffusion tensor imaging for characterizing tumor microstructure and improving diagnostic performance on breast MRI: a prospective observational study.
    Luo J, Hippe DS, Rahbar H, Parsian S, Rendi MH, Partridge SC.
    Breast Cancer Res; 2019 Sep 04; 21(1):102. PubMed ID: 31484577
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  • 3. Value of breast MRI for patients with a biopsy showing atypical ductal hyperplasia (ADH).
    Tsuchiya K, Mori N, Schacht DV, Sheth D, Karczmar GS, Newstead GM, Abe H.
    J Magn Reson Imaging; 2017 Dec 04; 46(6):1738-1747. PubMed ID: 28295791
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  • 4. Multiparametric MRI model with dynamic contrast-enhanced and diffusion-weighted imaging enables breast cancer diagnosis with high accuracy.
    Zhang M, Horvat JV, Bernard-Davila B, Marino MA, Leithner D, Ochoa-Albiztegui RE, Helbich TH, Morris EA, Thakur S, Pinker K.
    J Magn Reson Imaging; 2019 Mar 04; 49(3):864-874. PubMed ID: 30375702
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  • 10. Atypical ductal hyperplasia: breast DCE-MRI can be used to reduce unnecessary open surgical excision.
    Bertani V, Urbani M, La Grassa M, Balestreri L, Berger N, Frauenfelder T, Boss A, Marcon M.
    Eur Radiol; 2020 Jul 04; 30(7):4069-4081. PubMed ID: 32144463
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  • 11. Intravoxel incoherent motion diffusion-weighted imaging as an adjunct to dynamic contrast-enhanced MRI to improve accuracy of the differential diagnosis of benign and malignant breast lesions.
    Ma D, Lu F, Zou X, Zhang H, Li Y, Zhang L, Chen L, Qin D, Wang B.
    Magn Reson Imaging; 2017 Feb 04; 36():175-179. PubMed ID: 27742437
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  • 12. The Role of Combined Diffusion-Weighted Imaging and Dynamic Contrast-Enhanced MRI for Differentiating Malignant From Benign Breast Lesions Presenting Washout Curve.
    Tezcan S, Ozturk FU, Uslu N, Akcay EY.
    Can Assoc Radiol J; 2021 Aug 04; 72(3):460-469. PubMed ID: 32157892
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  • 13. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
    Tahmassebi A, Wengert GJ, Helbich TH, Bago-Horvath Z, Alaei S, Bartsch R, Dubsky P, Baltzer P, Clauser P, Kapetas P, Morris EA, Meyer-Baese A, Pinker K.
    Invest Radiol; 2019 Feb 04; 54(2):110-117. PubMed ID: 30358693
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  • 14. Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.
    Horvat JV, Bernard-Davila B, Helbich TH, Zhang M, Morris EA, Thakur SB, Ochoa-Albiztegui RE, Leithner D, Marino MA, Baltzer PA, Clauser P, Kapetas P, Bago-Horvath Z, Pinker K.
    J Magn Reson Imaging; 2019 Sep 04; 50(3):836-846. PubMed ID: 30811717
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  • 19. How to manage type 2 curve dilemma in dynamic contrast-enhanced magnetic resonance imaging of the breast: diffusion-weighted imaging or early phase enhancement kinetics?
    Ulu Öztürk F, Tezcan Ş, Uslu N.
    Acta Radiol; 2024 Apr 04; 65(4):341-349. PubMed ID: 38193154
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