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Journal Abstract Search

499 related items for PubMed ID: 28139036

  • 21.
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  • 23. Diffusion-weighted imaging and (18) F-fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: Correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors.
    Karan B, Pourbagher A, Torun N.
    J Magn Reson Imaging; 2016 Jun; 43(6):1434-44. PubMed ID: 26663655
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  • 24. Histogram analysis of diffusion kurtosis imaging in the differentiation of malignant from benign breast lesions.
    Liu W, Wei C, Bai J, Gao X, Zhou L.
    Eur J Radiol; 2019 Aug; 117():156-163. PubMed ID: 31307642
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  • 25. Intravoxel Incoherent Motion and Quantitative Non-Gaussian Diffusion MR Imaging: Evaluation of the Diagnostic and Prognostic Value of Several Markers of Malignant and Benign Breast Lesions.
    Iima M, Kataoka M, Kanao S, Onishi N, Kawai M, Ohashi A, Sakaguchi R, Toi M, Togashi K.
    Radiology; 2018 May; 287(2):432-441. PubMed ID: 29095673
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  • 27. Evaluation of suspicious breast lesions with diffusion kurtosis MR imaging and connection with prognostic factors.
    Yang ZL, Li Y, Zhan CA, Hu YQ, Guo YH, Xia LM, Ai T.
    Eur J Radiol; 2021 Dec; 145():110014. PubMed ID: 34749223
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  • 30. Differentiation of central gland prostate cancer from benign prostatic hyperplasia using monoexponential and biexponential diffusion-weighted imaging.
    Liu X, Zhou L, Peng W, Wang C, Wang H.
    Magn Reson Imaging; 2013 Oct; 31(8):1318-24. PubMed ID: 23791546
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  • 31. Diffusion-weighted MRI of breast lesions: a prospective clinical investigation of the quantitative imaging biomarker characteristics of reproducibility, repeatability, and diagnostic accuracy.
    Spick C, Bickel H, Pinker K, Bernathova M, Kapetas P, Woitek R, Clauser P, Polanec SH, Rudas M, Bartsch R, Helbich TH, Baltzer PA.
    NMR Biomed; 2016 Oct; 29(10):1445-53. PubMed ID: 27553252
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  • 32. Evaluation of breast cancer malignancy, prognostic factors and molecular subtypes using a continuous-time random-walk MR diffusion model.
    Chang H, Wang D, Li Y, Xiang S, Yang YX, Kong P, Fang C, Ming L, Wang X, Zhang C, Jia W, Yan Q, Liu X, Zeng Q.
    Eur J Radiol; 2023 Sep; 166():111003. PubMed ID: 37506477
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  • 34. Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.
    Pinker K, Moy L, Sutton EJ, Mann RM, Weber M, Thakur SB, Jochelson MS, Bago-Horvath Z, Morris EA, Baltzer PA, Helbich TH.
    Invest Radiol; 2018 Oct; 53(10):587-595. PubMed ID: 29620604
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  • 35. 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; 49(3):864-874. PubMed ID: 30375702
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  • 36. Diffusion kurtosis imaging for differentiating borderline from malignant epithelial ovarian tumors: A correlation with Ki-67 expression.
    Li HM, Zhao SH, Qiang JW, Zhang GF, Feng F, Ma FH, Li YA, Gu WY.
    J Magn Reson Imaging; 2017 Nov; 46(5):1499-1506. PubMed ID: 28295854
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  • 37. Histogram analysis of apparent diffusion coefficient at 3.0 T in urinary bladder lesions: correlation with pathologic findings.
    Suo ST, Chen XX, Fan Y, Wu LM, Yao QY, Cao MQ, Liu Q, Xu JR.
    Acad Radiol; 2014 Aug; 21(8):1027-34. PubMed ID: 24833566
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  • 40. Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer.
    Roethke MC, Kuder TA, Kuru TH, Fenchel M, Hadaschik BA, Laun FB, Schlemmer HP, Stieltjes B.
    Invest Radiol; 2015 Aug; 50(8):483-9. PubMed ID: 25867657
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