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Journal Abstract Search

485 related items for PubMed ID: 24907855

  • 1. Diagnostic performance of apparent diffusion coefficient and quantitative kinetic parameters for predicting additional malignancy in patients with newly diagnosed breast cancer.
    Yoo H, Shin HJ, Baek S, Cha JH, Kim H, Chae EY, Kim HH.
    Magn Reson Imaging; 2014 Sep; 32(7):867-74. PubMed ID: 24907855
    [Abstract] [Full Text] [Related]

  • 2. Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: comparison with conventional DWI.
    Liu C, Liang C, Liu Z, Zhang S, Huang B.
    Eur J Radiol; 2013 Dec; 82(12):e782-9. PubMed ID: 24034833
    [Abstract] [Full Text] [Related]

  • 3. Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size.
    Partridge SC, Mullins CD, Kurland BF, Allain MD, DeMartini WB, Eby PR, Lehman CD.
    AJR Am J Roentgenol; 2010 Jun; 194(6):1664-73. PubMed ID: 20489111
    [Abstract] [Full Text] [Related]

  • 4. Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.
    Yabuuchi H, Matsuo Y, Okafuji T, Kamitani T, Soeda H, Setoguchi T, Sakai S, Hatakenaka M, Kubo M, Sadanaga N, Yamamoto H, Honda H.
    J Magn Reson Imaging; 2008 Nov; 28(5):1157-65. PubMed ID: 18972357
    [Abstract] [Full Text] [Related]

  • 5. Comparison of the diagnostic performances of diffusion parameters in diffusion weighted imaging and diffusion tensor imaging of breast lesions.
    Cakir O, Arslan A, Inan N, Anık Y, Sarısoy T, Gumustas S, Akansel G.
    Eur J Radiol; 2013 Dec; 82(12):e801-6. PubMed ID: 24099642
    [Abstract] [Full Text] [Related]

  • 6. Differentiation of malignant from benign focal splenic lesions: added value of diffusion-weighted MRI.
    Jang KM, Kim SH, Hwang J, Lee SJ, Kang TW, Lee MW, Choi D.
    AJR Am J Roentgenol; 2014 Oct; 203(4):803-12. PubMed ID: 25247945
    [Abstract] [Full Text] [Related]

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  • 8. Non-mass-like enhancement on contrast-enhanced breast MR imaging: lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.
    Yabuuchi H, Matsuo Y, Kamitani T, Setoguchi T, Okafuji T, Soeda H, Sakai S, Hatakenaka M, Kubo M, Tokunaga E, Yamamoto H, Honda H.
    Eur J Radiol; 2010 Jul; 75(1):e126-32. PubMed ID: 19796900
    [Abstract] [Full Text] [Related]

  • 9. Improving malignancy prediction in breast lesions with the combination of apparent diffusion coefficient and dynamic contrast-enhanced kinetic descriptors.
    Nogueira L, Brandão S, Matos E, Gouveia Nunes R, Ferreira HA, Loureiro J, Ramos I.
    Clin Radiol; 2015 Sep; 70(9):1016-25. PubMed ID: 26135541
    [Abstract] [Full Text] [Related]

  • 10. Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: the influence of the choice of b-values.
    Peters NH, Vincken KL, van den Bosch MA, Luijten PR, Mali WP, Bartels LW.
    J Magn Reson Imaging; 2010 May; 31(5):1100-5. PubMed ID: 20432344
    [Abstract] [Full Text] [Related]

  • 11. Differentiation between benign and malignant breast lesions using quantitative diffusion-weighted sequence on 3 T MRI.
    Tan SL, Rahmat K, Rozalli FI, Mohd-Shah MN, Aziz YF, Yip CH, Vijayananthan A, Ng KH.
    Clin Radiol; 2014 Jan; 69(1):63-71. PubMed ID: 24156797
    [Abstract] [Full Text] [Related]

  • 12. Diffusion weighted imaging of liver lesions suspect for metastases: Apparent diffusion coefficient (ADC) values and lesion contrast are independent from Gd-EOB-DTPA administration.
    Benndorf M, Schelhorn J, Dietzel M, Kaiser WA, Baltzer PA.
    Eur J Radiol; 2012 Aug; 81(8):e849-53. PubMed ID: 22575171
    [Abstract] [Full Text] [Related]

  • 13. Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3 T.
    Lo GG, Ai V, Chan JK, Li KW, Cheung PS, Wong TT, Ma M, Lee R, Chien D.
    J Comput Assist Tomogr; 2009 Aug; 33(1):63-9. PubMed ID: 19188787
    [Abstract] [Full Text] [Related]

  • 14. Classification of breast mass lesions using model-based analysis of the characteristic kinetic curve derived from fuzzy c-means clustering.
    Chang YC, Huang YH, Huang CS, Chang PK, Chen JH, Chang RF.
    Magn Reson Imaging; 2012 Apr; 30(3):312-22. PubMed ID: 22245697
    [Abstract] [Full Text] [Related]

  • 15. Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy.
    Hahn SY, Ko EY, Han BK, Shin JH, Ko ES.
    Eur J Radiol; 2014 Feb; 83(2):283-8. PubMed ID: 24315957
    [Abstract] [Full Text] [Related]

  • 16. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
    Chen W, Giger ML, Bick U, Newstead GM.
    Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864
    [Abstract] [Full Text] [Related]

  • 17. Assessment of tumor morphology on diffusion-weighted (DWI) breast MRI: Diagnostic value of reduced field of view DWI.
    Barentsz MW, Taviani V, Chang JM, Ikeda DM, Miyake KK, Banerjee S, van den Bosch MA, Hargreaves BA, Daniel BL.
    J Magn Reson Imaging; 2015 Dec; 42(6):1656-65. PubMed ID: 25914178
    [Abstract] [Full Text] [Related]

  • 18. Diffusion-weighted breast imaging at 3 T: preliminary experience.
    Nogueira L, Brandão S, Matos E, Nunes RG, Ferreira HA, Loureiro J, Ramos I.
    Clin Radiol; 2014 Apr; 69(4):378-84. PubMed ID: 24360516
    [Abstract] [Full Text] [Related]

  • 19. Characterization of Liver Tumors by Diffusion-Weighted Imaging: Comparison of Diagnostic Performance Using the Mean and Minimum Apparent Diffusion Coefficient.
    Namimoto T, Nakagawa M, Kizaki Y, Itatani R, Kidoh M, Utsunomiya D, Oda S, Yamashita Y.
    J Comput Assist Tomogr; 2015 Apr; 39(4):453-61. PubMed ID: 25836022
    [Abstract] [Full Text] [Related]

  • 20. 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]

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