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Journal Abstract Search

382 related items for PubMed ID: 19696298

  • 1. MRI-detected suspicious breast lesions: predictive values of kinetic features measured by computer-aided evaluation.
    Wang LC, DeMartini WB, Partridge SC, Peacock S, Lehman CD.
    AJR Am J Roentgenol; 2009 Sep; 193(3):826-31. PubMed ID: 19696298
    [Abstract] [Full Text] [Related]

  • 2. Breast MR imaging: computer-aided evaluation program for discriminating benign from malignant lesions.
    Williams TC, DeMartini WB, Partridge SC, Peacock S, Lehman CD.
    Radiology; 2007 Jul; 244(1):94-103. PubMed ID: 17507720
    [Abstract] [Full Text] [Related]

  • 3. Central washout sign in computer-aided evaluation of breast MRI: preliminary results.
    Ko ES, Choi HY, Lee BH, Noh WC, Kim RB.
    Acta Radiol; 2011 Apr 01; 52(3):256-63. PubMed ID: 21498360
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  • 4. Characteristics of probably benign breast MRI lesions.
    Eby PR, DeMartini WB, Gutierrez RL, Saini MH, Peacock S, Lehman CD.
    AJR Am J Roentgenol; 2009 Sep 01; 193(3):861-7. PubMed ID: 19696303
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  • 6. Use of dynamic phase subtraction (DPS) map in dynamic contrast-enhanced MRI of the breast.
    Ogura A, Hayakawa K, Yoshida S, Maeda F, Saeki F, Syukutani A.
    J Comput Assist Tomogr; 2011 Sep 01; 35(6):749-52. PubMed ID: 22082548
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  • 8. False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study.
    Baltzer PA, Benndorf M, Dietzel M, Gajda M, Runnebaum IB, Kaiser WA.
    AJR Am J Roentgenol; 2010 Jun 01; 194(6):1658-63. PubMed ID: 20489110
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  • 9. High-spatial-resolution 3-T breast MRI of nonmasslike enhancement lesions: an analysis of their features as significant predictors of malignancy.
    Uematsu T, Kasami M.
    AJR Am J Roentgenol; 2012 May 01; 198(5):1223-30. PubMed ID: 22528918
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  • 10. Can breast MRI computer-aided detection (CAD) improve radiologist accuracy for lesions detected at MRI screening and recommended for biopsy in a high-risk population?
    Arazi-Kleinman T, Causer PA, Jong RA, Hill K, Warner E.
    Clin Radiol; 2009 Dec 01; 64(12):1166-74. PubMed ID: 19913125
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  • 11. Dynamic bilateral contrast-enhanced MR imaging of the breast: trade-off between spatial and temporal resolution.
    Kuhl CK, Schild HH, Morakkabati N.
    Radiology; 2005 Sep 01; 236(3):789-800. PubMed ID: 16118161
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  • 12. Computer-aided diagnosis of breast DCE-MRI using pharmacokinetic model and 3-D morphology analysis.
    Wang TC, Huang YH, Huang CS, Chen JH, Huang GY, Chang YC, Chang RF.
    Magn Reson Imaging; 2014 Apr 01; 32(3):197-205. PubMed ID: 24439361
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  • 14. Computer-aided diagnosis in breast DCE-MRI--quantification of the heterogeneity of breast lesions.
    Preim U, Glaßer S, Preim B, Fischbach F, Ricke J.
    Eur J Radiol; 2012 Jul 01; 81(7):1532-8. PubMed ID: 21570225
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  • 16. Suspicious breast lesions detected at 3.0 T magnetic resonance imaging: clinical and histological outcomes.
    Johnson KS, Baker JA, Lee SS, Soo MS.
    Acad Radiol; 2012 Jun 01; 19(6):667-74. PubMed ID: 22459645
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  • 18. Assessing the degree of collinearity among the lesion features of the MRI BI-RADS lexicon.
    Benndorf M, Baltzer PA, Kaiser WA.
    Eur J Radiol; 2011 Dec 01; 80(3):e322-4. PubMed ID: 21193277
    [Abstract] [Full Text] [Related]

  • 19. 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 01; 33(8):2878-87. PubMed ID: 16964864
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  • 20. Characterization of breast lesions with CE-MR multimodal morphological and kinetic analysis: comparison with conventional mammography and high-resolution ultrasound.
    Vassiou K, Kanavou T, Vlychou M, Poultsidi A, Athanasiou E, Arvanitis DL, Fezoulidis IV.
    Eur J Radiol; 2009 Apr 01; 70(1):69-76. PubMed ID: 18295425
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