[1] Nass S J, HENDERSON C, LASHOF J C. Mammography and beyond:developing technologies for the early detection of breast cancer, 2001 [2] WEINREB J C, NEWSTEAD G. MR imaging of the breast. 1995 [3] KUHL C K. MRI of breast tumor, 2000 [4] Matsushima S, SASAKI F, KINOSADA Y. Saturation transfer ratio imaging in invasive ductal carcinomas of the breast. 2000. doi:10.1016/S0730-725X(99)00146-0 [5] YOKO A, HIROSHI F, TSUNEO I. Diagnostic utility of tumor vascularity on magnetic resonance imaging of the breast. 2000. doi:10.1016/S0730-725X(0)00174-0 [6] EDNA F H, HADSSA D. Parametric analysis of breast MRI. 2002. doi:10.1097/00004728-200205000-00012 [7] WHITE L N, SCHNALL M D, OREL S G. Breast MR imaging:interpretation model. 1997 [8] KUHL C K, MIELCARECK P, KLASCHIK S. Are signal time course data useful for differential diagnosis of enhancing lesions in dynamic breast MR imaging?, 1999 [9] HULKA C A, EDMISTER W B, SMITH B L. Dynamic echo-planar imaging of the breast:experience in diagnosing breast carcinoma and correlation with tumor angiogenesis, 1997 [10] WEISTEIN D, STRANO S, Cohen P. Breast fibroadenoma:mapping of pathophysiologic fentures with three-tme-point contrast-enhanced MR Imaging-pilot study. 1999 [11] STARITA A, La MANNA S, MAJIDI D. Magnetic resonance in mammography:a quantitative evaluation tool of contrast-enhanced magnetic resonance of the breast.Advances in medical signal and information processing, 2000 [12] KHATRI V P, STUPPINO J J, ESPINOSA M H. 3.0.CO, 2-6.aspx">A simple improved magnetic resonance imaging method. 2001. doi:10.1002/1097-0142(20010801)92:3<, 471::AID-CNCR1345>, 3.0.CO, 2-6 [13] LUCHT R E A, KNOPP M V, BRIX G. Classification of signal-time curves from dynamic MR mammography by neural networks. 2001. doi:10.1016/S0730-725X(1)00222-3 [14] LAWRENCE D B, JUNJI M, SADAYUKI M. Breast lesions:correlation of contrast medium enhancement patterns on MR imaging with histopathologic findings and tumor angiogenesis, 1996 [15] MURRAY A D, STAFF R T, REDPATH T W. Dynamic contrast enhanced MRI of the axilla in women with breast cancer:comparison with pathology of excised nodes. 2002(891) [16] DANIEL B L, YEN Y F, GLOVER G H. Breast disease:dynanmic spiral MR imaging. 1998 [17] Sinha S, LUCAS Q F A, SINHA U. In vivo diffusion-weighted MRI of the breast:potential for lesion characterzation. 2002(6). doi:10.1002/jmri.10116 [18] PARTRIDGE S C, MACKINNON G C, HENRY R G. Monstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI. 2001(4). doi:10.1002/jmri.1204 [19] Gao Y, CAI Y Q, Cai Z L. Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. 2002(2). doi:10.1002/jmri.10140 [20] KATZ BRULL R, LAVIN P T, LENKINSKI R E. Clinical utility of proton magnetic resonance spectroscopy in characterizing breast lesions. 2002 [21] MACKINNON W B, BARRY P A, MALYCHA P L. Fine-needle biopsy specimens of benign breast lesions distinguished from invasive cancer ex vivo with proton MR spectroscopy. 1997 [22] Kalra R, WADE K E, HANDS L. Phosphomnoester is associated with proliferation in human breast cancer:a 31P MRS study, 1993 [23] Joseph R, KIM M C, MITCHELL D S. Human breast lesions:characterization with proton MR spectroscopy. 1998 [24] TWEVELES C J, PORTER D A, DOBBS N A. Phosphorus-31 metabolism of human breast:an in vivo magnetic resonance spectroscopic study at 1.5 Tesla, 1994 |