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Items: 1 to 20 of 408

1.

Angle between 1 and 4 min gives the most significant difference in time-intensity curves between benign disease and breast cancer: analysis of dynamic magnetic resonance imaging in 103 patients with breast lesions.

Hara M, Watanabe T, Okumura A, Kato K, Mohri N, Ishikawa M, Mizuno A, Takeyama H.

Clin Imaging. 2009 Sep-Oct;33(5):335-42. doi: 10.1016/j.clinimag.2008.12.001.

PMID:
19712811
2.

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. doi: 10.1002/jmri.21570.

PMID:
18972357
3.

Three-phase dynamic breast magnetic resonance imaging with two-way subtraction.

Choi N, Han BK, Choe YH, Kim HS.

J Comput Assist Tomogr. 2005 Nov-Dec;29(6):834-41.

PMID:
16272861
4.

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. doi: 10.1002/jmri.22152.

PMID:
20432344
5.

Chemical shift MRI: is there any contribution to morphologic evaluation of solid breast masses?

Gokalp G, Topal U, Bolca N, Ercan I.

Acad Radiol. 2009 Oct;16(10):1263-71. doi: 10.1016/j.acra.2009.05.014. Epub 2009 Jul 15.

PMID:
19608436
6.

Breast MRI: Are T2 IR sequences useful in the evaluation of breast lesions?

Ballesio L, Savelli S, Angeletti M, Porfiri LM, D'Ambrosio I, Maggi C, Castro ED, Bennati P, Fanelli GP, Vestri AR, Manganaro L.

Eur J Radiol. 2009 Jul;71(1):96-101. doi: 10.1016/j.ejrad.2008.03.025. Epub 2008 May 13.

PMID:
18479866
7.

Assessment of three different software systems in the evaluation of dynamic MRI of the breast.

Kurz KD, Steinhaus D, Klar V, Cohnen M, Wittsack HJ, Saleh A, Mödder U, Blondin D.

Eur J Radiol. 2009 Feb;69(2):300-7. Epub 2007 Dec 3.

PMID:
18060715
8.

[Distinguishing benign and malignant lesions with time-signal intensity curve of dynamic contrast-enhanced breast MRI scanning].

Yuan HM, Yu JQ, Chu ZG, Peng LQ.

Sichuan Da Xue Xue Bao Yi Xue Ban. 2011 Jul;42(4):556-9. Chinese.

PMID:
21866648
9.

A combined high temporal and high spatial resolution 3 Tesla MR imaging protocol for the assessment of breast lesions: initial results.

Pinker K, Grabner G, Bogner W, Gruber S, Szomolanyi P, Trattnig S, Heinz-Peer G, Weber M, Fitzal F, Pluschnig U, Rudas M, Helbich T.

Invest Radiol. 2009 Sep;44(9):553-8. doi: 10.1097/RLI.0b013e3181b4c127.

PMID:
19652611
10.

New spatiotemporal features for improved discrimination of benign and malignant lesions in dynamic contrast-enhanced-magnetic resonance imaging of the breast.

Gal Y, Mehnert A, Bradley A, Kennedy D, Crozier S.

J Comput Assist Tomogr. 2011 Sep-Oct;35(5):645-52. doi: 10.1097/RCT.0b013e318224234f.

PMID:
21926864
11.

[Quantitative parametric analysis of contrast-enhanced lesions in dynamic MR mammography].

Hauth EA, Jaeger H, Maderwald S, Mühler A, Kimmig R, Forsting M.

Radiologe. 2008 Jun;48(6):593-600. Review. German.

PMID:
18004537
12.
13.

Application of computer-aided diagnosis (CAD) in MR-mammography (MRM): do we really need whole lesion time curve distribution analysis?

Baltzer PA, Renz DM, Kullnig PE, Gajda M, Camara O, Kaiser WA.

Acad Radiol. 2009 Apr;16(4):435-42. doi: 10.1016/j.acra.2008.10.007.

PMID:
19268855
14.

Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data.

Woods BJ, Clymer BD, Kurc T, Heverhagen JT, Stevens R, Orsdemir A, Bulan O, Knopp MV.

J Magn Reson Imaging. 2007 Mar;25(3):495-501.

PMID:
17279534
15.

Diagnostic accuracy of diffusion-weighted imaging in differentiating benign from malignant ovarian lesions.

Fujii S, Kakite S, Nishihara K, Kanasaki Y, Harada T, Kigawa J, Kaminou T, Ogawa T.

J Magn Reson Imaging. 2008 Nov;28(5):1149-56. doi: 10.1002/jmri.21575.

PMID:
18972356
16.

Diagnosis of breast tumors by contrast-enhanced MR imaging: comparison between the diagnostic performance of dynamic enhancement patterns and morphologic features.

Goto M, Ito H, Akazawa K, Kubota T, Kizu O, Yamada K, Nishimura T.

J Magn Reson Imaging. 2007 Jan;25(1):104-12.

PMID:
17152054
17.

Evaluation of suspicious nipple discharge by magnetic resonance mammography based on breast imaging reporting and data system magnetic resonance imaging descriptors.

Tokuda Y, Kuriyama K, Nakamoto A, Choi S, Yutani K, Kunitomi Y, Haneda T, Kawai M, Masuda N, Takeda M, Nakamura H.

J Comput Assist Tomogr. 2009 Jan-Feb;33(1):58-62. doi: 10.1097/RCT.0b013e3181671ad2.

PMID:
19188786
18.

Dynamic optical breast imaging: a novel technique to detect and characterize tumor vessels.

Fournier LS, Vanel D, Athanasiou A, Gatzemeier W, Masuykov IV, Padhani AR, Dromain C, Galetti K, Sigal R, Costa A, Balleyguier C.

Eur J Radiol. 2009 Jan;69(1):43-9. doi: 10.1016/j.ejrad.2008.07.038. Epub 2008 Sep 30.

PMID:
18829193
19.

Diffusion-weighted MR imaging with background body signal suppression (DWIBS) for the diagnosis of malignant and benign breast lesions.

Stadlbauer A, Bernt R, Gruber S, Bogner W, Pinker K, van der Riet W, Haller J, Salomonowitz E.

Eur Radiol. 2009 Oct;19(10):2349-56. doi: 10.1007/s00330-009-1426-2. Epub 2009 May 5.

PMID:
19415286
20.

Segmental enhancement on breast MR images: differential diagnosis and diagnostic strategy.

Yuen S, Uematsu T, Masako K, Uchida Y, Nishimura T.

Eur Radiol. 2008 Oct;18(10):2067-75. doi: 10.1007/s00330-008-0980-3. Epub 2008 May 20.

PMID:
18491098

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