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Items: 1 to 20 of 165

1.

Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics.

Partridge SC, Rahbar H, Murthy R, Chai X, Kurland BF, DeMartini WB, Lehman CD.

Magn Reson Med. 2011 Jun;65(6):1759-67. doi: 10.1002/mrm.22762. Epub 2011 Jan 19.

2.

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. doi: 10.1016/j.mri.2014.04.012. Epub 2014 Apr 24.

PMID:
24907855
3.

High-Resolution Diffusion-Weighted Imaging Improves the Diagnostic Accuracy of Dynamic Contrast-Enhanced Sinonasal Magnetic Resonance Imaging.

Wang F, Sha Y, Zhao M, Wan H, Zhang F, Cheng Y, Tang W.

J Comput Assist Tomogr. 2017 Mar/Apr;41(2):199-205. doi: 10.1097/RCT.0000000000000502.

PMID:
27560026
4.

Breast DCE-MRI: influence of postcontrast timing on automated lesion kinetics assessments and discrimination of benign and malignant lesions.

Partridge SC, Stone KM, Strigel RM, DeMartini WB, Peacock S, Lehman CD.

Acad Radiol. 2014 Sep;21(9):1195-203. doi: 10.1016/j.acra.2014.04.013. Epub 2014 Jul 4.

5.

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. doi: 10.2214/AJR.09.3534.

PMID:
20489111
6.

Diagnostic performance of ADC for Non-mass-like breast lesions on MR imaging.

Imamura T, Isomoto I, Sueyoshi E, Yano H, Uga T, Abe K, Hayashi T, Honda S, Yamaguchi T, Uetani M.

Magn Reson Med Sci. 2010;9(4):217-25.

7.

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. doi: 10.1016/j.crad.2015.05.009. Epub 2015 Jun 28.

PMID:
26135541
8.

Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.

Ei Khouli RH, Jacobs MA, Mezban SD, Huang P, Kamel IR, Macura KJ, Bluemke DA.

Radiology. 2010 Jul;256(1):64-73. doi: 10.1148/radiol.10091367.

9.

Diffusion-weighted imaging of breast masses: comparison of diagnostic performance using various apparent diffusion coefficient parameters.

Hirano M, Satake H, Ishigaki S, Ikeda M, Kawai H, Naganawa S.

AJR Am J Roentgenol. 2012 Mar;198(3):717-22. doi: 10.2214/AJR.11.7093.

PMID:
22358015
10.

Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.

Partridge SC, DeMartini WB, Kurland BF, Eby PR, White SW, Lehman CD.

AJR Am J Roentgenol. 2009 Dec;193(6):1716-22. doi: 10.2214/AJR.08.2139.

PMID:
19933670
11.

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. doi: 10.2214/AJR.08.1335.

PMID:
19696298
12.

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. doi: 10.1177/0284185113509094. Epub 2013 Nov 14.

PMID:
24234236
13.

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
14.

Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging.

Min Q, Shao K, Zhai L, Liu W, Zhu C, Yuan L, Yang J.

World J Surg Oncol. 2015 Feb 7;13:32. doi: 10.1186/s12957-014-0431-3.

15.

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. doi: 10.1016/j.ejrad.2009.09.013. Epub 2009 Sep 30.

PMID:
19796900
16.

Diffusion-weighted imaging with fat suppression using short-tau inversion recovery: Clinical utility for diagnosis of breast lesions.

Ouyang Z, Ouyang Y, Zhu M, Lu Y, Zhang Z, Shi J, Li X, Ren G.

Clin Radiol. 2014 Aug;69(8):e337-44. doi: 10.1016/j.crad.2014.04.004. Epub 2014 May 16.

PMID:
24837698
17.

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. doi: 10.1016/j.mri.2011.12.002. Epub 2012 Jan 14.

PMID:
22245697
18.

Dynamic contrast-enhanced MRI of the breast: quantitative method for kinetic curve type assessment.

El Khouli RH, Macura KJ, Jacobs MA, Khalil TH, Kamel IR, Dwyer A, Bluemke DA.

AJR Am J Roentgenol. 2009 Oct;193(4):W295-300. doi: 10.2214/AJR.09.2483.

19.

Significance of the ADC ratio in the differential diagnosis of breast lesions.

Zhao J, Guan H, Li M, Gu H, Qin J, Wu X.

Acta Radiol. 2016 Apr;57(4):422-9. doi: 10.1177/0284185115590286. Epub 2015 Jun 12.

PMID:
26071495
20.

3-T dynamic contrast-enhanced MRI of the breast: pharmacokinetic parameters versus conventional kinetic curve analysis.

El Khouli RH, Macura KJ, Kamel IR, Jacobs MA, Bluemke DA.

AJR Am J Roentgenol. 2011 Dec;197(6):1498-505. doi: 10.2214/AJR.10.4665.

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