Literature DB >> 11493422

Vascularity assessment of breast lesions with gadolinium-enhanced MR imaging.

N M Hylton1.   

Abstract

Gadolinium-enhanced MR imaging of the breast can be used to characterize both tumor morphology and vascularity. An empirical three-point method using high resolution three-dimensional MR imaging that combines high spatial resolution with an estimate of tumor pharmacokinetics is described. This technique appears to improve diagnostic specificity of breast MR imaging and may provide a noninvasive method of tumor characterization of prognostic value.

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Year:  2001        PMID： 11493422

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN： 1064-9689            Impact factor:   2.266


  15 in total

1.  Initial clinical experience with contrast-enhanced digital breast tomosynthesis.

Authors:  Sara C Chen; Ann-Katherine Carton; Michael Albert; Emily F Conant; Mitchell D Schnall; Andrew D A Maidment
Journal:  Acad Radiol       Date:  2007-02       Impact factor: 3.173

2.  Contrast-enhanced 3.0-T breast MRI for characterization of breast lesions: increased specificity by using vascular maps.

Authors:  A C Schmitz; N H G M Peters; W B Veldhuis; A M Fernandez Gallardo; P J van Diest; G Stapper; R van Hillegersberg; W P Th M Mali; M A A J van den Bosch
Journal:  Eur Radiol       Date:  2007-09-20       Impact factor: 5.315

3.  Dual-energy contrast-enhanced digital breast tomosynthesis--a feasibility study.

Authors:  A-K Carton; S C Gavenonis; J A Currivan; E F Conant; M D Schnall; A D A Maidment
Journal:  Br J Radiol       Date:  2009-06-08       Impact factor: 3.039

4.  The effect of scatter and glare on image quality in contrast-enhanced breast imaging using an a-Si/CsI(TI) full-field flat panel detector.

Authors:  Ann-Katherine Carton; Raymond Acciavatti; Johnny Kuo; Andrew D A Maidment
Journal:  Med Phys       Date:  2009-03       Impact factor: 4.071

5.  Optimization of a dual-energy contrast-enhanced technique for a photon-counting digital breast tomosynthesis system: I. A theoretical model.

Authors:  Ann-Katherine Carton; Christer Ullberg; Karin Lindman; Raymond Acciavatti; Tom Francke; Andrew D A Maidment
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

6.  Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.

Authors:  Ka-Loh Li; Savannah C Partridge; Bonnie N Joe; Jessica E Gibbs; Ying Lu; Laura J Esserman; Nola M Hylton
Journal:  Radiology       Date:  2008-07       Impact factor: 11.105

7.  DCE-MRI parameters have potential to predict response of locally advanced breast cancer patients to neoadjuvant chemotherapy and hyperthermia: a pilot study.

Authors:  Oana I Craciunescu; Kimberly L Blackwell; Ellen L Jones; James R Macfall; Daohai Yu; Zeljko Vujaskovic; Terence Z Wong; Vlayka Liotcheva; Eric L Rosen; Leonard R Prosnitz; Thaddeus V Samulski; Mark W Dewhirst
Journal:  Int J Hyperthermia       Date:  2009       Impact factor: 3.914

8.  Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging.

Authors:  Ka-Loh Li; Roland G Henry; Lisa J Wilmes; Jessica Gibbs; Xiaoping Zhu; Ying Lu; Nola M Hylton
Journal:  Magn Reson Med       Date:  2007-09       Impact factor: 4.668

9.  Correlation of contrast agent kinetics between iodinated contrast-enhanced spectral tomosynthesis and gadolinium-enhanced MRI of breast lesions.

Authors:  Vera Froeling; Felix Diekmann; Diane M Renz; Eva M Fallenberg; Ingo G Steffen; Susanne Diekmann; Rüdiger Lawaczeck; Florian F Schmitzberger
Journal:  Eur Radiol       Date:  2013-01-10       Impact factor: 5.315

10.  Diagnosis of breast masses from dynamic contrast-enhanced and diffusion-weighted MR: a machine learning approach.

Authors:  Hongmin Cai; Yanxia Peng; Caiwen Ou; Minsheng Chen; Li Li
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240
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