Literature DB >> 9240704

Dynamic MR imaging of the breast combined with analysis of contrast agent kinetics in the differentiation of primary breast tumours.

S Mussurakis1, D L Buckley, P J Drew, J N Fox, P J Carleton, L W Turnbull, A Horsman.   

Abstract

OBJECTIVE: To assess dynamic Gd-DTPA-enhanced magnetic resonance (MR) imaging in the diagnosis of primary breast pathology, and to test the hypothesis that analysis of contrast agent kinetics increases specificity.
METHODS: Forty-seven women underwent breast MR imaging using three-dimensional and dynamic spoiled gradient-recalled sequences. Image interpretation was based on the evaluation of lesion conspicuity, signal intensity, contour and enhancement pattern from the static acquisitions. Assessment of contrast kinetics was based on pixel-by-pixel analysis of the dynamic data. A two-compartment model described by three parameters (amplitude of uptake, exchange rate and washout rate), and a three-compartment model described by two parameters (permeability and exchange rate) were used. Regions of interest were drawn for all lesions found in the dynamic sections. Mean regional pixel values were calculated for each parameter and tested for diagnostic efficacy.
RESULTS: Twenty-two malignant and 36 benign lesions were examined. Fibroadenomas accounted for 86% of the benign tumours. Image interpretation had a sensitivity of 0.95 and specificity of 0.86. The fat-suppressed post-contrast images permitted good visualization of the contour and matrix characteristics of fibroadenomas, but all non-fibroadenomatous benign lesions were classified as indeterminate or suspicious. Significant differences were found between benign and malignant lesions in the amplitude of uptake (P = 0.0008) and exchange rate (P < 0.00005) of the two-compartment model, and permeability (P=0.0001) and exchange rate (P < 0.00005) of the three-compartment model. However, image interpretation was superior to the isolated use of quantitative indices (P=0.02). The most discriminating parameters were the exchange rates of both models, with no significant difference between them.
CONCLUSION: Assessment of lesion morphology is essential and probably sufficient for the differentiation of fibroadenomas from malignant tumours. However, specificity of conventional MR imaging may be much lower for other types of primary benign breast pathology. Analysis of Gd-DTPA kinetics improves the specificity obtained using simple enhancement measurements and can be used to produce parametric images that provide information about lesion heterogeneity, permeability and vascularity.

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Year:  1997        PMID: 9240704     DOI: 10.1016/s0009-9260(97)80328-5

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  16 in total

1.  Combination of low and high resolution sequences in two orientations for dynamic contrast-enhanced MRI of the breast: more than a compromise.

Authors:  Toni W Vomweg; Andrea Teifke; R Peter Kunz; Christian Hintze; Alexander Hlawatsch; Annett Kern; Karl F Kreitner; Manfred Thelen
Journal:  Eur Radiol       Date:  2004-07-29       Impact factor: 5.315

2.  Pharmacokinetic analysis of ductal carcinoma in situ of the breast using dynamic MR mammography.

Authors:  Keiko Oshida; Takeshi Nagashima; Takuya Ueda; Hiroshi Yagata; Naoto Tanabe; Shigeharu Nakano; Takashi Nikaidou; Hiroyuki Funatsu; Hideyuki Hashimoto; Masaru Miyazaki
Journal:  Eur Radiol       Date:  2005-03-24       Impact factor: 5.315

3.  Prospective comparison of standard triple assessment and dynamic magnetic resonance imaging of the breast for the evaluation of symptomatic breast lesions.

Authors:  P J Drew; L W Turnbull; S Chatterjee; J Read; P J Carleton; J N Fox; J R Monson; M J Kerin
Journal:  Ann Surg       Date:  1999-11       Impact factor: 12.969

4.  Pharmacokinetic mapping for lesion classification in dynamic breast MRI.

Authors:  Matthias C Schabel; Glen R Morrell; Karen Y Oh; Cheryl A Walczak; R Brad Barlow; Leigh A Neumayer
Journal:  J Magn Reson Imaging       Date:  2010-06       Impact factor: 4.813

5.  Real-Time Measurement of Functional Tumor Volume by MRI to Assess Treatment Response in Breast Cancer Neoadjuvant Clinical Trials: Validation of the Aegis SER Software Platform.

Authors:  David C Newitt; Sheye O Aliu; Neil Witcomb; Gal Sela; John Kornak; Laura Esserman; Nola M Hylton
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

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.  Invasive breast cancer: correlation of dynamic MR features with prognostic factors.

Authors:  Botond K Szabó; Peter Aspelin; Maria Kristoffersen Wiberg; Tibor Tot; Beata Boné
Journal:  Eur Radiol       Date:  2003-07-26       Impact factor: 5.315

8.  Principal component analysis of breast DCE-MRI adjusted with a model-based method.

Authors:  Erez Eyal; Daria Badikhi; Edna Furman-Haran; Fredrick Kelcz; Kevin J Kirshenbaum; Hadassa Degani
Journal:  J Magn Reson Imaging       Date:  2009-11       Impact factor: 4.813

9.  Improved discrimination of breast lesions using selective sampling of segmented MR images.

Authors:  Bashar Issa
Journal:  MAGMA       Date:  2006-02-08       Impact factor: 2.310

10.  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

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