Literature DB >> 18654999

Dynamic contrast-enhanced MRI in the diagnosis and management of breast cancer.

Lindsay W Turnbull1.   

Abstract

Dynamic contrast-enhanced MRI (DCE-MRI) is an evolving tool for determining breast disease, which benefits from the move to imaging at 3 T. It has major capabilities for the diagnosis, detection and monitoring of malignancy. It benefits from being non-invasive and three-dimensional, allowing visualisation of the extent of disease and its angiogenic properties, visualisation of lesion heterogeneity, detection of changes in angiogenic properties before morphological alterations, and the potential to predict the overall response either before the start of therapy or early during treatment. In addition, DCE-MRI is emerging as a powerful tool for screening high-risk patients and for detecting high-grade ductal carcinoma in situ. However, there are also a number of limitations, including the overlap in enhancement patterns between malignant and benign disease, the failure to resolve microscopic disease particularly in the neoadjuvant setting, and the inconsistent predictive value of the enhancement pattern for clinical outcome. Careful consideration should be given to the technical requirements of individual examinations and the need for automation of post-processing techniques to appropriately handle the growing volume of data acquired. Research continues, focusing on the use of higher field strengths with improved spatial and temporal resolution data, improving understanding of the mechanism of contrast enhancement at the cellular level, and developing macromolecular and targeted contrast agents.

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Year:  2009        PMID: 18654999     DOI: 10.1002/nbm.1273

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  67 in total

1.  Permeability assessment of the focused ultrasound-induced blood-brain barrier opening using dynamic contrast-enhanced MRI.

Authors:  F Vlachos; Y-S Tung; E E Konofagou
Journal:  Phys Med Biol       Date:  2010-08-25       Impact factor: 3.609

Review 2.  Tracer kinetic modelling of tumour angiogenesis based on dynamic contrast-enhanced CT and MRI measurements.

Authors:  Gunnar Brix; Jürgen Griebel; Fabian Kiessling; Frederik Wenz
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-08       Impact factor: 9.236

Review 3.  Surgical issues in patients with breast cancer receiving neoadjuvant chemotherapy.

Authors:  Tari A King; Monica Morrow
Journal:  Nat Rev Clin Oncol       Date:  2015-04-07       Impact factor: 66.675

4.  Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.

Authors:  Neha Bhooshan; Maryellen Giger; Milica Medved; Hui Li; Abbie Wood; Yading Yuan; Li Lan; Angelica Marquez; Greg Karczmar; Gillian Newstead
Journal:  J Magn Reson Imaging       Date:  2013-09-10       Impact factor: 4.813

5.  Dynamic field-of-view imaging to increase temporal resolution in the early phase of contrast media uptake in breast DCE-MRI: A feasibility study.

Authors:  Federico D Pineda; Ty O Easley; Gregory S Karczmar
Journal:  Med Phys       Date:  2018-01-24       Impact factor: 4.071

Review 6.  Utility of functional imaging in prediction or assessment of treatment response and prognosis following thermotherapy.

Authors:  Mark W Dewhirst; Donald E Thrall; Gregory Palmer; Thies Schroeder; Zeljko Vujaskovic; H Cecil Charles; James Macfall; Terence Wong
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

7.  Quantitative contrast-enhanced spectral mammography based on photon-counting detectors: A feasibility study.

Authors:  Huanjun Ding; Sabee Molloi
Journal:  Med Phys       Date:  2017-06-28       Impact factor: 4.071

8.  A diffusion-compensated model for the analysis of DCE-MRI data: theory, simulations and experimental results.

Authors:  Jacob U Fluckiger; Mary E Loveless; Stephanie L Barnes; Martin Lepage; Thomas E Yankeelov
Journal:  Phys Med Biol       Date:  2013-03-04       Impact factor: 3.609

9.  Dual-contrast dynamic MRI-DOT for small animal imaging.

Authors:  David Thayer; Mehmet Burcin Unlu; Yuting Lin; Kevin Yan; Orhan Nalcioglu; Gultekin Gulsen
Journal:  Technol Cancer Res Treat       Date:  2010-02

10.  A new approach to analysis of the impulse response function (IRF) in dynamic contrast-enhanced MRI (DCEMRI): a simulation study.

Authors:  Xiaobing Fan; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2009-07       Impact factor: 4.668

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