Literature DB >> 12016367

Parametric analysis of breast MRI.

Edna Furman-Haran1, Hadassa Degani.   

Abstract

Parametric analysis of breast MRI provides unique mapping of pathophysiological characteristics that cannot be obtained by standard conventional MRI. We describe in this review methods based on intrinsic contrast and tissue elasticity as well as methods that use external paramagnetic contrast agents and follow the time evolution of contrast. Processing of the raw data, frequently with new mathematical models and algorithms, yielded calculated parametric images that may help improve the noninvasive detection and diagnosis of breast cancer.

Entities:  

Mesh：

Year:  2002        PMID： 12016367     DOI： 10.1097/00004728-200205000-00012

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN： 0363-8715            Impact factor:   1.826


  11 in total

1.  Multimodal imaging and computer assisted diagnosis for functional tumour characterisation.

Authors:  Hans-Ulrich Kauczor
Journal:  Cancer Imaging       Date:  2005-06-21       Impact factor: 3.909

2.  Implementation of a semi-automated post-processing system for parametric MRI mapping of human breast cancer.

Authors:  Robert E Lee; E Brian Welch; Jared G Cobb; Tuhin Sinha; John C Gore; Thomas E Yankeelov
Journal:  J Digit Imaging       Date:  2008-04-30       Impact factor: 4.056

3.  Differentiation between benign and malignant breast lesions detected by bilateral dynamic contrast-enhanced MRI: a sensitivity and specificity study.

Authors:  Sanaz A Jansen; Xiaobing Fan; Gregory S Karczmar; Hiroyuki Abe; Robert A Schmidt; Gillian M Newstead
Journal:  Magn Reson Med       Date:  2008-04       Impact factor: 4.668

4.  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

5.  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

6.  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

7.  An illustration of the potential for mapping MRI/MRS parameters with genetic over-expression profiles in human prostate cancer.

Authors:  Robert E Lenkinski; B Nicolas Bloch; Fangbing Liu; John V Frangioni; Sven Perner; Mark A Rubin; Elizabeth M Genega; Neil M Rofsky; Sandra M Gaston
Journal:  MAGMA       Date:  2008-08-28       Impact factor: 2.310

Review 8.  Functional magnetic resonance imaging for defining the biological target volume.

Authors:  Hans-Ulrich Kauczor; Christian Zechmann; Bram Stieltjes; Marc-Andre Weber
Journal:  Cancer Imaging       Date:  2006-06-01       Impact factor: 3.909

9.  Standardization of radiological evaluation of dynamic contrast enhanced MRI: application in breast cancer diagnosis.

Authors:  E Furman-Haran; M Shapiro Feinberg; D Badikhi; E Eyal; T Zehavi; H Degani
Journal:  Technol Cancer Res Treat       Date:  2013-08-31

10.  Semi-quantitative parameter analysis of DCE-MRI revisited: monte-carlo simulation, clinical comparisons, and clinical validation of measurement errors in patients with type 2 neurofibromatosis.

Authors:  Alan Jackson; Ka-Loh Li; Xiaoping Zhu
Journal:  PLoS One       Date:  2014-03-04       Impact factor: 3.240
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