Literature DB >> 15122692

Improvement in breast lesion characterization with dynamic contrast-enhanced MRI using pharmacokinetic modeling and bookend T(1) measurements.

Greg O Cron1, Frederick Kelcz, Giles E Santyr.   

Abstract

Dynamic contrast-enhanced breast MR imaging was performed on 14 patients (five cancerous lesions, nine benign) with slice-selective spoiled gradient-recalled echo (2D SPGR) imaging. Adiabatic saturation recovery T(1) measurements were performed before (T(1pre)) and after (T(1post)) 2D SPGR imaging. These two "bookend" T(1) measurements were used to calibrate the equations which were employed to convert the time course of the 2D SPGR signal strength to T(1)-vs.-time, which in turn was used to compute the gadolinium concentration-vs.-time ([C](t)) in the lesion. The extraction-flow product (EF) was computed for each lesion by pharmacokinetic modeling of [C](t). For this study, EF provided a sensitivity and specificity for cancer of 100% and 78%, respectively. When only T(1pre) was used to estimate [C](t) (which assumes a priori knowledge of the shape and amplitude of the slice profile), the sensitivity and specificity fell to 80% and 56%, respectively. This is presumably due to unexpected variations in the shape and/or amplitude of the slice profile, which could be caused by factors such as patient-to-patient variations in breast geometry or inconsistently set transmit gains. Therefore, both T(1pre) and T(1post) measurements are necessary for optimum sensitivity and specificity using pharmacokinetic analysis. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15122692     DOI: 10.1002/mrm.20042

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  11 in total

1.  DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement?

Authors:  Sanaz A Jansen; Xiaobing Fan; Gregory S Karczmar; Hiroyuki Abe; Robert A Schmidt; Maryellen Giger; Gillian M Newstead
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

2.  Quantitative hepatic perfusion modeling using DCE-MRI with sequential breathholds.

Authors:  Eric M Bultman; Ethan K Brodsky; Debra E Horng; Pablo Irarrazaval; William R Schelman; Walter F Block; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2013-11-04       Impact factor: 4.813

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.  Diagnostic accuracy of dynamic contrast-enhanced MR imaging using a phase-derived vascular input function in the preoperative grading of gliomas.

Authors:  T B Nguyen; G O Cron; J F Mercier; C Foottit; C H Torres; S Chakraborty; J Woulfe; G H Jansen; J M Caudrelier; J Sinclair; M J Hogan; R E Thornhill; I G Cameron
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-22       Impact factor: 3.825

Review 5.  Perfusion MRI: the five most frequently asked technical questions.

Authors:  Marco Essig; Mark S Shiroishi; Thanh Binh Nguyen; Marc Saake; James M Provenzale; David Enterline; Nicoletta Anzalone; Arnd Dörfler; Alex Rovira; Max Wintermark; Meng Law
Journal:  AJR Am J Roentgenol       Date:  2013-01       Impact factor: 3.959

6.  Quantitative evaluation of dual-flip-angle T1 mapping on DCE-MRI kinetic parameter estimation in head and neck.

Authors:  Jing Yuan; Steven Kwok Keung Chow; David Ka Wai Yeung; Anil T Ahuja; Ann D King
Journal:  Quant Imaging Med Surg       Date:  2012-12

7.  Comparison of the Diagnostic Accuracy of DSC- and Dynamic Contrast-Enhanced MRI in the Preoperative Grading of Astrocytomas.

Authors:  T B Nguyen; G O Cron; K Perdrizet; K Bezzina; C H Torres; S Chakraborty; J Woulfe; G H Jansen; J Sinclair; R E Thornhill; C Foottit; B Zanette; I G Cameron
Journal:  AJNR Am J Neuroradiol       Date:  2015-07-30       Impact factor: 3.825

8.  Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples.

Authors:  Thomas E Yankeelov; John C Gore
Journal:  Curr Med Imaging Rev       Date:  2009-05-01

9.  Evaluation of T1/T2 ratios in a pilot study as a potential biomarker of biopsy: proven benign and malignant breast lesions in correlation with histopathological disease stage.

Authors:  Marina A Malikova; Jaroslaw N Tkacz; Priscilla J Slanetz; Chao-Yu Guo; Adam Aakil; Hernan Jara
Journal:  Future Sci OA       Date:  2017-05-02

10.  Quality assurance in MRI breast screening: comparing signal-to-noise ratio in dynamic contrast-enhanced imaging protocols.

Authors:  Evanthia Kousi; Marco Borri; Jamie Dean; Rafal Panek; Erica Scurr; Martin O Leach; Maria A Schmidt
Journal:  Phys Med Biol       Date:  2015-11-25       Impact factor: 3.609

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