Literature DB >> 8748488

Changes in fibroglandular volume and water content of breast tissue during the menstrual cycle observed by MR imaging at 1.5 T.

S J Graham1, P L Stanchev, J O Lloyd-Smith, M J Bronskill, D B Plewes.   

Abstract

MR imaging at 1.5 T was used to investigate variations in breast parenchyma during the menstrual cycle. Seven subjects were examined twice weekly over at least one menstrual cycle. A three-point Dixon technique (TE = 19 msec, TR = 2000 msec) provided images of fat, water, and static magnetic field (Bo), from which two quantitative whole breast parameters were calculated: the mean relative volumetric water content, <WC>, and the mean volumetric fibroglandular fraction, <FV>. Four of seven subjects showed unequivocal cyclic variations in <WC> and <FV> consistent with expected histologic changes; <WC> and <FV> values were elevated during menses and reduced in mid-cycle. The maximum deviation measured for each of the four subjects was < or = 10% in <WC> and <FV> units. These variations probably do not influence significantly the clinical interpretation of unenhanced MR breast images. Quantitative measurements of breast parenchyma, however, should recognize these effects.

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Year:  1995        PMID: 8748488     DOI: 10.1002/jmri.1880050613

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  27 in total

1.  Contrast enhancement kinetics of normal breast parenchyma in dynamic MR mammography: effects of menopausal status, oral contraceptives, and postmenopausal hormone therapy.

Authors:  Katrin Hegenscheid; Carsten O Schmidt; Rebecca Seipel; René Laqua; Ralf Ohlinger; Norbert Hosten; Ralf Puls
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2.  Anthropomorphic breast phantoms with physiological water, lipid, and hemoglobin content for near-infrared spectral tomography.

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Review 3.  Gestation-Specific Changes in the Anatomy and Physiology of Healthy Pregnant Women: An Extended Repository of Model Parameters for Physiologically Based Pharmacokinetic Modeling in Pregnancy.

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Review 4.  Metabolite quantification and high-field MRS in breast cancer.

Authors:  Ihab S Haddadin; Adeka McIntosh; Sina Meisamy; Curt Corum; Angela L Styczynski Snyder; Nathaniel J Powell; Michael T Nelson; Douglas Yee; Michael Garwood; Patrick J Bolan
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5.  Mammographic determination of breast volume by elliptical cone estimation.

Authors:  James T K Fung; Sharon W W Chan; Annie N K Chiu; Polly S Y Cheung; S H Lam
Journal:  World J Surg       Date:  2010-07       Impact factor: 3.352

6.  Menstrual cycle-related fluctuations in breast density measured by using three-dimensional MR imaging.

Authors:  Siwa Chan; Min-Ying L Su; Fu-Ju Lei; Jia-Pei Wu; Muqing Lin; Orhan Nalcioglu; Stephen A Feig; Jeon-Hor Chen
Journal:  Radiology       Date:  2011-08-30       Impact factor: 11.105

7.  Volume of mammographic density and risk of breast cancer.

Authors:  John A Shepherd; Karla Kerlikowske; Lin Ma; Frederick Duewer; Bo Fan; Jeff Wang; Serghei Malkov; Eric Vittinghoff; Steven R Cummings
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-05-24       Impact factor: 4.254

8.  MR water quantitative priors improves the accuracy of optical breast imaging.

Authors:  Colin M Carpenter; Brian W Pogue; Shudong Jiang; Jia Wang; Brian A Hargreaves; Rebecca Rakow-Penner; Bruce L Daniel; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2010-09-02       Impact factor: 10.048

9.  The relationship of breast density in mammography and magnetic resonance imaging in high-risk women and women with breast cancer.

Authors:  Marissa Albert; Freya Schnabel; Jennifer Chun; Shira Schwartz; Jiyon Lee; Ana Paula Klautau Leite; Linda Moy
Journal:  Clin Imaging       Date:  2015-08-06       Impact factor: 1.605

10.  Response of bilateral breasts to the endogenous hormonal fluctuation in a menstrual cycle evaluated using 3D MRI.

Authors:  Jeon-Hor Chen; Siwa Chan; Dah-Cherng Yeh; Peter T Fwu; Muqing Lin; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2012-12-05       Impact factor: 2.546

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