Literature DB >> 9471126

Diffusion imaging of human breast.

S A Englander1, A M Uluğ, R Brem, J D Glickson, P C van Zijl.   

Abstract

It is shown that diffusion-weighted imaging is possible in the human breast. Diffusion constants were measured in the breast parenchyma of four volunteers with no known breast lesions. The apparent diffusion constant of water measured in regions of interest chosen in normal human breast fibroglandular tissue was 1.64 +/- 0.19 x 10(-5) cm2/S and that measured in the area of fatty breast tissue was 0.32 +/- 0.18 x 10(-5) cm2/S. The resulting images indicate that fibroglandular tissue and fat can be clearly distinguished in diffusion-weighted as well as in absolute diffusion images of the breast. Potential future applications of this technology for the study of breast pathologies are suggested.

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Year:  1997        PMID: 9471126     DOI: 10.1002/(sici)1099-1492(199710)10:7<348::aid-nbm487>3.0.co;2-r

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


  25 in total

Review 1.  Applications of magnetic resonance in model systems: cancer therapeutics.

Authors:  J L Evelhoch; R J Gillies; G S Karczmar; J A Koutcher; R J Maxwell; O Nalcioglu; N Raghunand; S M Ronen; B D Ross; H M Swartz
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

2.  In vivo water state measurements in breast cancer using broadband diffuse optical spectroscopy.

Authors:  S H Chung; A E Cerussi; C Klifa; H M Baek; O Birgul; G Gulsen; S I Merritt; D Hsiang; B J Tromberg
Journal:  Phys Med Biol       Date:  2008-11-07       Impact factor: 3.609

3.  Diffusion-weighted MRI: association between patient characteristics and apparent diffusion coefficients of normal breast fibroglandular tissue at 3 T.

Authors:  Elizabeth S McDonald; Jennifer G Schopp; Sue Peacock; Wendy B DeMartini; Wendy D DeMartini; Habib Rahbar; Constance D Lehman; Savannah C Partridge
Journal:  AJR Am J Roentgenol       Date:  2014-05       Impact factor: 3.959

Review 4.  The Efficiency of Diffusion Weighted MRI and MR Spectroscopy On Breast MR Imaging.

Authors:  Canan Altay; Pınar Balcı
Journal:  J Breast Health       Date:  2014-10-01

5.  Diffusion-weighted magnetic resonance imaging of breast lesions: the influence of different fat-suppression techniques on quantitative measurements and their reproducibility.

Authors:  P Mürtz; M Tsesarskiy; A Kowal; F Träber; J Gieseke; W A Willinek; C C Leutner; A Schmiedel; H H Schild
Journal:  Eur Radiol       Date:  2014-06-05       Impact factor: 5.315

6.  Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.

Authors:  Riham H Ei Khouli; Michael A Jacobs; Sarah D Mezban; Peng Huang; Ihab R Kamel; Katarzyna J Macura; David A Bluemke
Journal:  Radiology       Date:  2010-07       Impact factor: 11.105

7.  Diffusion-weighted MRI: influence of intravoxel fat signal and breast density on breast tumor conspicuity and apparent diffusion coefficient measurements.

Authors:  Savannah C Partridge; Lisa Singer; Ryan Sun; Lisa J Wilmes; Catherine S Klifa; Constance D Lehman; Nola M Hylton
Journal:  Magn Reson Imaging       Date:  2011-09-14       Impact factor: 2.546

Review 8.  Whole-body diffusion-weighted and proton imaging: a review of this emerging technology for monitoring metastatic cancer.

Authors:  Michael A Jacobs; Li Pan; Katarzyna J Macura
Journal:  Semin Roentgenol       Date:  2009-04       Impact factor: 0.800

Review 9.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

10.  Diffusion-weighted magnetic resonance imaging for assessment after neoadjuvant chemotherapy in breast cancer, based on morphological concepts.

Authors:  Yoriko Murata; Kei Kubota; Norihiko Hamada; Kana Miyatake; Michiko Tadokoro; Kimiko Nakatani; Hironobu Ue; Kazuhiro Tsuzuki; Akihito Nishioka; Mitsuko Iguchi; Hironobu Maeda; Yasuhiro Ogawa
Journal:  Oncol Lett       Date:  2010-03-01       Impact factor: 2.967

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