Literature DB >> 27690173

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

Savannah C Partridge1,2, Noam Nissan3, Habib Rahbar1,2, Averi E Kitsch1,2, Eric E Sigmund4.   

Abstract

Diffusion-weighted MRI (DWI) holds potential to improve the detection and biological characterization of breast cancer. DWI is increasingly being incorporated into breast MRI protocols to address some of the shortcomings of routine clinical breast MRI. Potential benefits include improved differentiation of benign and malignant breast lesions, assessment and prediction of therapeutic efficacy, and noncontrast detection of breast cancer. The breast presents a unique imaging environment with significant physiologic and inter-subject variations, as well as specific challenges to achieving reliable high quality diffusion-weighted MR images. Technical innovations are helping to overcome many of the image quality issues that have limited widespread use of DWI for breast imaging. Advanced modeling approaches to further characterize tissue perfusion, complexity, and glandular organization may expand knowledge and yield improved diagnostic tools. LEVEL OF EVIDENCE: 5 J. Magn. Reson. Imaging 2016 J. Magn. Reson. Imaging 2017;45:337-355.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  breast DWI artifacts; breast cancer diagnostics; breast diffusion-weighted MRI; breast physiology; diffusion tensor imaging; intravoxel incoherent motion

Mesh:

Year:  2016        PMID: 27690173      PMCID: PMC5222835          DOI: 10.1002/jmri.25479

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


  139 in total

1.  Phase insensitive preparation of single-shot RARE: application to diffusion imaging in humans.

Authors:  D C Alsop
Journal:  Magn Reson Med       Date:  1997-10       Impact factor: 4.668

2.  Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters.

Authors:  Naoko Mori; Hideki Ota; Shunji Mugikura; Chiaki Takasawa; Junya Tominaga; Takanori Ishida; Mika Watanabe; Kei Takase; Shoki Takahashi
Journal:  Eur Radiol       Date:  2013-06-04       Impact factor: 5.315

3.  Morphological changes in breast tissue with menstrual cycle.

Authors:  Rathi Ramakrishnan; Seema A Khan; Sunil Badve
Journal:  Mod Pathol       Date:  2002-12       Impact factor: 7.842

4.  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

5.  Impact of fibroglandular tissue and background parenchymal enhancement on diffusion weighted imaging of breast lesions.

Authors:  Chiara Iacconi; Sunitha B Thakur; David D Dershaw; Jennifer Brooks; Charles W Fry; Elizabeth A Morris
Journal:  Eur J Radiol       Date:  2014-12       Impact factor: 3.528

6.  Breast-density legislation--practical considerations.

Authors:  Priscilla J Slanetz; Phoebe E Freer; Robyn L Birdwell
Journal:  N Engl J Med       Date:  2015-02-12       Impact factor: 91.245

7.  Parametric diffusion tensor imaging of the breast.

Authors:  Erez Eyal; Myra Shapiro-Feinberg; Edna Furman-Haran; Dov Grobgeld; Talia Golan; Yacov Itzchak; Raphael Catane; Moshe Papa; Hadassa Degani
Journal:  Invest Radiol       Date:  2012-05       Impact factor: 6.016

8.  Diffusion tensor imaging of breast lesions: evaluation of apparent diffusion coefficient and fractional anisotropy and tissue cellularity.

Authors:  Ruisheng Jiang; Zhijun Ma; Haixia Dong; Shihang Sun; Xiangmin Zeng; Xiao Li
Journal:  Br J Radiol       Date:  2016-06-15       Impact factor: 3.039

9.  Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.

Authors:  Sung Hun Kim; Eun Suk Cha; Hyeon Sook Kim; Bong Joo Kang; Jae Jeong Choi; Ji Han Jung; Yong Gyu Park; Young Jin Suh
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

10.  Evaluating the diagnostic sensitivity of computed diffusion-weighted MR imaging in the detection of breast cancer.

Authors:  Elizabeth A M O'Flynn; Matthew Blackledge; David Collins; Katherine Downey; Simon Doran; Hardik Patel; Sam Dumonteil; Wing Mok; Martin O Leach; Dow-Mu Koh
Journal:  J Magn Reson Imaging       Date:  2016-01-13       Impact factor: 4.813

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  76 in total

1.  Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

Authors:  Katja Pinker; Linda Moy; Elizabeth J Sutton; Ritse M Mann; Michael Weber; Sunitha B Thakur; Maxine S Jochelson; Zsuzsanna Bago-Horvath; Elizabeth A Morris; Pascal At Baltzer; Thomas H Helbich
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

Review 2.  Novel imaging approaches to screen for breast cancer: Recent advances and future prospects.

Authors:  Christopher L Vaughan
Journal:  Med Eng Phys       Date:  2019-10       Impact factor: 2.242

3.  Diffusion-weighted breast imaging.

Authors:  K Deike-Hofmann; T Kuder; F König; D Paech; C Dreher; S Delorme; H-P Schlemmer; S Bickelhaupt
Journal:  Radiologe       Date:  2018-11       Impact factor: 0.635

4.  Diffusion-weighted MRI characteristics associated with prognostic pathological factors and recurrence risk in invasive ER+/HER2- breast cancers.

Authors:  Nita Amornsiripanitch; Vicky T Nguyen; Habib Rahbar; Daniel S Hippe; Vijayakrishna K Gadi; Mara H Rendi; Savannah C Partridge
Journal:  J Magn Reson Imaging       Date:  2017-11-27       Impact factor: 4.813

5.  Emerging Techniques Bring Diffusion-weighted Imaging of the Breast into Focus.

Authors:  Savannah C Partridge
Journal:  Radiology       Date:  2020-08-25       Impact factor: 11.105

6.  Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL.

Authors:  Wen Li; David C Newitt; Lisa J Wilmes; Ella F Jones; Vignesh Arasu; Jessica Gibbs; Bo La Yun; Elizabeth Li; Savannah C Partridge; John Kornak; Laura J Esserman; Nola M Hylton
Journal:  J Magn Reson Imaging       Date:  2019-04-26       Impact factor: 4.813

7.  Is there any relationship between adc values of diffusion-weighted imaging and the histopathological prognostic factors of invasive ductal carcinoma?

Authors:  Hale Aydin; Bahar Guner; Isil Esen Bostanci; Zarife Melda Bulut; Bilgin Kadri Aribas; Lutfi Dogan; Mehmet Ali Gulcelik
Journal:  Br J Radiol       Date:  2018-01-12       Impact factor: 3.039

8.  Diffusion-weighted imaging is helpful in the accurate non-invasive diagnosis of breast abscess: correlation with necrotic breast cancer.

Authors:  Cuiyan Wang; Mohammad Eghtedari; Wei Tse Yang; Basak Erguvan Dogan
Journal:  BMJ Case Rep       Date:  2018-03-22

9.  Breast cancer screening programs: does one risk fit all?

Authors:  Federica Pediconi; Francesca Galati
Journal:  Quant Imaging Med Surg       Date:  2020-04

10.  Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial.

Authors:  David C Newitt; Zheng Zhang; Jessica E Gibbs; Savannah C Partridge; Thomas L Chenevert; Mark A Rosen; Patrick J Bolan; Helga S Marques; Sheye Aliu; Wen Li; Lisa Cimino; Bonnie N Joe; Heidi Umphrey; Haydee Ojeda-Fournier; Basak Dogan; Karen Oh; Hiroyuki Abe; Jennifer Drukteinis; Laura J Esserman; Nola M Hylton
Journal:  J Magn Reson Imaging       Date:  2018-10-22       Impact factor: 4.813

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