Literature DB >> 33778712

High-Spatial-Resolution Multishot Multiplexed Sensitivity-encoding Diffusion-weighted Imaging for Improved Quality of Breast Images and Differentiation of Breast Lesions: A Feasibility Study.

Isaac Daimiel Naranjo1, Roberto Lo Gullo1, Elizabeth A Morris1, Toni Larowin1, Maggie M Fung1, Arnaud Guidon1, Katja Pinker1, Sunitha B Thakur1.   

Abstract

Multishot multiplexed sensitivity-encoding diffusion-weighted imaging is a feasible and easily implementable routine breast MRI protocol that yields high-quality diffusion-weighted breast images.Purpose: To compare multiplexed sensitivity-encoding (MUSE) diffusion-weighted imaging (DWI) and single-shot DWI for lesion visibility and differentiation of malignant and benign lesions within the breast.Materials and
Methods: In this prospective institutional review board-approved study, both MUSE DWI and single-shot DWI sequences were first optimized in breast phantoms and then performed in a group of patients. Thirty women (mean age, 51.1 years ± 10.1 [standard deviation]; age range, 27-70 years) with 37 lesions were included in this study and underwent scanning using both techniques. Visual qualitative analysis of diffusion-weighted images was accomplished by two independent readers; images were assessed for lesion visibility, adequate fat suppression, and the presence of artifacts. Quantitative analysis was performed by calculating apparent diffusion coefficient (ADC) values and image quality parameters (signal-to-noise ratio [SNR] for lesions and fibroglandular tissue; contrast-to-noise ratio) by manually drawing regions of interest within the phantoms and breast tumor tissue. Interreader variability was determined using the Cohen κ coefficient, and quantitative differences between MUSE DWI and single-shot DWI were assessed using the Mann-Whitney U test; significance was defined at P < .05.
Results: MUSE DWI yielded significantly improved image quality compared with single-shot DWI in phantoms (SNR, P = .001) and participants (lesion SNR, P = .009; fibroglandular tissue SNR, P = .05; contrast-to-noise ratio, P = .008). MUSE DWI ADC values showed a significant difference between malignant and benign lesions (P < .001). No significant differences were found between MUSE DWI and single-shot DWI in the mean, maximum, and minimum ADC values (P = .96, P = .28, and P = .49, respectively). Visual qualitative analysis resulted in better lesion visibility for MUSE DWI over single-shot DWI (κ = 0.70).
Conclusion: MUSE DWI is a promising high-spatial-resolution technique that may enhance breast MRI protocols without the need for contrast material administration in breast screening.Keywords: Breast, MR-Diffusion Weighted Imaging, OncologySupplemental material is available for this article.© RSNA, 2020. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 33778712      PMCID: PMC7983772          DOI: 10.1148/rycan.2020190076

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  28 in total

1.  Sampling and reconstruction effects due to motion in diffusion-weighted interleaved echo planar imaging.

Authors:  D Atkinson; D A Porter; D L Hill; F Calamante; A Connelly
Journal:  Magn Reson Med       Date:  2000-07       Impact factor: 4.668

2.  Improved diffusion-weighted single-shot echo-planar imaging (EPI) in stroke using sensitivity encoding (SENSE).

Authors:  R Bammer; S L Keeling; M Augustin; K P Pruessmann; R Wolf; R Stollberger; H P Hartung; F Fazekas
Journal:  Magn Reson Med       Date:  2001-09       Impact factor: 4.668

3.  Diffusion-weighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis?

Authors:  Wolfgang Bogner; Stephan Gruber; Katja Pinker; Günther Grabner; Andreas Stadlbauer; Michael Weber; Ewald Moser; Thomas H Helbich; Siegfried Trattnig
Journal:  Radiology       Date:  2009-07-31       Impact factor: 11.105

4.  Correction for geometric distortion in echo planar images from B0 field variations.

Authors:  P Jezzard; R S Balaban
Journal:  Magn Reson Med       Date:  1995-07       Impact factor: 4.668

5.  Diffusion-weighted multiple shot echo planar imaging of humans without navigation.

Authors:  M D Robson; A W Anderson; J C Gore
Journal:  Magn Reson Med       Date:  1997-07       Impact factor: 4.668

6.  Breast MRI without gadolinium: utility of 3D DESS, a new 3D diffusion weighted gradient-echo sequence.

Authors:  Bruce L Daniel; Kristin L Granlund; Catherine J Moran; Marcus T Alley; Jafi Lipson; Debra M Ikeda; Jennifer Kao; Brian A Hargreaves
Journal:  Eur J Radiol       Date:  2012-09       Impact factor: 3.528

7.  Quantitative diffusion MRI using reduced field-of-view and multi-shot acquisition techniques: Validation in phantoms and prostate imaging.

Authors:  Yuxin Zhang; James Holmes; Iñaki Rabanillo; Arnaud Guidon; Shane Wells; Diego Hernando
Journal:  Magn Reson Imaging       Date:  2018-04-17       Impact factor: 2.546

8.  High-resolution diffusion-weighted imaging for the separation of benign from malignant BI-RADS 4/5 lesions found on breast MRI at 3T.

Authors:  Dorota J Wisner; Nathan Rogers; Vibhas S Deshpande; David N Newitt; Gerhard A Laub; David A Porter; John Kornak; Bonnie N Joe; Nola M Hylton
Journal:  J Magn Reson Imaging       Date:  2013-11-08       Impact factor: 4.813

9.  Motion-robust reconstruction of multishot diffusion-weighted images without phase estimation through locally low-rank regularization.

Authors:  Yuxin Hu; Evan G Levine; Qiyuan Tian; Catherine J Moran; Xiaole Wang; Valentina Taviani; Shreyas S Vasanawala; Jennifer A McNab; Bruce A Daniel; Brian L Hargreaves
Journal:  Magn Reson Med       Date:  2018-10-22       Impact factor: 4.668

10.  Interleaved EPI based fMRI improved by multiplexed sensitivity encoding (MUSE) and simultaneous multi-band imaging.

Authors:  Hing-Chiu Chang; Pooja Gaur; Ying-hui Chou; Mei-Lan Chu; Nan-kuei Chen
Journal:  PLoS One       Date:  2014-12-30       Impact factor: 3.240

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  2 in total

1.  Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients.

Authors:  Reza Fardanesh; Sunitha B Thakur; Varadan Sevilimedu; Joao V Horvat; Roberto Lo Gullo; Jeffrey S Reiner; Sarah Eskreis-Winkler; Nikita Thakur; Katja Pinker
Journal:  Front Oncol       Date:  2022-02-23       Impact factor: 6.244

2.  The Value of CT Perfusion Parameters and Apparent Diffusion Coefficient Value of Magnetic Resonance Diffusion Weighted Imaging in Diagnosis of Hepatocellular Carcinoma.

Authors:  Kezhen Li; Baiping Wang
Journal:  Comput Math Methods Med       Date:  2022-09-27       Impact factor: 2.809

  2 in total

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