Literature DB >> 25695868

3-T breast diffusion-weighted MRI by echo-planar imaging with spectral spatial excitation or with additional spectral inversion recovery: an in vivo comparison of image quality.

Megan C Jacobsen1, Basak E Dogan, Beatriz E Adrada, Jeri Sue Plaxco, Wei Wei, Jong Bum Son, John D Hazle, Jingfei Ma.   

Abstract

OBJECTIVE: To compare conventional diffusion-weighted imaging (DWI) with spectral spatial excitation (cDWI) and an enhanced DWI with additional adiabatic spectral inversion recovery (eDWI) for 3-T breast magnetic resonance imaging (MRI).
METHODS: Twenty-four patients were enrolled in the study with both cDWI and eDWI. Three breast radiologists scored cDWI and eDWI images of each patient for fat-suppression quality, geometric distortion, visibility of normal structure and biopsy-proven lesions, and overall image quality. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) for evaluable tissues were measured. Statistical tests were performed for qualitative and quantitative comparisons.
RESULTS: Diffusion-weighted imaging with spectral spatial excitation yielded significantly higher CNR and SNR on a lesion basis, and higher glandular CNR and SNR and muscle SNR on a patient basis. Enhanced DWI also yielded significantly higher qualitative scores in all categories. No significant difference was found in ADC values.
CONCLUSIONS: Enhanced DWI provided superior image quality and higher CNR and SNR on a lesion basis. Enhanced DWI can replace cDWI for 3-T breast DWI.

Entities:  

Mesh:

Year:  2015        PMID: 25695868      PMCID: PMC4433452          DOI: 10.1097/RCT.0000000000000223

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  21 in total

1.  Diffusion-weighted imaging of normal fibroglandular breast tissue: influence of microperfusion and fat suppression technique on the apparent diffusion coefficient.

Authors:  Paul Baron; Monique D Dorrius; Peter Kappert; Matthijs Oudkerk; Paul E Sijens
Journal:  NMR Biomed       Date:  2010-02-03       Impact factor: 4.044

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Journal:  Radiology       Date:  1989-10       Impact factor: 11.105

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Journal:  J Comput Assist Tomogr       Date:  1985 Jul-Aug       Impact factor: 1.826

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Journal:  Radiology       Date:  1986-11       Impact factor: 11.105

5.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

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Journal:  Radiology       Date:  1989-03       Impact factor: 11.105

Review 7.  MR imaging of the breast for the detection, diagnosis, and staging of breast cancer.

Authors:  S G Orel; M D Schnall
Journal:  Radiology       Date:  2001-07       Impact factor: 11.105

8.  Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations.

Authors:  Anwar R Padhani; Guoying Liu; Dow Mu Koh; Thomas L Chenevert; Harriet C Thoeny; Taro Takahara; Andrew Dzik-Jurasz; Brian D Ross; Marc Van Cauteren; David Collins; Dima A Hammoud; Gordon J S Rustin; Bachir Taouli; Peter L Choyke
Journal:  Neoplasia       Date:  2009-02       Impact factor: 5.715

9.  Comparison of diffusion-weighted images using short inversion time inversion recovery or chemical shift selective pulse as fat suppression in patients with breast cancer.

Authors:  Toshiki Kazama; Katsuhiro Nasu; Yoshifumi Kuroki; Shigeru Nawano; Hisao Ito
Journal:  Jpn J Radiol       Date:  2009-06-06       Impact factor: 2.374

10.  Water diffusion in the different microenvironments of breast cancer.

Authors:  Yael Paran; Peter Bendel; Raanan Margalit; Hadassa Degani
Journal:  NMR Biomed       Date:  2004-06       Impact factor: 4.044

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