Body Diffusion-weighted MR Imaging in Oncology: Imaging at 3 T

Dow-Mu Koh; Jeong-Min Lee; Leonardo Kayat Bittencourt; Matthew Blackledge; David J Collins

doi:10.1016/j.mric.2015.08.007

Body Diffusion-weighted MR Imaging in Oncology: Imaging at 3 T

Magn Reson Imaging Clin N Am. 2016 Feb;24(1):31-44. doi: 10.1016/j.mric.2015.08.007. Epub 2015 Oct 27.

Authors

Dow-Mu Koh¹, Jeong-Min Lee², Leonardo Kayat Bittencourt³, Matthew Blackledge⁴, David J Collins⁴

Affiliations

¹ Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton, SM2 5PT, UK. Electronic address: [email protected].
² Department of Radiology, Seoul National University Hospital, Seoul, South Korea.
³ Department of Radiology, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil; CDPI and Multi-Imagem Clinics, Rio de Janeiro, Brazil.
⁴ Institute of Cancer Research, Sutton, UK.

PMID: 26613874
DOI: 10.1016/j.mric.2015.08.007

Abstract

Advances in hardware and software enable high-quality body diffusion-weighted images to be acquired for oncologic assessment. 3.0 T affords improved signal/noise for higher spatial resolution and smaller field-of-view diffusion-weighted imaging (DWI). DWI at 3.0 T can be applied as at 1.5 T to improve tumor detection, disease characterization, and the assessment of treatment response. DWI at 3.0 T can be acquired on a hybrid PET-MR imaging system, to allow functional MR information to be combined with molecular imaging.

Keywords: Cancer; Diffusion MR; MR Imaging; Oncology.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Diffusion Magnetic Resonance Imaging / methods*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Multimodal Imaging / trends*
Neoplasms / pathology*
Positron-Emission Tomography / trends
Whole Body Imaging / methods*

Abstract

Publication types

MeSH terms

Grants and funding