Literature DB >> 18239358

Practical aspects of assessing tumors using clinical diffusion-weighted imaging in the body.

Dow-Mu Koh1, Taro Takahara, Yutaka Imai, David J Collins.   

Abstract

Diffusion-weighted magnetic resonance (MR) imaging (DWI) is increasingly applied to evaluate tumors in the abdomen and pelvis. However, DWI is susceptible to a variety of artifacts that arise from motion, use of strong gradient pulses, and echo-planar imaging technique. We discuss practical issues to help radiologists optimize the use of DWI to evaluate tumors in the body, including breath-hold DWI, multiple-acquisition non-breath-hold DWI, and diffusion-weighted whole-body imaging with background body signal suppression (DWIBS). Considerations of meticulous technique, sequence optimization, and quality assurance are emphasized for consistent acquisition of high quality images. We illustrate the potential use of these techniques to detect and characterize tumors and to monitor treatment effects.

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Year:  2007        PMID: 18239358     DOI: 10.2463/mrms.6.211

Source DB:  PubMed          Journal:  Magn Reson Med Sci        ISSN: 1347-3182            Impact factor:   2.471


  60 in total

1.  The role of magnetic resonance imaging in oncology.

Authors:  Concepción González Hernando; Laura Esteban; Teresa Cañas; Enrique Van den Brule; Miguel Pastrana
Journal:  Clin Transl Oncol       Date:  2010-09       Impact factor: 3.405

2.  Whole-body diffusion-weighted magnetic resonance imaging with apparent diffusion coefficient mapping for staging patients with diffuse large B-cell lymphoma.

Authors:  Chieh Lin; Alain Luciani; Emmanuel Itti; Taoufik El-Gnaoui; Alexandre Vignaud; Pauline Beaussart; Shih-jui Lin; Karim Belhadj; Pierre Brugières; Eva Evangelista; Corinne Haioun; Michel Meignan; Alain Rahmouni
Journal:  Eur Radiol       Date:  2010-03-23       Impact factor: 5.315

3.  Cardiac motion in diffusion-weighted MRI of the liver: artifact and a method of correction.

Authors:  Joy Liau; Jimmy Lee; Michael E Schroeder; Claude B Sirlin; Mark Bydder
Journal:  J Magn Reson Imaging       Date:  2011-09-29       Impact factor: 4.813

4.  Evaluation of exercised or cooled skeletal muscle on the basis of diffusion-weighted magnetic resonance imaging.

Authors:  Osamu Yanagisawa; Daisuke Shimao; Katsuya Maruyama; Matthew Nielsen
Journal:  Eur J Appl Physiol       Date:  2008-12-16       Impact factor: 3.078

5.  Computed diffusion-weighted imaging using 3-T magnetic resonance imaging for prostate cancer diagnosis.

Authors:  Yoshiko Ueno; Satoru Takahashi; Kazuhiro Kitajima; Tokunori Kimura; Ikuo Aoki; Fumi Kawakami; Hideaki Miyake; Yoshiharu Ohno; Kazuro Sugimura
Journal:  Eur Radiol       Date:  2013-07-25       Impact factor: 5.315

6.  Multiparametric Whole-body MRI with Diffusion-weighted Imaging and ADC Mapping for the Identification of Visceral and Osseous Metastases From Solid Tumors.

Authors:  Michael A Jacobs; Katarzyna J Macura; Atif Zaheer; Emmanuel S Antonarakis; Vered Stearns; Antonio C Wolff; Thorsten Feiweier; Ihab R Kamel; Richard L Wahl; Li Pan
Journal:  Acad Radiol       Date:  2018-04-04       Impact factor: 3.173

Review 7.  [Whole-body diffusion-weighted imaging in oncology: technical aspects and practical relevance].

Authors:  J Kalkmann; T Lauenstein; J Stattaus
Journal:  Radiologe       Date:  2011-03       Impact factor: 0.635

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.  Diagnostic imaging to detect and evaluate response to therapy in bone metastases from prostate cancer: current modalities and new horizons.

Authors:  Laura Evangelista; Francesco Bertoldo; Francesco Boccardo; Giario Conti; Ilario Menchi; Francesco Mungai; Umberto Ricardi; Emilio Bombardieri
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-03-09       Impact factor: 9.236

10.  Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values.

Authors:  Pedro Augusto Gondim Teixeira; Frederique Gay; Bailiang Chen; Marie Zins; François Sirveaux; Jacques Felblinger; Alain Blum
Journal:  Skeletal Radiol       Date:  2015-12-01       Impact factor: 2.199

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