Literature DB >> 21356480

Diffusion magnetic resonance imaging in cancer patient management.

Anwar R Padhani1.   

Abstract

Diffusion-weighted MRI (DW-MRI) is able to detect and characterize tissues because it incorporates sensitivity to water content and water movements into the images that are produced. Compared with other imaging modalities used in oncologic assessments, DW-MRI does not expose patients to ionizing radiations, and no injection of isotopes or any other contrast medium is necessary. Regional or whole-body examinations are possible in reasonably short examination times, allowing DW-MRI to be incorporated into oncologic imaging practice. The information obtained can be quantified and displayed as parametric maps, thus enabling spatial heterogeneity of tissues/tumors to be analyzed. Clinical applications for DW-MRI include lesion detection, characterization, and response assessments. DW-MRI has the potential to direct radiation therapy planning. In the response assessment setting, DW-MRI observations appear to reflect interactions between the mechanism of action of treatments and the underlying structural biology of tissues.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21356480     DOI: 10.1016/j.semradonc.2010.10.004

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  21 in total

1.  Imaging-based observational databases for clinical problem solving: the role of informatics.

Authors:  Alex A T Bui; William Hsu; Corey Arnold; Suzie El-Saden; Denise R Aberle; Ricky K Taira
Journal:  J Am Med Inform Assoc       Date:  2013-06-17       Impact factor: 4.497

Review 2.  Diffusion weighted imaging demystified: the technique and potential clinical applications for soft tissue imaging.

Authors:  Shivani Ahlawat; Laura M Fayad
Journal:  Skeletal Radiol       Date:  2017-11-20       Impact factor: 2.199

3.  Splenic Enlargement and Bone Marrow Hyperplasia in Patients Receiving Trastuzumab-Emtansine for Metastatic Breast Cancer.

Authors:  Michael Kosmin; Andreas Makris; Noorulhuda Jawad; David Woolf; David Miles; Anwar R Padhani
Journal:  Target Oncol       Date:  2017-04       Impact factor: 4.493

4.  Comparing primary tumors and metastatic nodes in head and neck cancer using intravoxel incoherent motion imaging: a preliminary experience.

Authors:  Yonggang Lu; Jacobus F A Jansen; Hilda E Stambuk; Gaorav Gupta; Nancy Lee; Mithat Gonen; Andre Moreira; Yousef Mazaheri; Snehal G Patel; Joseph O Deasy; Jatin P Shah; Amita Shukla-Dave
Journal:  J Comput Assist Tomogr       Date:  2013 May-Jun       Impact factor: 1.826

5.  Palatal lesions: discriminative value of conventional MRI and diffusion weighted imaging.

Authors:  Ying Yuan; Weiqing Tang; Mengda Jiang; Xiaofeng Tao
Journal:  Br J Radiol       Date:  2016-01-14       Impact factor: 3.039

6.  Improving CT-guided transthoracic biopsy of mediastinal lesions by diffusion-weighted magnetic resonance imaging.

Authors:  Marcos Duarte Guimarães; Bruno Hochhegger; Marcelo Felipe Kuperman Benveniste; Bruno Calazans Odisio; Jefferson Luiz Gross; Charles Edouard Zurstrassen; Chiang Cheng Tyng; Almir Galvão Vieira Bitencourt; Edson Marchiori
Journal:  Clinics (Sao Paulo)       Date:  2014-11       Impact factor: 2.365

7.  Bone marrow lesions: A systematic diagnostic approach.

Authors:  Filippo Del Grande; Sahar J Farahani; John A Carrino; Avneesh Chhabra
Journal:  Indian J Radiol Imaging       Date:  2014-07

Review 8.  Functional magnetic resonance imaging in oncology: state of the art.

Authors:  Marcos Duarte Guimaraes; Alice Schuch; Bruno Hochhegger; Jefferson Luiz Gross; Rubens Chojniak; Edson Marchiori
Journal:  Radiol Bras       Date:  2014 Mar-Apr

9.  Early effects of low dose bevacizumab treatment assessed by magnetic resonance imaging.

Authors:  Jon-Vidar Gaustad; Trude G Simonsen; Ragnhild Smistad; Catherine S Wegner; Lise Mari K Andersen; Einar K Rofstad
Journal:  BMC Cancer       Date:  2015-11-14       Impact factor: 4.430

10.  DW-MRI in assessment of the hypoxic fraction, interstitial fluid pressure, and metastatic propensity of melanoma xenografts.

Authors:  Tord Hompland; Christine Ellingsen; Kanthi Galappathi; Einar K Rofstad
Journal:  BMC Cancer       Date:  2014-02-15       Impact factor: 4.430

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