Literature DB >> 22434697

Tumor response assessments with diffusion and perfusion MRI.

Sonia P Li1, Anwar R Padhani.   

Abstract

There is an increasing awareness that the evaluation of tumor response to oncologic treatments based solely on anatomic imaging assessments face many limitations, particularly in this era of novel biologic targeted therapies. Functional imaging techniques such as diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) have the ability to depict important tumor biologic features and are able to predict therapy response based on assessments of cellularity and tumor vascularity, which often precede morphologic alterations. In this article we focus on DW-MRI and DCE-MRI as response parameters addressing the technologies involved, quantification methods, and validation for each technique and their current role in imaging response to conventional and novel therapies. We also discuss the challenges that lie ahead in the deployment of these imaging methods into the clinical environment.
Copyright © 2011 Wiley Periodicals, Inc.

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Mesh:

Year:  2012        PMID: 22434697     DOI: 10.1002/jmri.22838

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  73 in total

1.  Practical estimate of gradient nonlinearity for implementation of apparent diffusion coefficient bias correction.

Authors:  Dariya I Malkyarenko; Thomas L Chenevert
Journal:  J Magn Reson Imaging       Date:  2014-12       Impact factor: 4.813

2.  Characterisation of solitary pulmonary lesions combining visual perfusion and quantitative diffusion MR imaging.

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Journal:  Eur Radiol       Date:  2013-10-31       Impact factor: 5.315

3.  Analysis and correction of gradient nonlinearity bias in apparent diffusion coefficient measurements.

Authors:  Dariya I Malyarenko; Brian D Ross; Thomas L Chenevert
Journal:  Magn Reson Med       Date:  2014-03       Impact factor: 4.668

Review 4.  Functional MRI and CT biomarkers in oncology.

Authors:  J M Winfield; G S Payne; N M deSouza
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-13       Impact factor: 9.236

5.  Magnetic Resonance Imaging for Drug Development.

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Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

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Authors:  Rachel Riechelmann; Axel Grothey
Journal:  Ther Adv Med Oncol       Date:  2016-11-10       Impact factor: 8.168

7.  Histogram analysis of apparent diffusion coefficients after neoadjuvant chemotherapy in breast cancer.

Authors:  Yun Ju Kim; Sung Hun Kim; Ah Won Lee; Min-Sun Jin; Bong Joo Kang; Byung Joo Song
Journal:  Jpn J Radiol       Date:  2016-08-12       Impact factor: 2.374

Review 8.  Functional and molecular MRI of the bone marrow in multiple myeloma.

Authors:  Vassilis Koutoulidis; Nickolas Papanikolaou; Lia A Moulopoulos
Journal:  Br J Radiol       Date:  2018-02-13       Impact factor: 3.039

Review 9.  The role of functional imaging in the era of targeted therapy of renal cell carcinoma.

Authors:  Margarita Braunagel; Anno Graser; Maximilian Reiser; Mike Notohamiprodjo
Journal:  World J Urol       Date:  2013-04-16       Impact factor: 4.226

10.  Measurement of Tissue interstitial volume in healthy patients and those with amyloidosis with equilibrium contrast-enhanced MR imaging.

Authors:  Steve Bandula; Sanjay M Banypersad; Daniel Sado; Andrew S Flett; Shonit Punwani; Stuart A Taylor; Philip N Hawkins; James C Moon
Journal:  Radiology       Date:  2013-05-14       Impact factor: 11.105

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