Bains, Lauren J; Zweifel, Martin; Thoeny, Harriet C (2012). Therapy response with diffusion MRI: an update. Cancer imaging, 12(2), pp. 395-402. London: e-med 10.1102/1470-7330.2012.9047
Full text not available from this repository.The efficiency of an oncological treatment regimen is often assessed by morphological criteria such as tumour size evaluated by cross-sectional imaging, or by laboratory measurements of plasma biomarkers. Because these types of measures typically allow for assessment of treatment response several weeks or even months after the start of therapy, earlier response assessment that provides insight into tumour function is needed. This is particularly urgent for the evaluation of newer targeted therapies and for fractionated therapies that are delivered over a period of weeks to allow for a change of treatment in non-responding patients. Diffusion-weighted MRI (DW-MRI) is a non-invasive imaging tool that does not involve radiation or contrast media, and is sensitive to tissue microstructure and function on a cellular level. DW-MRI parameters have shown sensitivity to treatment response in a growing number of tumour types and organ sites, with additional potential as predictive parameters for treatment outcome. A brief overview of DW-MRI principles is provided here, followed by a review of recent literature in which DW-MRI has been used to monitor and predict tumour response to various therapeutic regimens.
Item Type: |
Journal Article (Further Contribution) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology 04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Medical Oncology |
UniBE Contributor: |
Bains, Lauren, Zweifel, Martin, Thöny, Harriet C. |
ISSN: |
1740-5025 |
Publisher: |
e-med |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:36 |
Last Modified: |
05 Dec 2022 14:11 |
Publisher DOI: |
10.1102/1470-7330.2012.9047 |
PubMed ID: |
23022595 |
Web of Science ID: |
000321002000015 |
URI: |
https://boris.unibe.ch/id/eprint/14284 (FactScience: 221160) |
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