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Tumour response prediction by diffusion-weighted MR imaging: Ready for clinical use?
MedLine Citation:
PMID:  22269446     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND: The efficacy of anticancer therapy is usually evaluated by anatomical imaging. However, this method may be suboptimal for the evaluation of novel treatment modalities, such as targeted therapy. Theoretically, functional assessment of tumour response by diffusion weighted imaging (DWI) is an attractive tool for this purpose and may allow an early prediction of response. The optimal use of this method has still to be determined. METHOD: We reviewed the published literature on clinical DWI in the prediction of response to anticancer therapy, especially targeted therapy. Studies investigating the role of DWI in patients with cancer either for response prediction and/or response monitoring were selected for this analysis. RESULTS: We identified 24 studies that met our criteria. Most studies showed a significant correlation between (changes in) apparent diffusion coefficient (ADC) values and treatment response. However, in different tumours and studies, both high and low pretreatment ADC were found to be associated with response rate. In the course of treatment, an increase in ADC was associated with response in most cases. CONCLUSION: The potential of DWI for (early) response monitoring of anticancer therapies has been demonstrated. However, validation is hampered by the lack of reproducibility and standardisation. We recommend that these issues should be properly addressed prior to further testing the clinical use of DWI in the assessment of treatments.
Authors:
Linda Heijmen; Maartje C H M Verstappen; Edwin E G W Ter Voert; Cornelis J A Punt; Wim J G Oyen; Lioe-Fee de Geus-Oei; John J Hermans; Arend Heerschap; Hanneke W M van Laarhoven
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-1-21
Journal Detail:
Title:  Critical reviews in oncology/hematology     Volume:  -     ISSN:  1879-0461     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-1-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8916049     Medline TA:  Crit Rev Oncol Hematol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Department of Medical Oncology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
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