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Parametric Histogram Analysis of Dynamic Contrast-enhanced MRI in Multiple Myeloma A Technique to Evaluate Angiogenic Response to Therapy?
MedLine Citation:
PMID:  22142682     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
RATIONALE AND OBJECTIVES: From dynamic contrast-enhanced magnetic resonance imaging, it is known that microcirculation patterns in multiple myeloma differ depending on the infiltration pattern. The purpose of this study was to evaluate histogram analysis of dynamic contrast-enhanced magnetic resonance imaging in MM to monitor early treatment response on the basis of microcirculation patterns. MATERIALS AND METHODS: A total of 51 patients with multiple myeloma requiring therapy were examined. Dynamic contrast-enhanced magnetic resonance imaging of the lumbar spine was performed before and after conventional or high-dose chemotherapy with autologous stem cell transplantation. Statistical analysis included 245 vertebrae and dynamic microcirculation parameters as displayed in histograms. Resulting parameters (amplitude, exchange rate constant, skewness, kurtosis, and left shift) were correlated with therapeutic response. RESULTS: More than 70% of histograms derived from the microcirculation parameters showed a difference between the maximum peak before and after therapy (left shift). However, there was no significant difference between the particular treatment. Significantly different skewness of amplitude in 98% and kurtosis of exchange rate constant (94.1% and 98%) were seen in the patients who responded to treatment (P for each < .05). CONCLUSIONS: Histogram analysis revealed early changes after therapy resulting in a shift toward more (kurtosis) and lower values (skewness) of microcirculation parameters. Therefore, histogram analysis can determine and describe if a chosen therapy works at all. However, there were no differences between the chosen therapies. This needs to be reevaluated in a larger number of treated patients. Histogram analysis can also be an adjunct to a subjective visual analysis but is hampered by heterogeneous infiltration pattern seen in multiple myeloma.
Authors:
Christian M Zechmann; Lisa Traine; Tobias Meißner; Barbara Wagner-Gund; Frederik L Giesel; Hartmut Goldschmidt; Stefan Delorme; Jens Hillengass
Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Academic radiology     Volume:  19     ISSN:  1878-4046     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2011-12-6     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9440159     Medline TA:  Acad Radiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  100-108     Citation Subset:  -    
Copyright Information:
Copyright © 2012 AUR. Published by Elsevier Inc. All rights reserved.
Affiliation:
Department of Radiology, German Cancer Research Center, Heidelberg, Germany; Department of Nuclear Medicine, University of Heidelberg, Heidelberg, Germany.
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