Abstract
BackgroundTo show magnetic resonance imaging (MRI) texture appearance change in non-Hodgkin lymphoma (NHL) during treatment with response controlled by quantitative volume analysis.MethodsA total of 19 patients having NHL with an evaluable lymphoma lesion were scanned at three imaging timepoints with 1.5T device during clinical treatment evaluation. Texture characteristics of images were analyzed and classified with MaZda application and statistical tests.ResultsNHL tissue MRI texture imaged before treatment and under chemotherapy was classified within several subgroups, showing best discrimination with 96% correct classification in non-linear discriminant analysis of T2-weighted images.Texture parameters of MRI data were successfully tested with statistical tests to assess the impact of the separability of the parameters in evaluating chemotherapy response in lymphoma tissue.ConclusionTexture characteristics of MRI data were classified successfully; this proved texture analysis to be potential quantitative means of representing lymphoma tissue changes during chemotherapy response monitoring.
Highlights
To show magnetic resonance imaging (MRI) texture appearance change in nonHodgkin lymphoma (NHL) during treatment with response controlled by quantitative volume analysis
After the first treatment cycle, the lymphoma mass volume had decreased in all patients
The goals of this study were show that a) MRI texture analysis can be used in NHL chemotherapy response evaluation b) statistical tests Wilcoxon paired test and R&R can be used to evaluate the separability of texture parameters used to describe textural changes in NHL
Summary
To show magnetic resonance imaging (MRI) texture appearance change in nonHodgkin lymphoma (NHL) during treatment with response controlled by quantitative volume analysis. Quantitative image analysis may provide new clinically relevant information on the target of interest, constituting a major advantage in clinical work as well as in research. Journal of Experimental & Clinical Cancer Research 2009, 28:87 http://www.jeccr.com/content/28/1/87 cal significance and which correlate with pathophysiology detected by other methods, i.e. clinical examination, other imaging modalities and pathological-anatomical diagnosis, and secondly to provide this new information on the properties of tissues to be used alone or in combination with other clinical information allowing more reliable detection of disease and sophisticated tissue classification as a clinical diagnostic and follow-up tool. According to the RECIST criteria measure of tumor response from radiological images is done by measuring lesions one-dimensionally, the World Health Organization (WHO) criteria use two dimensional analysis and several research groups volumetric three-dimensional analysis [2]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
