Abstract Details

Title Self-Organizing Maps as a Complementary and Non-Invasive Technique for the Analysis of Brain Tumors

Topic Clinical Neurophysiology

Presentation(s) S39 - (-)

Poster/Presentation
Number 005

Objective

Background SOM is a vector-quantization based technique, designed to find patterns and domains in an n-dimensional image data (e.g., MR images) in an unsupervised fashion. It can be used to perform image-domaining of brain tissue on MR images, without prior knowledge.

Design/Methods We used SOM technique to analyze 3-Tesla T1, T2 and FLAIR acquisitions from 8 patients with brain tumors confirmed with biopsies- three lymphomas, two glioblastomas, one meningioma, one ganglioglioma, and one astrocytoma. The SOM software was used to analyze the data from the three image acquisitions from each patient and generated a self-organized map for each containing 25 clusters.

Results Damaged tissue was separated from the normal tissue using the SOM technique. Furthermore, in some cases it allowed to separate different areas from within the tumor - like edema/peritumoral infiltration and necrosis. In some cases, however, it is not clear if the map generated using SOM overestimates the area of the lesion, as in comparison to FLAIR, the lesion area in the resulting map appears bigger.

Conclusions Our preliminary results showed that SOM has te potential to be a powerful technique for the assessment of brain lesions. Little backgroung data is available, and more research is neeeded, if possible accompained by necropsy when possible.

Authors/Disclosures
Paulo A. Mei, MD PRESENTER	No disclosure on file
Ann H. Tilton, MD, FAAN (LSUHSC and Childrens Hospital of New Orleans)	Dr. Tilton has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Ipsen. Dr. Tilton has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Abbvie. Dr. Tilton has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Ipsen. Dr. Tilton has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Abbvie. Dr. Tilton has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Ipsen. Dr. Tilton has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Abbvie. Dr. Tilton has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Up to Date.
	No disclosure on file
	No disclosure on file
Li Li Min (FCM-UNICAMP)	No disclosure on file
	No disclosure on file

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