The Keio Journal of Medicine
Online ISSN : 1880-1293
Print ISSN : 0022-9717
Radiosurgical Treatment Planning for Intracranial AVM Based on Images Generated by Principal Component Analysis - A Simulation Study
Osamu KawaguchiYoshiyuki NyuiEtsuo KuniedaSatoshi OnozukaNobuhiro TsukamotoJunichi FukadaToshio OhashiSubaru HashimotoKoichi OgawaAtsushi Kubo
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2009 Volume 58 Issue 1 Pages 41-49


Background: One of the most important factors in stereotactic radiosurgery (SRS) for intracranial arteriovenous malformation (AVM) is to determine accurate target delineation of the nidus. However, since intracranial AVMs are complicated in structure, it is often difficult to clearly determine the target delineation.
Purpose: To investigate the usefulness of principal component analysis (PCA) on intra-arterial contrast enhanced dynamic CT (IADCT) images as a tool for delineating accurate target volumes for stereotactic radiosurgery of AVMs.
Materials and Methods: IADCT and intravenous contrast-enhanced CT (IVCT) were used to examine 4 randomly selected cases of AVM. PCA images were generated from the IADCT data. The first component images were considered feeding artery predominant, the second component images were considered draining vein predominant, and the third component images were considered background. Target delineations were first carried out from IVCT, and then again while referring to the first and second components of the PCA images. Dose calculation simulations for radiosurgical treatment plans with IVCT and PCA images were performed. Dose volume histograms of the vein areas as well as the target volumes were compared.
Results: In all cases, the calculated target volumes based on IVCT images were larger than those based on PCA images, and the irradiation doses for the vein areas were reduced.
Conclusion: In this study, we simulated radiosurgical treatment planning for intracranial AVM based on PCA images. By using PCA images, the irradiation doses for the vein areas were substantially reduced.

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© 2009 by The Keio Journal of Medicine
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