Advanced Treatment Planning Method for Gamma Knife Radiosurgery of Cerebral Arteriovenous Malformations.
- Author:
Geon Ho JANG
1
;
Young Jin LIM
;
Seong Eon HONG
;
Won LEEM
Author Information
1. Department of Radiation Oncology, School of Medicine, Kyung Hee University, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Stereotactic radiosurgery;
Gamma knife;
Cerebral arteriovenous malformation;
Angiography indicator
- MeSH:
Axis, Cervical Vertebra;
Central Nervous System;
Copper;
Humans;
Intracranial Arteriovenous Malformations*;
Radiosurgery*;
Weights and Measures;
X-Ray Film
- From:Journal of the Korean Society for Therapeutic Radiology
1995;13(1):87-94
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Since March 1992, total 200 patients who visited our hospital as functional or organic lesions of central nervous system were treated by gamma knife stereotactic radiosurgery for 27 months. Thirty-nine patients of total cases was diagnosed as cerebral arteriovenous malformation. The rate of magnificantion of X-ray film was reduced by cutting fixation adaptor from 1.6 to below 1.45 times. In order to treat the deep- and lateral-seated cerebral arteriovenous malformation, we slightly modified the angiographic indicator, the commercial leksell system, by cutting each inner sides about 5mm. We performed the more distinction fo the scales by adapting 0.5mm or 1mm copper filter to angiographic indicator. The center point of indicator(X=100mm, Y=100mm, z=100mm) is corrected by adjusting scales of X-, Y-, Z- axis to each inner 100 and outer 100 point within 1-2mm by repeated exposure of X-ray on films in trial-and-errors. We have developed the "GKANGIO" programmed as the Fortran-77 in Microvax -3100, which can save treatment planning time and perform accurate pretreatment planning using the theoretical target metrix center form accurate pretreatment planning using the theoretical target metrix center. The theoretical description of the simplified method is presented for the reduction of experimental and numerical errors in treatment planning of radiosurgery.
