| Home | E-Submission | Sitemap | Editorial Office |  
top_img
Journal of Korean Neurosurgical Society 1976;5(1): 25-44.
Diagnosis of Brain Lesion with Vertebral Angiography.
Joon Ki Kang, Choon Woong Huh, Chang Rak Choi, Jin Un Song, Kyung Sub Shin
1Department of Neurosurgery, Catholic Medical College, Seoul, Korea.
2Department of Radiology, Catholic Medical College, Seoul, Korea.
ABSTRACT
The authors analysed radiologic findings of the posterior fossa lesions as well as incisural and supratentorial lesions in 40 patients who were diagnosed by transfemoral serial vertebral angiography at Catholic Medical Center since October 1972 to April 1976. We also attempted to evaluate the diagnostic value in the diagnosis of the lesions according to the site of involvement. The tumors of the fourth ventricle or vermis demonstrated abnormal findings corresponding to the area of involvement, however the lesion could not be defined accurately with the study. Cerebellar hemispheric or tentorial tumors were diagnosed with considerable accuracy by vertebral angiography. Infratentorial vascular lesions were clearly demonstrated with serial vertebral angiography but the accuracy of diagnosis was argumented with subtraction technique. The evidence of compression of the brain stem was demonstrated with considerable accuracy by serial vertebral angiography. Furthermore exact site and direction of the compression could be outlined with the study. For the posterior temporal or occipital tumors which were not able to diagnose definitely with carotid angiography, considerable diagnostic accuracy was carried by the vertebral angiography. Definite diagnosis of the posterior third ventricle tumors or thalamic lesions was able to obtain with serial vertebral angiography.
Editorial Office
1F, 18, Heolleung-ro 569-gil, Gangnam-gu, Seoul, Republic of Korea
TEL: +82-2-525-7552   FAX: +82-2-525-7554   E-mail: office@jkns.or.kr
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © Korean Neurosurgical Society.                 Developed in M2PI
Close layer