アベ カヨコ   Abe Kayoko
  阿部 香代子
   所属   医学部 医学科(東京女子医科大学病院)
   職種   非常勤講師
論文種別 原著
言語種別 英語
査読の有無 査読あり
表題 Differentiation of the radiation-induced necrosis and tumor recurrence after gamma knife radiosurgery for brain metastases: importance of multi-voxel proton MRS
掲載誌名 正式名:Minim Invasive Neurosurg
ISSNコード:09467211
掲載区分国外
出版社 © Georg Thieme Verlag Stuttgart · New York
巻・号・頁 48(4),pp.228-234
著者・共著者 CHERNOV Mikhail, HAYASHI Motohiro, IZAWA Masahiro, OCHIAI Taku, YSUKURA Masao, ABE Kayoko, ONO Yuko, MURAGAKI Yoshihiro†, KUBO Osami, HORI Tomokatsu, TAKAKURA Kintomo
発行年月 2005/08
概要 Comparative analysis of the diagnostic accuracy of FDG PET, single-voxel, and multi-voxel proton MRS for differentiation between radiation-induced necrosis and tumor recurrence was done in 9 patients with brain metastases treated by gamma knife radiosurgery. In all cases enlargement of the lesion and increase of the perilesional edema were demonstrated by MRI on average 10.6+/-2.6 months after initial treatment. Radiation-induced necrosis was identified in 5 patients (histologically in 2, clinically in 3). In one of these a false positive result of FDG PET was observed, whereas data of proton MRS were always correct. The diagnosis of tumor recurrence was established in 4 patients (histologically in 3, clinically in 1). Among these both FDG PET and single-voxel proton MRS showed false negative results (each method twice), whereas multi-voxel proton MRS always permitted us to establish the correct diagnosis. The present study demonstrates the higher diagnostic accuracy of multi-voxel proton MRS, in comparison with single-voxel proton MRS and FDG PET, for the differentiation of the radiation-induced necrosis and tumor recurrence. Its use is especially important in mixed lesions with co-existence of both post-irradiation changes and viable neoplasm. Monitoring of the treatment response by serial multi-voxel proton MRS seems to be reasonable during follow-up of patients with brain metastases after radiosurgery.
DOI 10.1055/s-2005-870952
文献番号 16172969
PMID 16172969