カワマタ　タカカズ   KAWAMATA Takakazu   川俣　貴一    所属   医学部 医学科（東京女子医科大学病院）    職種   教授・基幹分野長
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Possible role of single-voxel 1H-MRS in differential diagnosis of suprasellar tumors
掲載誌名	正式名：Journal of neuro-oncology 略　 称：J Neurooncol ISSNコード：0167594X/15737373
巻・号・頁	91(2),pp.191-198
著者・共著者	CHERNOV Mikhail F†, KAWAMATA Takakazu, AMANO Kosaku, ONO Yuko, SUZUKI Takashi, NAKAMURA Ryoichi, MURAGAKIi Yoshihiro, ISEKI Hiroshi, KUBO Osami, HORI Tomokatsu, TAKAKURA Kintomo
担当区分	2nd著者
発行年月	2009/01
概要	The objective of the present study was investigation of the possible role of proton magnetic resonance spectroscopy ((1)H-MRS) for differential diagnosis of suprasellar tumors. Forty patients (23 men and 17 women; median age, 45 years) with suprasellar, hypothalamic, and third ventricle neoplasms underwent long-echo (TR: 2000 ms, TE: 136 ms, 128-256 acquisitions) single-voxel (1)H-MRS before surgical treatment. The volume of the voxel was either 3.4 cc or 8 cc. Spectroscopic data were analyzed by calculation of the various metabolite ratios as well as by determination of the type of the pathological (1)H-MR spectra. There were 19 pituitary adenomas, 7 gliomas, 5 craniopharyngiomas, 3 chordomas, meningioma, hemangiopericytoma, malignant lymphoma, germinoma, Rathke cleft cyst, and hypothalamic hamartoma (one of each). Six tumors were recurrent after initial surgical resection with or without irradiation. Comparison of the individual metabolite ratios revealed only few subtle differences among neoplasms. In the same time, pattern analysis with determination of the type of the pathological (1)H-MR spectra disclosed certain specific characteristics, which seemingly can be used for tumor typing. Meanwhile, metabolic imaging was less effective for characterization of recurrent neoplasms. In conclusion, in cases of initially diagnosed suprasellar tumors with involvement of the hypothalamus and extension into the third ventricle pattern analysis of the single-voxel (1)H-MRS can provide valuable information, which, in addition to structural MRI, can be effectively used for diagnostic purposes.
DOI	0.1007/s11060-008-9698-y
PMID	18825316