ニツタ　マサユキ   Nitsuta Masayuki   新田　雅之    所属   医学部 医学科（東京女子医科大学病院）    職種   助教
言語種別	英語
発表タイトル	Rapid intraoperative flow cytometry of brain tumor useful for surgical decision-making
会議名	The 2021 Society for Neuro-Oncology the 26th Annual Scientific Meeting and Education Day
学会区分	国際学会及び海外の学会
発表形式	口頭
講演区分	一般
発表者・共同発表者	◎MURAGAKI Yoshihiro, KORIYAMA Shunichi, SAITO Taiichi, NITTA Masayuki, KOMORI Takashi, KAWAMATA Takakazu
発表年月日	2021/11/18
開催地 （都市, 国名）	Boston,USA(web)
開催期間	2021/11/18～2021/11/21
学会抄録	Neuro-Oncology 23(Supplement6),vi227 2021
概要	Flow cytometry is a measuring device frequently used in basic research, we have developed a fully automatic flow cytometer device that performs cell isolation, staining of cell nuclei, and measurement for intraoperative diagnosis. Placing a small specimen in a reagent containing PI calculates, the total number of cells, the DNA histogram, and the Malignancy Index (MI), which means in the proliferation phase, the ratio of the number of cells (S, G2, M) / total number of cells. The major feature of this device is that calculating takes only 10 minutes by thoroughly reviewing the pro cess. We here introduce our study of this device, rapid diagnosis, WHO grading, prognosis in glioma, and differentiation from malignant lymphoma (PCNSL), then how to use it in decision making in the operation. In the analysis of 323 gliomas, the threshold between the peripheral brain and the tumor was 7%, and the MI value was correlated with WHO grade (II 13%, III 35%, IV 47%) (J Neurosurg 2013). A correlation was also found be tween the MI value and the number of residual tumors (Brain Tumor Path 2018). Furthermore, it was also useful for differentiating from PCNSL with many S-phase cells (World Neurosurg 2018). In addition, the relationship between the presence of DNA aneuploidy and poor prognosis in 102 grade II patients (Clin Neuro Neurosurg 2018), and the high MI in 102 grade IV patients showed a good prognosis and an inverse correlation with expect ations (Neurosurg 2018). Intraoperative flow cytometry has enabled various intraoperative decision-making support by converting intraoperative hist ology, which was an analog-like transmission, into digitized histological information. In the future, the development of this research makes expect ations for more accurate diagnosis and prediction by artificial intelligence and the development of other departments.