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ムラガキ ヨシヒロ
MURAGAKI Yoshihiro
村垣 善浩 所属 医学部 医学科（東京女子医科大学病院） 職種 客員教授 |
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| 論文種別 | 原著 |
| 言語種別 | 英語 |
| 査読の有無 | 査読あり |
| 表題 | Machine-Learning Approach for Modeling Myelosuppression Attributed to Nimustine Hydrochloride |
| 掲載誌名 | 正式名：JCO Clin Cancer Inform. |
| 掲載区分 | 国外 |
| 巻・号・頁 | (2),pp.e1-e21 |
| 著者・共著者 | SHIBAHARA Takuma†, IKUTA Soko, MURAGAKI Yoshihiro |
| 発行年月 | 2018/12 |
| 概要 | Abstract
PURPOSE: A major adverse effect arising from nimustine hydrochloride (ACNU) therapy for brain tumors is myelosuppression. Because its timing and severity vary among individual patients, the ACNU dose level has been adjusted in an empiric manner at individual medical facilities. To our knowledge, ours is the first study to develop a machine-learning approach to estimate myelosuppression through analysis of patient factors before treatment and attempts to clarify the relationship between myelosuppression and hematopoietic stem cells from daily clinical data. Adverse effect prediction will allow ACNU dose adjustment for patients predicted to have decreases in blood cell counts and will enable focused follow-up of patients undergoing chemoradiotherapy. |
| DOI | 10.1200/CCI.17.00022 |
| PMID | 30652567 |