ムラガキ ヨシヒロ   MURAGAKI Yoshihiro
  村垣 善浩
   所属   研究施設 研究施設
   職種   教授
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),e1-e21頁
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