{"created":"2023-05-15T15:02:08.483808+00:00","id":84277,"links":{},"metadata":{"_buckets":{"deposit":"1a0c79e3-9aac-4922-a158-386ab64cf9fb"},"_deposit":{"created_by":1,"id":"84277","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"84277"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00084277","sets":["10:29"]},"author_link":["1018053","1018060","1018052","1018074","1018080","1018079","1018078","1018057","1018084","1018055","1018058","1018077","1018082","1018075","1018083","1018064","1018069","1018070","1018073","1018076","1018085","1018081","1018072","1018059","1018056","1018066","1018062","1018054","1018071","1018063","1018061","1018068","1018065","1018067"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2021-11-26","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"【目的】非アルツハイマー型認知症のタウオパチーである進行性核上性麻痺(PSP)において，18F-PM-PBB3をプローブとするタウ病変PET画像による客観的な自動診断法を開発する．【方法】対象は健常高齢者(HC) 43例 (69.2 ± 7.0 [平均 ± 標準偏差]歳，女性 48.8%)，PSP 42例 (71.5 ± 7.1歳，女性 35.7%，MDS-PSP診断基準でprobable)，疾患対照としてパーキンソン病患者(PD) 8例 (70.6 ± 6.4歳，女性 12.5%) で，機械学習訓練用(75%)と診断能評価用(25%)に分けて解析した(stratified shuffle splitで10セット分作成)．マルチアトラス法を用いて脳実質112カ所の関心領域(ROI)を同定し，病変が少ない小脳皮質とのプローブ集積比(SUVR)を算出した．値は年齢，性別で補正し標準化した．各領域のSUVRと重み係数の積の総和(PSP tauスコア)によるPSP群対，HC+PD群の弁別能が最も高くなるように，機械学習(elastic net CV)により重み係数の最適化を行った．得られたスコアと重症度の相関も解析した．【結果】淡蒼球，中脳，被殻などが重み係数の高い弁別に重要なROIであった．評価用10セットデータのPSP tauスコアを平均化して解析した診断能は正確度 96.7%, 感度 95.1%, 特異度 98.0%であった．PSP tauスコアと重症度(PSP rating scale)は有意な相関を認めた(Spearman’s rs = 0.4, p = 0.009).【結論】18F-PM-PBB3 PETを用いてPSPの自動診断および重症度の予測に有望な手法を開発した．","subitem_description_type":"Abstract"}]},"item_10005_description_6":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"第40回日本認知症学会学術集会","subitem_description_type":"Other"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only 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