{"created":"2024-11-08T07:04:38.355802+00:00","id":2001977,"links":{},"metadata":{"_buckets":{"deposit":"6afa6fe4-3d60-4d75-9f50-a2ab5f92bb8a"},"_deposit":{"created_by":42,"id":"2001977","owners":[42],"pid":{"revision_id":0,"type":"depid","value":"2001977"},"status":"published"},"_oai":{"id":"oai:kindai.repo.nii.ac.jp:02001977","sets":["14:2667:1728522335637:1728528474285"]},"author_link":[],"control_number":"2001977","item_1693378644159":{"attribute_name":"研究分担者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"33908","affiliationNameIdentifierScheme":"kakenhi"}],"affiliationNames":[{"affiliationName":"中京大学","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"目加田, 慶人","creatorNameLang":"ja"},{"creatorName":"Mekada, Yoshito","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"00282377","nameIdentifierScheme":"e-Rad"}]}]},"item_1693381679919":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"=資源タイプ識別子":"http://purl.org/coar/resource_type/c_93fc","resourcetype":"report","resourceuri":"http://purl.org/coar/resource_type/c_93fc"}]},"item_30001_bibliographic_information17":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicNumberOfPages":"23","bibliographic_titles":[{"bibliographic_title":"科学研究費助成事業研究成果報告書 (2023)","bibliographic_titleLang":"ja"}]}]},"item_30001_creator2":{"attribute_name":"研究代表者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"34419","affiliationNameIdentifierScheme":"kakenhi"}],"affiliationNames":[{"affiliationName":"近畿大学","affiliationNameLang":"ja"},{"affiliationName":"Kindai University","affiliationNameLang":"en"}]}],"creatorNames":[{"creatorName":"西田, 直生志","creatorNameLang":"ja"},{"creatorName":"Nishida, Naoshi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"60281755","nameIdentifierScheme":"e-Rad_Researcher"}]}]},"item_30001_description8":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"154例の肝癌を用い、免疫染色と遺伝子変異にて免疫チェックポイント阻害剤(ICI)の効果予測モデルを作成した。ICI治療を受けたテストコホートで、モデルは無増悪生存期間を層別化した。画像情報からレンバチニブ治療の病勢制御予測モデルを開発した。96例の肝癌例でRadiomics特徴量を抽出、ニューラルネットワーク（NN）モデルではLightGBMモデルと比較し良好な精度であった。相互情報量を特徴量の関連性尺度として、少ない特徴量で精度の高いモデルを作成した。Radiomics特徴量であるGLSZM(Gray Level Size Zone Matrix)が判別に有用であり、予測精度が向上した。","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"We developed an AI to predict the efficacy of immune checkpoint inhibitors (ICIs) for hepatocellular carcinoma (HCC). 154 HCC tissues were used to classify tumors based on mutation, histopathology and imaging information. Using scores generated by CD8+ lymphocytes, PD-L1, and β-catenin activation, progression-free survival for PD-1 antibody treatment was successfully stratified in test cohort.Another model was also developed to predict disease control by lenvatinib using imaging information. Radiomics features were extracted from CT, and compared to the LightGBM model, the neural network (NN) model showed better performance with the average correct response rate was 0.58. To further improve accuracy, we used the mutual information as a measure of the relevance of features to create a better model with fewer features. As a result, the GLSZM (Gray Level Size Zone Matrix), a radiomics feature, was particularly useful for discrimination with better performance.","subitem_description_language":"en","subitem_description_type":"Abstract"},{"subitem_description":"研究分野：消化器内科","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_30001_file22":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","filename":"21K07184seika.pdf","filesize":[{"value":"460.4 KB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://kindai.repo.nii.ac.jp/record/2001977/files/21K07184seika.pdf"},"version_id":"a01a3bdf-35bf-47e7-b450-344ef201b680"}]},"item_30001_funding_reference15":{"attribute_name":"助成情報","attribute_value_mlt":[{"subitem_award_numbers":{"subitem_award_number":"21K07184","subitem_award_uri":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K07184/"},"subitem_award_titles":[{"subitem_award_title":"医用画像とimmunogenomicsを用いた人工知能による肝癌薬物療法の最適化","subitem_award_title_language":"ja"},{"subitem_award_title":"Development of AI for the drug therapy of hepatocellular carcinoma using medical image and immunogenomics","subitem_award_title_language":"en"}],"subitem_funder_names":[{"subitem_funder_name":"独立行政法人日本学術振興会","subitem_funder_name_language":"ja"},{"subitem_funder_name":"Japan Society for the Promotion of Science","subitem_funder_name_language":"en"}]}]},"item_30001_language10":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_30001_subject7":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"肝細胞癌","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"薬物療法","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"人工知能","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"医用画像","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"腫瘍免疫微小環境","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"免疫チェックポイント阻害剤","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"ドライバー変異","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"遺伝子変異","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_30001_title0":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"医用画像とimmunogenomicsを用いた人工知能による肝癌薬物療法の最適化","subitem_title_language":"ja"},{"subitem_title":"Development of AI for the drug therapy of hepatocellular carcinoma using medical image and immunogenomics","subitem_title_language":"en"}]},"item_30001_version_type12":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_title":"医用画像とimmunogenomicsを用いた人工知能による肝癌薬物療法の最適化","item_type_id":"40001","owner":"42","path":["1728528474285"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-11-08"},"publish_date":"2024-11-08","publish_status":"0","recid":"2001977","relation_version_is_last":true,"title":["医用画像とimmunogenomicsを用いた人工知能による肝癌薬物療法の最適化"],"weko_creator_id":"42","weko_shared_id":-1},"updated":"2024-12-09T05:52:24.346364+00:00"}