{"created":"2023-06-19T10:43:28.995484+00:00","id":3706,"links":{},"metadata":{"_buckets":{"deposit":"21e45438-3d92-48d4-a25d-03174d223c98"},"_deposit":{"created_by":11,"id":"3706","owners":[11],"pid":{"revision_id":0,"type":"depid","value":"3706"},"status":"published"},"_oai":{"id":"oai:shiga-med.repo.nii.ac.jp:00003706","sets":["30:261:262"]},"author_link":["8208","7911","8216","8214","8209","8210","8212","8213","8217","8207","8211","8215"],"item_4_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-10-06","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{},{"bibliographic_title":"Neuroradiology","bibliographic_titleLang":"en"}]}]},"item_4_creator_3":{"attribute_name":"著者別名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"渡邉, 嘉之"}],"nameIdentifiers":[{},{},{}]}]},"item_4_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Purpose:\nTo elucidate the effect of deep learning-based computer-assisted detection (CAD) on the performance of different-level physicians in detecting intracranial haemorrhage using CT. ","subitem_description_type":"Abstract"},{"subitem_description":"Methods:\nA total of 40 head CT datasets (normal, 16; haemorrhagic, 24) were evaluated by 15 physicians (5 board-certificated radiologists, 5 radiology residents, and 5 medical interns). The physicians attended 2 reading sessions without and with CAD. All physicians annotated the haemorrhagic regions with a degree of confidence, and the reading time was recorded in each case. Our CAD system was developed using 433 patients' head CT images (normal, 203; haemorrhagic, 230), and haemorrhage rates were displayed as corresponding probability heat maps using U-Net and a machine learning-based false-positive removal method. Sensitivity, specificity, accuracy, and figure of merit (FOM) were calculated based on the annotations and confidence levels. ","subitem_description_type":"Abstract"},{"subitem_description":"Results:\nIn patient-based evaluation, the mean accuracy of all physicians significantly increased from 83.7 to 89.7% (p < 0.001) after using CAD. Additionally, accuracies of board-certificated radiologists, radiology residents, and interns were 92.5, 82.5, and 76.0% without CAD and 97.5, 90.5, and 81.0% with CAD, respectively. The mean FOM of all physicians increased from 0.78 to 0.82 (p = 0.004) after using CAD. The reading time was significantly lower when CAD (43 s) was used than when it was not (68 s, p < 0.001) for all physicians. ","subitem_description_type":"Abstract"},{"subitem_description":"Conclusion:\nThe CAD system developed using deep learning significantly improved the diagnostic performance and reduced the reading time among all physicians in detecting intracranial haemorrhage. ","subitem_description_type":"Abstract"}]},"item_4_description_42":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_4_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer Nature"}]},"item_4_relation_10":{"attribute_name":"PubMed番号","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"33025044","subitem_relation_type_select":"PMID"}}]},"item_4_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"10.1007/s00234-020-02566-x"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/s00234-020-02566-x","subitem_relation_type_select":"DOI"}}]},"item_4_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© Springer-Verlag GmbH Germany, part of Springer Nature 2020"}]},"item_4_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1432-1920","subitem_source_identifier_type":"ISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"WATANABE, Yoshiyuki"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"TANAKA, Takahiro"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"NISHIDA, Atsushi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"TAKAHASHI, Hiroto"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"FUJIWARA, Masahiro"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"FUJIWARA, Takuya"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ARISAWA, Atsuko"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"YANO, Hiroki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"TOMIYAMA, Noriyuki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"NAKAMURA, Hajime"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"TODO, Kenichi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"YOSHIYA, Kazuhisa"}],"nameIdentifiers":[{}]}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Computed tomography","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Deep learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Diagnosis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Efficacy","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Intracranial haemorrhage","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Retrospective","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning-based computer-assisted detection.","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning-based computer-assisted detection."}]},"item_type_id":"4","owner":"11","path":["262"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-10-20"},"publish_date":"2020-10-20","publish_status":"0","recid":"3706","relation_version_is_last":true,"title":["Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning-based computer-assisted detection."],"weko_creator_id":"11","weko_shared_id":-1},"updated":"2023-06-19T12:00:52.589071+00:00"}