{"created":"2023-06-20T15:49:09.639479+00:00","id":3723,"links":{},"metadata":{"_buckets":{"deposit":"02e7e4bd-9878-432d-a516-8f17286824a8"},"_deposit":{"created_by":4,"id":"3723","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"3723"},"status":"published"},"_oai":{"id":"oai:hama-med.repo.nii.ac.jp:00003723","sets":["2:15:17"]},"author_link":["10944"],"item_5_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"低線量かつ比較的厚いスライスのCTにおける大変形微分同相メトリックマッピングとアダプティブボクセルマッチングに基づく経時差分法を用いた骨転移検出: STARD準拠論文","subitem_alternative_title_language":"ja"}]},"item_5_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicPageStart":"e19538","bibliographicVolumeNumber":"99","bibliographic_titles":[{"bibliographic_title":"Medicine","bibliographic_titleLang":"en"}]}]},"item_5_date_granted_17":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2020-09-18"}]},"item_5_degree_grantor_15":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_language":"ja","subitem_degreegrantor_name":"浜松医科大学"}],"subitem_degreegrantor_identifier":[{"subitem_degreegrantor_identifier_name":"13802","subitem_degreegrantor_identifier_scheme":"kakenhi"}]}]},"item_5_degree_name_12":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"博士（医学）","subitem_degreename_language":"ja"}]},"item_5_description_13":{"attribute_name":"学位の区分","attribute_value_mlt":[{"subitem_description":"doctoral","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_5_description_14":{"attribute_name":"学位の分野","attribute_value_mlt":[{"subitem_description":"医学系研究科","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_5_description_9":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"To evaluate the improvement of radiologist performance in detecting bone metastases at follow up low-dose computed tomography (CT) by using a temporal subtraction (TS) technique based on an advanced nonrigid image registration algorithm.\nTwelve patients with bone metastases (males, 5; females, 7; mean age, 64.8±7.6 years; range 51?81 years) and 12 control patients without bone metastases (males, 5; females, 7; mean age, 64.8±7.6 years; 51?81 years) were included, who underwent initial and follow-up CT examinations between December 2005 and July 2016. Initial CT images were registered to follow-up CT images by the algorithm, and TS images were created. Three radiologists independently assessed the bone metastases with and without the TS images. The reader averaged jackknife alternative free-response receiver operating characteristics figure of merit was used to compare the diagnostic accuracy.\nThe reader-averaged values of the jackknife alternative free-response receiver operating characteristics figures of merit (θ) significantly improved from 0.687 for the readout without TS and 0.803 for the readout with TS (P value=.031. F statistic=5.24). The changes in the absolute value of CT attenuations in true-positive lesions were significantly larger than those in false-negative lesions (P<.001). Using TS, segment-based sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the readout with TS were 66.7%, 98.9%, 94.4%, 90.9%, and 94.8%, respectively.\nThe TS images can significantly improve the radiologist’s performance in the detection of bone metastases on low-dose and relatively thick-slice CT.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_5_dissertation_number_18":{"attribute_name":"学位授与番号","attribute_value_mlt":[{"subitem_dissertationnumber":"甲第844号"}]},"item_5_publisher_6":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Wolters Kluwer Health","subitem_publisher_language":"en"}]},"item_5_relation_26":{"attribute_name":"PubMed番号","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"32195958","subitem_relation_type_select":"PMID"}}]},"item_5_relation_28":{"attribute_name":"出版社DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1097/MD.0000000000019538","subitem_relation_type_select":"DOI"}}]},"item_5_rights_7":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright 2020 the Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.","subitem_rights_language":"en"}]},"item_5_source_id_19":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0025-7974","subitem_source_identifier_type":"PISSN"}]},"item_5_source_id_20":{"attribute_name":"EISSN","attribute_value_mlt":[{"subitem_source_identifier":"1536-5964","subitem_source_identifier_type":"EISSN"}]},"item_5_version_type_32":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"土屋, 充輝","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"10944","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-05-10"}],"displaytype":"detail","filename":"DT_844ronbun.pdf","filesize":[{"value":"663.2 kB"}],"format":"application/pdf","licensetype":"license_9","mimetype":"application/pdf","url":{"label":"論文本文","objectType":"fulltext","url":"https://hama-med.repo.nii.ac.jp/record/3723/files/DT_844ronbun.pdf"},"version_id":"1d1118ba-38eb-4b20-8382-c74364e7b2c3"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"computer-assisted diagnosis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"multidetector computed tomography","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"neoplasm metastases","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"positron emission tomography-computed tomography","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"sensitivity and specificity","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"subtraction technique","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":"doctoral thesis","resourceuri":"http://purl.org/coar/resource_type/c_db06"}]},"item_title":"Temporal subtraction of low-dose and relatively thick-slice CT images with large deformation diffeomorphic metric mapping and adaptive voxel matching for detection of bone metastases: A STARD-compliant article","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Temporal subtraction of low-dose and relatively thick-slice CT images with large deformation diffeomorphic metric mapping and adaptive voxel matching for detection of bone metastases: A STARD-compliant article","subitem_title_language":"en"}]},"item_type_id":"5","owner":"4","path":["17"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-05-10"},"publish_date":"2021-05-10","publish_status":"0","recid":"3723","relation_version_is_last":true,"title":["Temporal subtraction of low-dose and relatively thick-slice CT images with large deformation diffeomorphic metric mapping and adaptive voxel matching for detection of bone metastases: A STARD-compliant article"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-10-13T07:20:50.464149+00:00"}