WEKO3
アイテム
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
http://hdl.handle.net/10271/00003852
http://hdl.handle.net/10271/00003852316e1101-2c7a-4328-b8a6-b0215106d448
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
論文本文 (663.2 kB)
|
.png)
|
| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2021-05-10 | |||||||
| タイトル | ||||||||
| タイトル | 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 | |||||||
| 言語 | en | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題 | computer-assisted diagnosis | |||||||
| キーワード | ||||||||
| 主題 | multidetector computed tomography | |||||||
| キーワード | ||||||||
| 主題 | neoplasm metastases | |||||||
| キーワード | ||||||||
| 主題 | positron emission tomography-computed tomography | |||||||
| キーワード | ||||||||
| 主題 | sensitivity and specificity | |||||||
| キーワード | ||||||||
| 主題 | subtraction technique | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||
| 資源タイプ | doctoral thesis | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| その他のタイトル | ||||||||
| その他のタイトル | 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 | |||||||
| 著者 |
土屋, 充輝
× 土屋, 充輝
|
|||||||
| 書誌情報 |
en : Medicine 巻 99, 号 12, p. e19538, 発行日 2020-03 |
|||||||
| 出版者 | ||||||||
| 出版者 | Wolters Kluwer Health | |||||||
| 言語 | en | |||||||
| 権利 | ||||||||
| 言語 | en | |||||||
| 権利情報 | 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. | |||||||
| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | 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. Twelve 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. The 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. The TS images can significantly improve the radiologist’s performance in the detection of bone metastases on low-dose and relatively thick-slice CT. |
|||||||
| 言語 | en | |||||||
| 学位名 | ||||||||
| 学位名 | 博士（医学） | |||||||
| 学位の区分 | ||||||||
| 内容記述 | doctoral | |||||||
| 学位の分野 | ||||||||
| 内容記述 | 医学系研究科 | |||||||
| 学位授与機関 | ||||||||
| 学位授与機関識別子Scheme | kakenhi | |||||||
| 学位授与機関識別子 | 13802 | |||||||
| 学位授与機関名 | 浜松医科大学 | |||||||
| 学位授与年月日 | ||||||||
| 学位授与年月日 | 2020-09-18 | |||||||
| 学位授与番号 | ||||||||
| 学位授与番号 | 甲第844号 | |||||||
| ISSN | ||||||||
| 収録物識別子タイプ | PISSN | |||||||
| 収録物識別子 | 0025-7974 | |||||||
| EISSN | ||||||||
| 収録物識別子タイプ | EISSN | |||||||
| 収録物識別子 | 1536-5964 | |||||||
| PubMed番号 | ||||||||
| 識別子タイプ | PMID | |||||||
| 関連識別子 | 32195958 | |||||||
| 出版社DOI | ||||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | https://doi.org/10.1097/MD.0000000000019538 | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | VoR | |||||||
