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

土屋, 充輝

doi:https://doi.org/10.1097/MD.0000000000019538

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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

名前 / ファイル	ライセンス	アクション
論文本文 (663.2 kB)

Item type

学位論文 / Thesis or Dissertation(1)

公開日

2021-05-10

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

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

open access

アクセス権URI

http://purl.org/coar/access_right/c_abf2

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

書誌情報

en : Medicine

巻 99, 号 12, p. e19538, 発行日 2020-03

出版者

Wolters Kluwer Health

言語

権利

言語

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

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

2020-09-18

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

Versions

Ver.1

2023-06-20 16:31:20.337765

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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

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