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  1. C. 医薬保健学域; 医学類・薬学類・医薬科学類・保健学類
  2. c 10. 学術雑誌掲載論文(医・保健)
  3. 1. 査読済論文(医学・保健)

Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.

https://doi.org/10.24517/00053811
https://doi.org/10.24517/00053811
def2988d-7462-458e-b75a-83a6ea229e25
名前 / ファイル ライセンス アクション
ME-PR-SHIBUTANI-T-86.pdf ME-PR-SHIBUTANI-T-86.pdf (813.2 kB)
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Item type 学術雑誌論文 / Journal Article(1)
公開日 2019-04-25
タイトル
タイトル Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
ID登録
ID登録 10.24517/00053811
ID登録タイプ JaLC
著者 Shibutani, Takayuki

× Shibutani, Takayuki

WEKO 84176
e-Rad 80762509

Shibutani, Takayuki

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Nakajima, Kenichi

× Nakajima, Kenichi

WEKO 1342
e-Rad 0167545
金沢大学研究者情報 60355047
研究者番号 60355047

Nakajima, Kenichi

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Wakabayashi, Hiroshi

× Wakabayashi, Hiroshi

WEKO 22187
e-Rad 60622818

Wakabayashi, Hiroshi

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Mori, Hiroshi

× Mori, Hiroshi

WEKO 84188

Mori, Hiroshi

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Matsuo, Shinro

× Matsuo, Shinro

WEKO 77700
e-Rad 30359773

Matsuo, Shinro

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Yoneyama, Hiroto

× Yoneyama, Hiroto

WEKO 45385

Yoneyama, Hiroto

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Konishi, Takahiro

× Konishi, Takahiro

WEKO 21403

Konishi, Takahiro

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Okuda, Koichi

× Okuda, Koichi

WEKO 20957

Okuda, Koichi

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Onoguchi, Masahisa

× Onoguchi, Masahisa

WEKO 20906
e-Rad 30283120

Onoguchi, Masahisa

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Kinuya, Seigo

× Kinuya, Seigo

WEKO 22513
e-Rad 20281024

Kinuya, Seigo

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著者別表示 澁谷, 孝行

× 澁谷, 孝行

澁谷, 孝行

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中嶋, 憲一

× 中嶋, 憲一

中嶋, 憲一

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若林, 大志

× 若林, 大志

若林, 大志

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松尾, 信郎

× 松尾, 信郎

松尾, 信郎

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米山, 寛人

× 米山, 寛人

米山, 寛人

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小野口, 昌久

× 小野口, 昌久

小野口, 昌久

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絹谷, 清剛

× 絹谷, 清剛

絹谷, 清剛

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提供者所属
内容記述タイプ Other
内容記述 金沢大学医薬保健研究域保健学系
書誌情報 Annals of Nuclear Medicine

巻 33, 号 2, p. 86-92, 発行日 2019-02-25
ISSN
収録物識別子タイプ ISSN
収録物識別子 0914-7187
NCID
収録物識別子タイプ NCID
収録物識別子 AA10708017
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 10.1007/s12149-018-1306-4
出版者
出版者 日本核医学会 = Japanese Society of Nuclear Medicine
抄録
内容記述タイプ Abstract
内容記述 Objectives
The patient-based diagnosis with an artificial neural network (ANN) has shown potential utility for the detection of coronary artery disease; however, the region-based accuracy of the detected regions has not been fully evaluated. The aim of this study was to demonstrate the accuracy of all detected regions compared with expert interpretation.
\nMethods
A total of 109 abnormal regions including 33 regions with stress defects and 76 regions with ischemia were examined, which were derived from 21 patients who underwent myocardial perfusion SPECT within 45 days of coronary angiography. The gray and color scale images, a polar map of stress, rest and difference, and left ventricular function were displayed on the monitor to score the extent and severity of stress defect and ischemia. Two experienced nuclear medicine physicians (Observers A and B) scored the abnormality with a 4-point scale and draw abnormal regions on a polar map. The gold standard was determined by the final judgment of normal or abnormal by the consensus of two other independent expert nuclear cardiologists, and was compared with the stress defect and ischemia derived from ANN.
\nResults
The concordance rate of ANN to the gold standard was higher than that of two observers. Furthermore, the κ coefficient indicated moderate to substantial agreement for stress defect and slight to the fair agreement for ischemia. The area under the curve (AUC) of ANN was the highest for both stress defect and ischemia; in particular, the ANN of ischemia showed significantly higher AUC than Observer A (p = 0.005). The ANN of stress defect showed higher specificity compared with two observers, while the ANN of ischemia showed higher sensitivity. Consequently, the accuracy of ANN showed the highest in this study.
\nConclusion
The ANN-based regional diagnosis showed a high concordance rate with the gold standard and comparable or even higher than the interpretation by nuclear medicine physicians.
内容記述
内容記述タイプ Other
内容記述 Embargo Period 12 months
権利
権利情報 Copyright © 日本核医学会 Japanese Society of Nuclear Medicine
著者版フラグ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
関連URI
識別子タイプ URI
関連識別子 https://link.springer.com/article/10.1007%2Fs12149-018-1306-4
関連名称 https://link.springer.com/article/10.1007%2Fs12149-018-1306-4
関連URI
識別子タイプ URI
関連識別子 http://www.jsnm.org/
関連名称 http://www.jsnm.org/
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