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Bone marrow edema detection for diagnostic support of axial spondyloarthritis using MRI

  • Akira Kojima
  • , Tetsuya Tomita
  • , Shigeyoshi Tsuji
  • , Yuho Kadono
  • , Kurisu Tada
  • , Taiki Nozaki
  • , Masashi Tamaki
  • , Yoshinobu Koyama
  • , Hiroaki Dobashi
  • , Tadashi Okano
  • , Satoshi Kawaai
  • , Tatsuya Atsumi
  • , Naoto Tamura
  • , Yoshifuji Matsumoto
  • , Hitoshi Goto
  • , Yoshinori Taniguchi
  • , Yukitaka Ueki
  • , Michiaki Takagi
  • , Kiyoshi Matsui
  • , Kohei Hagimori
  • Akinobu Shimizu

研究成果: Article査読

抄録

Purpose: This study proposes a process for detecting slices with bone marrow edema (BME), a typical finding of axSpA, using MRI scans as the input. This process does not require manual input of ROIs and provides the results of the judgment of the presence or absence of BME on a slice and the location of edema as the rationale for the judgment. Methods: First, the signal intensity of the MRI scans of the sacroiliac joint was normalized to reduce the variation in signal values between scans. Next, slices containing synovial joints were extracted using a slice selection network. Finally, the BME slice detection network determines the presence or absence of the BME in each slice and outputs the location of the BME. Results: The proposed method was applied to 86 MRI scans collected from 15 hospitals in Japan. The results showed that the average absolute error of the slice selection process was 1.49 slices for the misalignment between the upper and lower slices of the synovial joint range. The accuracy, sensitivity, and specificity of the BME slice detection network were 0.905, 0.532, and 0.974, respectively. Conclusion: This paper proposes a process to detect the slice with BME and its location as the rationale of the judgment from an MRI scan and shows its effectiveness using 86 MRI scans. In the future, we plan to develop a process for detecting other findings such as bone erosion from MR scans, followed by the development of a diagnostic support system.

本文言語English
ページ(範囲)1699-1711
ページ数13
ジャーナルInternational Journal of Computer Assisted Radiology and Surgery
19
9
DOI
出版ステータスPublished - 2024 9月

ASJC Scopus subject areas

  • 外科
  • 生体医工学
  • 放射線学、核医学およびイメージング
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用
  • 健康情報学
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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