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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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1699-1711
Number of pages13
JournalInternational Journal of Computer Assisted Radiology and Surgery
Volume19
Issue number9
DOIs
Publication statusPublished - 2024 Sept

Keywords

  • Axial spondyloarthritis
  • Bone marrow edema
  • Explainability
  • MRI

ASJC Scopus subject areas

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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