TY - JOUR
T1 - Bone marrow edema detection for diagnostic support of axial spondyloarthritis using MRI
AU - Kojima, Akira
AU - Tomita, Tetsuya
AU - Tsuji, Shigeyoshi
AU - Kadono, Yuho
AU - Tada, Kurisu
AU - Nozaki, Taiki
AU - Tamaki, Masashi
AU - Koyama, Yoshinobu
AU - Dobashi, Hiroaki
AU - Okano, Tadashi
AU - Kawaai, Satoshi
AU - Atsumi, Tatsuya
AU - Tamura, Naoto
AU - Matsumoto, Yoshifuji
AU - Goto, Hitoshi
AU - Taniguchi, Yoshinori
AU - Ueki, Yukitaka
AU - Takagi, Michiaki
AU - Matsui, Kiyoshi
AU - Hagimori, Kohei
AU - Shimizu, Akinobu
N1 - Publisher Copyright:
© CARS 2024.
PY - 2024/9
Y1 - 2024/9
N2 - 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.
AB - 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.
KW - Axial spondyloarthritis
KW - Bone marrow edema
KW - Explainability
KW - MRI
UR - https://www.scopus.com/pages/publications/85200225479
UR - https://www.scopus.com/pages/publications/85200225479#tab=citedBy
U2 - 10.1007/s11548-024-03228-6
DO - 10.1007/s11548-024-03228-6
M3 - Article
C2 - 39088129
AN - SCOPUS:85200225479
SN - 1861-6410
VL - 19
SP - 1699
EP - 1711
JO - International Journal of Computer Assisted Radiology and Surgery
JF - International Journal of Computer Assisted Radiology and Surgery
IS - 9
ER -