Institute of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Graduate School of Health Sciences, Morinomiya University of Medical Sciences, Osaka, Japan.
Int J Comput Assist Radiol Surg. 2024 Sep;19(9):1699-1711. doi: 10.1007/s11548-024-03228-6. Epub 2024 Aug 1.
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.
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.
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.
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.
本研究提出了一种利用 MRI 扫描作为输入来检测骨髓水肿(BME)切片的方法。该方法不需要手动输入 ROI,并提供了判断切片上是否存在 BME 以及水肿位置的判断依据。
首先,对骶髂关节的 MRI 扫描信号强度进行归一化处理,以减少扫描之间信号值的变化。然后,使用切片选择网络提取包含滑膜关节的切片。最后,BME 切片检测网络判断每个切片中是否存在 BME,并输出水肿的位置。
该方法应用于从日本 15 家医院收集的 86 份 MRI 扫描。结果表明,在滑膜关节上下层之间的错位情况下,切片选择过程的平均绝对误差为 1.49 个切片。BME 切片检测网络的准确性、敏感性和特异性分别为 0.905、0.532 和 0.974。
本文提出了一种从 MRI 扫描中检测 BME 切片及其位置作为判断依据的方法,并通过 86 份 MRI 扫描证明了其有效性。未来,我们计划开发一种从 MR 扫描中检测其他发现(如骨侵蚀)的方法,随后开发一个诊断支持系统。