利用核磁共振成像检测骨髓水肿以支持轴性脊柱关节炎的诊断。

IF 2.3 3区 医学 Q3 ENGINEERING, BIOMEDICAL
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
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引用次数: 0

摘要

目的:本研究提出了一种以核磁共振成像(MRI)扫描为输入,检测骨髓水肿(BME)切片的方法。该流程无需手动输入 ROI,并提供切片上是否存在骨髓水肿的判断结果以及作为判断依据的水肿位置:首先,对骶髂关节核磁共振扫描的信号强度进行归一化处理,以减少扫描之间信号值的差异。然后,使用切片选择网络提取包含滑膜关节的切片。最后,BME 切片检测网络确定每个切片中是否存在 BME,并输出 BME 的位置:对从日本 15 家医院收集的 86 份核磁共振成像扫描结果应用了所提出的方法。结果表明,在滑膜关节范围上下切片错位的情况下,切片选择过程的平均绝对误差为 1.49 切片。BME切片检测网络的准确性、灵敏度和特异性分别为0.905、0.532和0.974:本文提出了一种检测 BME 切片及其位置的方法,以此作为核磁共振成像扫描的判断依据,并通过 86 例核磁共振成像扫描显示了其有效性。今后,我们计划开发一种从核磁共振扫描中检测骨侵蚀等其他结果的程序,然后开发一种诊断支持系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

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来源期刊
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
5.90
自引率
6.70%
发文量
243
审稿时长
6-12 weeks
期刊介绍: The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.
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