Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V
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医学图像计算和计算机辅助干预 - MICCAI 2022 - 第 25 届国际会议，新加坡，2022 年 9 月 18-22 日，会议记录，第五部分
DOI：
10.1007/978-3-031-16443-9_1
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Ebsim R
中科院分区：
文献类型：
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作者：
Ebsim R
骨赘是骨关节炎（OA）的独特影像学特征，其形式为从关节突出的小骨刺，对症状有显著影响。确定骨赘的遗传决定因素将提高其生物学途径和OA的贡献的理解。迄今为止，由于在足够大的数据集中手动勾画骨赘相关的成本和挑战，这是不可能的。骨赘的自动分割系统将为这项研究铺平道路，并具有潜在的临床应用价值。我们建议，据我们所知，在髋关节双能X射线吸收扫描（DXAs）的骨赘自动化像素分割的第一项工作。基于U-Nets，我们开发了一个自动系统，用于检测和分割上级和下部股骨头以及髋臼外侧的骨赘。该系统实现了上级股骨头[793个DXA]、下股骨头[409个DXA]和髋臼外侧[760个DXA]的灵敏度、特异度和平均Dice评分（±标准差）分别为（0.98，0.92，）、（0.96，0.85，）。这项工作使骨赘在OA中的作用的大规模遗传分析成为可能，并为使用低辐射DXA筛查放射学髋关节OA打开了大门。
Osteophytes are distinctive radiographic features of osteo-arthritis (OA) in the form of small bone spurs protruding from joints that contribute significantly to symptoms. Identifying the genetic determinants of osteophytes would improve the understanding of their biological pathways and contributions to OA. To date, this has not been possible due to the costs and challenges associated with manually outlining osteophytes in sufficiently large datasets. Automatic systems that can segment osteophytes would pave the way for this research and also have potential clinical applications. We propose, to the best of our knowledge, the first work on automating pixel-wise segmentation of osteophytes in hip dual-energy x-ray absorptiometry scans (DXAs). Based on U-Nets, we developed an automatic system to detect and segment osteophytes at the superior and the inferior femoral head, and the lateral acetabulum. The system achieved sensitivity, specificity, and average Dice scores (±std) of (0.98, 0.92,) for the superior femoral head [793 DXAs], (0.96, 0.85,) for the inferior femoral head [409 DXAs], and (0.94, 0.73,) for the lateral acetabulum [760 DXAs]. This work enables large-scale genetic analyses of the role of osteophytes in OA, and opens doors to using low-radiation DXAs for screening for radiographic hip OA.