Patron Anri, Annala Leevi, Lainiala Olli, Paloneva Juha, Äyrämö Sami
Faculty of Information Technology, University of Jyväskylä, 40014 Jyväskylä, Finland.
Department of Radiology, Tampere University Hospital, 33520 Tampere, Finland.
Diagnostics (Basel). 2022 Oct 27;12(11):2603. doi: 10.3390/diagnostics12112603.
Efficient and scalable early diagnostic methods for knee osteoarthritis are desired due to the disease's prevalence. The current automatic methods for detecting osteoarthritis using plain radiographs struggle to identify the subjects with early-stage disease. Tibial spiking has been hypothesized as a feature of early knee osteoarthritis. Previous research has demonstrated an association between knee osteoarthritis and tibial spiking, but the connection to the early-stage disease has not been investigated. We study tibial spiking as a feature of early knee osteoarthritis. Additionally, we develop a deep learning based model for detecting tibial spiking from plain radiographs. We collected and graded 913 knee radiographs for tibial spiking. We conducted two experiments: experiments A and B. In experiment A, we compared the subjects with and without tibial spiking using Mann-Whitney U-test. Experiment B consisted of developing and validating an interpretative deep learning based method for predicting tibial spiking. The subjects with tibial spiking had more severe Kellgren-Lawrence grade, medial joint space narrowing, and osteophyte score in the lateral tibial compartment. The developed method achieved an accuracy of 0.869. We find tibial spiking a promising feature in knee osteoarthritis diagnosis. Furthermore, the detection can be automatized.
鉴于膝骨关节炎的患病率，人们期望有高效且可扩展的早期诊断方法。当前使用普通X线片检测骨关节炎的自动方法难以识别早期疾病患者。胫骨骨刺被认为是早期膝骨关节炎的一个特征。先前的研究已经证明了膝骨关节炎与胫骨骨刺之间的关联，但尚未研究其与早期疾病的联系。我们将胫骨骨刺作为早期膝骨关节炎的一个特征进行研究。此外，我们开发了一种基于深度学习的模型，用于从普通X线片中检测胫骨骨刺。我们收集并对913张膝部X线片的胫骨骨刺情况进行了分级。我们进行了两个实验：实验A和实验B。在实验A中，我们使用曼-惠特尼U检验比较了有和没有胫骨骨刺的受试者。实验B包括开发和验证一种基于深度学习的解释性方法来预测胫骨骨刺。有胫骨骨刺的受试者在Kellgren-Lawrence分级、内侧关节间隙变窄以及外侧胫骨髁间嵴骨赘评分方面更为严重。所开发的方法准确率达到了0.869。我们发现胫骨骨刺是膝骨关节炎诊断中一个有前景的特征。此外，检测可以实现自动化。
