Subchondral Bone Length in Knee Osteoarthritis: A Deep Learning-Derived Imaging Measure and Its Association With Radiographic and Clinical Outcomes.
Subchondral Bone Length in Knee Osteoarthritis: A Deep Learning-Derived Imaging Measure and Its Association With Radiographic and Clinical Outcomes.
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DOI：
10.1002/art.41808
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发表时间：
2021-12
期刊：
影响因子：
--
通讯作者：
Kolachalama VB
中科院分区：
文献类型：
--
作者：
Chang GH;Park LK;Le NA;Jhun RS;Surendran T;Lai J;Seo H;Promchotichai N;Yoon G;Scalera J;Capellini TD;Felson DT;Kolachalama VB
开发一种骨形状测量方法，反映膝骨关节炎 (OA) 中软骨损失和骨扁平的程度，并根据疾病严重程度的估计对其进行测试。训练基于区域的快速卷积神经网络，在从骨关节炎倡议 (OAI) 获得的矢状双回波稳态 MRI 序列中裁剪膝关节。使用公开的软骨和半月板注释作为参考来注释 61 个膝关节的胫骨和股骨。开发了另一个深度神经网络（U-Net）来学习这些注释。在独立测试集（27 个膝盖）上将模型预测与放射科医生驱动的注释进行比较。 U-Net 用于在较大的 OAI 数据集（9,434 个膝盖）上自动提取膝关节结构。我们定义了软骨下骨长度 (SBL)，这是一种表征覆盖软骨和骨扁平程度的新颖形状测量方法，并检查了其与放射学关节间隙狭窄 (JSN)、并发 WOMAC 疼痛和残疾以及随后的部分或全膝关节置换术 (KR) 的关系。使用 OAI 数据集上 SBL 的相对变化四分位数来估计每个结果的优势比。有 JSN 的膝关节的平均 SBL 值与无 JSN 的膝关节的平均 SBL 值始终不同。 SBL 相对于基线的较大变化与更大的疼痛和残疾相关。对于具有内侧或外侧 JSN 的膝盖，未来 KR 的 SBL 变化对应的最低和最高四分位数之间的比值比分别为 5.68 (95% CI:[3.90,8.27]) 和 7.19 (95% CI:[3.71,13.95])。 SBL 根据 JSN 严重性量化 OA 状态。它有望作为预测临床和结构性 OA 结果的影像标记物。
Develop a bone shape measure that reflects the extent of cartilage loss and bone flattening in knee osteoarthritis (OA) and test it against estimates of disease severity. A fast region-based convolutional neural network was trained to crop the knee joints in sagittal dual-echo steady state MRI sequences obtained from the Osteoarthritis Initiative (OAI). Publicly available annotations of the cartilage and menisci were used as references to annotate the tibia and the femur in 61 knees. Another deep neural network (U-Net) was developed to learn these annotations. Model predictions were compared with radiologist-driven annotations on an independent test set (27 knees). The U-Net was applied to automatically extract the knee joint structures on the larger OAI dataset (9,434 knees). We defined subchondral bone length (SBL), a novel shape measure characterizing the extent of overlying cartilage and bone flattening, and examined its relationship with radiographic joint space narrowing (JSN), concurrent WOMAC pain and disability as well as subsequent partial or total knee replacement (KR). Odds ratios for each outcome were estimated using relative changes in SBL on the OAI dataset into quartiles. Mean SBL values for knees with JSN were consistently different from knees without JSN. Greater changes of SBL from baseline were associated with greater pain and disability. For knees with medial or lateral JSN, the odds ratios between lowest and highest quartiles corresponding to SBL changes for future KR were 5.68 (95% CI:[3.90,8.27]) and 7.19 (95% CI:[3.71,13.95]), respectively. SBL quantified OA status based on JSN severity. It has promise as an imaging marker in predicting clinical and structural OA outcomes.
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DOI：
10.1109/tip.2009.2032341
发表时间：
2010-01
期刊：
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
影响因子：
--
作者：
Li L;Yang Y
通讯作者：
Yang Y
影响因子：
7
作者：
Bannuru, R. R.;Osani, M. C.;McAlindon, T. E.
通讯作者：
McAlindon, T. E.
影响因子：
27.4
作者：
Bowes MA;Kacena K;Alabas OA;Brett AD;Dube B;Bodick N;Conaghan PG
通讯作者：
Conaghan PG
影响因子：
10.9
作者：
Ambellan, Felix;Tack, Alexander;Zachow, Stefan
通讯作者：
Zachow, Stefan
影响因子：
4.7
作者：
Cotofana, Sebastian;Buck, Robert;Eckstein, Felix
通讯作者：
Eckstein, Felix