Relationship between medial meniscus extrusion and cartilage measurements in the knee by fully automatic three-dimensional MRI analysis.
Relationship between medial meniscus extrusion and cartilage measurements in the knee by fully automatic three-dimensional MRI analysis.
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DOI：
10.1186/s12891-020-03768-3
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发表时间：
2020-11-12
影响因子：
2.3
通讯作者：
Sekiya I
中科院分区：
文献类型：
--
作者：
Aoki H;Ozeki N;Katano H;Hyodo A;Miura Y;Matsuda J;Takanashi K;Suzuki K;Masumoto J;Okanouchi N;Fujiwara T;Sekiya I
我们开发了一种全自动三维膝关节MRI分析软件，可以量化半月板挤出和软骨测量，包括投影软骨面积比（PCAR），它代表受试者的实际软骨面积与理想软骨面积的比值。我们还收集了来自“神奈川膝关节研究”的561名志愿者（年龄30-79岁）的3D MRI膝关节数据。我们的目的是使用膝关节MRI验证软件自动软骨和半月板分割的准确性，并检查内侧半月板挤出测量值与神奈川膝关节研究数据中软骨测量值之间的关系。我们通过随机选择10名健康志愿者和103名膝关节疼痛患者来构建软件的神经网络。我们通过随机选择这113个受试者中的108个进行训练来验证该算法，并从其他5个受试者中确定Dice相似系数。我们使用所有数据（113名受试者）构建了一个神经网络进行训练。通过使用经过训练的软件对神奈川膝关节研究数据进行量化，并研究其与受试者身高的关系。我们还量化了内侧半月板覆盖率（MMCR），定义为内侧半月板区域和内侧胫骨软骨区域之间的重叠面积与内侧胫骨软骨区域的比率。最后，我们研究了位于胫骨内侧软骨9个亚区中心的中中央胫骨内侧（mcMT）亚区MMCR和PCAR之间的关系。软骨和半月板的骰子相似系数均约为0.9。股骨和胫骨软骨厚度和体积在每个区域与高度相关，但PCAR在大多数情况下与高度无关。mcMT的PCAR与MMCR显著相关。我们的软件对膝关节软骨和半月板的分割精度很高。PCAR比软骨厚度或体积更有用，因为它受身高的影响较小。在我们的横断面研究中，观察了胫骨内侧软骨测量值与内侧半月板挤压测量值之间的关系。UMIN，UMIN 000032826; 2018年9月1日，
We developed a fully automatic three-dimensional knee MRI analysis software that can quantify meniscus extrusion and cartilage measurements, including the projected cartilage area ratio (PCAR), which represents the ratio of the subject’s actual cartilage area to their ideal cartilage area. We also collected 3D MRI knee data from 561 volunteers (aged 30–79 years) from the “Kanagawa Knee Study.” Our purposes were to verify the accuracy of the software for automatic cartilage and meniscus segmentation using knee MRI and to examine the relationship between medial meniscus extrusion measurements and cartilage measurements from Kanagawa Knee Study data. We constructed a neural network for the software by randomly choosing 10 healthy volunteers and 103 patients with knee pain. We validated the algorithm by randomly selecting 108 of these 113 subjects for training, and determined Dice similarity coefficients from five other subjects. We constructed a neural network using all data (113 subjects) for training. Cartilage thickness, cartilage volume, and PCAR in the medial femoral, lateral femoral, medial tibial, and lateral tibial regions were quantified by using the trained software on Kanagawa Knee Study data and their relationship with subject height was investigated. We also quantified the medial meniscus coverage ratio (MMCR), defined as the ratio of the overlapping area between the medial meniscus area and the medial tibial cartilage area to the medial tibial cartilage area. Finally, we examined the relationship between MMCR and PCAR at middle central medial tibial (mcMT) subregion located in the center of nine subregions in the medial tibial cartilage. Dice similarity coefficients for cartilage and meniscus were both approximately 0.9. The femoral and tibial cartilage thickness and volume at each region correlated with height, but PCAR did not correlate with height in most settings. PCAR at the mcMT was significantly correlated with MMCR. Our software showed high segmentation accuracy for the knee cartilage and meniscus. PCAR was more useful than cartilage thickness or volume since it was less affected by height. Relations ips were observed between the medial tibial cartilage measurements and the medial meniscus extrusion measurements in our cross-sectional study. UMIN, UMIN000032826; 1 September 2018,
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影响因子：
5.9
作者：
Roth M;Emmanuel K;Wirth W;Kwoh CK;Hunter DJ;Eckstein F
通讯作者：
Eckstein F
影响因子：
10.9
作者：
Ambellan, Felix;Tack, Alexander;Zachow, Stefan
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Zachow, Stefan
影响因子：
5.9
作者：
Wenger, Andrea;Englund, Martin;Eckstein, Felix
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Eckstein, Felix
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7
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Peterfy CG;Schneider E;Nevitt M
通讯作者：
Nevitt M
影响因子：
7
作者：
Buck, R. J.;Wyman, B. T.;Eckstein, F.
通讯作者：
Eckstein, F.