Relationship between medial meniscus extrusion and cartilage measurements in the knee by fully automatic three-dimensional MRI analysis

• Published in: BMC musculoskeletal disorders Vol. 21; no. 1; pp. 742 - 9
• Main Authors: Aoki, Hayato, Ozeki, Nobutake, Katano, Hisako, Hyodo, Akinobu, Miura, Yugo, Matsuda, Junpei, Takanashi, Kimiko, Suzuki, Kenji, Masumoto, Jun, Okanouchi, Noriya, Fujiwara, Takeo, Sekiya, Ichiro
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 12.11.2020; BioMed Central; BMC
• Subjects: 3D MRI; Adult; Aged; Arthritis; Cartilage; Cartilage, Articular - diagnostic imaging; CNN; Computer programs; Cross-Sectional Studies; Female; Femur; Humans; Image processing; Imaging, Three-Dimensional; Knee; Knee Joint - diagnostic imaging; Magnetic Resonance Imaging; Male; Medical diagnostic software; Medical examination; Menisci, Tibial - diagnostic imaging; Meniscus; Meniscus (Anatomy); Methods; Middle Aged; Musculoskeletal diseases; Neural networks; Osteoarthritis, Knee; Segmentation; Software; Three-dimensional imaging; U-net; Japan; 3D MRI; Cartilage; CNN; Meniscus; U-net
• DOI: 10.1186/s12891-020-03768-3
• ISSN: 1471-2474

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.