14 June 2022: Clinical Research
Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from Magnetic Resonance (MR) Images Using a Deep Learning Model
Xiongfeng Tang 1ABCEF , Deming Guo 1BF , Aie Liu 2ACDE , Dijia Wu 2ADE , Jianhua Liu 3BCD , Nannan Xu 3BDF , Yanguo Qin 1ACDG*DOI: 10.12659/MSM.936733
Med Sci Monit 2022; 28:e936733
Table 4 Nonparametric test results of the association between quantitative biomarkers of OA.
| Total | Control | OA | P-value | ||
|---|---|---|---|---|---|
| Basic information | Number | 290 | 162 | 128 | |
| Age | 49 (35–60) | 37.5 (29–48) | 60 (53–67) | ||
| Volume (mm) | FC | 10269.5 (9168–11983) | 11178 (9486–12837) | 9758.5 (8777–10819) | |
| LTC | 2361 (1991–2854) | 2458 (2224–3044) | 2117 (1824–2588) | ||
| MTC | 2184 (1855–2526) | 2352 (1964–2678) | 2038 (1745.5–2324) | 0.003 | |
| LM | 1631.5 (1346.0–1982) | 1696.5 (1449–2090) | 1530.5 (1221–1778) | ||
| MM | 1898.5 (1561–2224) | 1986.5 (1634–2320) | 1828 (1437–2125.5) | ||
| Thickness (mm) | FC | 1.42 (1.35–1.49) | 1.45 (1.38–1.54) | 1.38 (1.31–1.45) | 0.001 |
| LTC | 2.92 (2.67–3.2) | 2.91 (2.73–3.21) | 2.90 (2.62–3.18) | 0.599 | |
| MTC | 3.07 (2.78–3.3) | 3.11 (2.79–3.35) | 3.05 (2.76–3.24) | 0.137 | |
| LM | 1.28 (1.12–1.41) | 1.32 (1.16–1.46) | 1.20 (1.06–1.36) | ||
| MM | 1.19 (1.06–1.32) | 1.24 (1.13–1.34) | 1.16 (1.01–1.28) | 0.001 | |
| JSW (mm) | L_JSW | 3.76 (3.34–4.38) | 3.79 (3.44–4.38) | 3.71 (3.14–4.38) | 0.076 |
| M_JSW | 3.49 (3.14–3.93) | 3.52 (3.18–4.06) | 3.45 (3.00–3.87) | 0.061 | |
| Min_JSW | 3.37 (3.08–3.75) | 3.44 (3.16–3.75) | 3.19 (2.86–3.63) | 0.001 | |
| Coverage (%) | L_Cov | 47 (40–52) | 47 (41–52) | 45 (36–52) | 0.144 |
| M_Cov | 47 (41–53) | 48 (42–53) | 46 (38–53) | 0.059 | |
| FC – femoral cartilage; JSW – joint space width; LM – lateral meniscus; LTC – lateral tibial cartilage; MM – medial meniscus; MTC – medial tibial cartilage; OA – osteoarthritis. | |||||