| Literature DB >> 35440033 |
Yiming Xu1,2, Bin Feng1,2, Yulei Dong1,2, Zhibo Zheng3,2, Yanyan Bian1,2, Xisheng Weng4,5.
Abstract
BACKGROUNDS: Mismatch between knee surface and prosthesis components is related to postoperative complications. Morphological differences between ethnicity and gender may affect prosthesis coverage. The purpose of this study is to describe morphological characters of resected knee surface (distal femur, proximal tibia) in the Chinese population, analyze the influence of gender and other demographical factors, and validate the effect of ethnic difference by calculating the coverage of Western-designed knee prostheses on Chinese knee surface.Entities:
Keywords: Anthropometry; Femur; Prothesis; Tibia; Total knee arthroplasty
Mesh:
Year: 2022 PMID: 35440033 PMCID: PMC9019938 DOI: 10.1186/s12893-022-01584-1
Source DB: PubMed Journal: BMC Surg ISSN: 1471-2482 Impact factor: 2.030
Fig. 1Diagram of the measurement of anthropometric parameters on (a) resected surface of femur and tibia (b) femoral and tibial test model
Fig. 2For Genesis-II and Scorpio NRG cases, (a, d) are femoral anteroposterior length (fAP) versus femoral mediolateral width (fML), (b, c, e, f) are tibial medial or lateral anteroposterior length (tMAP or tLAP) versus tibial mediolateral width (tML). Male cases are in blue and female cases are in red. Circles and tangents are drawn for evaluation of prosthesis coverage
Anthropometry parameters of cases receiving different knee prosthesis
| Parameter | Genesis-II | Scorpio NRG | NexGen LPS | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Male (mm) | Female (mm) | P value | Male (mm) | Female (mm) | P value | Male (mm) | Female (mm) | p value | |
| fosteo | 10.45 ± 2.50 | 9.75 ± 2.69 | 0.078 | 7.51 ± 3.86 | 7.13 ± 3.78 | 0.602 | 10.71 ± 1.52 | 10.02 ± 2.06 | 0.109 |
| fAP | 45.66 ± 3.46 | 43.71 ± 5.92 | < 0.001 | 45.51 ± 3.13 | 42.28 ± 3.91 | < 0.001 | 48.24 ± 6.80 | 44.12 ± 7.38 | < 0.001 |
| fML | 77.88 ± 3.94 | 69.89 ± 4.47 | < 0.001 | 75.71 ± 4.01 | 68.48 ± 3.08 | < 0.001 | 79.07 ± 2.88 | 69.68 ± 3.77 | < 0.001 |
| fAP/fML | 0.59 ± 0.05 | 0.63 ± 0.11 | < 0.001 | 0.60 ± 0.03 | 0.62 ± 0.06 | 0.018 | 0.61 ± 0.08 | 0.63 ± 0.10 | 0.308 |
| tosteo | 9.01 ± 2.45 | 8.53 ± 2.58 | 0.013 | 7.53 ± 3.56 | 7.00 ± 3.66 | 0.437 | 9.83 ± 1.61 | 9.35 ± 1.92 | 0.270 |
| tMAP | 52.65 ± 4.11 | 47.65 ± 4.06 | < 0.001 | 50.89 ± 3.32 | 47.56 ± 4.12 | < 0.001 | 52.81 ± 4.09 | 47.63 ± 2.59 | < 0.001 |
| tLAP | 47.96 ± 3.62 | 43.33 ± 2.69 | < 0.001 | 46.10 ± 2.64 | 42.54 ± 2.52 | < 0.001 | 48.14 ± 2.85 | 43.05 ± 2.61 | < 0.001 |
| tML | 77.64 ± 3.83 | 70.81 ± 4.30 | < 0.001 | 76.04 ± 5.96 | 70.50 ± 4.12 | < 0.001 | 78.12 ± 8.15 | 70.72 ± 3.24 | < 0.001 |
| tMAP/tLAP | 1.10 ± 0.10 | 1.10 ± 0.08 | 0.970 | 1.10 ± 0.05 | 1.12 ± 0.10 | 0.218 | 1.10 ± 1.10 | 1.11 ± 0.06 | 0.747 |
| tMAP/tML | 0.68 ± 0.05 | 0.67 ± 0.06 | 0.459 | 0.67 ± 0.04 | 0.68 ± 0.07 | 0.549 | 0.69 ± 0.11 | 0.67 ± 0.03 | 0.667 |
| tLAP/tML | 0.62 ± 0.04 | 0.61 ± 0.04 | 0.321 | 0.61 ± 0.05 | 0.61 ± 0.05 | 0.698 | 0.62 ± 0.09 | 0.61 ± 0.03 | 0.488 |
Multiple linear regression and partial correlation analysis of morphological parameters on demographical factors and parameters on the same surface
| Variable | Genesis-II | Scorpio NRG | NexGen LPS | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Standardized coefficients (beta) | P value | Pcorr value | Standardized coefficients (beta) | P value | Pcorr value | Standardized coefficients (beta) | p value | Pcorr value | |
| fAP | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | N/A | N/A | N/A | ||||||
| Height | 0.190 | < 0.001 | 0.213 | < 0.001 | < 0.001 | N/A | |||
| Weight | N/A | N/A | N/A | ||||||
| fML | N/A | 0.250 | 0.001 | 0.001 | 0.544 | < 0.001 | N/A | ||
| fML | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | 6.298 | < 0.001 | < 0.001 | 5.406 | < 0.001 | < 0.001 | 6.851 | < 0.001 | < 0.001 |
| Height | 0.169 | < 0.001 | < 0.001 | 0.159 | 0.001 | 0.001 | N/A | ||
| Weight | N/A | N/A | 0.141 | < 0.001 | < 0.001 | ||||
| fAP | N/A | 0.208 | 0.002 | 0.002 | 0.142 | 0.001 | 0.001 | ||
| fAP/fML | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | − 0.042 | < 0.001 | N/A | N/A | |||||
| Height | N/A | N/A | N/A | ||||||
| Weight | N/A | N/A | N/A | ||||||
| tMAP | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | 0.962 | 0.043 | 0.043 | N/A | 1.739 | 0.039 | 0.039 | ||
| Height | N/A | N/A | N/A | ||||||
| Weight | N/A | N/A | 0.060 | 0.020 | 0.020 | ||||
| tLAP | 0.567 | < 0.001 | < 0.001 | 0.452 | < 0.001 | < 0.001 | 0.261 | 0.010 | 0.010 |
| tML | 0.207 | < 0.001 | < 0.001 | 0.252 | < 0.001 | < 0.001 | 0.174 | 0.006 | 0.006 |
| tLAP | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | 0.937 | 0.005 | 0.005 | 1.772 | < 0.001 | < 0.001 | 2392 | 0.002 | 0.002 |
| Height | 0.114 | < 0.001 | < 0.001 | N/A | N/A | ||||
| Weight | N/A | 0.040 | 0.022 | 0.022 | N/A | ||||
| tMAP | 0.238 | < 0.001 | < 0.001 | 0.158 | 0.001 | 0.001 | 0.245 | 0.005 | 0.005 |
| tML | 0.198 | < 0.001 | < 0.001 | 0.171 | < 0.001 | < 0.001 | 0.193 | 0.001 | 0.001 |
| tML | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | 3.034 | < 0.001 | < 0.001 | N/A | N/A | ||||
| Height | N/A | 0.255 | < 0.001 | < 0.001 | 0.225 | 0.003 | 0.003 | ||
| Weight | 0.035 | 0.022 | 0.022 | N/A | N/A | ||||
| tMAP | 0.228 | < 0.001 | < 0.001 | 0.266 | 0.002 | 0.002 | 0.412 | 0.003 | 0.003 |
| tLAP | 0.505 | < 0.001 | < 0.001 | 0.531 | < 0.001 | < 0.001 | 0.496 | 0.001 | 0.001 |
| tMAP/tLAP | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | N/A | N/A | N/A | ||||||
| Height | N/A | N/A | N/A | ||||||
| Weight | N/A | N/A | N/A | ||||||
| tML | N/A | N/A | N/A | ||||||
| tMAP/tML | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | N/A | N/A | N/A | ||||||
| Height | N/A | N/A | N/A | ||||||
| Weight | N/A | N/A | N/A | ||||||
| tLAP | 0.002 | 0.001 | N/A | N/A | |||||
| tLAP/tML | |||||||||
| Age | N/A | N/A | N/A | ||||||
| Gender | N/A | N/A | N/A | ||||||
| Height | 0.001 | 0.008 | N/A | N/A | |||||
| Weight | N/A | N/A | N/A | ||||||
| tMAP | N/A | N/A | N/A | ||||||
Pcorr value is the P value of partial correlation analysis. N/A refers to exclusion from linear regression model
Anthropometry parameters of prosthesis systems
| Femur size | Genesis-II | Femur size | Scorpio NRG | ||||
|---|---|---|---|---|---|---|---|
| fAP (mm) | fML (mm) | fAP (mm) | fML (mm) | ||||
| 1# | 30.33 | 55.84 | 3# | 35.49 | 57.49 | ||
| 2# | 34.57 | 58.72 | 4# | 37.50 | 59.60 | ||
| 3# | 38.13 | 62.72 | 5# | 39.60 | 62.63 | ||
| 4# | 42.12 | 67.24 | 6# | 41.47 | 65.04 | ||
| 5# | 44.82 | 70.73 | 7# | 44.12 | 67.82 | ||
| 6# | 48.27 | 73.34 | 8# | 46.55 | 69.91 | ||
| 9# | 48.70 | 72.44 | |||||
| 11# | 53.65 | 77.38 | |||||
The simulated prosthesis coverage of knee resected surface
| Parameters | Genesis-II | Scorpio NRG | ||||
|---|---|---|---|---|---|---|
| Complete coverage | Relative coverage | No coverage | Complete coverage | Relative coverage | No coverage | |
| fAP-fML | 31.88% (161/505) | 61.58% (311/505) | 6.53% (33/505) | 38.60% (66/171) | 61.40% (105/171) | 0 |
| Male | 10.58% (11/104) | 68.27% (71/104) | 21.15% (22/104) | 11.11% (4/36) | 88.89% (32/36) | 0 |
| Female | 37.41% (150/401) | 59.85% (240/401) | 2.74% (11/401) | 45.93% (62/135) | 54.07% (73/135) | 0 |
| tMAP-tML | 57.62% (291/505) | 35.64% (180/505) | 6.73% (34/505) | 60.82% (104/171) | 39.18% (67/171) | 0 |
| tLAP-tML | 61.19% (309/505) | 32.48% (164/505) | 6.34% (32/505) | 27.49% (47/171) | 69.01% (118/171) | 3.51% (6/171) |
Fig. 3Two possible ways of prosthesis modification. a Introduction of new sizes having wider mediolateral width (shown as dashed circles) increases the femoral coverage. b Increase medial tibial anteroposterior length of Scorpio NRG using average asymmetry ratio (tMAP/tLAP) of Genesis-II, the new plot area has higher tibial coverage (shown in dashed circles and lines)