| Literature DB >> 35978914 |
Shuai Li1, Ping Lei2, Yuan Liu1, Cen Chen2, Dehua Yang1, Xin Li2, Shao-Tao Tang1.
Abstract
The sternum is one of the most important components of the chest wall. However, to the best of our knowledge, at present there is no reference value of the sternum length in normal Han Chinese children that has been published in the literature. The aim of the present study was therefore to establish the reference value of sternum length in a normal Han Chinese population of different ages and sex groups. Chest computed tomography scans and three-dimensional reconstruction images of 1,080 individuals who were younger than 18 years old and without congenital or acquired structural anomalies or congenital metabolic diseases were retrospectively reviewed. The length of the sternum was measured for each individual and comparisons of the sternum length according to sex were conducted using the Mann-Whitney test. Age or region group comparisons were performed using the ANOVA test, and the association between the length of the sternum and age was assessed by regression analysis. A significant association between the age (x) of the individual and the length of the sternum (y) was confirmed, although different regression patterns were identified for the sexes (the regression equation for males was y=5.616x+60.408; P<0.001; R2=0.890, whereas that for females was y=-0.134x2+6.543x+56.805; P<0.001, R2=0.890). No significant differences in sternum length were identified between the sexes for subjects aged 1-13 years old, whereas significant differences were observed comparing the sexes of the subjects aged 14-18 years old. In conclusion, the present study revealed that the length of the sternum in normal Han Chinese children can be precisely estimated by the age of the child using our formulae for the different sexes (where the most-fit formulae for the two sexes are different). This knowledge can be applied clinically in chest wall deformity assessment, and in surgery planning. Copyright: © Li et al.Entities:
Keywords: Chinese; chest wall; children; development; sternum
Year: 2022 PMID: 35978914 PMCID: PMC9366273 DOI: 10.3892/etm.2022.11496
Source DB: PubMed Journal: Exp Ther Med ISSN: 1792-0981 Impact factor: 2.751
Figure 1Flow diagram of the study subjects extraction.
Figure 2Definition of the length of the sternum. (A-C) Multiplanar reformatted MDCT images. (A) The junction of 6th/7th costal cartilage. (B) The TSDS before the ossification centers completely merged into a single ossification center. (C) the TSDS after the ossification centers have completely merged into a single ossification center, which were obtained to minimize errors caused by angulation. MDCT, multidetector-row computed tomography; TSDS, total sagittal dimension of the sternum.
Figure 3Mean values of the sternal length in boys and girls of different age groups are presented. No significant differences in sternal length were observed between boys and girls younger than 14 years old, whereas significant differences were observed in the case subjects older than 14. For example, the sternal length was 87.38 (95% CI: 77.14; 89.63) mm in girls and 90.51 (95% CI: 83.86; 96.15) in boys at the age of 5 years on average, attaining a mean value of 130.84 (95% CI: 124.86; 136.82) mm in girls and 160.31 (95% CI: 153.92; 166.69) mm in boys at the age of 18 years. CI, confidence intervals.
Average length of sternum in respect to age and sex.
| Mann-Whitney Test | ||||||
|---|---|---|---|---|---|---|
| Age, years | N | Male Average length of sternum (95% CI) (mm) | n | Female Average length of sternum (95% CI) (mm) | Z-value | P-value |
| 1 | 30 | 62.96 (58.62, 67.54) | 30 | 61.05 (57.95, 64.50) | -1.134 | 0.257 |
| 2 | 30 | 71.10 (64.50, 77.77) | 30 | 68.32 (65.16, 71.40) | -1.134 | 0.257 |
| 3 | 30 | 83.30 (80.02, 86.38) | 30 | 80.03 (77.85, 82.21) | -1.814 | 0.070 |
| 4 | 30 | 87.26 (83.79, 90.73) | 30 | 84.50 (81.63, 87.36) | -1.436 | 0.151 |
| 5 | 30 | 90.51 (83.86, 96.15) | 30 | 87.38 (77.14, 89.63) | -1.361 | 0.174 |
| 6 | 30 | 94.79 (89.04, 100.55) | 30 | 89.28 (82.89, 95.67) | -1.285 | 0.199 |
| 7 | 30 | 96.84 (87.62, 106.07) | 30 | 95.25 (90.35, 100.16) | -0.378 | 0.705 |
| 8 | 30 | 102.51 (98.37, 106.65) | 30 | 99.63 (94.95, 104.31) | -1.097 | 0.273 |
| 9 | 30 | 107.44 (101.77, 113.12) | 30 | 105.40 (100.80, 110.01) | -0.605 | 0.545 |
| 10 | 30 | 116.01 (112.03, 120.00) | 30 | 108.85 (102.49, 115.22) | -1.890 | 0.059 |
| 11 | 30 | 119.26 (111.39, 127.13) | 30 | 112.19 (106.00, 118.38) | -1.436 | 0.151 |
| 12 | 30 | 124.46 (114.54, 134.37) | 30 | 115.98 (108.66, 123.29) | -1.512 | 0.131 |
| 13 | 30 | 132.32 (119.16, 145.48) | 30 | 120.93 (113.90, 127.97) | -1.209 | 0.226 |
| 14 | 30 | 140.10 (129.88, 150.33) | 30 | 121.79 (117.33, 126.26) | -2.873 | 0.004 |
| 15 | 30 | 148.11 (138.76, 157.47) | 30 | 125.79 (118.50, 133.08) | -2.987 | 0.003 |
| 16 | 30 | 152.31 (146.19, 158.43) | 30 | 127.47 (122.33, 132.61) | -3.780 | <0.001 |
| 17 | 30 | 158.52 (149.08, 167.95) | 30 | 128.91 (123.72, 134.10) | -3.780 | <0.001 |
| 18 | 30 | 160.31 (153.92, 166.69) | 30 | 130.84 (124.86, 136.82) | -3.704 | <0.001 |
| Total | 54 | 113.64 | 54 | 103.35 | -2.813 | 0.005 |
| 0 | (109.20, 118.31) | 0 | (100.01, 106.59) | |||
CI, confidence interval.
Fitness test in different regression models for each sex.
| Male | Female | |||||||
|---|---|---|---|---|---|---|---|---|
| Model analysis | Parameter analysis | Model analysis | Parameter analysis | |||||
| R2 | P-value | B | P-value | R2 | P-value | B | P-value | |
| Linear | 0.889 | <0.001 | 5.616 | <0.001 | 0.870 | <0.001 | 4.003 | <0.001 |
| Logarithmic | 0.773 | <0.001 | 34.867 | <0.001 | 0.847 | <0.001 | 26.300 | <0.001 |
| Inverse | 0.476 | <0.001 | -94.707 | <0.001 | 0.579 | <0.001 | -75.279 | <0.001 |
| Quadratic | 0.890 | <0.001 | 0.038 | 0.240 | 0.890 | <0.001 | -0.134 | <0.001 |
| Cubic | 0.891 | <0.001 | 0.005 | 0.481 | 0.890 | <0.001 | 0.0004 | 0.939 |
| Compound | 0.886 | <0.001 | 1.053 | <0.001 | 0.846 | <0.001 | 1.042 | <0.001 |
| Power | 0.850 | <0.001 | 0.335 | <0.001 | 0.889 | <0.001 | 0.281 | <0.001 |
| S | 0.589 | <0.001 | -0.964 | <0.001 | 0.667 | <0.001 | -0.841 | <0.001 |
| Growth | 0.886 | <0.001 | 0.051 | <0.001 | 0.846 | <0.001 | 0.041 | <0.001 |
| Exponential | 0.886 | <0.001 | 0.051 | <0.001 | 0.846 | <0.001 | 0.041 | <0.001 |
| Logistic | 0.886 | <0.001 | 0.950 | <0.001 | 0.846 | <0.001 | 0.960 | <0.001 |
Figure 4Relationship between the length of sternum and age in the case subjects is revealed. (A) The length of sternum for males with respect to age is shown. The association between age and the length of sternum for males showed the highest level of fit in the linear model. The regression equation was y=5.616x+60.408 (P<0.001; R2=0.890), where y represents the length of the sternum (in mm), and x is the age (in years). The 95% confidence intervals of the total are also shown. (B) The lengths of the sternum for females with to respect to age are shown. The association between of age and the length of the sternum showed the highest level of fit in the quadratic model. The regression equation was y=-0.134x2+6.543x+56.805 (P<0.001, R2=0.890), where y represents the length of the sternum (in mm) and x is the age (in years). The 95% confidence intervals of the total are also revealed. (C) Comparison of the length of the sternum between the sexes with age. A linear increase in the length of sternum with age was shown in males, whereas the rate of increase in sternal length in females gradually decreased between the ages 1-18. The average length of the sternum was found to be significantly longer in males compared with females in the age range of 14-18 years.