| Literature DB >> 29017301 |
Ji Won Moon1, James Ki Shinn1, Dalsung Ryu1, Se-Yang Oh1, Yu Shik Shim1, Seung Hwan Yoon1.
Abstract
OBJECTIVE: Computed tomography (CT), rather than conventional 2-dimensional radiography, was used to scan and measure pelvic parameters. The results were compared with measurements using X-ray.Entities:
Keywords: Age factors; Pelvic incidence; Posture; Sagittal imbalance; Sex factors
Year: 2017 PMID: 29017301 PMCID: PMC5642093 DOI: 10.14245/kjs.2017.14.3.77
Source DB: PubMed Journal: Korean J Spine ISSN: 1738-2262
Fig. 1Measurements were obtained from the computed tomograhic image using the pelvic incidence angle tool of picture archiving communications system(PACS). (A) The left femur center was identified. (B) The right femur center was identified. (C) Both femur centers were marked on the midline. (D) Pelvic parameters were measured using the pelvic incidence angle measurement tool. (E) The pelvic incidence angle measurement tool button provided by PACS.
Difference of pelvic parameters between X-ray and CT
| Pelvic parameter | Mean±SD | Difference (X-ray value – CT value) | p-value |
|---|---|---|---|
| All (254 cases) | |||
| SS by X-ray (°) | 31.6±7.4 | −3.5 | <0.0001 |
| SS by CT (°) | 35.1±6.7 | ||
| PT by X-ray (°) | 18.6±7.7 | 6.7 | <0.0001 |
| PT by CT (°) | 11.9±5.7 | ||
| PI by X-ray (°) | 50.2±9.0 | 3.2 | <0.0001 |
| PI by CT (°) | 47.0±8.5 | ||
| Male (126 cases) | |||
| SS by X-ray (°) | 31.6±7.0 | −3.6 | <0.0001 |
| SS by CT (°) | 35.2±6.3 | ||
| PT by X-ray (°) | 16.6±6.8 | 6.2 | <0.0001 |
| PT by CT (°) | 10.4±5.3 | ||
| PI by X-ray (°) | 48.1±7.0 | 2.6 | <0.0001 |
| PI by CT (°) | 45.6±7.3 | ||
| Female (128 cases) | |||
| SS by X-ray (°) | 31.6±7.7 | −3.4 | <0.0001 |
| SS by CT (°) | 35.0±7.0 | ||
| PT by X-ray (°) | 20.6±8.1 | 7.3 | <0.0001 |
| PT by CT (°) | 13.4±5.7 | ||
| PI by X-ray (°) | 52.2±10.3 | 3.9 | <0.0001 |
| PI by CT (°) | 48.4±9.4 | ||
CT, computed tomography; SD, standard deviation; SS, sacral slope; PT, pelvic tilt; PI, pelvic incidence.
Difference of pelvic parameters for sex
| Pelvic parameter | Mean±SD | Difference (Male value – female value) | p-value |
|---|---|---|---|
| SS by X-ray (°) | |||
| Male | 31.6±7.0 | −0.04 | <0.967 |
| Female | 31.6±7.7 | ||
| SS by CT (°) | |||
| Male | 35.2±6.3 | 0.20 | <0.814 |
| Female | 35.0±7.0 | ||
| PT by X-ray (°) | |||
| Male | 16.6±6.8 | −4.07 | <0.0001 |
| Female | 20.6±8.1 | ||
| PT by CT (°) | |||
| Male | 10.4±5.3 | −2.98 | <0.0001 |
| Female | 13.4±5.7 | ||
| PI by X-ray (°) | |||
| Male | 48.1±7.0 | −4.10 | <0.0001 |
| Female | 52.2±10.3 | ||
| PI by CT (°) | |||
| Male | 45.6±7.3 | −2.78 | <0.009 |
| Female | 48.4±9.4 | ||
SD, standard deviation; SS, sacral slope; CT, computed tomography; PT, pelvic tilt; PI, pelvic incidence.
Fig. 2Correlation between age and pelvic incidence (PI) was analyzed using linear regression analysis. CT, computed tomography.
Difference of pelvic incidence (PI) for race
| Race | Country | Year | No. | Age (yr) | PI (°) | Reference |
|---|---|---|---|---|---|---|
| Caucasians | France | 2002 | 100 | 26.5±4.0 | 51.7±11.5 | Vaz et al. |
| Canada | 2004 | 160 | 25.7±4.4 | 51.8±5.3 | Labelle et al. | |
| France | 2005 | 160 | 27.0 | 51.9±10.7 | Roussouly et al. | |
| France | 2006 | 149 | 30.8±6.0 | 53.1±9.0 | Boulay et al. | |
| Belgium | 2007 | 145 | 40.7±18.7 | 50.2±10.6 | Legaye | |
| France | 2007 | 154 | 27.0±8.0 | 52.0±10.7 | Barrey et al. | |
| France | 2005 | 300 | 35.4±12.0 | 54.7±10.6 | Vialle et al. | |
| Asians | Korea | 2010 | 166 | 21.8±1.3 | 46.4±7.7 | Ahn et al. |
| Korea | 2011 | 132 | 64.1±6.3 | 48.4±8.6 | Kang et al. | |
| Japan | 2011 | 425 | 43.8±13.9 | 46.7±8.7 | Kanemura et al. | |
| Korea | 2012 | 117 | 27.5 | 47.8±8.7 | Lee et al. | |
| Japan | 2014 | 86 | 35.9±11.1 | 46.7±8.9 | Endo et al. | |
| China | 2016 | 272 | 23.2±4.4 | 46.4±9.6 | Hu et al. |
Number of subjects.
Mean±standard deviation.
Review of studies on pelvic parameters
| Reference | Year | No. | Age (yr) | PI (°) | SS (°) | PT (°) | Description |
|---|---|---|---|---|---|---|---|
| Vaz et al. | 2002 | 100 | 26.5±4.0 | 51.7±11.5 | 39.4±9.3 | 12.3±5.9 | - |
| Labelle et al. | 2004 | 160 | 25.7±4.4 | 51.8±5.3 | 39.7±4.1 | 12.1±3.2 | - |
| Roussouly et al. | 2005 | 160 | 27.0 | 51.9±10.7 | 40.0±8.2 | 12.0±6.5 | - |
| Boulay et al. | 2006 | 149 | 30.8±6.0 | 53.1±9.0 | 42.0±7.0 | 12.0±6.4 | - |
| Legaye | 2007 | 145 | 40.7±18.7 | 50.2±10.6 | 38.8±6.6 | 11.5±5.9 | - |
| Barrey et al. | 2007 | 154 | 27.0±8.0 | 52.0±10.7 | 40.0±8.2 | 12.0±6.5 | - |
| Vialle et al. | 2005 | 300 | 35.4±12.0 | 54.7±10.6 | 41.2±8.4 | 13.2±61 | - |
| Vialle et al. | 2005 | 190 | - | 53.0±10.6 | 41.0±8.5 | 13.0±6.0 | Males |
| Vialle et al. | 2005 | 110 | - | 56.0±10.0 | 43.2±8.4 | 13.6±6.0 | Females |
| Mac-Thiong et al. | 2010 | 354 | 37.9±14.7 | 52.7±10.0 | 39.8±7.9 | 12.7±7.0 | Males |
| Mac-Thiong et al. | 2010 | 355 | 37.7±13.9 | 52.4±10.8 | 39.3±8.0 | 13.4±6.7 | Females |
PI, pelvic incidence; SS, sacral slope; PT, pelvic tilt.
Number of subjects.
Mean±standard deviation.