Objectives: This study aimed to construct a device that could measure leg length discrepancy (LLD) automatically. Materials and Methods: The LLD measure device measures LLD with pelvic-tilt method (Program 1) and weight-based method (Programs 2 & 3). Tests were done in 3 phases. 1: Two examiners using the LLD Measure device made -50 to 75 mm artificial LLD in two healthy subjects measuring the degree of pelvic tilt and the load bearing of lower limbs. 2: Sixteen healthy volunteers were asked to stand on the device to measure LLD with program 2 and then with both knees extended to measure LLD with program one. 3: 32 patients who had underwent lower limbs CT scanogram enrolled, and the LLD measurement with program 1 compared with those obtained by CT scanogram. Results: Data’s obtained in the first phase showed excellent repeatability (intra-class correlation coefficient [ICC] > 0.9) and very good reproducibility (ICC > 80%) except for measuring the limb load while both knees were extended (ICC ≈ 60%). In the second phase, we found no statistically significant difference between measuring LLD using programs 1 and 2 (P = 0.49). In the third phase, there was no statistically significant difference between measuring LLD using program 1 and CT scanogram (P = 0.80). Conclusions: We have developed a device to measure LLD semiautomatic with less need for examiner expertise. The results of our new device would be reliable and accurate compared to CT measurements.

Introduction Body vision is a novel method which examines postural indices through photogrammetric essentials. Nevertheless, its reliability and validity has not been appraised till now. We aimed to evaluate the reliability and validity of body vision system for posture assessment Methods This was a cross sectional study in which two examiners evaluated photographs of 71 subject using body vision system twice with two-week interval. The Body Vision system involves a Grid wall and a camera fixed in front of the grid wall at about 390 cm distances. Three standing photographs (anterior, right lateral, and posterior view) were captured for participants. Results The results for inter-rater reliability analysis showed most of the parameters (74%) had excellent 95% Confidence Interval (CI), 10 % had good to excellent 95% CI, 13% had moderate to good 95% CI, and 1% had poor to moderate 95% CI (Table 2). The results for intra-rater reliability analysis showed 70-72% of the parameters had excellent 95% Confidence Interval (CI), 6-9% had good to excellent 95% CI, 12-13% had moderate to good 95% CI, and 9% had poor to moderate 95% CI. The comparison between known distances and angles on grid wall and those obtained from photogrammetric measurements showed there is no statistical significant difference (p > 0.05). Also the regression analysis showed there is a significant and positive relationship between them (R2 = 1, p < 0.05). Conclusion The results of this study showed that body vision system is a valid and reliable tool for measuring postural parameters.