Objective Vibration response imaging(VRI) is a new lung sound imaging technology.It provides quantitative lung data（QLD） of vibration in respiratory system.The study is to explore the value of QLD in diagnosis of obstructive lung diseases.Methods The QLD of 61 chronic obstructive pulmonary disease（COPD） patients，58 asthma patients and 64 healthy volunteers were reviewed.The QLD were transferred to abnormity and variation by a formulation and were analyzed.Results The mean QLD of healthy volunteers were 8.4，14.5，22.0，11.1，18.5，25.5 with mean abnormity as 10.0 and mean variation as 2.0.The mean QLD of the COPD patients were 11.6，16.7，21.9，12.6，17.2，20.1 with mean abnormity as 47.1 and mean variation as 10.9.The mean QLD of the asthma patients were 12.8，17.2，19.9，13.3，17.5，19.3 with mean abnormity as 58.1 and mean variation as 12.2.The abnormity and variation of the patients were different from those of volunteers（Plt;0.05）.When abnormity≥20.0 or variation≥5.0 was define as threshold value，the specificity was 87.5%.The diagnosis sensitivity for COPD is 82.0% and sensitivity for asthma is 82.8%.Conclusion COPD and asthma patients can be detected by quantitative lung data from vibration response imaging.
【Abstract】 Objective To explore the clinical value of vibration response imaging ( VRI) in patients with chronic obstructive pulmonary disease ( COPD) . Methods 255 COPD patients and 78 healthy volunteers were enrolled and lung function test and VRI examination were performed. The parameters of VRI included dynamic image grades, vibration energy graph grades, vibration value, quantitative lung data ( QLD) of right lung, and crack counts. Results The VRI parameters of the COPD group were as follows, ie.dynamic image grades of 3. 07 ±1. 34, graph grades of 7. 81 ±3. 27, vibration value of 1. 57 ±0. 46, QLD of( 49. 5 ±12. 6) % , crack counts of 5. 27 ±7. 74. The VRI parameters of the control group were as follows, ie.dynamic image grades of 1. 14 ±1. 00, graph grades of 2. 24 ±1. 27, vibration value of 1. 87 ±0. 40, QLD of( 44. 0 ±7. 7) % , crack counts of 0. 21 ±0. 88. There were significant differences in all parameters between the two groups ( all P lt;0. 05) . There was a linear relationship between VRI and FEV1% pred ( r = 0. 548,P lt;0. 01) . The model of the linear regression was Y =80. 833 - 2. 735X1 - 5. 406X2 ( Y: FEV1% pred, X1 :VRI graph grades, X2 : dynamic image grades) . Conclusion VRI is a promising method to diagnose and assess the severity of COPD.
Objective To explore the characteristics of vibration response imaging ( VRI) among heavy smokers whose pulmonary function is normal. Methods 67 heavy smokers with normal pulmonary function, 60 healthy non-smokers, and 60 patients with COPD were recruited. History taking, physical examination, lung function test, chest X-ray, and VRI examination were performed. The difference of VRI dynamic imaging between the three groups was analyzed. Results VRI vibration energy curve which appeared low, flat, sunken-in, and single peak accounted for 43.3% , 16.4% , 16.4% , and 14.9% respectively in the heavy smokers, accounted for 6.7% , 3.3% ,0% , and 0% respectively in the healthy nonsmokers, accounted for 60% , 33.3% , 18.3% , and 16.7% respectively in the COPD patients. The results between the heavy smokers and the healthy non-smokers were significantly different. Compared with the heavy smokers, the COPD patients exhibited more low and flat in expiration period. The energy peak value ratio of inspiration and expiration phase in the heavy smokers, the healthy non-smokers, and the COPD patients were 0.56,0.74, and 0.54 respectively. There was no significant difference between the heavy smokers and the COPD patients in peak value ratio of inspiration and expiration phase. Conclusion The vibration energy curve of the VRI in heavy smokers with normal pulmonary function is significantly different fromhealthy nonsmokers, but there is no significant difference between heavy smokers and COPD patients.
Objective To discuss the method of constructingbiomechanical model of rabbit femur.Methods The sample of rabbit femur was prepared as follows:firstly，femur section images were obtained，then the image wasput into the computer and processed to get the boundary contour line; secondly, through programming the contour line coordinate for modeling was obtained, then the data were put into the model software to find the threedimensional entity model. Results Whole three-dimensional model of rabbit femur was constructed. It simulated actually dissection form of femur. Conclusion The establishment of the model lays a foundation for ascertaining optimal parameter of vibration improving bone minerydensity by finite element analysis.