| Objective:An ideal model of osteoporosis was established,and the biomarkers of bone biochemical metabolism,bone density and bone SPECT/CT SUVmax were measured and analyzed.To explore whether the changes of SUVmax can provide new ideas for the diagnosis of osteoporosis.Materials and methods:1.New Zealand great white male rabbits,5 months of age,10 were randomly divided into two groups with 5 rabbits in each group.In the experimental group,methylprednisolone was injected with 2.5mg/kg per day for 4 weeks.The control group received equal doses of saline.The diet,activity,body mass change and mental state of the rabbits were observed.2.Before the experiment,and after the first,second,third and fourth weeks after the injection of methylprednisolone(phase 0,1,2,3,4),the two groups respectively used the dual-energy X-ray bone densitometer hologic to measure the bone density of lumbar vertebra and upper middle part of femur.The Symbia intevo16 SPECT/CT was used for planar and tomographic imaging and the XSPECT Quant quantitative software was used for SUVmax calculation of lumbar and middle segment of femur.The rois of lumbar,middle segment of femur and middle segment of humerus were also described for semi-quantitative analysis of lumbar and middle segment of femur(L/H)and middle segment of femur(H/F).Blood samples were collected to measure serum bone metabolism markers n-terminal calcitonin(n-mid)and serum type I collagen c-terminal peptide(CTX).Conduct statistical analysis of the data.All data to adopt(?)ąS said,at different times between the experimental group and the control way comparing with independent samples t test.Multigroup comparison was performed using one-way anova,and pairwise comparison between groups was performed using LSD or Dounnett T3 test.Correlation analysis of SUVmax and bone density was performed using Pearson correlation coefficient analysis.P positive 0.05 was considered as statistically significant difference.3.Diagnostic criteria for successful modeling of osteoporosis in the experimental group: bone mineral density detection of bone loss was more than 25%.Results:1.The bone density of the rabbits in the experimental group was measured,and the bone loss in the upper and middle femur was no more than 25% after 4 weeks,which met the diagnostic criteria of osteoporosis,and the modeling was successful.The weight of the experimental group and the control group was on the decline,and the difference between the two groups at different periods was not statistically significant.Compared with phase 0 in different periods within the two groups,the weight loss in the experimental group was statistically significant from phase 2,while that in the control group was statistically significant from phase 3.2.Compared with the control group,the density of lumbar vertebrae in the experimental group decreased,which was statistically significant from stage 3(-4.082 and-5.922,P 0.01).The bone mineral density of the upper femur of the experimental group decreased compared with that of the control group,and the bone mineral density decreased significantly from stage 2(-2.483,-2.835 and-4.514,P < 0.05).The BMD in the middle segment of femur in the experimental group was lower than that in the control group,and the BMD in only stage 4 was statistically significant(t=-3.559,P 0.01).The BMD of the lumbar spine and the upper femur of the experimental group decreased gradually from stage 2,and the difference was statistically significant compared with stage 0(lsd-t was 2.917 in stage 2 and 2.736 in the upper femur respectively).Lumbar spine in stage 3 was 4.980 and upper femur was 3.078.The lumbar spine in stage 4 was 8.836 and the upper femur was 3.974.P ? 0.05).In the experimental group,the BMD in the middle segment of femur gradually decreased compared with stage 0,and only the BMD in stage 4 was statistically significant compared with stage 0(lsd-t =2.193,P < 0.05).3.The SUVmax and SUVmax of the middle segment of femur in the experimental group decreased compared with the control group,and only the decrease of SUVmax in stage 4 was statistically significant(lumbar t=-3.202,middle segment of femur t=-3.559,P mo 0.05).The SUVmax of lumbar spine in the experimental group decreased gradually from phase 3,and the difference was statistically significant compared with phase 0(lsd-t =2.221 in phase 3).4)LSD-t = 2.315;P ? 0.05).In the experimental group,SUVmax in the middle segment of femur gradually decreased compared with stage 0,and the decrease in SUVmax in only stage 4 was statistically significant compared with stage 0(lsd-t =2.696,P scores 0.05).4.There was a significant positive correlation between SUVmax of the lumbar spine and upper femur bone density,SUVmax of the middle femur and upper and middle femur bone density(both r >0.8).5.Semi-quantitative analysis in the experimental group was higher than that in the control group,and the difference was not statistically significant.There was no statistically significant difference between the experimental group in different periods and the experimental group in different periods.6.CTX in the experimental group decreased compared to the control group,and the difference was not statistically significant.N-MID in the experimental group was higher than that in the control group,and the difference was not statistically significant.The CTX and n-mid in the experimental group showed no statistically significant difference between different periods and different periods.Conclusions:1.SUVmax in the middle segment of lumbar vertebra and femur,as well as SUVmax in the upper and middle segment of femur have the same diagnostic value for osteoporosis,and SUVmax in the lumbar vertebra may be more early in diagnosis of osteoporosis than lumbar vertebra density.2.The BMD of the lumbar and upper femur was detected earlier than that of SUVmax of the lumbar spine.There was no difference in time between SUVmax and mid-femur BMD.3.SUVmax is more accurate in monitoring changes in bone mass than semi-quantitative analysis and can indirectly reflect bone density.To sum up,bone imaging SUVmax can be used for clinical diagnosis of osteoporosis and monitoring of bone changes. |
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