Objective To evaluate the efficacy and safety of rosiglitazone versus metformin in treating polycystic ovary syndrome (PCOS). Methods Randomized controlled trials (RCTs) about rosiglitazone versus metformin in treating PCOS were retrieved on computer in MEDLINE, The Cochrane Library, EMbase, EBSCO, CBM, CNKI, Chinese Medical Association Journal Database and VIP from the date of their establishment to December 2010. The trials were screened according to the inclusion and exclusion criteria by two reviewers independently, the data were extracted, the methodological quality was assessed, and finally meta-analysis was conducted with Stata 11.0 software. Results A total of six RCTs involving 286 PCOS patients were included. The results of meta-analyses showed that there was no significant difference between rosiglitazone and metformin in improving PCOS patients’ insulin sensitivity (SMD= –0.14, 95%CI –0.46 to 0.19, P=0.412) and lowering androgen levels (SMD=0.05, 95%CI –0.26 to 0.36, P=0.747). However, the effect of rosiglitazone was inferior to metformin in lowing patients’ weight with a significant difference (SMD=0.34, 95%CI 0.11 to 0.58, P=0.004). The rosiglitazone showed a lower incidence rate of adverse reaction compared with metformin. Conclusion Compared with metformin, the rosiglitazone is eqully effective in improving PCOS patients’ insulin sensitivity and lowering androgen levels, and has a lower incidence rate of adverse reaction although it is inferior to metformin in lowing patients’ weight. So rosiglitazone is more applicable for the patients who are of underweight or cannot tolerate the gastrointestinal side effects induced by metformin. There is no enough evidence for this conclusion due to the small sample size and limited number of RCTs. More high-quality, large-sample and multicentered RCTs are required to guide clinical treatment and benefit patients.
Bioelectrical impedance measurement technology is a non-invasive detection technology for extracting human physiological and pathological information. The analysis method of the relationship between bioimpedance and human physiological parameters is an important part of this technology. In order to calculate the internal and external liquid volume of human cells more accurately, based on the Moissl equation for calculating the internal and external fluid volume of human cells, a segmented human bioimpedance spectrum measurement model and an improved calculation method of intracellular and external fluid capacity were proposed. The measurement and calculation experiments of the intracellular and extracellular fluid volume before and after the human body's water intake were designed and compared with the Moissl calculation method. The results show that the improved calculation method can calculate the intracellular and extracellular fluid volumes more effectively, and the relative error is less than 5%, which may provide new ideas or more accurate methods for the analysis of human body components, facilitating the diagnosis and treatment of diseases.
The injury of the knee joint is usually accompanied with the generation of hydrops. The volume of hydrops can be used as a reference to evaluate the extent of knee joint injuries. Based on the principle of bioimpedance detection, in this paper, a new method is proposed to detect knee joint hydrops. Firstly, a three-dimensional model of the knee joint was established according to the physiological and anatomical structure of the knee joint. Secondly, a knee impedance detection system was constructed based on the four-electrode theory, and the relationship between the knee impedance change and the volume of hydrops was calculated by linear regression. Finally, the model of rat knee joint hydrops was established, and the knee joint impedance was measured under different hydrops content to deduce the relationship between the fluid content and the knee joint impedance. The fluid volume in the joint was calculated by measuring the knee joint impedance, and the error rate was less than 10%. The experimental results show that the method proposed in this paper can establish the relationship between the impedance of the knee and the volume of fluid and realize the detection of the fluid volume.
Medical magnetic nanoparticles are nano-medical materials with superparamagnetism, which can be collected in the tumor tissue through blood circulation, and magnetic particle imaging technology can be used to visualize the concentration of magnetic nanoparticles in the living body to achieve the purpose of tumor imaging. Based on the nonlinear magnetization characteristics of magnetic particles and the frequency characteristics of their magnetization, a differential detection method for the third harmonic of magnetic particle detection signals is proposed. It was modeled and analyzed, to study the nonlinear magnetization response characteristics of magnetic particles under alternating field, and the spectral characteristics of magnetic particle signals. At the same time, the relationship between each harmonic and the amount of medical magnetic nanoparticle samples was studied. On this basis, a signal detection experimental system was built to analyze the spectral characteristics and power spectral density of the detected signal, and to study the relationship between the signal and the excitation frequency. The signal detection experiment was carried out by the above method. The experimental results showed that under the alternating excitation field, the medical magnetic nanoparticles would generate a spike signal higher than the background sensing signal, and the magnetic particle signal existed in the odd harmonics of the detected signal spectrum. And the spectral energy was concentrated at the third harmonic, that is, the third harmonic magnetic particle signal detection that meets the medical detection requirement could be realized. In addition, the relationship between each harmonic and the particle sample volume had a positive growth relationship, and the detected medical magnetic nanoparticle sample volume could be determined according to the relationship. At the same time, the selection of the excitation frequency was limited by the sensitivity of the system, and the detection peak of the third harmonic of the detection signal was reached at the excitation frequency of 1 kHz. It provides theoretical and technical support for the detection of medical magnetic nanoparticle imaging signals in magnetic particle imaging research.