1.Improved anatomic M-mode echocardiography evaluation of regional short-axis myocardial function of left ventricle in coronary heart disease
Lei LI ; Yue LI ; Yun ZHANG ; Liang CHAI ; Shuangqiao ZHAO
Chinese Journal of Medical Imaging Technology 2009;25(12):2236-2239
Objective To evaluate the movement function of the left ventricular short-axis with parameters (velocity, acceleration and relatively force) measured with improved anatomical M-mode ultrasound. Methods Sixteen patients with myocardial ischemia coronary heart disease who had taken percutaneous transluminal coronary intervention (PCI) were enrolled. All patients were divided into two groups: group A, single major vascular stenosis (n=8);group B, more major vascular stenosis (n=8). M-mode curves of short-axis sections at mitral valve level, papillary level and apical level were recorded, then the peak myocardial velocities, acceleration and force of the systolic phase, early-diastole phase and end-diastole phase were measured at the post processing station. Results The variety ranges of average velocity and acceleration of the three levels during systolic phase were higher than that during diastole phase. The changing rate of velocity and acceleration in group B was higher than that in group A. Conclusion The new parameters that are measured and calculated with anatomical M-mode ultrasound can reflect the movement functions of coronary heart disease patients taken PCI.
2.Age Discrimination Based on Volatile Components of Arisaema Cum Bile
Jia HE ; Tiegui NAN ; Tianrui LIU ; Yuyang ZHAO ; Ying LIU ; Yan JIN ; Yuan YUAN
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(7):197-204
ObjectiveTo discriminate the age of Arisaema Cum Bile, the combination of headspace solid-phase microextraction (HS-SPME) with gas chromatography-mass spectrometry (GC-MS) was applied to explore the differences of volatile components of unfermented, 1-year fermented, 2-year fermented, and 3-year fermented Arisaema Cum Bile. MethodSamples with different fermentation durations were collected and HS-SPME-GC-MS technology was employed to detect the volatile components of each sample. The relative contents of detected volatile components were processed and analyzed by chemometrics methods such as principal component analysis (PCA), hierarchical cluster analysis (HCA), and partial least squares discriminant analysis (PLS-DA). ResultThe results showed that 145 volatile components were identified. Among these volatile components, the relative contents of heterocyclic, alcohols, aldehydes and aromatics were high. PCA, HCA, and PLS-DA can effectively separate Arisaema Cum Bile with four different ages. Based on variable importance in projection (VIP) value > 1, 73 markers of differential volatile components were identified. The content of 2,6,11-trimethyldodecane and m-xylene in unfermented samples was the highest, and the content difference between them and those in fermented samples was significant (P<0.05). 2,3-butanediol was detected only in 1-year samples, octane was detected only in 2-year samples, and ethyl heptanoate was detected only in 3-year samples. These components can be used as odor markers for Arisaema Cum Bile with different fermentation years. ConclusionThe identification method of volatile components of Arisaema Cum Bile was established by HS-SPME-GC-MS technology, which can realize the rapid identification of unfermented, 1-year fermented, 2-year fermented, and 3-year fermented samples, and provide a scientific basis for the standardization of processing technology and quality standards of Arisaema Cum Bile.