Objective To assess the left ventricular systolic function (LVSF) in patients with implanted dual-chamber(DDD) mode cardiac pacemakers using Two-dimensional Echocardiography (2DE),Real-time Tri-plane Echocardiography (RT-3PE)and Full-volume Three Dimensional Echocardiography (FV-3DE).Methods A total of 30 patients with DDD mode cardiac pacemaker were ex-amined by 2DE, RT-3PE and FV-3DE separately.Left ventricle end diastolic volume (LVEDV), left ventricle end systolic volume (LVESV), and ejection fraction (EF) were measured and compared within the three methods above .Results The measurement of EF with patients of post-operation was higher than the patients of pre-operation.The measurements of EF with 2DE were higher than RT-3PE.The measurements of LVEDV , LVESV and SV with 2DE and RT-3PE were lower than FV-3DE, and EF was higher .There were statistically significant differences in above measurements ( P <0.05 ) .But there were no statistically significant differences in measurements of LVEDV and LVESV between 2DE and RT-3DE ( P >0.05).Conclusions Implanting DDD mode cardiac pace-maker can evaluate LVSF of patients obviously .FV-3DE can evaluate LVSF in patients with DDD mode cardiac pacemaker accurately . The LVEDV, LVESV and SV are underestimated by 2DE and RT-3PE, and EF is overestimated by 2DE and RT-3PE.

Objective To evaluate the left ventricular systolic dyssynchrony in patients with left ventricular apical ballooning syndrome (LVABS) quantitatively by real-time three-dimensional echocardiography(RT-3DE) and its correlation with left ventricular ejection fraction(LVEF).Methods 7patients with LVABS were enrolled in this study.The images of left ventricle in full volume mode were obtained by RT-3DE in the different time (just after admission,4 weeks and 8 weeks).Post-processing software of 4D LV Volume Tom-Tec was used for calculation of EF and 16-segmental time-volume curves was obtained.The time to the point with minimal systolic volume(Tmsv) of each segment was calculated and by which the following indexes of systolic dyssynchrony were derived:Tmsv16-SD/Dif,Tmsv-basalSD/Dif,Tmsv-mid-SD/Dif and Tmsv-apical-SD/Dif.The correlation between systolic dyssynchrony index (SDI) and LVEF was analysed.Results ① The Tmsv16-SD/Dif,Tmsv-basal-SD/Dif,Tmsv-mid-SD/Dif and Tmsv apical-SD/Dif of left ventricle in the patients of 4 weeks and 8 weeks were smaller than those of the patients just after admission.There were significant differences among them(all P ＜0.05).②The more SDI increased,the more LVEF decreased,and vice versa.SDI was negatively associated with LVEF in the different time of admission (just after admission:r =-0.758; 4 weeks:r =-0.831 ; 8 weeks:r =-0.889;all P ＜0.05).Conclusions Left ventricular systolic dyssynchrony of severe degree is observed in patients with LVABS just after admission.But the condition of dyssynchrony has been improved gradually after 4 weeks and 8 weeks.SDI is negatively correlated with LVEF.

Objective To investigate the relationship between Ct value of mice liver and postmortem interval (PMI) under various ambient temperatures. Methods mice were stored at 10℃, 15℃, 20℃, 25℃ and 30℃ after execution, and total RNA was extracted from mice liver every 6 hours (PMI 6h to 72h). The levels of 18s rRNA were examined using real-time PCR. The results were expressed by cycle threshold (Ct) value to explore relationship between PMI and Ct value, and the interpolation functions were established to estimate PMI. Results In each group, Ct value increased with PMI increased. Surface equation was obtained after interpolation analysis on temperature range 10℃~30℃. The three-variable quintic surface equation was f(x, y)=-426.9+30.82x+44.48y-1.297x2-1.837xy-1.388y2+0.034 38x3+0.038 17x2y+0.038 67xy2+0.028 77y3-0.000 612 9x4-3.897e-7x3y-0.001 223x2y2+0.000 256 6xy3-0.000 537 4y4+3.606e-6x5-2.846e-6x4y+1.009e-5x3y2-3.439e-6x2y3-2.556e-7xy4+2.664e-6y5(r2=0.999 4). Conclusion The rule of Ct value changes at ambient temperature complied with three-variable quintic surface equation distribution. Measurement of interpolation function may be used for PMI estimation at ambient temperature.

Objective The diagnosis of nasal fractures poses challenges in forensic clinical evaluation.This study aims to develop and enhance an artificial intelligence-based model for nasal fracture recognition,evaluate its performance,and provide assistance and support for forensic clinical identification.Methods Multi-center nasal CT images were selected and screened according to the consensus standards set by Chinese experts in nasal CT examination and diagnosis.A recognition model was constructed,followed by external verification and evaluation.Additionally,the diagnostic capabilities of qualified appraisers/doctors with different professional titles(primary,intermediate,and senior)were compared with the performance of the intelligent recognition model.The accuracy,sensitivity,specificity),and negative predictive value(NP)of the intelligent recognition model were comprehensively evaluated.Results The intelligent recognition model exhibited high diagnostic efficiency and stability.It improved the diagnostic accuracy of radiologists and appraisers in detecting nasal fractures while effectively bridging the gap between inexperienced doctors/appraisers and experienced ones.Conclusion The intelligent recognition model for nasal fractures can assist appraisers in enhancing their ability to locate such fractures on CT images and improve work efficiency while enhancing appraisal opinions'accuracy and scientificity.