Objective To explore the application value of dual-energy computed tomography(DECT)pulmonary perfusion parameters in the evaluation of pulmonary hypertension(PH).Methods A retrospective selection was performed on 214 patients with suspec-ted PH who underwent DECT pulmonary perfusion examination,and the patients were divided into PH group(n=97)and non-PH group(n=117)according to the pulmonary artery systolic pressure measured by echocardiography.Inter-group comparison,univari-ate and multivariate logistic regression,and the receiver operating characteristic(ROC)curve were used to analyze the two-phase DECT pulmonary perfusion parameters and traditional CT anatomical parameters of the two groups of patients,so as to obtain the best parameters and models for predicting PH.Results There were statistically significant differences in DECT pulmonary perfusion parameters and traditional CT anatomical parameters between the PH group and the non-PH group(P<0.05).In DECT pulmonary perfusion parameters,the ratio of main pulmonary artery enhancement to whole lung enhancement in the pulmonary arterial phase(MPAenh1/WLenh1),the difference between the whole lung enhancement in the pulmonary venous phase and the whole lung enhancement in the pulmonary arterial phase(WLenh2-WLenh1),and in traditional CT anatomical parameters,the main pulmonary artery diam-eter(MPAD)and the ratio of right ventricular diameter to left ventricular diameter(RVD/LVD)were independent predictors of PH.The DECT pulmonary perfusion parameters model had similar diagnostic efficacy to the traditional CT anatomical parameters model for PH,and the combined model of the two parameters had the best diagnostic efficacy,with an area under the curve(AUC)of 0.955 and sensitivity and specificity of 0.866 and 0.940,respectively.Conclusion DECT pulmonary perfusion parameters can be used to evaluate PH,and the combination of traditional CT anatomical parameters and DECT pulmonary perfusion parameters can significantly improve the diagnostic efficacy of PH.

Objective To explore the application value of dual-energy computed tomography(DECT)pulmonary perfusion parameters in the evaluation of pulmonary hypertension(PH).Methods A retrospective selection was performed on 214 patients with suspec-ted PH who underwent DECT pulmonary perfusion examination,and the patients were divided into PH group(n=97)and non-PH group(n=117)according to the pulmonary artery systolic pressure measured by echocardiography.Inter-group comparison,univari-ate and multivariate logistic regression,and the receiver operating characteristic(ROC)curve were used to analyze the two-phase DECT pulmonary perfusion parameters and traditional CT anatomical parameters of the two groups of patients,so as to obtain the best parameters and models for predicting PH.Results There were statistically significant differences in DECT pulmonary perfusion parameters and traditional CT anatomical parameters between the PH group and the non-PH group(P<0.05).In DECT pulmonary perfusion parameters,the ratio of main pulmonary artery enhancement to whole lung enhancement in the pulmonary arterial phase(MPAenh1/WLenh1),the difference between the whole lung enhancement in the pulmonary venous phase and the whole lung enhancement in the pulmonary arterial phase(WLenh2-WLenh1),and in traditional CT anatomical parameters,the main pulmonary artery diam-eter(MPAD)and the ratio of right ventricular diameter to left ventricular diameter(RVD/LVD)were independent predictors of PH.The DECT pulmonary perfusion parameters model had similar diagnostic efficacy to the traditional CT anatomical parameters model for PH,and the combined model of the two parameters had the best diagnostic efficacy,with an area under the curve(AUC)of 0.955 and sensitivity and specificity of 0.866 and 0.940,respectively.Conclusion DECT pulmonary perfusion parameters can be used to evaluate PH,and the combination of traditional CT anatomical parameters and DECT pulmonary perfusion parameters can significantly improve the diagnostic efficacy of PH.

Objective To explore the value of fractional order calculus(FROC)model diffusion weighted imaging(DWI)for evaluating pathological classification and differentiation degree of cervical cancer(CCA).Methods Totally 74 CCA patients were enrolled and divided into squamous cell carcinoma(SCC)group(n=54)and adenocarcinoma(ACA)group(n=20)based on pathological classification,also low differentiation group(n=33)and medium-high differentiation group(n=41)based on differentiation degree.Conventional MR examination and DWI with 12 b-values were performed,FROC model parameters(D,β,and p value)and the apparent diffusion coefficient(ADC)of mono-exponential model were obtained via software analysis.The parameters were compared between groups,and receiver operating characteristic curve of those being significantly different between groups were drawn,the area under the curves(AUC)were calculated to evaluate the diagnostic efficacy.Results Significant differences of ADC,D,and β values were found between SCC group and ACA group(all P＜0.05),and D value had the highest AUC(0.726)for distinguishing pathological classification CCA.Meanwhile,significant differences of D,β,p values and ADC were observed between low differentiation group and medium-high differentiation group(all P＜0.05),D value also had the highest AUC(0.865).AUC of the combined model constructed based on significant variables β and p values in logistic regression was 0.926,higher than that of each parameter alone(all P＜0.05).Conclusion FROC model DWI could be used to evaluate pathological classification and differentiation degree of CCA.

Objective:To explore the value of coronary artery plaque progression parameters based on coronary CT angiography (CCTA) in predicting the occurrence of major adverse cardiovascular events (MACE) in patients with non-obstructive coronary artery disease.Methods:The study included clinical, imaging, and prognosis (MACE) parameters of non-obstructive coronary artery disease patients who underwent CCTA at the First Affiliated Hospital of Nanjing Medical University from September 2010 to December 2022. Patients were grouped based on the occurrence of MACE, and differences in clinical data, plaque baseline, and progression parameters between the two groups were compared. Univariate and multivariate Cox regression analyses were employed to identify factors that could effectively predict the occurrence of MACE in patients. Models were constructed using plaque baseline parameters, plaque progression parameters, and a combination of both. The concordance index-time curve, net reclassification improvement and integrated discrimination improvement were used to evaluate the risk stratification ability of the models.Results:A total of 258 patients were included, of whom 62 cases experienced MACE during the follow-up period. In comparison to the MACE(-) group, patients in the MACE(+) group exhibited longer lesion length, greater degree of stenosis, larger plaque total volume, calcified plaque volume, non-calcified plaque volume, fibrous plaque volume, total plaque burden, lipid-rich plaque burden, higher peri-coronary adipose tissue attenuation index (FAI), and annual change of diameter stenosis(ΔDS/y). There were also more cases of coronary artery disease reporting and data system upgrades and non-obstructive progression to obstructive status ( P<0.05). Multivariate Cox analysis revealed that FAI, ΔDS/y, and non-obstructive progression to obstructive status were independent predictors of MACE occurrence. Concordance index-time curve results indicated that the combined model had a better predictive efficacy for MACE in patients with non-obstructive coronary artery disease compared to models based on plaque baseline parameters and plaque progression parameters. Conclusion:The plaque progression parameters and FAI based on CCTA have the potential to predict the high-risk population for MACE in patients with non-obstructive coronary artery disease, demonstrating good risk stratification value.

Objective To investigate the influence of iodixanol-320 and iopromide-370 on the heart rate of patients in coronary dual-source CT angiography (CTA).Methods The data of 389 patients underwent coronary CTA examinations were retrospectively collected and received contrast media (CM) with either iodixanol-320 (group A) or iopromide-370 (group B), randomly.The heart rate before CM injection (predose HR), during injection (postdose HR) were both recorded.As for the preclinical protocol, patients with heart rate less than 75 beats per minute were pretreated with nitrates (n=278),0.25 mg.Mean heart rate changes from pre to postdose HR were assessed.Results The patients whose mean heart rate changes from pre to postdose were larger than 10 beats per minute was 8(4.4%) for group A and 10(4.8%) for group B.No statistically differences were observed between them(P>0.05).With only intravenous injections of two contrast agents, the patients' heart rates decreased in both groups (4.2 vs 2.7 beats per minute,P>0.05), while the effect could be reduced by nitrates.Conclusion There is no difference in the heart rate between the 2 agents after intravenous injection of either iodixanol-320 or iopromide-370 in coronary CTA with approximately 4% patients whose mean heart rate changes from preto postdose were larger than 10 beats per minute in each group.

Mid-infrared (MIR) spectroscopy is applicable to blood glucose sensing without using any reagent, however, due to a result of inadequate accuracy, till now this method has not been used in clinical detection. The principle and key technologies of blood glucose sensing by MIR spectroscopy are presented in this paper. Along with our experimental results, the paper analyzes ways to enhance measurement accuracy and prediction accuracy by the following four methods: selection of optimized spectral region; application of spectra data processing method; elimination of the interference with other components in the blood, and promotion in system hardware. According to these four improving methods, we designed four experiments, i.e., strict determination of the region where glucose concentration changes most sensitively in MIR, application of genetic algorithm for wavelength selection, normalization of spectra for the purpose of enhancing measuring reproduction, and utilization of CO2 laser as light source. The results show that the measurement accuracy of blood glucose concentration is enhanced almost to a clinical detection level.
Blood Glucose ; analysis ; Humans ; Hyperglycemia ; blood ; Spectrophotometry, Infrared ; methods