RESUMEN
Objective To analyze the effects of deep learning image reconstruction(DLIR)and adaptive statistical iterative recon-struction V(ASIR-V)on the imaging quality of chest CT in patient with pulmonary nodules,and to evaluate the differences based on different image reconstruction techniques in the detection of efficiency of computer-aided diagnosis(CAD)for pulmonary nodules.Methods The image data of pulmonary nodules of eighty patients with chest CT screening were reconstructed with ASIR-V 80％,DLIR-low(DLIR-L),DLIR-medium(DLIR-M)and DLIR-high(DLIR-H)images,respectively.The objective image quality and sub-jective image quality of the four groups were compared and analyzed.Objective image quality includes CT value of region of interest(ROI),noise,signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)and image average gradient.The diagnostic efficacy of CAD in detecting pulmonary nodules of reconstructed images among four groups were further evaluated.Results There were no signifi-cant difference in CT value of ROI of reconstructed images among the four groups(P＞0.05).The noise,SNR and CNR of DLIR-H images were similar to those of ASIR-V 80％(P＞0.05),but significantly better than those of DLIR-L and DLIR-M(P＜0.05).The average gradient of DLIR-L,DLIR-M and DLIR-H images were significantly higher than those of ASIR-V 80％(P＜0.05).The subjective image quality scores of DLIR-L,DLIR-M and DLIR-H images were significantly higher than those of ASIR-V 80％(P＜0.05),and the subjective image quality score of DLIR-H image was the highest.CAD showed the highest true positive rate in DLIR-H images for detecting pulmonary nodules(P＜0.05),and CAD showed the highest false positives per capita in ASIR-V 80％images for detecting pulmonary nodules(P＜0.05).Conclusion The noise,SNR and CNR of DLIR-H images are similar to those of ASIR-V 80％,with the significantly higher image clarity and subjective image quality scores.DLIR-H has advantages in CAD detection of pulmonary nodules,which is an ideal image reconstruction technology for chest CT pulmonary nodule screening.
RESUMEN
Objective To investigate the clinical value of serum cystatin C in the early renal function impairment in elderly patients wtih chronic congestive heart failure (CHF). Methods Serum cystafin Cwas measured in 60 cases with chronic CHF (CHF group), 40 cases with cardiovascular diseases and compensated heart function (compensated heart function group), and other 20 elderly normal volunteers(controlgroup). The correlation between cystafin C, B-type natriuretic peptide (BNP) and LVEF was evaluated. Results The levels of eystatin C in CHF group [(1.86±0.37)mg/L]was higher than that in compensated heart function group [(1.32±0.56) mg/L]and control group [(1.05±0.43) mg/L], P < 0.01. Cystatin C was positively correlated with BNP (r = 0.528,P< 0.01)and negatively correlated with LVEF (r=-0.463, P<0.01). In CHF group, the level of cystatin C and the incidence rate of renal failure was higher in the patients with BNP≥500 ng/L than those with BNP < 500 ng/L. Conclusions Cystatin C is a marker dearly impairment of renal function in elderly patients with chronic CHF. The more severe the heart failure, the more obvious the glomorular filtration function impairment shows.