ObjectiveTo investigate application value of parametric image processing in contrastenhanced ultrasound imaging in diagnosis of ovarian masses. MethodsFifty cases with ovarian masses underwent routine ultrasound and contrast-enhanced ultrasound imaging using a new dedicated parametric image processing software SonoLiver to analyze patterns of vascular formation and blood stream perfusion in the ovarian mass tissues on a digital video recorder in real time, compare their morphological characteristics of time-intensity curve (TIC) and dynamic vascular patterns (DVP) curve, and analyze quantitatively all indicators generated by SonoLiver.ResultsIn ultrasound imaging of the 50 cases, there were 24 cases (86％) displaying mainly blue lowly-enhanced imaging in those with benign masses and 15 cases (68％)displaying mainly red highly-enhanced imaging in those with malignant masses, with statistical significance (P ＜0. 01 ). There was significantly different characteristics of TIC and DVP between patients with benign and malignant masses. In 23 cases with benign masses, their DVP were significantly higher above the baseline than in those with malignant ones ( P = 0. 000), and in 15 cases with malignant lesions, their DVP were much shorter below the baseline than in those with benign ones, with statistical significance (P ＜0.05). The intensity of contrast medium, the time to reach its peak intensity and average transit time were all significantly higher in those with malignant masses than in those with benign ones (all P ＜ 0. 05 ). But, no statistical difference in the time of initial increasing between the two groups was found (P ＞ 0. 05). ConclusionsThere is significant difference in TIC and DVP of ultrasound imaging between benign and malignant masses, which if combined with contrast enhanced ultrasound parametric image processing can provide a more visualized quantitative information of benign and malignant ovarian masses with SonoLiver software.

Objective To evaluate the treatment effect of negative pressure wound therapy ( NPWT) followed by ultrasonic debridement surgical system ( UDSS) in patients with diabetic foot. Methods Forty-seven diabetic foot ulcer patients( WagnerⅡ~Ⅲ) were divided into two groups,of which 26 patients treated with UDSS combined NPWT,and 21 patients treated with traditional surgical debridement combined NPWT were control group. Cure rate, markedly effective rate and adverse reaction and complication were compared between two groups. Results Compared with control group,the experiment group had higher markedly effective rate in the first week(P<0. 05),and healing rates were higher in the 2th,4th,6th,12th weeks (P<0. 05). There were no differences in the adverse reactions and complications between the two groups. Conclusion UDSS combined with NPWT can accelerate wound cure,may play an important role for the treatment of diabetic foot ulcer.

Anxiety is a strong behavioral and psychological reaction with fear components, while depression is a mental disorder dominated by high or low mood, both of which are accompanied by cognitive and behavioral changes, and are common comorbidities in patients with heart disease. Cardiac surgery is one of the important factors which trigger specific emotional and physiological reactions of patients. Persistent or initial depression and anxiety after surgery will not only increase surgical complications, short- or long-term mortality and medical costs, but also seriously affect patients' social function and quality of life. With the transformation of bio-psycho-social medical model, it is necessary to evaluate the perioperative psychological state and biological risk of patients undergoing cardiac surgery. This article reviews the characteristics, related mechanisms and therapeutic interventions of anxiety and depression in patients undergoing cardiac surgery.

OBJECTIVETo compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging.

METHODSHuber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators.

RESULTSThe experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal.

CONCLUSIONBoth of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.

This study investigated the anti-HSV-2 effect of alumen through in vitro and in vivo experiments. Viable cell counting was employed to assess the toxicity of alumen on Vero cells. The inhibition rate of HSV-2 was defined as the cytopathic effect (CPE) of the cells infected with the virus. Alumen suppositories of different concentrations were vaginally applied to the guinea pigs which were then infected with HSV-2 via a vaginal route. The clinical symptoms were observed and the local virus titer calculated. The results showed that alumen had an in vitro anti-HSV-2 effect by means of antiviral duplication, direct killing of the virus, and antiviral adsorption. Alumen suppositories of different concentrations could reduce or completely inhibit HSV-2 infection in guinea pigs. It was concluded that alumen had an in vitro anti-HSV-2 effect through multiple approaches and it could suppress in vivo vaginal HSV-2 infection of guinea pig to some extent.

Objective We propose a method using total variation (TV) regularization in deconvolution for partial volume correction in PET imaging. In the degraded image model, we used TV regularization procedure in Van Cittert (VC) and Richardson-Lucy (RL) deconvolution algorithms. These methods were tested in simulated NCAT images and images of NEMA NU4-2008 IQ phantom and tumor-bearing mouse scanned by Simens Invoen microPET. The simulated experiment and tumor-bearing mouse experiment showed that the algorithms using TV regularization provided superior qualitative and quantitative appearance compared with traditional VC and RL algorithms. When the mean intensity of the tumor increased by (10 ± 1.8)%, the SD increase percentage was decreased from 49.98%to 14.26%and from 42.76%to 4.70%, suggesting the efficiency of the proposed algorithms for reducing PVEs in PET.

Objective We propose a method using total variation (TV) regularization in deconvolution for partial volume correction in PET imaging. In the degraded image model, we used TV regularization procedure in Van Cittert (VC) and Richardson-Lucy (RL) deconvolution algorithms. These methods were tested in simulated NCAT images and images of NEMA NU4-2008 IQ phantom and tumor-bearing mouse scanned by Simens Invoen microPET. The simulated experiment and tumor-bearing mouse experiment showed that the algorithms using TV regularization provided superior qualitative and quantitative appearance compared with traditional VC and RL algorithms. When the mean intensity of the tumor increased by (10 ± 1.8)%, the SD increase percentage was decreased from 49.98%to 14.26%and from 42.76%to 4.70%, suggesting the efficiency of the proposed algorithms for reducing PVEs in PET.

This study investigated the anti-HSV-2 effect of alumen through in vitro and in vivo experiments.Viable cell counting was employed to assess the toxicity of alumen on Vero cells.The inhibition rate of HSV-2 was defined as the cytopathic effect (CPE) of the cells infected with the virus.Alumen suppositories of different concentrations were vaginally applied to the guinea pigs which were then infected with HSV-2 via a vaginal route.The clinical symptoms were observed and the local virus titer calculated.The results showed that alumen had an in vitro anti-HSV-2 effect by means of antiviral duplication,direct killing of the virus,and antiviral adsorption.Alumen suppositories of different concentrations could reduce or completely inhibit HSV-2 infection in guinea pigs.It was concluded that alumen had an in vitro anti-HSV-2 effect through multiple approaches and it could suppress in vivo vaginal HSV-2 infection of guinea pig to some extent.

Objective To compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging. Methods Huber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators. Results The experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal. Conclusion Both of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.

Objective To compare two methods for threshold selection in Huber regularization for low-dose computed tomography imaging. Methods Huber regularization-based iterative reconstruction (IR) approach was adopted for low-dose CT image reconstruction and the threshold of Huber regularization was selected based on global versus local edge-detecting operators. Results The experimental results on the simulation data demonstrated that both of the two threshold selection methods in Huber regularization could yield remarkable gains in terms of noise suppression and artifact removal. Conclusion Both of the two methods for threshold selection in Huber regularization can yield high-quality images in low-dose CT image iterative reconstruction.