Objective:To explore the capability of deep learning image reconstruction (DLIR) compared to adaptive statistical iterative reconstruction (ASiR-V) in improving the image quality and myocardial edge sharpness of dynamic stress myocardial CT perfusion imaging (CTP).Methods:Thirty subjects who underwent dynamic stress myocardial CTP at Guangdong Provincial People′s Hospital from September 2023 to February 2024 were recruited. Image data of all enrolled patients were reconstructed using ASiR-V 50%, ASiR-V 80%, medium-intensity DLIR(DLIR-M), and high-intensity DLIR(DLIR-H), respectively. Regions of interest were selected in the left ventricular cavity, interventricular septum, and left ventricular lateral wall for measurement of CT values and standard deviations (SD), and calculation of signal to noise ratio (SNR) and contrast to noise ratio (CNR). Matlab was utilized to obtain the differences (d) and slopes (s) of CT value changes at four left ventricular myocardial edges for objective edge sharpness evaluation. Two radiologists subjectively scored the images for noise, natural appearance, and edge sharpness. In case of disagreement between the two radiologists, a third senior radiologist′s score was decisive. Left ventricular myocardial blood flow (MBF) of ASiR-V and DLIR images with lower SD, higher SNR and CNR were calculated, respectively. When the normal distribution was satisfied, the independent sample t test was used for comparison between two groups, and the random block design ANOVA was used for comparison between multiple groups. And analysis was conducted using Friedman test for non-normally distributed data, and Bonferroni correction for pairwise comparisons. Results:There were statistically significant differences in SD, SNR, and CNR among the four images in the interventricular septum and left ventricular lateral wall (all P<0.05), with ASiR-V 80% and DLIR-H demonstrating the lowest SD, highest SNR and CNR, and the subjective image noise score. Statistically significant differences were observed in d and s for the four left ventricular myocardial edges (all P<0.05), with DLIR-M and DLIR-H exhibiting the best objective edge sharpness [5 (5, 5)], and ASiR-V 80% the worst [3.5 (3, 4)]. In the subjective scores for natural appearance, DLIR-M and DLIR-H received the highest scores [5 (5, 5)], while ASiR-V 80% received the lowest scores [3 (3, 4)], with statistically significant differences (all P<0.05). There was no statistically significant difference in MBF values calculated from ASiR-V 80% and DLIR-H images (all P>0.05). Conclusions:The SD value, SNR and CNR of dynamic stress myocardial CTP images reconstructed by DLIR-H are equivalent to ASiR-V 80%, and using DLIR-H can improve the edge sharpness of left ventricular myocardium without affecting the calculation of MBF.

Objective:To explore the capability of deep learning image reconstruction (DLIR) compared to adaptive statistical iterative reconstruction (ASiR-V) in improving the image quality and myocardial edge sharpness of dynamic stress myocardial CT perfusion imaging (CTP).Methods:Thirty subjects who underwent dynamic stress myocardial CTP at Guangdong Provincial People′s Hospital from September 2023 to February 2024 were recruited. Image data of all enrolled patients were reconstructed using ASiR-V 50%, ASiR-V 80%, medium-intensity DLIR(DLIR-M), and high-intensity DLIR(DLIR-H), respectively. Regions of interest were selected in the left ventricular cavity, interventricular septum, and left ventricular lateral wall for measurement of CT values and standard deviations (SD), and calculation of signal to noise ratio (SNR) and contrast to noise ratio (CNR). Matlab was utilized to obtain the differences (d) and slopes (s) of CT value changes at four left ventricular myocardial edges for objective edge sharpness evaluation. Two radiologists subjectively scored the images for noise, natural appearance, and edge sharpness. In case of disagreement between the two radiologists, a third senior radiologist′s score was decisive. Left ventricular myocardial blood flow (MBF) of ASiR-V and DLIR images with lower SD, higher SNR and CNR were calculated, respectively. When the normal distribution was satisfied, the independent sample t test was used for comparison between two groups, and the random block design ANOVA was used for comparison between multiple groups. And analysis was conducted using Friedman test for non-normally distributed data, and Bonferroni correction for pairwise comparisons. Results:There were statistically significant differences in SD, SNR, and CNR among the four images in the interventricular septum and left ventricular lateral wall (all P<0.05), with ASiR-V 80% and DLIR-H demonstrating the lowest SD, highest SNR and CNR, and the subjective image noise score. Statistically significant differences were observed in d and s for the four left ventricular myocardial edges (all P<0.05), with DLIR-M and DLIR-H exhibiting the best objective edge sharpness [5 (5, 5)], and ASiR-V 80% the worst [3.5 (3, 4)]. In the subjective scores for natural appearance, DLIR-M and DLIR-H received the highest scores [5 (5, 5)], while ASiR-V 80% received the lowest scores [3 (3, 4)], with statistically significant differences (all P<0.05). There was no statistically significant difference in MBF values calculated from ASiR-V 80% and DLIR-H images (all P>0.05). Conclusions:The SD value, SNR and CNR of dynamic stress myocardial CTP images reconstructed by DLIR-H are equivalent to ASiR-V 80%, and using DLIR-H can improve the edge sharpness of left ventricular myocardium without affecting the calculation of MBF.

Objective:To discuss the effect of cold exposure on nociception in the rats and its regulatory mechanism on transient receptor potential(TRP)ion channels in the sensory neurons,and to provide the basis for clarifying the biological mechanism of cold-sensitive pain.Methods:Sixteen female SD rats were divided into control group(n=8)and cold group(n=8).The rats in control group were exposed to the environment of(24±2)℃,and the rats in cold group were exposed to low temperature(4 ℃±1 ℃)in an artificial intelligence climate chamber for 4 h daily,for one week.Von Frey filaments were used to detect the mechanical withdrawal threshold(MWT)of the rats in two groups;immunofluorescence staining was used to observe the expression levels of TRPA1,TRPM8,TRPV1,and TRPV4 in dorsal root ganglion(DRG)tissue of the rats in two groups,the expression levels of calcitonin gene-related peptide(CGRP)and substance P(SP)in DRG tissue of the rats in two groups,and the expression levels of TRPA1,TRPM8,TRPV1,and TRPV4 in synovial tissue of the rats in two groups.Results:Compared with control group,the MWT of the rats in cold group was significantly decreased(P＜0.05),the expression levels of TRPA1 and TRPM8 in DRG tissue were significantly increased(P＜0.05),the expression level of TRPV1 was significantly decreased(P＜0.05),there was no significant difference in the expression level of TRPV4(P＞0.05),and the expression levels of CGRP and SP were significantly increased(P＜0.05).Compared with control group,the expression level of TRPA1 in synovial tissue of the rats in cold group was significantly increased(P＜0.05),while the expression levels of TRPM8,TRPV1,and TRPV4 were significantly decreased(P＜0.05).Conclusion:Short-term cold exposure can induce the hyperalgesia of the rats,and its mechanism may be associated with the changes in the expression of TRP ion channels in DRG and synovial tissues.TRPA1 sensory neurons play an important role in local joint cold pain.

Cardiovascular disease is the leading cause of death among Chinese residents, and non-invasive imaging technology has important value in the diagnosis and treatment of cardiovascular disease. Cardiac magnetic resonance (CMR) can characterize cardiac pathophysiological information from multiple dimensions, including cardiac structure, function, tissue characteristics, and microstructure, through multi parameter and multi sequence " one-stop" imaging. This article will focus on new technologies such as CMRT1 mapping, feature tracking, and diffusion tensor imaging, and explain their applications and progress in the diagnosis, efficacy monitoring, and prognosis prediction of various myocardial lesions such as non ischemic heart disease and ischemic heart disease.

Objective:To apply cardiovascular magnetic resonance (CMR) to quantitatively evaluate the morphology and tissue characteristics of thoracic skeletal muscle (TSM) in patients with Danon disease and hypertrophic cardiomyopathy (HCM), in order to provide auxiliary differential diagnostic information.Methods:A retrospective study was conducted on 15 Danon disease patients (Danon disease group) who completed CMR examination, and 15 HCM patients (HCM group) and 15 healthy volunteers (control group) who were matched by gender and age were compared. TSM (pectoralis major, pectoralis minor, erector spinae, and subscapularis) area index (TSMAi), T1 relaxation time of four groups, and extracellular volume (ECV) of skeletal muscles of two groups (pectoralis major and subscapularis) were measured for all subjects. Single factor analysis of variance and KruskalWallis test were used to compare three sets of values.Results:The total TSMAi of the Danon disease group was lower than that of the HCM group and the control group [(15.37±3.28)cm 2/m 2 vs (23.02±3.88)cm 2/m 2 vs (22.33±4.67)cm 2/m 2, P<0.001], and the TSMAi of each TSM was also lower than that of the HCM group and the control group (all P<0.05). There was no statistically significant difference in TSMAi between the HCM group and the control group (all P>0.05). The native T1 values of the pectoralis major muscle in the Danon disease group and HCM group were higher than those in the control group (all P<0.05). The ECV of the pectoralis major muscle and subscapularis muscle in the Danon disease group were higher than those in the HCM group and control group, and the enhanced T1 values were lower than those in the HCM group and control group (all P<0.05); There was no statistically significant difference in ECV and the enhanced T1 values between the HCM group and the control group ( P>0.05). Conclusions:The application of CMR can effectively evaluate the changes in TSM morphology and tissue characteristics in Danon disease patients. Compared with HCM patients, Danon disease patients showed significant atrophy of TSM with increased extracellular volume. CMR provides a quantitative reference for TSM in the differential diagnosis of the two.

Objective:To investigate the hemodynamic changes in the ascending aorta (AAo) before and after interventricular septal myocardial resection in obstructive hypertrophic cardiomyopathy (HOCM) using cardiac magnetic resonance four-dimensional blood flow (CMR 4D Flow) technology.Methods:HOCM patients who underwent interventricular septal myocardial resection at Guangdong Provincial People′s Hospital from May 2021 to September 2022 were prospectively included. Age and gender matched healthy volunteers (control group) were included during the same period. Both the control group and HOCM patients underwent CMR examination (including cine sequence and 4D Flow sequence) before and 6 months after surgery. CMR 4D flow technology was used to evaluate changes in AAo preoperative and postoperative blood flow patterns (eddy currents, spiral flow), maximum energy loss (EL max), and average energy loss (EL avg). HOCM patients underwent laboratory tests, including N-terminal pro-brain natriuretic peptide (N-pro BNP) and high-sensitivity troponin T (hsTnT). At the same time, the correlation between postoperative energy loss in HOCM patients and the degree of improvement in laboratory biomarkers was explored. Results:A total of 15 HOCM patients and 15 healthy volunteers were included. (1) In terms of blood flow patterns, the preoperative spiral flow degree of HOCM patients was significantly higher than that of the control group ( P=0.001), but the postoperative difference was not statistically significant ( P=0.059). The degree of eddy currents in HOCM patients before and after surgery was higher than that in the control group (all P<0.05). (2) In terms of energy loss, the preoperative EL max [21.17(14.30-28.10)mW vs 10.17(7.66-13.07)mW, P<0.001] and EL avg [4.87(3.46-5.77)mW vs 2.27(2.19-2.27)mW, P=0.023] of HOCM patients were higher than those of the control group, but there was no statistically significant difference between the postoperative and control groups (all P>0.05). Compared with preoperative, the postoperative EL max [12.33(8.70-17.41)mW] and EL avg [3.10(2.25-4.40)mW] of AAo in HOCM patients were significantly reduced (mean P=0.001). (3) Correlation analysis showed that there was a positive correlation ( r=0.587, P=0.021) between the EL max of AAo and the degree of improvement in hsTNT after interventricular septum myocardial resection, but no significant correlation ( r=0.229, P=0.413) with the degree of improvement in NT-pro BNP. Conclusions:The degree of postoperative AAo blood flow disorder in HOCM patients is reduced, and EL max and EL avg are significantly reduced. The EL max of postoperative AAo is positively correlated with the degree of improvement in hsTNT, suggesting that EL max may be applicable for prognostic evaluation of patients.

OBJECTIVES: Glioma is the most common intracranial primary tumor in central nervous system. Glioma grading possesses important guiding significance for the selection of clinical treatment and follow-up plan, and the assessment of prognosis. This study aims to explore the feasibility of logistic regression model based on radiomics to predict glioma grading. METHODS: Retrospective analysis was performed on 146 glioma patients with confirmed pathological diagnosis from January, 2012 to December, 2018. A total of 41 radiomics features were extracted from contrast-enhanced T RESULTS: A total of 5 imaging features selected by LASSO were used to establish a logistic regression model for predicting glioma grading. The model showed good discrimination with AUC value of 0.919. Hosmer-Lemeshow test showed no significant difference between the calibration curve and the ideal curve ( CONCLUSIONS The logistic regression model using radiomics exhibits a relatively high accuracy for predicting glioma grading, which may serve as a complementary tool for preoperative prediction of giloma grading.
Brain Neoplasms/diagnostic imaging* ; Glioma/diagnostic imaging* ; Humans ; Logistic Models ; Magnetic Resonance Imaging ; ROC Curve ; Retrospective Studies

OBJECTIVE:To study the protective effects and the mechanism of Rabdosia serra water extract(RWE)on hepatic fibrosis(HF)induced by carbon tetrachloride(CCl4)in rats. METHODS:Sixty male SD rats were randomly divided into normal group,model group,colchicine group(0.12 mg/kg),and RWE low-dose,medium-dose and high-dose groups(4,8,16 g/kg,by crude drug),with 10 rats in each group. Except for intraperitoneal injection of olive oil for normal group,other groups were given 40% CCl4olive oil solution intraperitoneally to induce HF model. Since the first day of modeling,each treatment group was given relevant medicine (10 mL/kg) intragastrically, while normal group and model group were given constant volume of water intragastrically,once a day,for consecutive 6 weeks. After medication,biochemical process or ELISA were used to determine the contents of ALT,AST,HA,LN,PCⅢ and Ⅳ-C in serum,the activities or contents of SOD,GSH-Px,MDA,TNF-α,IL-6 and IL-1β in liver tissue. Pathological changes of liver tissue in rats were observed by HE staining. The expression of α-SMA and TGF-β1 in liver tissue were detected by Western blot. RESULTS:Compared with normal group,the contents of ALT,AST,LN,HA,PCⅢ and Ⅳ-C in serum,the contents of MDA,TNF-α,IL-6 and IL-1β in liver tissue were all increased significantly in model group (P＜0.01);the activities of SOD and GSH-Px in liver tissue were decreased significantly(P＜0.01). Liver fibrosis was obvious, and the relative expression of α-SMA and TGF-β 1were increased significantly (P＜0.01). Compared with model group,the contents of ALT,AST,HA,LN,PCⅢ and Ⅳ-C in serum as well as the contents of MDA,TNF-α and IL-6 in liver tissue in colchicines group and RWE groups,the contents of IL-1 β in liver tissue of rats in colchicines group,RWE medium-dose and high-dose groups were all decreased significantly (P＜0.05 or P＜0.01). The activities of SOD and GSH-Px in liver tissue of rats were increased significantly in colchicines group and RWE groups(P＜0.05 or P＜0.01). The fibrosis degree of liver tissue was significantly reduced, while the relative expression of α-SMA and TGF-β 1decreased significantly (P＜0.01). CONCLUSIONS:RWE can protect CCl4-induced HF model rats,the mechanism of which may be associated with regulating lipid metabolism,relieving liver lipid peroxidation injury and anti-oxidative stress response,inhibiting the release of inflammatory factors and the expression of TGF-β1.

To explore the feasibility and efficacy of artificial neural network for differentiating high-grade glioma and low-grade glioma using image information.
 Methods: A total of 130 glioma patients with confirmed pathological diagnosis were selected retrospectively from 2012 to 2017. Forty one imaging features were extracted from each subjects based on 2-dimension magnetic resonance T1 weighted imaging with contrast-enhancement. An artificial neural network model was created and optimized according to the performance of feature selection. The training dataset was randomly selected half of the whole dataset, and the other half dataset was used to verify the performance of the neural network for glioma grading. The training-verification process was repeated for 100 times and the performance was averaged.
 Results: A total of 5 imaging features were selected as the ultimate input features for the neural network. The mean accuracy of the neural network for glioma grading was 90.32%, with a mean sensitivity at 87.86% and a mean specificity at 92.49%. The area under the curve of receiver operating characteristic curve was 0.9486.
 Conclusion: As a technique of artificial intelligence, neural network can reach a relatively high accuracy for the grading of glioma and provide a non-invasive and promising computer-aided diagnostic process for the pre-operative grading of glioma.
Brain Neoplasms ; diagnostic imaging ; pathology ; Glioma ; diagnostic imaging ; pathology ; Humans ; Magnetic Resonance Imaging ; Neoplasm Grading ; Neural Networks, Computer ; ROC Curve ; Retrospective Studies ; Sensitivity and Specificity

Objective To study the clinical efficacy of acupuncture combined with medication plus joint mobilization in the treatment of lumbar intervertebral disc protrusion accompanied with secondary lumbar spinal stenosis.MethodsTotally 66 cases of lumbar intervertebral disc protrusion accompanied with secondary lumbar spinal stenosis were collected randomly and divided into treatment group (34 cases) and control group (32 cases). The control group was given treatment of simple acupuncture and TCM medication, while the treatment group was given joint mobilization treatment besides acupuncture and TCM medication. Functions of lumbar vertebra were evaluated by ODI scale and the degrees of pain were evaluated by VAS. The clinical efficacy in the two groups was compared. Results ODI in both groups were significantly improved after treatment compared with that before treatment. However, the changing range of the ODI of the treatment group was more significant than that in control group (P<0.01). After treatment, VAS scores were relieved (P<0.05) in both groups, and treatment group was more significant than that in control group (P<0.05). The total clinical efficacy was 97.06% (33/34) in the treatment group, and 84.38% (27/32) in the control group, with statistical significance (P<0.05).Conclusion Acupuncture combined with medication plus joint mobilization in the treatment of lumbar intervertebral disc protrusion accompanied with secondary lumbar spinal stenosis has good efficacy.