Chinese-foreign joint education program of clinical medicine is an important means to achieve the globalization of medical education. Chongqing Medical University and University of Leicester in the UK have jointly established a Chinese-foreign joint education program of clinical medicine to achieve the integration of Chinese and British cultivation concepts, management systems, teaching resources, teacher teams, evaluation systems, and multiculturalism. They have also constructed an internal teaching quality assurance system with the main contents of the improvement of management mechanisms, the formulation of training programs, the construction of teaching staff, the design of syllabuses, the curriculum assessment system, and teaching quality evaluation, as well as an external teaching quality assurance system with the core components of clinical medicine accreditation, Chinese-foreign joint education program evaluations, international quality audits, and professional quality monitoring. Both systems can help to comprehensively improve teaching quality.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Chinese-foreign joint education program of clinical medicine is an important means to achieve the globalization of medical education. Chongqing Medical University and University of Leicester in the UK have jointly established a Chinese-foreign joint education program of clinical medicine to achieve the integration of Chinese and British cultivation concepts, management systems, teaching resources, teacher teams, evaluation systems, and multiculturalism. They have also constructed an internal teaching quality assurance system with the main contents of the improvement of management mechanisms, the formulation of training programs, the construction of teaching staff, the design of syllabuses, the curriculum assessment system, and teaching quality evaluation, as well as an external teaching quality assurance system with the core components of clinical medicine accreditation, Chinese-foreign joint education program evaluations, international quality audits, and professional quality monitoring. Both systems can help to comprehensively improve teaching quality.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To propose a deep learning neural network approach for transforming megavoltage computed tomography(MVCT)images of cervical cancer into pseudo kilovoltage computed tomography(kVCT)images with high signal-to-noise ratio and contrast-to-noise ratio,thus providing three-dimensional anatomical images and localization information required for adaptive radiotherapy of cervical cancer,and guiding the accelerator to achieve precise treatment.Methods The MVCT and kVCT images of 54 patients treated with cervical cancer radiotherapy were collected,with 44 cases randomly selected as the training set,and the remaining 10 cases as the test set.A cyclic generative adversarial network with gating mechanism and multi-channel data input was used to synthesize pseudo-kVCT images from MVCT images.The network training results were evaluated with imaging quality evaluation parameters,such as mean absolute error(MAE),peak signal-to-noise ratio(PSNR),and structural similarity index(SSIM).Results The MAE,PSNR,and SSIM of MVCT imagesvspseudo-kVCT(5:5)images were(24.9±0.7)HUvs(17.8±0.3)HU,(29.8±0.2)dBvs(30.7±0.2)dB,and 0.841±0.007 vs 0.898±0.003,respectively.Conclusion The generated pseudo-kVCT images have advantages in noise reduction and contrast enhancement,and can reduce the need for additional MV-kVCT electron density calibration in dose calculations.The dose calculation ability of pseudo-kVCT is comparable to that of MVCT,providing a possibility for the application of pseudo-kVCT images in image-guided adaptive radiotherapy.

The prognosis-related forecasting model for burn patients was first proposed in 1961, and the establishment of the models not only plays an important role in assessing the severity of burns and predicting fatality rate, but also has a positive implication for improving treatment strategies of patients. The early prognosis-related forecasting models for burn patients are mainly based on factors including patients' age and burn area, and as the research goes on, the prognostic forecasting models are constantly updated and improved. There are new insights provided by an increasing number of scholars. This article summarizes the brief history of development of prognosis-related forecasting models for burn patients, the progress of some prognosis-related forecasting models for burn patients at home and abroad, and the related risk factors, with the aim of providing some references for the selection of appropriate forecasting models in clinic.

Objective To investigate the effect of BIS-guided closed-loop target-controlled infusion on perioperative Th1/Th2 balance in elderly patients undergoing laparoscopic radical gastrectomy under different anesthesia and sedation depths. Methods We applied random number table method to divide 73 elderly patients undergoing elective laparoscopic radical gastrectomy into BIS closed-loop target-controlled infusion group with BIS value of 55(group H, n=36) and BIS value of 45(group L, n=37).Intravenous blood samples were collected immediately before surgery (T1), 2h after surgery (T2), 24h after surgery (T3) and 72h after surgery (T4).IL-2, IL-4, IL-6, IL-10, TNF-α and IFN-γ were determined by flow cytometry microsphere array.We compared operation duration, postoperative PACU stay time and postoperative hospitalization time between two groups. Results Compared with T1, IL-6 and IL-10 concentration in group H at T2, T3 and T4 significantly increased (P < 0.05), IL-4 and TNF-α in group H at T4 were significantly increased (P < 0.05), IL-2 and IFN-γ in group H at T2 and T4 were significantly increased (P < 0.05), the concentration of IL-6 and IL-10 in group L at T2, T3 and T4 were increased (P < 0.05), IL-2 in group L at T4 was decreased (P < 0.05), and IFN-γ/IL-6 in two groups were decreased at T2, T3 and T4(P < 0.05).Compared with group L, IL-6 and IL-10 in group H were significantly increased at T2(P < 0.05), IFN-γ/IL-6 in group H was significantly decreased (P < 0.05), IL-2 and IL-10 in group H were significantly increased at T4(P < 0.05).Operation duration, postoperative PACU stay time and postoperative hospitalization time had no statistical significance between two groups (P > 0.05). Conclusion The anesthesia and sedation depth of BIS-guided closed-loop target-controlled infusion set at 45 is better than 55 in maintaining Th1/Th2 balance in elderly patients undergoing laparoscopic radical gastrectomy, but it has no obvious effect on long-term prognosis.

Objective:To evaluate the effect of radical image-guided radiotherapy (IGRT) on the target dose in cervical cancer and investigate the appropriate application mode.Methods:Twenty patients with cervical cancer treated with helical tomotherapy (HT) in Seventh Medical Center of PLA General Hospital from 2012 to 2016 were selected. A megavoltage CT (MVCT) scan was performed before each treatment. The obtained MVCT images were used for dose parameter in the adaptive module of HT to obtain the actual dose (Plan 1) and the non-image-guided dose parameter was simulated (Plan 2). Each single dose distribution and the corresponding fused CT images were transferred to the software Mimvista 6.5 to obtain the total radiation dose parameter by dose superposition.Results:The motion of CTV, uterus and GTV in Plan 2 was significantly larger than that of Plan 1(all P<0.05), and the largest changes were seen in the ventrodorsal and uterine direction. The V 45Gy, V 50Gy, D 98% and D mean of CTV and uterus and V 50Gy of GTV in Plan 2 were significantly decreased compared with those in Plan 1(all P<0.05). The left-right motion of Plan 1 was negatively correlated with D 2% and D 98% of CTV and uterus (both P<0.05). The head-foot motion was negatively associated with V 45Gy and V 50Gy of GTV (both P<0.05). The ventrodorsal motion was negatively correlated with D 98% of uterus ( P<0.05). The left-right motion of Plan 2 was negatively correlated with D 2% of CTV and V 50Gy of uterus (both P<0.05). The head-foot motion was negatively associated with D 98% of CTV, and D 98%, D mean, V 45Gy and V 50Gy of uterus (all P<0.05). The ventrodorsal motion was negatively correlated with D 98% of CTV, D 98%, D mean, V 45Gy and V 50Gy of uterus, and D mean and V 45Gy of GTV (all P<0.05). Conclusions:In intensity-modulated radiotherapy for cervical cancer, the uterine body displacement is large and the low CTV area is mainly located in the uterine body. IGRT can significantly reduce the dosimetric deviation induced by organ movement.

Background: The present investigation explored the therapeutic actions of oleuropein along with the possible signaling pathway involved in attenuating neuropathic pain in chronic constriction injury (CCI) and vincristine-induced neuropathic pain in male rats. Methods: Four loose ligatures were placed around the sciatic nerve to induce CCI, and vincristine (50 μg/kg) was injected for 10 days to develop neuropathic pain.The development of cold allodynia, mechanical allodynia, and mechanical hyperalgesia was assessed using different pain-related behavioral tests. The levels of H2S, cystathionine-γ-lyase (CSE), cystathionine-β-synthase (CBS), orexin, and nuclear factor erythroid-2-related factor 2 (Nrf2) were measured in the sciatic nerve. Results: Treatment with oleuropein for 14 days led to significant amelioration of behavioral manifestations of neuropathic pain in two pain models. Moreover, oleuropein restored both CCI and vincristine-induced decreases in H2S, CSE, CBS, orexin, and Nrf2 levels. Co-administration of suvorexant, an orexin receptor antagonist, significantly counteracted the pain-attenuating actions of oleuropein and Nrf2 levels without modulating H2S, CSE and CBS. Conclusions Oleuropein has therapeutic potential to attenuate the pain manifestations in CCI and vincristine-induced neuropathic pain, possibly by restoring the CSE, CBS, and H2S, which may subsequently increase the expression of orexin and Nrf2 to ameliorate behavioral manifestations of pain.

Background: The present investigation explored the therapeutic actions of oleuropein along with the possible signaling pathway involved in attenuating neuropathic pain in chronic constriction injury (CCI) and vincristine-induced neuropathic pain in male rats. Methods: Four loose ligatures were placed around the sciatic nerve to induce CCI, and vincristine (50 μg/kg) was injected for 10 days to develop neuropathic pain.The development of cold allodynia, mechanical allodynia, and mechanical hyperalgesia was assessed using different pain-related behavioral tests. The levels of H2S, cystathionine-γ-lyase (CSE), cystathionine-β-synthase (CBS), orexin, and nuclear factor erythroid-2-related factor 2 (Nrf2) were measured in the sciatic nerve. Results: Treatment with oleuropein for 14 days led to significant amelioration of behavioral manifestations of neuropathic pain in two pain models. Moreover, oleuropein restored both CCI and vincristine-induced decreases in H2S, CSE, CBS, orexin, and Nrf2 levels. Co-administration of suvorexant, an orexin receptor antagonist, significantly counteracted the pain-attenuating actions of oleuropein and Nrf2 levels without modulating H2S, CSE and CBS. Conclusions Oleuropein has therapeutic potential to attenuate the pain manifestations in CCI and vincristine-induced neuropathic pain, possibly by restoring the CSE, CBS, and H2S, which may subsequently increase the expression of orexin and Nrf2 to ameliorate behavioral manifestations of pain.