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.

Objective:To evaluate the safety and clinical efficacy of hypofractionated radiotherapy (HFRT) at 36.5 Gy in 10 fractions for the chest wall and reginal lymph nodes following modified radical mastectomy for breast cancer.Methods:This was a prospective, single-arm, phase Ⅱ clinical study. A total of 85 patients who received HFRT at 36.5 Gy in 10 fractions to the chest wall ± supraclavicular region following modified radical mastectomy for locally advanced breast cancer from March 2014 to December 2015 were included. The primary endpoint was radiotherapy toxicities. The secondary endpoints were locoregional failure-free survival (LRFFS), disease-free survival (DFS), and overall survival (OS).Results:The median follow-up period was 98 (94.0-109.0) months. Radiotherapy toxicities were mild. The incidence rates of grade 1 acute cutaneous and pulmonary toxicities were 52.9% and 40%, and those of grade 1 late cutaneous, pulmonary, and cardiac toxicities and upper extremity edema were 10.6%, 29.4%, 2.4%, and 21.2%, respectively. Only 1 (1.2%) patient suffered from grade 2 radiation-induced brachial plexus injury. Of the 85 patients, one patient had regional recurrence (supraclavicular lymph nodes), six patients had distant metastasis, and six patients died of breast cancer. The 9-year LRFFS, DFS, and OS were 97.7%, 91.8%, and 92.8%, respectively.Conclusions:HFRT at 36.5 Gy in 10 fractions following modified radical mastectomy for breast cancer is associated with mild toxicities. A phase Ⅲ study is necessary for validating HFRT's clinical efficacy.

Mandibular defects caused by injuries, tumors, and infections are common and can severely affect mandibular function and the patient's appearance. However, mandible reconstruction with a mandibular bionic structure remains challenging. Inspired by the process of intramembranous ossification in mandibular development, a hierarchical vascularized engineered bone consisting of angiogenesis and osteogenesis modules has been produced. Moreover, the hierarchical vascular network and bone structure generated by these hierarchical vascularized engineered bone modules match the particular anatomical structure of the mandible. The ultra-tough polyion complex has been used as the basic scaffold for hierarchical vascularized engineered bone for ensuring better reconstruction of mandible function. According to the results of in vivo experiments, the bone regenerated using hierarchical vascularized engineered bone is similar to the natural mandibular bone in terms of morphology and genomics. The sonic hedgehog signaling pathway is specifically activated in hierarchical vascularized engineered bone, indicating that the new bone in hierarchical vascularized engineered bone underwent a process of intramembranous ossification identical to that of mandible development. Thus, hierarchical vascularized engineered bone has a high potential for clinical application in mandibular defect reconstruction. Moreover, the concept based on developmental processes and bionic structures provides an effective strategy for tissue regeneration.
Bone Regeneration ; Bone Transplantation/methods* ; Hedgehog Proteins ; Humans ; Mandible/surgery* ; Osteogenesis

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 explore the clinical efficacy of allogenic mesenchymal stem cells transplantation (MSCT) in patients with refractory polymyositis/dermatomyositis (PM/DM). Methods Bone marrow derived mesenchymal stem cells (BM-MSC) or umbilical cord derived mesenchymal stem cells (UC-MSC)were infused intravenously in 8 PM/DM patients. The clinical manifestations and laboratory parameters,including serum creatin in kinase (CK) and manual muscle test 8 (MMT8) score, were compared before and after MSCT. Staistically andlyzed by paired t-test. Results The eight patients were followed up for six to twelve months after MSCT. The level of serum CK decreased from (1681±430) to (886±248) U/L one week after MSCT (P＜0.05) and further decreased at week 2 (474±61) U/L, 1 month (293±89) U/L, 3 month (202±70) U/L and 6 month (175±46) U/L, respectively (all P＜0.05). MMT8 score increased to 1 month [(67±3) vs (45±14), P＜0.05], 3 month [(64±10) vs (45±14), P＜0.05], 6 month [(64±4) vs (45±14),P＜0.05] after MSCT. The dosage of glucocorticoid steroid were tapered in all patients 2 weeks after MSCT [(18±6) mg vs (34±15) mg, P＜0.05]. Clinical symptoms of interstitial pneumonia of both patients were relieved after MSCT, which was confirmed by the result of high resolution CT (HRCT) of the lung.The skin ulcers tended to be recovered after the transplantation in one DM patient. All patients did not develop transplantation related complications. Conclusion Allogenic MSCT is an effective and safe approach for the treatment of refractory PM/DM. However, extensive follow-up study is needed for long-term benefit evaluation.