ObjectiveTo investigate the effect of different exercise interventions on metabolism and liver parameters in patients with metabolic dysfunction-associated fatty liver disease （MAFLD）， and to provide evidence-based recommendations for clinical exercise rehabilitation. MethodsThis study was conducted according to the PRISMA guidelines， and the protocol was registered on the PROSPERO platform， with a registration number of CRD42025641717. PubMed， Web of Science， Scopus， Wiley Online Library， CNKI， Wanfang Data， and VIP were searched for related articles published up to September 2024. The Cochrane tool for assessing risk of bias was used to assess the quality of articles， and Stata MP 17.0 was used to perform the network meta-analysis. ResultsA total of 57 articles were included， involving 2 648 patients. The results showed that aerobic exercise combined with resistance exercise had the best effect in improving body mass index （mean difference ［WMD］=-0.97， 95% confidence interval ［CI］： -1.66 to -0.28］， P<0.05， surface under the cumulative ranking curve ［SUCRA］=85.4） and triglycerides （WMD=-29.6， 95%CI： -46.66 to 12.54， P<0.05， SUCRA=87.3）； resistance exercise was the optimal intervention method for improving total cholesterol （WMD=-15.99， 95%CI： -24.19 to -7.79， P<0.05， SUCRA=79.9） and glutamine transaminase （WMD=-8.08， 95%CI： -12.13 to -4.02， P<0.05， SUCRA=87.3）； low-intensity aerobic exercise had the best effect in improving aspartate aminotransferase （WMD=-4.3， 95%CI： -8.45 to -0.15， P<0.05， SUCRA=73.5）， gamma-glutamyl transpeptidase （GGT） （WMD=-3.26， 95%CI： -7.79 to 1.27， P>0.05， SUCRA=82.3）， and glycated hemoglobin （HbA1c） （WMD=-0.6， 95%CI： -2.02 to 0.82， P>0.05， SUCRA=78.8）； moderate-intensity aerobic exercise was the optimal intervention modality to improve Homeostasis Model Assessment of Insulin Resistance （WMD=-0.92， 95%CI： -1.51 to -0.33， P<0.05， SUCRA=69.4）. It should be noted that there were no significant differences in HbA1c and GGT across different exercise interventions （all P>0.05）， suggesting that there was currently no sufficient statistical evidence to support that exercise could improve these two indicators. ConclusionBased on the comprehensive league table and cumulative probability ranking， aerobic exercise combined with resistance exercise， resistance exercise， and low- and moderate-intensity aerobic exercise may be the best exercise modality for improving key indicators in MAFLD patients， and targeted exercise modalities should be selected for intervention against different indicators； however， due to limitations of the original studies， further studies are needed for validation and exploration.

Objective:To evaluate the safety and efficacy of secondary transport on extracorporeal membrane oxygenation (ECMO) for critically ill children.Methods:This was a retrospective cohort study. Data from 222 pediatric patients who underwent ECMO transport from May 2019 to May 2024 at 5 ECMO centers and Chinese Database of Pediatric Extracorporeal Life Support Organization were collected. The cases were divided into primary and secondary transport groups by nature of transport. The clinical data, including demographics, ECMO indications, transport distance, pre-transport lab results, prognosis and complications were analyzed. Two independent samples t-test, Wilcoxon test, and χ2 test or Fisher′s exact probability method were used to compare the differences between 2 groups and evaluate the safety and efficacy of secondary transport. Results:Among the 222 children transported with ECMO, there were 135 males and 87 females, with an age of 3.0 (0.2, 7.0) years. There were 202 cases in the primary transport group and 20 cases in the secondary transport group. All secondary transport patients had failed attempts at weaning ECMO before transfer. The patients in the secondary transport group were older, had higher rates of surgical cannulation, circulatory support, and pre-ECMO lactate levels compared to the primary transport group (7.0 (2.8, 10.0) vs. 3.0 (0.2, 6.0) years old, 55.0% (11/20) vs. 3.6% (7/202), 80.0% (16/20) vs. 41.6% (84/202), (10±4) vs. (7±6) mmol/L, Z=3.41, χ 2=66.31, 10.99, t=2.24, all P<0.05). In the secondary transport group, the vasoactive-inotropic scores of patients on circulatory support and the oxygenation index for patients requiring respiratory support were higher than those in the primary transport group (83±33 vs. 82±68, 51.0±1.8 vs. 37.4±10.2, t=2.36, 2.63, respectively; both P<0.05). There were no statistically significant differences between the 2 groups in sex, transport distance, pre-ECMO creatinine, arterial blood gas BE values, and ECMO duration (all P>0.05). No life-threatening complications occurred during the transport in either group. Two patients in the secondary transport group underwent heart transplantation, and 1 patient underwent radiofrequency ablation. The overall survival rate between the 2 groups showed no statistically significant difference (45.0% (9/20) vs. 55.4% (112/202), χ2=1.15, P>0.05). Conclusions:Secondary ECMO transport for critically ill children don't increase mortality or life-threatening complications during transport. ECMO patients who cannot receive effective treatment locally can benefit from secondary transport to an advanced ECMO center provides further treatment opportunities.

Objective:To evaluate the safety and efficacy of secondary transport on extracorporeal membrane oxygenation (ECMO) for critically ill children.Methods:This was a retrospective cohort study. Data from 222 pediatric patients who underwent ECMO transport from May 2019 to May 2024 at 5 ECMO centers and Chinese Database of Pediatric Extracorporeal Life Support Organization were collected. The cases were divided into primary and secondary transport groups by nature of transport. The clinical data, including demographics, ECMO indications, transport distance, pre-transport lab results, prognosis and complications were analyzed. Two independent samples t-test, Wilcoxon test, and χ2 test or Fisher′s exact probability method were used to compare the differences between 2 groups and evaluate the safety and efficacy of secondary transport. Results:Among the 222 children transported with ECMO, there were 135 males and 87 females, with an age of 3.0 (0.2, 7.0) years. There were 202 cases in the primary transport group and 20 cases in the secondary transport group. All secondary transport patients had failed attempts at weaning ECMO before transfer. The patients in the secondary transport group were older, had higher rates of surgical cannulation, circulatory support, and pre-ECMO lactate levels compared to the primary transport group (7.0 (2.8, 10.0) vs. 3.0 (0.2, 6.0) years old, 55.0% (11/20) vs. 3.6% (7/202), 80.0% (16/20) vs. 41.6% (84/202), (10±4) vs. (7±6) mmol/L, Z=3.41, χ 2=66.31, 10.99, t=2.24, all P<0.05). In the secondary transport group, the vasoactive-inotropic scores of patients on circulatory support and the oxygenation index for patients requiring respiratory support were higher than those in the primary transport group (83±33 vs. 82±68, 51.0±1.8 vs. 37.4±10.2, t=2.36, 2.63, respectively; both P<0.05). There were no statistically significant differences between the 2 groups in sex, transport distance, pre-ECMO creatinine, arterial blood gas BE values, and ECMO duration (all P>0.05). No life-threatening complications occurred during the transport in either group. Two patients in the secondary transport group underwent heart transplantation, and 1 patient underwent radiofrequency ablation. The overall survival rate between the 2 groups showed no statistically significant difference (45.0% (9/20) vs. 55.4% (112/202), χ2=1.15, P>0.05). Conclusions:Secondary ECMO transport for critically ill children don't increase mortality or life-threatening complications during transport. ECMO patients who cannot receive effective treatment locally can benefit from secondary transport to an advanced ECMO center provides further treatment opportunities.

Artificial intelligence (AI) technologies are being widely applied in radiotherapy. However, the integration of AI into clinical workflows of radiotherapy faces a series of challenges, such as poor model interpretability, domain shifts between clinical application and training data, and the inherent model uncertainties. Therefore, case-specific quality assurance (QA) is essential before deploying AI models in clinical practice. This paper reviews and summarizes QA methodologies for the application of AI models in radiotherapy across four key areas: image registration, image generation, region of interest segmentation, and treatment planning.

Artificial intelligence (AI) technologies are being widely applied in radiotherapy. However, the integration of AI into clinical workflows of radiotherapy faces a series of challenges, such as poor model interpretability, domain shifts between clinical application and training data, and the inherent model uncertainties. Therefore, case-specific quality assurance (QA) is essential before deploying AI models in clinical practice. This paper reviews and summarizes QA methodologies for the application of AI models in radiotherapy across four key areas: image registration, image generation, region of interest segmentation, and treatment planning.

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

Objective:To investigate a time series deep learning model for respiratory motion prediction.Methods:Eighty pieces of respiratory motion data from lung cancer patients were used in this study. They were divided into a training set and a test set at a ratio of 8∶2. The Informer deep learning network was employed to predict the respiratory motions with a latency of about 600 ms. The model performance was evaluated based on normalized root mean square errors (nRMSEs) and relative root mean square errors (rRMSEs).Results:The Informer model outperformed the conventional multilayer perceptron (MLP) and long short-term memory (LSTM) models. The Informer model yielded an average nRMSE and rRMSE of 0.270 and 0.365, respectively, at a prediction time of 423 ms, and 0.380 and 0.379, respectively, at a prediction time of 615 ms.Conclusions:The Informer model performs well in the case of a longer prediction time and has potential application value for improving the effects of the real-time tracking technology.

【Objective】 To investigate the recurrence of patients with renal cell carcinoma (RCC) after robot-assisted partial nephrectomy (RAPN), and to explore the related factors of recurrence. 【Methods】 Clinical data of 367 RCC patients who underwent RAPN during 2015 and 2020 in our hospital were retrospectively collected. Patients were divided into recurrence group and non-recurrence group. The related factors of recurrence and 5-year cumulative recurrence rate of RCC and clear cell renal cell carcinoma (ccRCC) in the recurrence group were analyzed. 【Results】 The median follow-up was 48 (IQR:38-60) months. Recurrence occurred in 9 patients, with a 5-year cumulative recurrence rate of 97.5%. For RCC patients, univariate analysis showed that tumor size, T-stage, R. E. N. A. L. score, R value, N value, and operation time were significantly associated with postoperative recurrence (P<0.05), while multivariate analysis showed that N value (HR=15.75, 95%CI:2.00-124.17, P=0.009) was an independent related factor. For ccRCC patients, univariate analysis showed that hypertension, tumor size, T-stage, R. E. N. A. L. score, N value, operation time and WHO/ISUP grade were significantly associated with postoperative recurrence (P<0.05), while multivariate analysis showed that WHO/ISUP grade (HR=4.99, 95%CI:1.04-24.01, P=0.045) was an independent related factor. 【Conclusion】 The 5-year cumulative recurrence rate of RCC patients after RAPN is 2.5%. N value and WHO/ISUP grade are the independent related factor of recurrence of RCC and ccRCC, respectively.

【Objective】 To explore the influencing factors of planned robot-assisted partial nephrectomy (RAPN) converted to radical nephrectomy (RN). 【Methods】 Clinical data and operation records of 488 patients planned for RAPN in our hospital during 2015 and 2020 were retrospectively collected. The patients were divided into converted and unconverted groups, and relevant clinical data of the two groups were compared. The causes and influencing factors for conversion were analyzed. 【Results】 Among the 488 patients, 14 (2.9%) converted to RN. The causes included: ①complicated tumor anatomy and surgical difficulties; ②local advanced renal tumor suspected during operation; ③severe intraoperative hemorrhage. Univariate analysis showed that R. E. N. A. L score (P<0.001), E value (P<0.001), N value (P<0.001), L value (P<0.001), renal hilum position (P<0.001) and T stage (P=0.002) were influencing factors of conversion. 【Conclusion】 Causes for the conversion of RAPN to RN include complicated tumor anatomy, suspected local advanced renal tumor and severe intraoperative hemorrhage. The R. E. N. A. L score, E value, N value, L value, renal hilum position and T stage are influencing factors.

【Objective】 To compare the feasibility, safety, and efficacy of robot-assisted and open radical nephrectomy for complex kidney neoplasm >8 cm in diameter. 【Methods】 Clinical data of 24 patients with large kidney neoplasm undergoing robot-assisted radical nephrectomy (9 cases, 37.5%) and open radical nephrectomy (15 cases, 62.5%) during Nov.2015 and Aug.2019 were retrospectively analyzed. The surgical parameters, perioperative complications and follow-up outcomes were compared between the two groups. 【Results】 All operations were successful. Compared with the robot group, the open group had a higher incidence of clinical symptoms (93.3% vs.44.4%, P=0.015) and larger maximum tumor diameter (124 mm vs.95 mm, P=0.021). There were no significant differences in other preoperative characteristics between the two groups. The robot group had less intraoperative blood loss (100 mL vs.800 mL, P=0.006) and lower blood transfusion rate (0% vs. 60.0%, P=0.007) than the open group. During the median follow-up of 50 (range: 25-67) months, 4 patients in the open group and 1 in the robot group developed new metastases, and 4 patients in the open group died due to advanced tumor stage. 【Conclusion】 Robot-assisted radical nephrectomy is safe in the treatment of complex and large renal tumors, and causes less intraoperative blood loss than open surgery.