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.

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.

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.

Objective To analyze the prognostic factors in the patients with HER2-positive breast cancer adjuvant treated with trastuzumab.Methods We conducted a retrospective analysis of clinical data of 1 246 patients diagnosed with HER2-positive breast cancer between January 2009 and December 2019 who received treatment with trastuzumab.We investigated the factors impacting their prognosis by the Log-rank test univariate analysis and multivariate COX regression analysis.Results HER2-positive patients treated with trastuzumab had a poor prognosis in pT2-3(HR=2.10,P=0.003),pN2-3(HR=2.81,P<0.001),and no endocrine therapy(HR=2.50,P<0.001),and that had a better prognosis combined with taxane or other chemotherapy regimens(HR=0.40,P=0.017).We divided the patients into two subgroups according to the status of lymph node metastasis,and we found that in the negative lymph nodes group the patients with pT2-3 stage had poor prognosis(P=0.020),while the patients combined with taxane or other chemotherapy had better prognosis(P=0.032).In the positive lymph nodes group the patients with pT2-3 stage and no endocrine therapy had poor prognosis(P=0.012,P=0.001).Conclusions The patients with HER2-positive breast cancer treated with trastuzumab can be managed in different categories,for individuals without lymph node involvement and small tumor sizes,combining therapy with non-anthracycline chemotherapy is preferable for achieving improved outcomes,for patients with lymph node metastasis and large tumor sizes,if chemotherapy options are available,it is more recommended to use an anthracycline-free regimen to ensure the same prognosis while reducing the harm caused by the toxic side effects of chemotherapy.

OBJECTIVE To analyze the effects of the national centralized drug procurement （NCDP） policy on drug availability and the structure of drug use in public hospitals. METHODS Using hypoglycemic， lipid-lowering， antiviral drugs， and psychiatric drugs for the treatment of mental illness and depression as objects， the interrupted time series model was used to quantitatively evaluate the changes in consumption sum of drugs， consumption amount and daily cost of the target drugs in national sample hospitals as well as the changes in per capita medication frequency， outpatient prescription amount， and medical insurance surplus of target drugs in a third grade class A hospital before and after the implementation of NCDP policy. RESULTS After the implementation of the NCDP policy， the volume for the four bid-winning drugs increased significantly （P＜0.01 for the remaining three categories except for hypoglycemic drugs）， but DDDc （P＜0.01） and the amount of related drugs （P＜0.001） decreased significantly. The volume for the non-winning drugs （except for lipid-lowering drugs） decreased significantly （P＜0.05）， and DDDc also decreased significantly （P＜0.05 for other 3 categories except for psychiatric drugs）； the volume （P＜0.01） and DDDc （P＜0.01 only for psychiatric drugs） for alternative drugs all increased except for antiviral drugs. The structure of drug use for different drugs was affected differently by the NCDP policy，and that of hypoglycemic drugs was affected obviously； the proportion of alternative drugs increased after centralized procurement. The outpatient prescription amount of each hospital significantly decreased after centralized procurement，and the decrease in the cost paid by the patients using lipid-lowering and antiviral drugs related to centralized procurement was greater than 0.60； the remaining medical insurance amount for bid-winning drugs was approximately 1.252 5 million yuan. CONCLUSIONS NCDP policy effectively alleviates the burden of medical expenditure and also drives the structure changes of drug use such as the substitution of generic drugs for original drugs， the growth of the volume of alternative drugs.

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.