Modified electroconvulsive therapy(MECT)has a good therapeutic effect on major depressive disorder(MDD),but its mechanism of action is still unclear.In recent years,accumulated studies have confirmed the effects of MECT on brain structure and function using neuroimaging techniques and large datasets obtained through global collaborations and the conclusions are becoming increasingly consistent.For example,there is an increase in gray matter volume in specific brain regions such as the hippocampus and amygdala,an increase in white matter microstructural integrity and normalization of brain functional connections associated with MDD,such as the hippocampus-amygdala-subgenual anterior cingulate cortex-prefrontal cortex network,hippocampus-thalamus-temporal cortex-parietal cortex network,etc.However,the relationship between these changes and the mechanism of MECT action still needs further investigation.This review provides an overview of the research progress on the structural and functional changes of the brain by MECT to provide methodological support and theoretical basis for its better application in clinical diagnosis and treatment.

Objective:To evaluate the robustness of fully automated adaptive planning for Ethos online adaptive radiotherapy (ART) based on the intelligent optimization engine (IOE).Methods:Clinical data of 11 stage ⅠB cervical cancer patients admitted to Peking Union Medical College Hospital between June 2021 and June 2022 were retrospectively analyzed. Original planning images and iterative cone-beam computed tomography (iCBCT) images of each radiotherapy treatment were acquired, and all patient data were imported into the Ethos simulator. IOE-based 9-field automatic plan generation was performed for 11 patients using Ethos, and the generated plans were sent to online adaptive radiotherapy simulation to obtain each online adaptive radiotherapy plan (273 fractions in total) and complete the simulated treatment. For comparison, manual plan design was performed based on the images and contoured structures used for online adaptive radiotherapy planning, and the manually plans created with evenly divided 9 fields. Dosimetric parameters, plan complexity parameters, and Mobius quality assurance (QA) pass rates were collected to compare and evaluate the robustness of the online adaptive radiotherapy plan in terms of organs at risk (OAR), target volume dosimetric parameters, and plan complexity by using paired t-test or rank sum test. Results:The online adaptive plan of cervical cancer had comparable planning target volume (PTV) coverage compared to the manual plan. For the clinical target volume (CTV) D 99%, online adaptive plan was significantly higher than the manual plan [(45.93±0.36) vs. (45.32±0.31) Gy, P<0.001]. For hot dose area, the maximum point dose (PTV D max) of adaptive plan was significantly higher than the manual plan [(49.89±1.25) vs. (48.48±0.77) Gy, P<0.001], but the PTV D 1% of adaptive plan was significantly lower than the manual plan [(47.22±0.29) vs. (47.59±0.48) Gy, P<0.001]. There was no statistical difference in the conformal index ( P=0.967). And there was significant difference in the homogeneity index, with same medians and less dispersion in adaptive plan ( P<0.001). For OAR dose, bladder D mean, rectal V 40 Gy, small intestine D mean of adaptive plan was slightly higher than that of the manual plan; the rectal D mean, small intestine D 2 cm3 of the adaptive plan was slightly lower than that of manual plan; dosimetric parameters of right and left femoral heads, spinal cord and bone marrow of the adaptive plan were better than those of manual plan. The adaptive plan had more monitor units (MU) than the manual plan, but the complexity of the adaptive plan was significantly lower than that of the manual plan (0.135±0.012 vs. 0.151±0.015, P<0.001). For Mobius γ pass rate (5%/3 mm), both adaptive and manual plans met clinical requirements. Conclusion:Ethos cervical cancer online adaptive plan, which is based on the IOE engine, demonstrates good robustness and ensures the quality of online adaptive plans generated for each treatment fraction.

Objective:To evaluate the automatic optimization performance and clinical feasibility of the intelligent optimization engine (IOE) in the Ethos online adaptive radiotherapy platform.Methods:Clinical data of 11 patients with postoperative cervical cancer treated with Halcyon accelerator were retrospectively analyzed. Manual planning was performed for all patients using the 4 full arc volumetric modulated arc therapy (VMAT) (Manual-4Arc) in Eclipse, with a prescription dose of 45 Gy/25F. Patient images and structures were imported into the Ethos simulator, and appropriate clinical goals were added based on clinical requirements. The target coverage was normalized to 95%. Automatic plan generation was conducted using IOE, resulting in 7, 9, and 12 field intensity modulated radiotherapy (IMRT) plans (IMRT-7F、IMRT-9F、IMRT-12F), as well as 2 and 3 arc VMAT plans (VMAT-2Arc、VMAT-3Arc). Dosimetric index comparisons were made between the Manual-4Arc plans and the 5 groups of IOE-generated plans through one-way analysis of variance. Based on the analysis results, Turky post hoc multiple comparisons were performed to evaluate the automatic optimization performance of IOE.Results:In terms of the high dose area, the IMRT-12F plans showed the lowest D 1% for the planning target volume (PTV), and there were significant differences compared to the Manual-4Arc plans ( P=0.004). Regarding target coverage, all groups produced clinical target volume (CTV) plans that met the clinical requirements. Although the Ethos online adaptive plans were normalized during planning, the PTV coverage was slightly insufficient. For organs at risk (OAR) close to the target, such as the bladder, there were significant differences in V 30 Gy, V 40 Gy, and D mean among the 6 groups of plans. The dose ranking for the bladder was generally as follows: IMRT-12F

The implementation and implementation of DIP medical insurance payment system reform has a far-reaching impact on hospital operation and management mode,which resulted in an urgent need to adapt and optimise the way hospitals operate and manage their content.It analyzes in-depth DIP health insurance payment for the impact of hospital operations and management,from the perspective of the implementation of disease classification policy,medical insurance cost accounting control,medical service quality improvement,medical insurance after-the-fact analysis,disease category management,etc.In order to better promote the healthy and sustainable development of the hospital.

The implementation and implementation of DIP medical insurance payment system reform has a far-reaching impact on hospital operation and management mode,which resulted in an urgent need to adapt and optimise the way hospitals operate and manage their content.It analyzes in-depth DIP health insurance payment for the impact of hospital operations and management,from the perspective of the implementation of disease classification policy,medical insurance cost accounting control,medical service quality improvement,medical insurance after-the-fact analysis,disease category management,etc.In order to better promote the healthy and sustainable development of the hospital.

The implementation and implementation of DIP medical insurance payment system reform has a far-reaching impact on hospital operation and management mode,which resulted in an urgent need to adapt and optimise the way hospitals operate and manage their content.It analyzes in-depth DIP health insurance payment for the impact of hospital operations and management,from the perspective of the implementation of disease classification policy,medical insurance cost accounting control,medical service quality improvement,medical insurance after-the-fact analysis,disease category management,etc.In order to better promote the healthy and sustainable development of the hospital.

The implementation and implementation of DIP medical insurance payment system reform has a far-reaching impact on hospital operation and management mode,which resulted in an urgent need to adapt and optimise the way hospitals operate and manage their content.It analyzes in-depth DIP health insurance payment for the impact of hospital operations and management,from the perspective of the implementation of disease classification policy,medical insurance cost accounting control,medical service quality improvement,medical insurance after-the-fact analysis,disease category management,etc.In order to better promote the healthy and sustainable development of the hospital.

The implementation and implementation of DIP medical insurance payment system reform has a far-reaching impact on hospital operation and management mode,which resulted in an urgent need to adapt and optimise the way hospitals operate and manage their content.It analyzes in-depth DIP health insurance payment for the impact of hospital operations and management,from the perspective of the implementation of disease classification policy,medical insurance cost accounting control,medical service quality improvement,medical insurance after-the-fact analysis,disease category management,etc.In order to better promote the healthy and sustainable development of the hospital.

The implementation and implementation of DIP medical insurance payment system reform has a far-reaching impact on hospital operation and management mode,which resulted in an urgent need to adapt and optimise the way hospitals operate and manage their content.It analyzes in-depth DIP health insurance payment for the impact of hospital operations and management,from the perspective of the implementation of disease classification policy,medical insurance cost accounting control,medical service quality improvement,medical insurance after-the-fact analysis,disease category management,etc.In order to better promote the healthy and sustainable development of the hospital.

The implementation and implementation of DIP medical insurance payment system reform has a far-reaching impact on hospital operation and management mode,which resulted in an urgent need to adapt and optimise the way hospitals operate and manage their content.It analyzes in-depth DIP health insurance payment for the impact of hospital operations and management,from the perspective of the implementation of disease classification policy,medical insurance cost accounting control,medical service quality improvement,medical insurance after-the-fact analysis,disease category management,etc.In order to better promote the healthy and sustainable development of the hospital.