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

Hearing loss is one of the common radiotherapy-induced complications of head and neck tumors, including nasopharyngeal carcinoma. These side reactions can be classified into acute or delayed types, which affect all structures of the auditory organs, resulting in conductive, sensorineural or mixed hearing loss. Up to 40% of patients develop acute middle ear side effects during radical radiotherapy, while approximately 1/3 develop late sensorineural hearing loss. The total radiation dose and tumor site appear to be the most important factors associated with the risk of hearing loss. The mechanisms of conductive and sensorineural hearing impairment are different. New radiotherapy techniques (three-dimensional conformal radiotherapy, intensity modulated radiotherapy, proton therapy) enable better dose distribution, lower dose to non-target organs, and gradually increase the feasibility of protecting normal tissues. The present article illustrates recent progress in radiotherapy-induced hearing loss, specially focusing on the occurrence, the mechanisms and related factors of ear toxicity, detection and diagnosis, and treatment.

Objective:To propose an automatic planning approach for Eclipse15.6 planning system based on Eclipse scripting application programming interface (ESAPI) and evaluate its clinical application.Methods:20 patients with nasopharyngeal carcinoma and 20 cases of rectal cancer were selected in the clinical planning. The developed automatic planning script SmartPlan and RapidPlan were used for automatic planning and dosimetric parameters were compared with manual planning. The differences were compared between two groups by using Wilcoxon signed rank test. Results:The dosimetric results of automatic and manual plans could meet clinical requirements. There was no significant difference in target coverage in nasopharyngeal carcinoma planning between two groups ( P>0.05), and automatic plans were superior to manual plans in organs at risk sparing ( P<0.05). Except for the homogeneity index of PTV and the maximum dose of bowel in rectal cancer plans, the other dosimetric parameters of the automatic plans were better than those of the manual plans (all P<0.05). Conclusions:Compared with the manual plans, the automatic plans have the same or similar target coverage, similar or better protection of organs at risk, and more convenient implementation. The developed SmartPlan based on ESAPI has clinical feasibility and effectiveness.

Objective:To compare the dosimetric parameters and plan complexity between newly-delicated HyperArc (HA) and conventional volumetric-modulated arc therapy (VMAT) in the treatment of brain metastases.Methods:For 26 patients with brain metastases, HA, conventional coplanar (Cop) and non-coplanar (Non-cop) VMAT plans with a prescription dose of 9 Gy 3fx or 6 Gy 5fx were generated. The dosimetric parameters for planning target volume (PTV), RTOG conformity index (RTOG CI), Paddick CI, homogeneity index (HI), gradient index (GI), maximum dose (D max) of brainstem and dose-volume parameters of brain-PTV(V 2Gy-V 26Gy) were statisticaly compared among these three approaches. In addition, the monitor unit (MU) and the plan complexity parameters (including MCSv and AlPO) were statistically compared. Results:To prevent missed targets during treatment, all plans were established with RTOG CI of greater than 1.1. For Paddick CI, HA provided significantly higher conformity (0.89±0.019) than Non-cop (0.87±0.036, P=0.001) and Cop (0.88±0.017, P=0.003) VMAT. For GI, the fastest dose fall-off was noted in HA (3.35±0.64), followed by conventional Non-cop VMAT of (3.70±0.80), and conventional Cop VMAT of (4.90±1.85)(all P<0.05). For the brainstem sparing, HA plan performed better than Non-cop plan[(604.14±531.61) cGy vs.(682.75±558.22) cGy, P<0.05)]. For normal brain tissue sparing, HA approach showed significant reduction than conventional Cop and Non-cop VMAT (both P<0.05). For MU, HA approach (2 872.60 ± 566.93) was significantly lower than those of Non-cop VMAT (3 771.28 ± 1 022.38, P<0.05) and Cop VMAT (4 494.08 ± 1 323.09, P<0.05). In terms of plan complexity, the MCSv of Cop plan was the lowest, indicating that the complexity was the highest ( P<0.05). The AlPO of HA was significantly higher than that of Non-cop VMAT ( P<0.05), suggesting that the complexity of HA plan was lower ( P<0.05). Conclusion:For the treatment of brain metastases, HA provides better conformity, more rapid dose fall-off, better sparing of brainstem and normal brain tissues and less plan complexity compared with conventional VMAT.

Objective:To help clinicians simplify the post-processing operations of structures by developing rapid processing software for target area and organs at risk structures based on ESAPI.Methods:SmartStructure script software was developed based on ESAPI, verified and evaluated in clinical work. 10 cases of rectal cancer receiving neoadjuvant radiotherapy, 10 breast cancer treated with postoperative radiotherapy, 10 cervical cancer receiving postoperative radiotherapy, 10 nasopharyngeal carcinoma receiving radical radiotherapy and 10 lung stereotactic body radiotherapy (SBRT) were selected, and different types of tumors had different post-processing operations of structures. In each case, three methods were used for post-processing of structures. In the control group (manual group), normal manual processing was employed. In the experimental group 1(SmaStru-N group), scripts without templates were utilized. In the experimental group 2(SmaStru-P group). scripts combined with templates were adopted. The processing time of the three methods was compared. Clinicians scored the scripting software from multiple aspects and compared the feeling scores of scripting software and manual operation.Results:All three methods can be normally applied in clinical settings. The error rate in the manual group was 7.0%, 3.0% in the SmaStru-N group 0% in the SmaStru-P group, respectively. Compared with the manual method, SmaStru-N shortened the processing time of target area and organs at risk by 60.9% and 93.3% for SmaStru-P. In addition, SmartStructure was superior to manual method in terms of using feeling scores. Clinicians gave lower score for the" applicability" and" simplicity" , and higher score on the" accuracy" and" efficiency" .Conclusions:Compared with conventional manual structure processing method, SmartStructure software can rapidly and accurately process all structures of the target area and organs at risk, and its advantages become more obvious with the increasing number of structures that need to be processed. SmartStructure software can meet clinical requirements, reduce the error rate, elevate processing speed, improve the working efficiency of clinicians, providing basis for the development of adaptive radiotherapy.

The segmentation of organs at risk is an important part of radiotherapy. The current method of manual segmentation depends on the knowledge and experience of physicians, which is very time-consuming and difficult to ensure the accuracy, consistency and repeatability. Therefore, a deep convolutional neural network (DCNN) is proposed for the automatic and accurate segmentation of head and neck organs at risk. The data of 496 patients with nasopharyngeal carcinoma were reviewed. Among them, 376 cases were randomly selected for training set, 60 cases for validation set and 60 cases for test set. Using the three-dimensional (3D) U-NET DCNN, combined with two loss functions of Dice Loss and Generalized Dice Loss, the automatic segmentation neural network model for the head and neck organs at risk was trained. The evaluation parameters are Dice similarity coefficient and Jaccard distance. The average Dice Similarity coefficient of the 19 organs at risk was 0.91, and the Jaccard distance was 0.15. The results demonstrate that 3D U-NET DCNN combined with Dice Loss function can be better applied to automatic segmentation of head and neck organs at risk.

Objective:To explore the action path and the potential mediating effects of depression and physical diseases on the influencing factors of mild cognitive impairment(MCI) in community, and provide the theoretical basis for the construction of the strategy of cognitive regulation.Methods:A convenient sample survey was conducted on 252 mild cognitive impairment patients in the community undergoing screening using the general information questionnaire, Montreal cognitive assessment scale(MoCA) and geriatric depression scale(GDS-15)from January 2018 to June 2019. SPSS 22.0 and AMOS 22.0 softwares were used to conduct descriptive analysis, correlation analysis, structural equation model and confirmatory factor analysis.Results:The score of MoCA was 19.66±3.90 for all MCI patients. There were significant correlations among age, education, social frequency, physical exercise frequency and depression degree, the number of physical disease and MoCA( r=-0.440-0.487, P<0.01). The structural equation model fits well(χ 2/ df=2.476, TLI=0.885, CFI=0.916, GFI=0.919, AGFI=0.871, RMSEA=0.077). Mediation modeling analysis showed that age, education, social frequency physical exereise frequency had a direct effect on cognitive function(effect value was -0.183, 0.458, 0.237, 0.174, P<0.01). There were partly mediating effect of the number of physical disease between age, education, physical exercise frequency and cognitive function(effect value was -0.106, 0.078, 0.075, P<0.01), and there were partly mediating effect of depression degree between age, social frequency, physical exercise frequency and cognitive function(effect value was -0.075, 0.080, 0.050, P<0.01), and there were chain mediating effect of the number of physical disease-depression degree between age, education, physical exercise(effect value was -0.028, 0.031, 0.019, P<0.01). Conclusion:The cognitive management of MCI among community should focus on the elderly, low education level groups.In the implementation of exercise intervention to improve cognitive function of health management strategy, while to strengthen the effective management of physical diseases and negative emotion evaluation and dredging, to increase the effect of exercise intervention on cognitive function improvement.

Objective:To evaluate the direct and sustained effects of multitask-process cognitive training program on cognitive function in the community elderly with mild cognitive impairment(MCI).Methods:Ninety-two participants with MCI who met the inclusion criteria were randomly selected from Huzhou community of Zhejiang province.According to the allocation ratio of 1∶1, the MCI participants were randomly divided into the cognitive training group and the control group, with 46 cases in each group.The participants in control group were received a cognitive function-health education program, and the participants in cognitive training group received an additional 10 weeks of multitask-process cognitive training.Respectively in three-time points of at baseline, after 10 weeks of training, and a 3-month follow-up to evaluate all participants with MCI executive function tested by trail making test A-B and Stroop color-word test, overall cognitive function tested by MoCA scale.Repeated measure ANOVA was used to compare the between-group variation, time effect and interaction effect of two groups at 3 time points.Results:The MoCA score of intervention group at T0, T1, T2 were 19.09±1.98, 21.09±1.41, 21.11±1.27 respectively, and the MoCA score of the control group were 18.24±2.22, 18.57±1.86, 18.07±1.90 respectively.Compared with the control group, the score of MoCA in the intervention group was significantly improved at T1 and T2 ( P< 0.05). Compared with control group, the Trail making test A-B, Stroop color-word interference test of intervention group were improved at T1, T2 ( P<0.05). Repeated measurement ANOVA shows that there were significant differences in Trail making test A-B, Stroop color-word interference test and MoCA between the two groups in terms of between-group effect, time effect and group-time interaction effect ( F=9.245~196.457, P<0.05). Simple effects analysis shows that compared with the control group, the multitask-process cognitive training had a positive direct effect on the Trail making test A-B, Stroop color-word interference test and MoCA, and these improvements maintained until the end of a 3-month follow-up ( F=2.757~201.829, P<0.05). During the research period, the compliance rate of the cognitive training group was 87.4%, and no adverse events occurred. Conclusion:The multitask-process cognitive training program positively promote the cognitive function of participants with MCI and provide a set of standardized and procedural nursing intervention program for the cognitive management of community participants with MCI.

Radiation-induced dermatitis (RD) is one of the most common complications induced by radiotherapy in cancer patients.The incidence and severity of RD are largely associated with the risk factors of patients.RD can severely affect the quality of life,even discontinue the treatment and reduce the tumor control rate in severe patients.Currently,randomized control trials evaluating the preventive measures for acute RD have been rarely conducted.The clinical interventions for acute RD significantly vary.In this article,the pathogenesis,risk factors,clinical manifestations,evaluation,prevention and treatment of RD were investigated.