Objective: To explore the clinical dosimetry advantages of automated plan of IMRT for postoperative esophageal cancer and the dose prediction accuracy of the constructed 3D U-Res-Net model． Methods: A total of 110 postoperative esophageal cancer (middle and upper) cases treated by IMRT were considered in the study，of which 90 cases were randomly selected for training of deep learning prediction model．The deep learning prediction model and Auto-Plan module ( Philips pinnacle3 16. 2 ) were used to predict the three-dimension dose distribution and redesigned the remaining 20 cases respectively ，and the results obtained were compared with manual plan. Results : The average DSC value between the deep learning prediction plan and the manual plan was greater than 0. 92 in isodose surface，and the average Hausdorff distance HD95 of the isodose surface was 0. 58－0. 62 cm ; The V20 ，V30 ，Dmean of total lung were slightly lower than those of manual plan (P ＜0. 05 ) for the prediction model， meanwhile，the D2 ，D50 ，Dmean，HI of the target area and V30 of total lungs were better than those of manual plan(P ＜0. 05) for Auto-Plan ; Three-dimensional dose distribution of the three groups and the corresponding DVH curve showed that the three-dimensional dose distribution of the three groups had a little differences，and the DVH curves of the target area and organs at risk had a good agreement． Conclusion Auto-Plan can realize the design of automated plan for postoperative esophageal cancer，while the deep learning prediction model can realize the accurate prediction of the 3D dose distribution.

Objective: To explore the mechanism of advanced glycation end products (AGEs) on diabetic endothelial cell damage based on monocyte⁃macrophage exosomes (Exos)/microRNA⁃92a ( miR⁃92a) . Methods: Twenty apolipoprotein E ⁃deficient (ApoE - / - ) mice were randomly divided into two groups : injury group (n = 10) and injury + STZ group ( n = 10 ) . The injury + STZ group established a diabetes model induced by streptozotocin (STZ) . All animals underwent partial left carotid artery (PLCA) ligation. The carotid arteries were collected , the number of M1 macrophages was detected by immunohistochemistry , and the level of AGEs was analyzed by ELISA.Microvascular endothelial cell line bEnd. 3 cells were treated with conditioned medium (CM) of AGEs treated RAW264. 7 cells or Exos derived from RAW264. 7 , followed by evaluations of the cell barrier function and mitochondrial function. Results : There was an increased number of M1 macrophages in carotid atherosclerotic tissues of diabetic mice and in AGEs treated RAW264. 7 cells. CM or Exos significantly induced barrier dysfunction , reactive oxygen species (ROS) accumulation and mitochondrial dysfunction in vascular endothelial cells in vitro. In addition , bioinformatics analysis showed that miR⁃92a was up⁃regulated in Exos derived from macrophages stimulated by AGEs. Experimentally , Exos participated in CM⁃induced barrier dysfunction , ROS accumulation and mitochondrial dysfunction in bEnd. 3 cells by transferring miR⁃92a. Finally , a series of rescue experiments further confirmed that Exos regulated the barrier dysfunction and mitochondrial function in vascular endothelial cells through miR⁃92a. Conclusion The expression of AGEs and the number of M1 macrophages in diabetic ApoE - / - mice increase , and AGEs stimulates Exos from macrophages could impair the barrier function and mitochondrial function in vascular endothelial cells by delivering miR⁃92a in vitro.

Objective:To analyze applications of different level of exercise intensity in patients with esophageal cancer during concurrent chemoradiotherapy.Methods:By convenient sampling method, a total of 120 patients with esophageal cancer during concurrent chemoradiotherapy were adopted in Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Sciences from April 2019 to October 2020, they were assigned to control group, primary degree group, intermediate degree group and advanced degree group according to the random number table method, with 30 patients in each group. All patients were given routine concurrent chemoradiotherapy nursing care, based on this, the primary degree group average walk were 5 000 - 7 499 steps/d, intermediate degree group were 7 500 - 9 999 steps/d, advanced degree group were 10 000 - 12 499 steps/d, besides, the control group did not require the amount of walking. Before and three, six weeks after therapy, the intervention effect was assessed by Scored Patient-Generated Subjective Global Assessment (PG-SGA), BMI, serum total protein, albumin as well as the Revised Piper Fatigue Scale (PFS-R).Results:After six months of therapy, the scores of PG-SGA were (4.31 ± 1.47) and (4.15 ± 1.46) in the intermediate degree group and advanced degree group, lower than in the primary degree group and control group (5.46 ± 1.88) and (5.96 ± 1.91), the differences were statistically significant ( t values were 2.57-3.98, all P<0.05); the levels of serum total protein and albumin were (54.45 ± 10.58), (33.72 ± 7.19) and (55.19 ± 9.82), (34.00 ± 6.52) g/L in the intermediate degree group and advanced degree group, higher than in the primary degree group and control group (49.11 ± 7.71), (29.61 ± 6.21) and (48.04 ± 8.40), (30.04 ± 6.13) g/L, the differences were statistically significant ( t values were 2.19-2.88, all P<0.05). After three and six months of therapy, the scores of PFS-R were (3.41 ± 0.57), (4.62 ± 0.73) in the intermediate degree group, lower than in the primary degree group, advanced degree group and control group (4.25 ± 0.89), (5.43 ± 0.69), (4.19 ± 0.79), (6.11 ± 0.93) and (4.14 ± 0.59), (5.39 ± 0.79) ( t values were 4.01-8.63, all P<0.05). Conclusions:7 500 - 9 999 steps/d are optimal walking exercise intensity, it can effectively improve the nutritional status and reduce fatigue of patients with esophageal cancer during concurrent chemoradiotherapy.

Objective:To develop a dose prediction-based quantitative evaluation method of the quality of radiotherapy plans, and to verify the clinical feasibility and clinical value of the method .Methods:The 3D U-Netwas trained using the radiotherapy plans of 45 rectal cancer cases that were formulated by physicists with more than five years of radiotherapy experience. After obtaining 3D dose distribution using 3D U-Net prediction, this study established the plan quality metrics of intensity modulated radiotherapy(IMRT) rectal cancer radiotherapy plans using dose-volume histogram(DVH) indexes of dose prediction. Then, the initial scores of rectal cancer radiotherapy plans were determined.Taking the predicted dose as the optimization goal, the radiotherapy plans were optimized and scored again. The clinical significance of this scoring method was verified by comparing the scores and dosimetric parameters of the 15 rectal cancer cases before and after optimization.Results:The radiotherapy plans before and after optimization all met the clinical dose requirements. The total scores were(77.21±9.74) before optimization, and (88.78±4.92) after optimization. Therefore, the optimized radiotherapy planswon increased scores with a statistically significant difference( t=-4.105, P<0.05). Compared to the plans before optimization, the optimized plans show decreased Dmax of all organs at risk to different extents. Moreover, the Dmax, V107%, and HI of PTV and the Dmax of the bladder decreased in the optimized plans, with statistically significant differences ( t=2.346-5.771, P<0.05). There was no statistically significant difference in other indexes before and after optimization ( P>0.05).The quality of the optimized plans were improved to a certain extent. Conclusions:This study proposed a dose prediction-based quantitative evaluation method of the quality of radiotherapy plans. It can be used for the effective personalized elevation of the quality of radiotherapy plans, which is beneficial to effectively compare and review the quality of clinical plans determined by different physicists and provide personalized dose indicators. Moreover, it can provide great guidance for the formulation of clinical therapy plans.

Objective To analyze the clinical characteristics and survival prognosis of patients with AIDS-related malignant tumor. Methods We retrospectively analyzed the data of 354 patients with AIDS-related malignant tumor. Univariate analysis was conducted by Log rank test and multivariate analysis was conducted by Cox proportional risk regression model. Results The average age of the patients was 54.10±12.96 years old. The ratio of male to female patients was 2.1:1. The number of patients with AIDS complicated with lymphoma was the most, accounting for 28.25%. The 1-, 3- and 5-year survival rates were 78.48%, 62.13% and 55.31%, respectively. Univariate analysis showed that there were statistical differences in prognosis of patients with different types of malignant tumor, age, gender, medical insurance type, number of admissions after diagnosis of AIDS, average length of stay, radiotherapy or not, leaving hospital according to medical advice. Multivariate analysis showed that gender, number of admissions after diagnosis of AIDS, average length of stay, proportion of out-of-pocket and leaving hospital according to medical advice were independent risk factors affecting the survival and prognosis of patients. Conclusion AIDS is easily complicated with lymphoma, lung cancer and cervical cancer. The patients received insufficient anti-tumor courses in hospital.

Objective:To develope a self-adjustable automatic planning method of intensity modulated radiotherapy based on predicted dose, in order to enhance the robustness of automatic planning.Methods:After the patients′ dose by 3D U-Res-Net_B network was predicted, the current dose was calculated based on the last iteration result, then the predicted dose was combined to calculate the target dose and optimized. With all iterations completed or exit conditions satisfied, final treatment plannings would be acquired. A total of 30 cases of rectal cancer were tested to verify the effectiveness of the algorithm.Results:The mean value of planning target volumes′ V100% was (95.03±0.91)% for clinical plans, close to (94.67±1.96)% for automatical plans( P>0.05), and better than (92.90±2.13)% for predicted dose with the statisically significant difference ( t=29.0, P<0.05). Automatic planning′s indexes such as V35 of small intestines, V40 of bladders and V20 - V40 of femoral heads were lower than predicted and clinical ones, with the statisically significant difference( t=4.5-118.0, P<0.05). Discrepancy in other indexes of organs at risk was not statistically significantly different( P>0.05). Conclusions:This method made automatic planning processes more robust and more adaptive to difficult clinical situations.

Objective:To develop a deep learning model for predicting three-dimensional (3D) voxel-wise dose distributions for intensity-modulated radiotherapy (IMRT).Methods:A total of 110 postoperative rectal cancer cases treated by IMRT were considered in the study, of which 90 cases were randomly selected as the training-validating set and the remaining as the testing set. A 3D deep learning model named 3D U-Res-Net was constructed to predict 3D dose distributions. Three types of 3D matrices from CT images, structure sets and beam configurations were fed into the independent input channel, respectively, and the 3D matrix of IMRT dose distributions was taken as the output to train the 3D model. The obtained 3D model was used to predict new 3D dose distributions. The predicted accuracy was evaluated in two aspects: the average dose prediction bias and mean absolute errors (MAEs)of all voxels within the body, the dice similarity coefficients (DSCs), Hausdorff distance(HD 95) and mean surface distance (MSD) of different isodose surfaces were used to address the spatial correspondence between predicted and clinical delivered 3D dose distributions; the dosimetric index (DI) including homogeneity index, conformity index, V50, V45 for PTV and OARs between predicted and clinical truth were statistically analyzed with the paired-samples t test. Results:For the 20 testing cases, the average prediction bias ranged from -2.12% to 2.88%, and the MAEs varied from 2.55% to 5.75%. The DSCs value was above 0.9 for all isodose surfaces, the average MSD ranged from 0.21 cm to 0.45 cm, and the average HD 95 varied from 0.61 cm to 1.54 cm. There was no statistically significant difference for all DIs, except for bladder Dmean. Conclusions:This study developed a deep learning model based on 3D U-Res-Net by considering beam configurations input and achieved an accurate 3D voxel-wise dose prediction for rectal cancer treated by IMRT.

Objective To evaluate the feasibility of utilizing dose-volume histogram (DVH) prediction models of organs at risk (OARs) to deliver automatic treatment planning of prostate cancer.Methods The training set included 30 cases randomly selected from a database of 42 cases of prostate cancer receiving treatment planning.The bladder and rectum were divided into sub-volumes (Ai) of 3 mm in layer thickness according to the spatial distance from the boundary of planning target volume (PTV).A skewed normal Gaussian function was adopted to fit the differential DVH of Ai,and a precise mathematical model was built after optimization.Using the embedded C++ subroutine of Pinnacle scripa,ahe volume of each Ai of the remaining validation set for 12 patients was obtained to predict the DVH parameters of these OARa,ahich were used as the objective functions to create personalized Pinnacle script.Finalla,automatic plans were generated using the script.The dosimetric differences among the original clinical plannina,aredicted value and the automatic treatment planning were statistically compared with paired t-test.Results DVH residual analysis demonstrated that predictive volume fraction of the bladder and rectum above 6 000 cGy were lower than those of the original clinical planning.The automatic treatment planning significantly reduced the V70,V60,V50 of the bladder and the V70 and V60 of the rectum than the original clinical planning (all P＜0.05),the coverage and conformal index (CI) of PTV remained unchangea,and the homogeneity index (HI) was slightly decreased with no statistical significance (P＞ 0.05).Conclusion The automatic treatment planning of the prostate cancer based on the DVH prediction models can reduce the irradiation dose of OARs and improve the treatment planning efficiency.

Objective: To investigate clinical characteristics of urodynamics in elderly male patients with indwelling urinary catheterization. Methods: Clinical urodynamics of 497 male patients with indwelling urinary catheterization aged 60 years and over from December 2010 to April 2019 in our center were retrospectively analyzed and divided into 3 groups: 60-69-year-old group(n=114), 70-79-year-old group(n=220), and 80-111-year-old group(n=163). According to the catheter indwelling time, the patients were divided into 3 groups: 1-2 weeks group(n=262), 2-4 weeks group(n=47)and over 4 weeks group(n=188). The cause of indwelling urinary catheterization, bladder outlet obstruction, acontractile detrusor and other indicators were observed. Results: The main cause of indwelling urinary catheterization in elderly men was acute urinary retention(55.1%, 274 cases), in that the most common diagnosis was benign prostatic hyperplasia(90.3%, 449 cases). No statistically significant difference in the different catheter indwelling time-related urodynamics between the different age groups was found(χ²=1.606, 0.199 and 2.477, all P>0.05). There were statistically significant differences both in the incidences of bladder outlet obstruction between the 1-2 weeks vs.2-4 weeks vs.over 4 weeks groups[56.9%(149/262)vs.55.3%(26/47) vs.42.6%(80/188), χ²=9.315, P<0.05)], and in the incidences of acontractile detrusor between the 1-2 weeks vs.2-4 weeks vs.over 4 weeks groups[15.6%(41/262)vs.12.8%(6/47)vs.29.8%(56/188), χ²=15.319, all P<0.05)]. There was no statistically significant difference in catheter indwelling time-related urodynamics between two groups with normal detrusor muscle function and weak detrusor muscle function(P>0.05). Clinical urodynamics had no statistically significant in different age groups(P>0.05). Conclusions Bladder outlet obstruction is the main cause of indwelling urinary catheterization in elderly men.Urodynamic examination can be performed 1-2 weeks after indwelling urinary catheterization.Age has no significant effect on the catheter indwelling time-related urodynamics.The duration of indwelling urinary catheterization has little effect on the urodynamic diagnosis in patients with normal or weak detrusor muscle contractile strength.The elderly patients may have acontractile detrusor if the duration of indwelling urinary catheterization is more than 4 weeks.

Objective To investigate the safety and efficacy of endoscopic submucosal dissection ( ESD) for early stage colorectal cancer and precancerous lesions. Methods Clinical data of 108 patients who received ESD for early stage colorectal cancer and precancerous lesions from December 2016 to June 2017 in Renmin Hospital of Wuhan University were analyzed. The lesion characteristics, postoperative pathological features, intraoperative and postoperative complications and postoperative follow-up outcomes were analyzed. Results The 108 patients all underwent ESD successfully with median operation time of 45 min. The rate of intraoperative perforation and postoperative delayed bleeding was 2. 8％ ( 3/108) and 2. 8％ (3/108), respectively. No postoperative delayed perforation occurred. Postoperative pathology showed that there were 41 cases ( 38. 0％) of tubular adenoma, 4 ( 3. 7％) villous adenoma, 39 ( 36. 1％) villous tubular adenoma [ including 41 ( 38. 0％) low-grade intraepithelial neoplasia and 16 ( 14. 8％) high-grade intraepithelial neoplasia] , 19 ( 17. 6％) adenocarcinoma, and 5 ( 4. 6％) other types. Among the 19 cases of adenocarcinoma, there were 11 cases of well-differentiated, 5 median-differentiated and 3 low-differentiated. The complete resection rate was 100. 0％ and the en bloc resection rate was 92. 3％ ( 100/108) . The mean follow-up time was 8. 1 months, and no recurrence was found during this period. Conclusion ESD is safe and effective in the treatment of early stage colorectal lesions. It is important to improve preoperative assessment, strengthen surgical skills, analyze postoperative pathological features and regularly follow up to guarantee the treatment quality of ESD.