Objective:To explore the feasibility of constructing automatic intensity-modulated radiotherapy (IMRT) plans for cervical cancer based on Pinnacle scripts and to assess the advantages of this method in designing treatment plans for cervical cancer.Methods:A retrospective analysis was conducted for 40 cases of cervical cancer treated with IMRT in the department of radiation oncology of the First Affiliated Hospital of Bengbu Medical University. Among them, the data of 25 cases were employed as a reference for the initialization of objective functions. The scripts for automatic plans were designed in the Pinnacle planning system. For the remaining 15 cases, automatic and manual IMRT plans were designed (also referred to as the automatic planning group and the manual planning group, respectively). The design times of both groups were compared. Furthermore, both the dosimetric parameters of target volumes and the irradiation doses to organs at risk (OARs) were also compared between the two groups using dose-volume histograms.Results:Compared to the manual planning group, the automatic planning group exhibited a statistically significant decrease in the average design time of 32.81 min ( t = -12.91, P < 0.05), a statistically significant increase in the conformity index of the target areas of 0.01 ( t = -0.08, P < 0.05), and a decrease in the uniformity index of the target areas of 0.02. Compared to those of the manual planning group, the bladder′s V40 and V45 and the rectum′s V40 and V45 of the automatic planning group decreased by 6.88%, 4.12%, 9.93%, and 12% on average, respectively ( t = -4.49, -4.46, -3.62, -5.80, P < 0.05). Minimal differences were observed in the V30, V50, and Dmax of the small intestine between both groups, without statistically significant differences in V30 and Dmax ( P > 0.05). Compared to the manual planning group, the automatic planning group displayed decreases in the V45 and Dmeanof the bilateral femoral head of 7.9% and 106.83 cGy, respectively and a decrease in the spinal Dmax of 100.14 cGy, with statistically significant differences ( t = -6.00, -2.52, -2.55, P < 0.05). Conclusions:Automatic IMRT plans for cervical cancer, constructed based on Pinnacle scripts, can significantly reduce irradiation doses to OARs and enhance the efficiency of the plan design while ensuring dose uniformity and conformality of target areas.

Objective: To analyze the correlations between intraoperative ultrasound and MRI metrics of the spinal cord in degenerative cervical myelopathy and identify novel potential predictive ultrasonic indicators of neurological recovery for degenerative cervical myelopathy. Materials and Methods: Twenty-two patients who underwent French-door laminoplasty for multilevel degenerative cervical myelopathy were followed up for 12 months. The Japanese Orthopedic Association (JOA) scores were assessed preoperatively and 12 months postoperatively. Maximum spinal cord compression and compression rates were measured and calculated using both intraoperative ultrasound imaging and preoperative T2-weight (T2W) MRI. Signal change rates of the spinal cord on preoperative T2W MRI and gray value ratios of dorsal and ventral spinal cord hyperechogenicity on intraoperative ultrasound imaging were measured and calculated. Correlations between intraoperative ultrasound metrics, MRI metrics, and the recovery rate JOA scores were analyzed using Spearman correlation analysis. Results: The postoperative JOA scores improved significantly, with a mean recovery rate of 65.0 ± 20.3% (p < 0.001). No significant correlations were found between the operative ultrasound metrics and MRI metrics. The gray value ratios of the spinal cord hyperechogenicity was negatively correlated with the recovery rate of JOA scores (ρ = -0.638, p = 0.001), while the ventral and dorsal gray value ratios of spinal cord hyperechogenicity were negatively correlated with the recovery rate of JOA-motor scores (ρ = -0.582, p = 0.004) and JOA-sensory scores (ρ = -0.452, p = 0.035), respectively. The dorsal gray value ratio was significantly higher than the ventral gray value ratio (p < 0.001), while the recovery rate of JOA-motor scores was better than that of JOA-sensory scores at 12 months post-surgery (p = 0.028). Conclusion For degenerative cervical myelopathy, the correlations between intraoperative ultrasound and preoperative T2W MRI metrics were not significant. Gray value ratios of the spinal cord hyperechogenicity and dorsal and ventral spinal cord hyperechogenicity were significantly correlated with neurological recovery at 12 months postoperatively.

Objective: To analyze the correlations between intraoperative ultrasound and MRI metrics of the spinal cord in degenerative cervical myelopathy and identify novel potential predictive ultrasonic indicators of neurological recovery for degenerative cervical myelopathy. Materials and Methods: Twenty-two patients who underwent French-door laminoplasty for multilevel degenerative cervical myelopathy were followed up for 12 months. The Japanese Orthopedic Association (JOA) scores were assessed preoperatively and 12 months postoperatively. Maximum spinal cord compression and compression rates were measured and calculated using both intraoperative ultrasound imaging and preoperative T2-weight (T2W) MRI. Signal change rates of the spinal cord on preoperative T2W MRI and gray value ratios of dorsal and ventral spinal cord hyperechogenicity on intraoperative ultrasound imaging were measured and calculated. Correlations between intraoperative ultrasound metrics, MRI metrics, and the recovery rate JOA scores were analyzed using Spearman correlation analysis. Results: The postoperative JOA scores improved significantly, with a mean recovery rate of 65.0 ± 20.3% (p < 0.001). No significant correlations were found between the operative ultrasound metrics and MRI metrics. The gray value ratios of the spinal cord hyperechogenicity was negatively correlated with the recovery rate of JOA scores (ρ = -0.638, p = 0.001), while the ventral and dorsal gray value ratios of spinal cord hyperechogenicity were negatively correlated with the recovery rate of JOA-motor scores (ρ = -0.582, p = 0.004) and JOA-sensory scores (ρ = -0.452, p = 0.035), respectively. The dorsal gray value ratio was significantly higher than the ventral gray value ratio (p < 0.001), while the recovery rate of JOA-motor scores was better than that of JOA-sensory scores at 12 months post-surgery (p = 0.028). Conclusion For degenerative cervical myelopathy, the correlations between intraoperative ultrasound and preoperative T2W MRI metrics were not significant. Gray value ratios of the spinal cord hyperechogenicity and dorsal and ventral spinal cord hyperechogenicity were significantly correlated with neurological recovery at 12 months postoperatively.

High uric acid models are divided into animal models and cell models. Model construction is very important for hyperuricemia researching and drug screening. High uric acid animal model is mature, but there is a large gap between animals and humans, and animal models still have shortcomings. The cell model research cycle is short and the operation is simple. Meanwhile it is a model closer to human hyperuricemia, but it is rarely reported. This article briefly lists the cells commonly used in the construction of high uric acid models, outlines the construction methods of high uric acid cell models according to the two modeling principles of increasing uric acid synthesis and reducing uric acid excretion, and provides references for the development of hyperuricemia related research.

Objective:To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection margin (CRM) of rectal cancer in the magnetic resonance imaging (MRI).Methods:This study was registered in the Chinese Clinical Trial Registry (ChiCTR-1800017410). Case inclusion criteria: (1) the positive area of CRM was located between the plane of the levator ani, anal canal and peritoneal reflection; (2) rectal malignancy was confirmed by electronic colonoscopy and histopathological examination; (3) positive CRM was confirmed by postoperative pathology or preoperative high-resolution MRI. Exclusion criteria: patients after neoadjuvant therapy, recurrent cancer after surgery, poor quality images, giant tumor with extensive necrosis and tissue degeneration, and rectal tissue construction changes in previous pelvic surgery. According to the above criteria, MRI plain scan images of 350 patients with rectal cancer and positive CRM in The Affiliated Hospital of Qingdao University from July 2016 to June 2019 were collected. The patients were classified by gender and tumor position, and randomly assigned to the training group (300 cases) and the validation group (50 cases) at a ratio of 6:1 by computer random number method. The CRM positive region was identified on the T2WI image using the LabelImg software. The identified training group images were used to iteratively train and optimize parameters of the Faster R-CNN model until the network converged to obtain the best deep learning model. The test set data were used to evaluate the recognition performance of the artificial intelligence platform. The selected indicators included accuracy, sensitivity, positive predictive value, receiver operating characteristic (ROC) curves, areas under the ROC curves (AUC), and the time taken to identify a single image.Results:The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the CRM status determined by the trained Faster R-CNN artificial intelligence approach were 0.884, 0.857, 0.898, 0.807, and 0.926, respectively; the AUC was 0.934 (95% CI: 91.3% to 95.4%). The Faster R-CNN model's automatic recognition time for a single image was 0.2 s.Conclusion:The artificial intelligence model based on Faster R-CNN for the identification and segmentation of CRM-positive MRI images of rectal cancer is established, which can complete the risk assessment of CRM-positive areas caused by in-situ tumor invasion and has the application value of preliminary screening.

Objective:To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection margin (CRM) of rectal cancer in the magnetic resonance imaging (MRI).Methods:This study was registered in the Chinese Clinical Trial Registry (ChiCTR-1800017410). Case inclusion criteria: (1) the positive area of CRM was located between the plane of the levator ani, anal canal and peritoneal reflection; (2) rectal malignancy was confirmed by electronic colonoscopy and histopathological examination; (3) positive CRM was confirmed by postoperative pathology or preoperative high-resolution MRI. Exclusion criteria: patients after neoadjuvant therapy, recurrent cancer after surgery, poor quality images, giant tumor with extensive necrosis and tissue degeneration, and rectal tissue construction changes in previous pelvic surgery. According to the above criteria, MRI plain scan images of 350 patients with rectal cancer and positive CRM in The Affiliated Hospital of Qingdao University from July 2016 to June 2019 were collected. The patients were classified by gender and tumor position, and randomly assigned to the training group (300 cases) and the validation group (50 cases) at a ratio of 6:1 by computer random number method. The CRM positive region was identified on the T2WI image using the LabelImg software. The identified training group images were used to iteratively train and optimize parameters of the Faster R-CNN model until the network converged to obtain the best deep learning model. The test set data were used to evaluate the recognition performance of the artificial intelligence platform. The selected indicators included accuracy, sensitivity, positive predictive value, receiver operating characteristic (ROC) curves, areas under the ROC curves (AUC), and the time taken to identify a single image.Results:The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the CRM status determined by the trained Faster R-CNN artificial intelligence approach were 0.884, 0.857, 0.898, 0.807, and 0.926, respectively; the AUC was 0.934 (95% CI: 91.3% to 95.4%). The Faster R-CNN model's automatic recognition time for a single image was 0.2 s.Conclusion:The artificial intelligence model based on Faster R-CNN for the identification and segmentation of CRM-positive MRI images of rectal cancer is established, which can complete the risk assessment of CRM-positive areas caused by in-situ tumor invasion and has the application value of preliminary screening.

Objective To compare the value of ultrasound-guided fine-needle aspiration (FNA) and core needle biopsy (CNB) in diagnosing benign and malignant cervical lymph nodes.Methods A retrospective analysis was performed on 88 patients who received biopsy for cervical lymph node enlargement from January 2015 to May 2017.FNA (n =39) or CNB (n =49) were performed respectively to compare the sensitivity,specificity and accuracy of the two methods in diagnosing benign and malignant cervical lymph node enlargement.Results 84.6％ (33/39) of FNA cases were successfully collected,and 98％ (48/49) of FNA cases were successfully collected for definite pathological diagnosis (P =0.000).The sensitivity,specificity and accuracy of FNA and CNB in diagnosing malignant cervical lymph nodes were 90.9％ and 97.2％,94.1％ and 100％,92.3％ and 98％,respectively.Compared with FNA,there were statistically significant differences in sensitivity,specificity and accuracy in differentiating benign and malignant lymphatic lesions in cervical enlargement (P ＜0.01).The sensitivity and specificity of FNA and CNB in diagnosing cervical lymph node metastatic carcinoma were 100％ and 100％,95.2％ and 100％.Compared with FNA,there was no statistically significant difference in the sensitivity to the diagnosis of cervical lymph node metastatic carcinoma (P =0.102).Conclusions CNB is superior to FNA in sensitivity,specificity and accuracy in diagnosing cervical lymphadenopathy.However,when metastatic cancer was diagnosed,FNA was not significantly different from CNB in sensitivity (P =0.102),and FNA was recommended as the first choice.

Objective To investigate the characteristics of human adenovirus ( HAdv) epidemic strains and the variations of hexon protein and amino acid residues in acute respiratory infections in Anqing. Methods A total of 596 throat swab samples of children with acute respiratory infections were collected from influenza surveillance sites between 2013 and 2015 and detected with real-time fluorescent PCR adeno-virus nucleic acid test kit. Hep cells were used to separate viruses from positive samples. PCR amplification of hexon gene and sequencing analysis were conducted. Homologous alignment and phylogenetic tree analysis were performed between the obtained sequences and those published in GenBank. Results HAdv-positive samples accounted for 11. 4% (68). Thirty-four viruses were successfully isolated, including nine HAdv-3 (26. 5% ), 12 HAdv-7 (35. 3% ), 12 HAdv-14 (35. 3% ) and one HAdv-55 (2. 9% ). The 9 strains of HAdv-3 had a close genetic relationship with KX384958, sharing a homology of 99. 8%-100% . Three muta-tions in main amino acid residues were found in them as compared with reference strains. The 12 strains of HAdv-7 were genetically related to KX897164 and KU361344 with a homology ranging from 99. 8% to 100% and had seven major amino acid residue mutations in comparison to reference strains. The 12 strains of HAdv-14 were highly similar to JF420883 with a homology of 99. 6%-99. 9% , and possessed three major variations in amino acid residues in comparison to reference strains. The HAdv-55 strain was closely related to KP279748 and KX289874, showing a homology of 100% in both nucleotide and amino acid sequences. HAdv-7 strains had the greatest variations, followed by HAdv-14 strains. Conclusion From 2013 to 2015, the epidemic adenovirus strains causing acute respiratory infections in Anqing area were mainly HAdv-3, HAdv-7 and HAdv-14 with a small number of HAdv-55. The hexon genes of HAdv-55 strains were stable and no variation occurred. However, HAdv-3, HAdv-7 and HAdv-14 strains all had some variations in nu-cleotides and amino acids. Amino acid variations in the antigenic determinants of HVR1, HVR2 and HVR7 regions were detected.

Objective To establish spastic cerebral palsy model of macaque by partial resection of motor cortex and explore its evaluation method.Methods Four individuals of 3-month-old macaques were divided into healthy control group and operation model group according to random number table.Partial resection of the motor cortex was carried out in operation model group,in which precentral gyrus cortex from above the right lateral cerebral fissure to the inter-hemicerebral fissure,together with the posterior-superior frontal gyrus (about 0.3 to 0.5 cm in front of the anterior median sulcus) cortex were removed with the depth of about 0.5 to 0.6 cm.After the operation,the continuous camera shooting was used to record whether left limb motor dysfunction and abnormal posture existed or not.Muscle tension was assessed by manual examination of muscle tone with reference to the modified Ashworth scale.The quantitative indexes of the two groups were detected by using the gross motor and fine motor assessment scale.9.4T magnetic resonance imaging (MRI) was used to detect the brain imaging changes.Results After operation,the macaque in the operation model group immediately showed left hemiparesis,left upper limb abnormal lifting,left lower limb paralysis,left limb claudication,and eating mainly relied on the right side of the body.After 6 weeks of operation,left limb activity of the operation model group was significantly lower than that of the healthy control group,and the gross motor scores and fine motor scores were significantly lower than those of the healthy control group(Friedman test:χ2=33.939,P<0.05;χ2=37.526,P<0.05).The macaque in the operation model group showed some symptoms that abnormal posture mainly tilted to the left for the rest,sitting in a corner of the monkey cage,left arm was put on the cage to maintain postural balance,and movement was left slightly inclined,which had simulated the typical clinical manifestations of human spastic hemiplegic cerebral palsy.Muscle tension was checked by hand,and the left limb paralysis and muscle tension decreased after operation in the model group,and the left muscle tension increased gradually after 5 weeks,and gradually increased to score 4 points and the score remained 3 after 10 weeks.Brain MRI of 3 weeks postoperatively suggested scar tissue formation after right motor cortex resection,which supported the pathological changes of the hemiplegic cerebral palsy models.Conclusions Through the partial resection of the motor cortex,the model of spastic cerebral palsy was established successfully.The results of behavioral evaluation and MRI showed that the model was consis-tent with spastic hemiplegia.

BACKGROUND:Previous studies have found that electroacupuncture can delay articular cartilage degeneration mediated by JAK-STAT signaling pathway through upregulating the expression level of transforming growth factor β1 as well as mRNA expression levels of STAT3, Smad3 and LepR. In the meanwhile, electroacupuncture can inhibit the mRNA expression of p38 and Fas mRNA mediated by MAPK signaling pathways, further inhibiting the apoptosis of chondrocytes. OBJECTIVE: To explore the effect of electroacupuncture on the degeneration of articular cartilage in rats with knee osteoarthritis based on Ras-Raf-MEK1/2-ERK1/2 signaling pathway. METHODS:120 male healthy Sprague-Dawley rats aged 2 months olds were selected and randomly divided into normal, model, 15-minite electroacupuncture and 30-minute electroacupuncture groups (n=30 per group). The rats in the latter three groups received the intra-articular injection of 4% papain bilaterally, and the remaining rats received no intervention. At 2 weeks after modeling, the latter two groups were respectively given 15- and 30-minute electroacupuncture, five times weekly for consecutive 12 weeks. The morphology of the cartilage was observed by hematoxylin-eosin staining, the expression level of interleukin-1β in the synovium was detected by ELISA assay, and the protein expression levels of Ras, Raf, MEK1/2, ERK1/2, C-MYC, C-FOS, and C-JUN were detected by western blot analysis. RESULTS AND CONCLUSION: Hematoxylin-eosin staining showed that: in the model group, the cartilage surface was rough, the cartilage layer became thinner, and the cartilage structure was damaged with incomplete tidal line; in the 15- and 30-minute electroacupuncture groups, the cartilage structure was complete with clear layers and complete tidal line. ELISA showed that the expression level of interleukin-1β in the model group was significantly higher than that in the normal group (P< 0.01), and the level in the 15- and 30-minute electroacupuncture groups was significantly lower than that in the model group (P < 0.05). Western blot assay found that compared with the normal group, the protein expression levels of Ras, Raf, MEK1/2, ERK1/2, C-MYC, C-FOS, and C-JUN were increased in the model group. However, all above protein levels except ERK1/2 in the 15- and 30-minute electroacupuncture groups were significantly lower than those in the model group (P < 0.01,P < 0.05). To conclude, electroacupuncture inhibits the degeneration of articular cartilage in osteoarthritisvia Ras-Raf-MEK1/2-ERK1/2 signaling pathway and downregulating the expression level of interleukin-1β.