Objective To observe the clinical efficacy of moxibustion plus Cang Gui Tan Xue (dark turtle seeking hole) needling method in treating cervical spondylosis of nerve root type. Method Sixty patients with cervical spondylosis of nerve root type were randomized into a treatment group and a control group, 30 in each group. The treatment group was intervened by moxibustion plus Cang Gui Tan Xue needling method, and the control group was by simple needling method. The symptom and sign score was observed before and after 2-course treatment, and the clinical efficacy was compared. Result The total effective rate was 90.0%in the treatment group versus 83.3%in the control group, and the difference was statistically significant (P<0.05). After intervention, the symptom and sign scores were significantly changed in both groups (P<0.05). There was a significant difference in comparing the symptom and sign score between the two groups after intervention (P<0.05). Conclusion Moxibustion plus Cang Gui Tan Xue needling method is effective in treating cervical spondylosis of nerve root type.

We studied the effect of photodynamic therapy with phycobiliproteins on human liver cancer cells in vitro. With 3-(4, 5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay (MTT assay), we used two phycobiliproteins, R-phycoerythrin (R-PE) and C-phycocyanin (C-PC) prepared from Porphyra yezoensis, to determine the killing rates and apoptosis rates of human liver cancer cells (SMMC-7721) mediated by laser. When the concentration of R-PE was 120 mg/L, the survival rate of human liver cancer cells was 27% after treated by Argon laser with 100 J/cm2 doses, while the survival rate in the control group (without adding R-PE) was 65%. When the C-PC concentration was 120 mg/L, the survival cell rate was 47% after treated by He-Ne laser with 35 J/cm2 dose, while the survival rate in the control group (without adding C-PC) was 70%. After handled only with these two kinds of phycobiliproteins for 72 h, the growth of cancer cells presented significant inhibition. The maximal inhibition rates reached up to 31% with R-PE (120 mg/L concentration) and 27% with C-PC (250 mg/L concentration) respectively. After irradiated by laser for 8 h, the maximal cell apoptosis rates were 31.54% with R-PE and 32.54% with C-PC, respectively. It indicated that R-PE and C-PC extracted from Porphyra yezoensis could develop to new photosensitizers for cancer photodynamic therapy.
Apoptosis ; drug effects ; radiation effects ; Cell Line, Tumor ; Humans ; Lasers ; Liver Neoplasms ; pathology ; Photochemical Processes ; Photochemotherapy ; methods ; Phycobiliproteins ; isolation & purification ; pharmacology ; Phycoerythrin ; isolation & purification ; pharmacology ; Porphyra ; chemistry

Objective To study the effect of alprostadil combined with epalrestat and methylcobalamin in the treatment of type 2 diabetic peripheral neuropathy.Methods From January 2014 to June 2016,120 patients with type 2 diabetic peripheral neuropathy in the First People's Hospital of Baiyin were randomly divided into two groups according to the random number table method.64 patients of the observation group were given the treatment of alprostadil,epalrestat combined with methylcobalamin.56 patients of the control group were given the treatment of alprostadil and methylcobalamin.And the two groups were treated for 4 weeks.The blood glucose,clinical symptoms,adverse reaction,nerve conduction velocity index were compared between the two groups before and after treatment.Results The fasting blood glucose and 2-hour postprandial blood glucose of the two groups after treatment were significantly decreased (t =18.20,17.61,15.75,23.69,all P ＜ 0.05),and the conduction velocity of the common peroneal nerve,the median nerve and the ulnar nerve in the observation group were significantly higher than those in the control group (t =1.989,2.638,3.026,2.187,2.619,1.997,all P ＜ 0.05).The total effective rate of the observation group was significantly higher than that of the control group(95.3％ vs.82.1％,x2 =4.54,P ＜0.05).There were no statistically significant differences in the blood glucose and the incidence rate of adverse reactions between the two groups (t =0.267,0.176,0.695,0.658,x2 =1.356,all P ＞ 0.05).Conclusion Alprostadil combined with epalrestat and methylcobalamin in the treatment of type 2 diabetic peripheral neuropathy has good effect.

Objective:To construct an intelligent foreign bodies detection model based on Faster R-convolutional neural network in posterior-anterior chest X-ray and evaluate the performance of the model.Methods:Totally 5 567 adult posterior-anterior DR chest radiographs from Zhejiang Provincial People′s Hospital and Chun′an County People′s Hospital from June 2019 to March 2020, with 4 247 foreign body-containing chest radiographs were analyzed retrospectively. All data were randomly divided into training set (2 911 foreign body-containing), validation set ( n=1 456, 733 foreign body-containing, 723 free of foreign body) and testing set ( n=1 200, 603 foreign body-containing, 597 free of foreign body). The reference gold standard was set as the results of each chest radiography with foreign body annotated by two radiology residents and reviewed and corrected by a senior radiographer. The receiver operating characteristic (ROC) curve and the area under the curve were used to analyze the efficiency of the deep learning model to distinguish the presence or absence of foreign bodies on chest radiography in the testing set. The precision-recall curve and mean precision (mAP) were used to analyze the stability of the model at different levels. Finally, the influence of different locations, patient gender, and patient age on the foreign body recall of the deep learning model were analyzed. Results:In the testing set, the sensitivity of the deep learning model in diagnosing whether chest radiograph contained foreign bodies was 93.2%(562/603), the specificity was 92.6%(553/597), and the F1 score was 0.94. The area under the ROC curve was 0.97, and the mAP value was 0.69. For foreign bodies in different locations, the recall rates of foreign bodies in lung field and outside lung field were 91.2% (674/739) and 89.0% (1 411/1 585), respectively. For different genders, the recall rates for male and female foreign body detection were 87.3% (337/386) and 90.0%(1 745/1 938), respectively. For different age ranges, the recall rate of foreign body detection was 92.5% (1 041/1 126) for 18-38 years old, 89.7%(505/563) for 39-58 years old, 83.5%(335/401) for 59-78 years old and 85.9% (201/234) for patients ≥79 years old.Conclusion:The constructed deep learning-based foreign body detection model for adult posterior-anterior chest X-ray provides high sensitivity and stability, which can identify foreign bodies in chest radiography quickly and accurately.