Objective To establish a method for determination of chrysophanol,emodin and rhein in Huangzhi capsules.Method Chrysophanol,emodin and rhein in Huangzhi capsules was determined by TLC-scanning with a mixture of n-hexane-ethylacetate-formic acid(30∶10∶0.5) as the developing system.The detection wavelength was 435 nm and 610 nm.Results The calibraction curve of chrysophanol,emodin and rhein was linear in the range of 0.014 65～0.073 25,0.013 35～0.066 75,0.012～0.072 ?g respectively.Conclusion The method was simple,accurate with good repeatability,and suitable for the content determination of chrysophanol,emodin and rhein in Huangzhi capsules.

Objective To establish the quality standard of Yuling Tea for its quality control. Methods Astragalus, Fructus cnidii L, Schisandra chinensis and Lycii Fructus in Yuling Tea were identified by TLC. The content of Schisandrin was determined by HPLC. Welch Materials C18 column (250 mm×4.6 mm, 5 μm) with mobile phase of methanol-water (70∶30) was used. The detective wavelength was 250 nm. Results The TLC for identification was simple and special. Schisandrin showed a good linear relationship in 0.222-0.222 0 μg, r=0.999 9. The average recovery was 98.96%, and RSD was 0.74%. Conclusion The method can accurately determine the content of Schisandrin in Yuling Tea. It can be used for quality control of the preparation.

Objective To explore the application value of telepathological consultation in helping grassroots hospitals.Methods 578 cases of intraoperative telepathology consultation were reviewed,and the accuracy and the timely rate of diagnosis were calculated.The systematic distribution,benign and malignant distribution,and the distribution difference in different primary hospitals were analyzed,so as to evaluate the popularization value of the intraoperative telepathology consultation.Results The accuracy rate of 578 cases of intraoperative telepathology consultation was 99.83％.The timely rate of consultation in 30min was 96.02％,and most reports could be diagnosed in 2 to 5 mins.The source of tissues involved in consultation were thyroid,breast,ovary/fallopian tube and lung.In all cases,24.39％ of the malignant tumors were found.Among the diseases of different systems,the proportion of malignant tumors is the highest in breast diseases,followed by lung,thyroid and ovary.Among the four hospitals with most of the consultations,the rate of malignant tumor in Renmin Hospital of Jianli County was the highest,followed by Renmin Hospital of Yingshan County,Renmin Hospital of Xiaochang County,and Fifth Division Hospital of Xinjiang.Conclusion Intraoperative telepathology consultation can provide accurate and timely expert consultation for grassmots hospitals,avoid the "second operations" of the patients,improve the access of medical treatment for people living in relatively remote areas,solve the shortage of pathologists at the grassroots hospitals,and improve the level of doctors' diagnosis and treatment at the grassroots hospitals,which is worth popularizing and applying in Pathology Department of the grassroots hospitals.

Purpose To explore the artificial intelligence(AI)-assisted diagnosis system of thyroid cancer based on deep transfer learning and evaluate its clinical application value.Methods The HE sections of 682 cases thyroid disease patients(including benign lesions,papillary carcinoma,follicular carci-noma,medullary carcinoma and undifferentiated carcinoma)in the Pathology Department of the Renmin Hospital of Wuhan Uni-versity were collected,scanned into digital sections,divided into training sets and internal test sets according to the ratio of 8 ∶ 2,and the training sets were labeled at the pixel level by patholo-gists.The thyroid cancer classification model was established u-sing VGG image classification algorithm model.In the process of model training,the parameters of the breast cancer region recog-nition model were taken as the initial values,and the parameters of the thyroid cancer region recognition model were optimized through the transfer learning strategy.Then the test set and 633 intraoperative frozen HE section images of thyroid disease in Jianli County People's Hospital,Jingzhou City,Hubei Province wereused as the external test set to evaluate the performance of the established AI-assisted diagnostic model.Results In the internal test set,without the use of the breast cancer region rec-ognition model transfer learning,the accuracy of the AI-assisted diagnosis model was 0.882,and the area under the Receiver op-erating characteristic(AUC)valuewas0.938;However,inthe use of the Transfer learning model,the accuracy of the AI-assis-ted diagnosis model for was 0.926,and the AUC value was 0.956.In the external test set,the accuracy of the zero learning model was 0.872,the AUC value was 0.915,and the accuracy of the Transfer learning model was 0.905,the AUC value was 0.930.Conclusion The AI-assisted diagnosis method for thy-roid cancer established in this study has good accuracy and gen-eralization.With the continuous development of pathological AI research,transfer learning can help improve the performance and generalization ability of the model,and improve the accura-cy of the diagnostic model.

Objective:To compare the clinical effects of 4 kinds of neurocutaneous perforator flap with vascular anastomosis for repair of hand and foot wounds.Methods:From January, 2005 to September, 2019, 112 patients with hand and foot wounds were treated, there were 78 cases of fingers, 11 cases of first web, 5 cases of palm, 6 cases of hand and 12 cases of foot. The defect area was 2.0 cm×1.5 cm-21.0 cm×12.0 cm. All 112 cases were repaired by neurocutaneous perforator flaps anastomosed with blood vessels. Types of flap were applied: Radial collateral artery perforator flap (with posterior cutaneous nerve of forearm) in 30 cases. The flap area was 5.0 cm×2.0 cm-13.0 cm×6.0 cm. Superficial peroneal artery flap (without superficial peroneal nerve) anastomosed with blood vessels in 15 cases. The flap area was 2.5 cm×2.0 cm-9.0 cm×6.0 cm. Lateral superficial sural artery perforator flap (with superior sural cutaneous nerve) in 26 cases. The flap area was 2.5 cm×1.8 cm-7.0 cm×5.0 cm. Peroneal artery perforator flap (with middle and lower sural nerve) in 41 cases. The flap was harvested with area of 2.5 cm×1.8 cm-23.0 cm ×14.0 cm to repair the wounds of feet, back of hands, first web, palm and fingers. CTA images were observed in 40 clinical patients, and the occurrence rate of radial collateral artery, superficial peroneal artery, superficial lateral sural artery, and peroneal artery were measured. Anastomosis cutaneous nerve in 97 cases, and no cutaneous nerve anastomosis 15 cases (superficial peroneal artery flap).Results:The peroneal artery perforator flap (41 cases) and radial collateral artery perforator flap (30 cases) were harvested. The incidence of perforator vessels was both 100%, and incidence of superficial sural artery was 80.8% (21/26 cases). In the other 19.2% (5/26 cases), the superficial medial sural artery was replaced by too thin vessels. The utilization rate of superficial peroneal artery was 60.0% (9/15 cases), the other 40.0% (6/15 cases) were converted to peroneal artery perforator flap. All flaps survived except 1 case of superficial perforator flap of lateral sural artery, which underwent necrosis at the distal end and healed after dressing change. One hundred and one cases were followed-up, including 90 cases for repairing soft tissue defects in hands and 11 cases in feet. The followed-up time ranged from 12 to 120 months, with an average of 36.6 months. There were 40 cases with excellent function, 45 cases with good function and 5 cases with fair function. There were 78 cases of cutaneous nerve anastomosis of hand flap, and the sensory function was above S 3 level. There were 12 cases without anastomosis of cutaneous nerve of hand flap, and the sensory function reached S 3 level in 3 cases and S 2 level in 9 cases. In 11 cases, the cutaneous nerve was anastomosed to repair the soft tissue defect of the foot, and the sensory function was above S 3 level. The radial collateral artery perforator flaps were relatively bulky and needed to be treated by fat removal. The other 3 kinds of three flaps were not bulky. Conclusion:The perforating vessels of peroneal artery and radial accessory artery have larger diameter and easy to harvest. The superficial peroneal artery and the lateral superficial sural artery are relatively small in caliber, especially the superficial peroneal artery. Among the 4 kinds of cutaneous nerve nutrient vascular flaps, the radial accessory artery perforator flap was the most bloated. Sensory nerve innervation flaps were found in the upper segment of lateral sural cutaneous nerve, posterior forearm cutaneous nerve and middle and lower segment of sural nerve. The superficial peroneal artery perforator flap was accompanied by superficial peroneal nerve that did not send cutaneous branches into the flap. The upper segment of superficial peroneal nerve was only a passing nerve.