Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.

Objective To explore a method to improve the accuracy and generalization ability of medical diagnostic neural network models under conditions of small data volumes,and to address the issue of poor neural network model performance in computer-aided diagnosis of nail diseases due to limited training data.Methods A dual-model strategy integrating instance segmentation with fine-grained feature classification was proposed.The neural network model based on dual-model strategy was trained using the dataset of Image-Based Intelligent Diagnosis of Nail Disease Model task of the first National Digital Health Innovation Application Competition & Health and Medical Big Data Theme Competition.This dataset covered 8 types of nail diseases,including nail matrix nevi,paronychia,nail psoriasis,onychomycosis,subungual hemorrhage,melanonychia,periungual warts,and nail melanoma,with class imbalance present.The diagnostic performance of the dual-model strategy was evaluated and compared with single-model strategies(image classification models[ResNet50 and Swin Transformer]and target detection model based on faster region-based convolutional neural network[Faster R-CNN])under the same hardware and software training conditions.Results The dataset included 1 048 samples,including 210 cases of nail matrix nevi,186 cases of paronychia,69 cases of nail psoriasis,203 cases of onychomycosis,149 cases of subungual hemorrhage,71 cases of melanonychia,93 cases of periungual warts,and 67 cases of nail melanoma,with 90％used for training various models and 10％for evaluation.The micro F1 score was 0.324 in the image classification model based on ResNet50,0.381 in the image classification model based on Swin Transformer,0.572 in the target detection model based on Faster R-CNN,and 0.714 in the dual-model strategy model Mask R-CNN+Swin Transformer.The accuracy rates for diagnosing different nail diseases in the dual-model strategy were:nail matrix nevi 80.95％(17/21),paronychia 89.47％(17/19),nail psoriasis 100.00％(7/7),onychomycosis 70.00％(14/20),subungual hemorrhage 73.33％(11/15),melanonychia 14.29％(1/7),periungual warts 55.56％(5/9),and nail melanoma 42.86％(3/7).The micro F1 score for evaluating the dual-model strategy on a test set of 1 000 cases was 0.844.Conclusion The dual-model strategy can effectively combine models with different functions to well accomplish the task of intelligent diagnosis of nail diseases under small data volume training conditions.

Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.

Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.

Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.

Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.

Objective:To assess the diagnostic efficacy of upper gastrointestinal endoscopic image assisted diagnosis system (ENDOANGEL-LD) based on artificial intelligence (AI) for detecting gastric lesions and neoplastic lesions under white light endoscopy.Methods:The diagnostic efficacy of ENDOANGEL-LD was tested using image testing dataset and video testing dataset, respectively. The image testing dataset included 300 images of gastric neoplastic lesions, 505 images of non-neoplastic lesions and 990 images of normal stomach of 191 patients in Renmin Hospital of Wuhan University from June 2019 to September 2019. Video testing dataset was from 83 videos (38 gastric neoplastic lesions and 45 non-neoplastic lesions) of 78 patients in Renmin Hospital of Wuhan University from November 2020 to April 2021. The accuracy, the sensitivity and the specificity of ENDOANGEL-LD for image testing dataset were calculated. The accuracy, the sensitivity and the specificity of ENDOANGEL-LD in video testing dataset for gastric neoplastic lesions were compared with those of four senior endoscopists.Results:In the image testing dataset, the accuracy, the sensitivity, the specificity of ENDOANGEL-LD for gastric lesions were 93.9% (1 685/1 795), 98.0% (789/805) and 90.5% (896/990) respectively; while the accuracy, the sensitivity and the specificity of ENDOANGEL-LD for gastric neoplastic lesions were 88.7% (714/805), 91.0% (273/300) and 87.3% (441/505) respectively. In the video testing dataset, the sensitivity [100.0% (38/38) VS 85.5% (130/152), χ2=6.220, P=0.013] of ENDOANGEL-LD was higher than that of four senior endoscopists. The accuracy [81.9% (68/83) VS 72.0% (239/332), χ2=3.408, P=0.065] and the specificity [ 66.7% (30/45) VS 60.6% (109/180), χ2=0.569, P=0.451] of ENDOANGEL-LD were comparable with those of four senior endoscopists. Conclusion:The ENDOANGEL-LD can accurately detect gastric lesions and further diagnose neoplastic lesions to help endoscopists in clinical work.

Objective:To construct a real-time artificial intelligence (AI)-assisted endoscepic diagnosis system based on YOLO v3 algorithm, and to evaluate its ability of detecting focal gastric lesions in gastroscopy.Methods:A total of 5 488 white light gastroscopic images (2 733 images with gastric focal lesions and 2 755 images without gastric focal lesions) from June to November 2019 and videos of 92 cases (288 168 clear stomach frames) from May to June 2020 at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University were retrospectively collected for AI System test. A total of 3 997 prospective consecutive patients undergoing gastroscopy at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University from July 6, 2020 to November 27, 2020 and May 6, 2021 to August 2, 2021 were enrolled to assess the clinical applicability of AI System. When AI System recognized an abnormal lesion, it marked the lesion with a blue box as a warning. The ability to identify focal gastric lesions and the frequency and causes of false positives and false negatives of AI System were statistically analyzed.Results:In the image test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 92.3% (5 064/5 488), 95.0% (2 597/2 733), 89.5% (2 467/ 2 755), 90.0% (2 597/2 885) and 94.8% (2 467/2 603), respectively. In the video test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 95.4% (274 792/288 168), 95.2% (109 727/115 287), 95.5% (165 065/172 881), 93.4% (109 727/117 543) and 96.7% (165 065/170 625), respectively. In clinical application, the detection rate of local gastric lesions by AI System was 93.0% (6 830/7 344). A total of 514 focal gastric lesions were missed by AI System. The main reasons were punctate erosions (48.8%, 251/514), diminutive xanthomas (22.8%, 117/514) and diminutive polyps (21.4%, 110/514). The mean number of false positives per gastroscopy was 2 (1, 4), most of which were due to normal mucosa folds (50.2%, 5 635/11 225), bubbles and mucus (35.0%, 3 928/11 225), and liquid deposited in the fundus (9.1%, 1 021/11 225).Conclusion:The application of AI System can increase the detection rate of focal gastric lesions.

ObjectiveTo analyze the characteristics of HIV-1 subtypes and drug-resistance mutation sites among HIV-infected patients who received high-efficiency antiretroviral therapy but failed. MethodsA total of 130 plasma samples were collected from the patients who received antiviral treatment for 6 months in Taizhou City of Zhejiang Province in 2021 but failed the treatment and the viral load was ≥1 000 copies·mL^-1. Nucleic acid in the samples was extracted， and the pol gene was amplified by nested reverse transcription PCR. After next-generation sequencing， online tools were used to compare and analyze the subtypes and drug-resistant mutation sites. ResultsA total of 110 samples were successfully sequenced. The main HIV-1 subtype was CRF01_AE， accounting for 42.72% （47 cases）， followed by CRF07_BC， 35.45% （39 cases）； CRF08_BC， 10.00% （11 cases）； CRF85_BC ， 8.18% （9）； and a small number of B subtype， 1.81% （2 cases） and C subtype， 1.81% （2 cases）. The online tool comparison showed that there were 67 cases with mutations of drug-resistance sites and 61 cases with drug-resistance. The mutation sites were mainly M184V， K103N， K65R and V181C， and the mutation rates were 20.00% （22 cases）， 10.91% （12 cases）， 8.18% （9 cases） and 8.18% （9 cases）， respectively. These mutation sites caused different degrees of resistance to nucleoside reverse transcriptase inhibitors （NRTI）， non- nucleoside reverse transcriptase inhibitors （NNRTI） and protease inhibitors （PI）， including 45 cases of NRTI， 61 cases of NNRTI and 2 cases of PI resistance. ConclusionThe HIV infected people who fail the treatment in Taizhou are mainly with the subtypes CRF01_AE and CRF07_BC. The rate of drug-resistance mutation is at a moderate level， mainly due to the mutation of NRTI and NNRTI drug-resistance sites， and a small number of PI drug-resistance sites. Therefore， the antiviral treatment plan for HIV infected people should be reasonably adjusted， and the detection of drug-resistance mutation sites should be strengthened to avoid the generation of transmissible drug-resistance strains.

Objective:To explore the feasibility and safety of robot-assisted retrohepatic inferior vena cava(IVC) tumor thrombectomy for renal tumor patients with a single position.Methods:The clinical data of 6 renal tumor patients with retrohepatic IVC thrombus (5 males and 1 female, mean age of 58 years) who underwent robot-assisted retrohepatic IVC tumor thrombectomy with a single position in First Affiliated Hospital of Zhengzhou University from December 2015 to August 2020 were retrospectively reviewed. Four cases had the renal tumor on the right side and two on the left side. The mean tumor size was 9.6 cm(range 7-13 cm). There were 4 cases of Mayo level Ⅱ and 2 cases of level Ⅲ IVC thrombus with the mean IVC thrombus length of 6.5 cm(range 5-8cm). The "IVC-first, kidney-last" robotic technique was developed to minimize chances of IVC thrombus embolization for retrohepatic IVC thrombus, and a "artery-first, vein-second" robotic operative strategy were developed to minimize chances of intraoperative hemorrhage. The whole procedure (the suprahepatic infradiaphramatic IVC, first porta hepatis and left renal vein control, caval exclusion, tumor thrombectomy, IVC repair, radical nephrectomy) was performed exclusively robotically with a single position.Results:All 6 robotic procedures were successful, without open conversion or mortality. The mean operative time was 210 min(130-320 min), estimated blood loss was 800 ml(300-2 100 ml) and three patients (5%) received intraoperative blood transfusion. The mean time of occlusion of IVC was 21 min (15-43min). Incomplete blocking occurred in two cases(one IVC, one first porta hepatis), and tumor thrombectomy were completed with intraoperative loss. IVC invasion was confirmed intraoperatively in one patient and we staple-transected the IVC without reconstruction. Six patients were all transferred to the intensive care unit for median of 2.1 days (1-4 days) after surgery. The mean time of postoperative drainage was 5 days (4-9 days). Renal dysfunction occurred in 3 patients and liver dysfunction occurred in 2 patients, and all recovered after medical therapy. Postoperative pathological diagnosis revealed 5 cases of clear cell carcinoma and 1 case of renal sarcoma, and the 5 cases received targeted therapy. With a median follow-up of 27 months (3-54 months), 3 patients were alive, 1 alive with tumor recurrence, and 2 died of cancer.Conclusions:Robot-assisted laparoscopic retrohepatic IVC thrombectomy with a single position have the advantage of simple procedure, shorter operative time, less trauma and quicker recovery, and it is a feasible and effective method for renal tumor patients with retrohepatic IVC thrombus.