Objective To study the diagnosis and treatment of hepatic focal nodular hyperplasia(FNH).Methods The clinical data of 15 FNH patients proved by pathological examination were retrospectively analyzedResults Most cases of FNH were asymptomatic,and some had nonspecific symptom such as dull pain of upper abdomen.Most cases of FNH showed nodular lesion on liver imaging with isodensity or hypodensity on pre-contrast CT scan and strong enhancement during arterial phase.of the 15 FNH patients,5 eases were diagnosed by needle biopsy pathology,10 cases were diagnosed by postoperative pathology.And 10 cases underwent surgical resection(7 cages with irregular hepatectomy,1 case with resection of segment 7,2 cases with left lateral lobeetomy),2 cases underwent percutaneous transhepafic chemical ablation,3 cases underwent clinical observation.All cases were followed up,and no recurence or malignancy were found.Conclusion FNH is a kind of benign tumor of liver without specific clinical manifestation.Accurate diagnosis needs pathological examination.Surgical treatment is recommended in most cages.Close follow-up is recommended in cases without operation.

Objective To explore the clinical characteristics of acute calculous cholecystitis in over 80 years old patients.Methods A retrospective study was made on the clinical data of 71 cases diagnosed as acute calculous cholecystitis and receiving surgical treatment from Sep 2006 to Sep 2016.Patients were divided into three groups:Early LC group (25 patients),PTGD group (29 patients),the staged LC group (17 patients) after PTGD.Results There was statistically significant difference in the gallbladder wall thickness,operation time and blood loss between the two LC groups.There was no statistically significant difference between the two LC groups in other baseline data and hospital stay,hospital cost,rate of postoperational complication,rate of conversion to open procedure between the two LC groups.There was statistically significant difference between the early LC group and PTGD group in the baseline data.Logistic regression analysis indicated that the TG13 grade was an important influence factor for treatment selection of PTGD (OR=3.957,P=0.015,95％CI:1.30-12.043).Conclusion Laparoscopic cholecystectomy was safe for good risk over 80 years old patients.For poor risk patients,PTGD is recommended before a LC attempt.

Objective: To investigate the relation of Epstein-Barr virus (EBV)-induced immune escape to regulatory T cells(Treg) in nasopharyngeal carcinoma(NPC). Methods: We recruited 83 patients who were pathologically diagnozed as nasopharyngeal carcinoma and treated in Nanfang Hospital from January to September 2016. CD4⁺ CD25⁺ FOXP3⁺ Treg in peripheral blood was examined by flow cytometry and the level of EBV DNA in the blood was detected by quantitative real-time polymerase chain reaction(qRT-PCR)in 83 patients and 51 healthy adults as control. The expression of FOXP3⁺ Treg and EBER in NPC in 32 of 83 patients and in nasopharyngitis in 16 control patients were tested by immunohistochemistry(IHC) and in-situ hybridization(ISH). Results: The ratio of Treg in blood in patients with NPC(5.29±1.45)% was higher than that in control group (4.78±1.19) %, with a statistically significant difference(P=0.035). The ratio of Treg in blood in patients with positive EBV was higher than that in patients with negative EBV(P=0.013), and there was a positive correlation between EBV DNA copies and Treg ratio(r=0.335, P=0.002). The density of FOXP3⁺ Treg in NPC was higher than that in nasopharyngitis(P=0.001). Positive correlation was found between the density of FOXP3⁺ Treg and the stain intensity of EBER(r=0.496, P=0.004). Conclusion The ratios of Treg in blood and tissue in NPC patients with positive EBV are significantly increased, indicating a role of Treg in EBV-induced immune escape in NPC.

Arrhythmia is a significant cardiovascular disease that poses a threat to human health, and its primary diagnosis relies on electrocardiogram (ECG). Implementing computer technology to achieve automatic classification of arrhythmia can effectively avoid human error, improve diagnostic efficiency, and reduce costs. However, most automatic arrhythmia classification algorithms focus on one-dimensional temporal signals, which lack robustness. Therefore, this study proposed an arrhythmia image classification method based on Gramian angular summation field (GASF) and an improved Inception-ResNet-v2 network. Firstly, the data was preprocessed using variational mode decomposition, and data augmentation was performed using a deep convolutional generative adversarial network. Then, GASF was used to transform one-dimensional ECG signals into two-dimensional images, and an improved Inception-ResNet-v2 network was utilized to implement the five arrhythmia classifications recommended by the AAMI (N, V, S, F, and Q). The experimental results on the MIT-BIH Arrhythmia Database showed that the proposed method achieved an overall classification accuracy of 99.52% and 95.48% under the intra-patient and inter-patient paradigms, respectively. The arrhythmia classification performance of the improved Inception-ResNet-v2 network in this study outperforms other methods, providing a new approach for deep learning-based automatic arrhythmia classification.
Humans ; Arrhythmias, Cardiac/diagnostic imaging* ; Cardiovascular Diseases ; Algorithms ; Databases, Factual ; Electrocardiography