Fungal mycetoma is a chronic granulomatous lesion that persists in the skin and subcutaneous tissue for a long time.It is commonly caused by fungal infection in field workers who are pricked to the subcutaneous tissue by thorns from soil,plants,or bramble.Fungal mycetoma cases is rare in China.This article reports two cases of fun-gal mycetoma caused by Madurella grisea and Aspergillus flavus infection,which improve after surgical debride-ment and antifungal drug treatment.This study aims to improve clinicians'understanding on fungal mycetoma and achieve early diagnosis and treatment.

Background: Early diagnosis and accurate staging are important to improve the cure rate and prognosis for pancreatic cancer.This study was performed to develop an automatic and accurate imaging processing technique system,allowing this system to read computed tomography(CT)images correctly and make diagnosis of pancreatic cancer faster.Methods: The establishment of the artificial intelligence(AI)system for pancreatic cancer diagnosis based on sequential contrast-enhanced CT images were composed of two processes: training and verification.During training process,our study used all 4385 CT images from 238 pancreatic cancer patients in the database as the training data set.Additionally,we used VGG16,which was pre-trained in ImageNet and contained 13 convolutional layers and three fully connected layers,to initialize the feature extraction network.In the verification experiment,we used sequential clinical CT images from 238 pancreatic cancer patients as our experimental data and input these data into the faster region-based convolution network(Faster R-CNN)model that had completed training.Totally,1699 images from 100 pancreatic cancer patients were included for clinical verification.Results: A total of 338 patients with pancreatic cancer were included in the study.The clinical characteristics(sex,age,tumor location,differentiation grade,and tumor-node-metastasis stage)between the two training and verification groups were insignificant.The mean average precision was 0.7664,indicating a good training effect of the Faster R-CNN.Sequential contrast-enhanced CT images of 100 pancreatic cancer patients were used for clinical verification.The area under the receiver operating characteristic curve calculated according to the trapezoidal rule was 0.9632.It took approximately 0.2 s for the Faster R-CNN AI to automatically process one CT image,which is much faster than the time required for diagnosis by an imaging specialist.Conclusions: Faster R-CNN AI is an effective and objective method with high accuracy for the diagnosis of pancreatic cancer.

This study was undertaken to analyze and evaluate the diagnosis and principal treatment methods for congenital choledochal cyst, focusing on various surgical procedures and clinical outcome. A comprehensive, retrospective study was conducted on 72 adult patients who presented with choledochal cyst from 1985 to 2002. Surgical procedures were cyst excision with hepaticojejunostomy in 25 cases for type I or type IV-B, extrahepatic cyst excision with hepaticojejunostomy in 8 cases for type IV-A, extrahepatic cyst excision with modified hepaticojejunostomy in 2 cases for type IV-B, non-cyst excision with or without hepaticojejunostomy in 27 cases for types I, II, IV-A, IV-B. The early postoperative morbidity and mortality rate were 16.1% (9/62) and 6.5% (4/62) respectively, and the complication rate related to surgical procedure was 30.6% (19/62). The incidence of cholangiocarcinoma with non-cyst excision or non-operated congenital choledochal cyst was 10.8% (4/37). One patient died of primary hepatocellular carcinoma after cyst excision with hepatojejunostomy. In conclusion, our results showed that complete exci-sion of choledochal cyst for types I, II, and IV-B and complete excision of extra-hepatic choledochal cyst from the hepatic hilum in type IV-A with hepaticojejunostomy or modified hepaticojejunostomy are the treatment of choice for choledochal cyst in adult patients.
Academic Medical Centers/trends ; Adolescent ; Adult ; Choledochal Cyst/*epidemiology/*surgery ; Female ; Hepatectomy/*methods/*statistics & numerical data ; Humans ; Jejunostomy/*methods/*statistics & numerical data ; Korea/epidemiology ; Male ; Middle Aged ; Postoperative Complications/*epidemiology ; Retrospective Studies ; Treatment Outcome

BACKGROUND/AIMS: Evidence suggests that Shen-Kang (SK), a traditional Chinese herbal medicine, protects against various types of renal injury. In this study, we evaluated whether SK treatment confers renoprotection in a rat model of chronic tacrolimus (TAC) nephropathy. METHODS: Rats were treated daily with TAC (1.5mg/kg, subcutaneously) and SK (450 mg/kg, intravenously) for 4 weeks. The effects of SK on TAC-induced renal injury were assessed by measuring renal function, urine albumin excretion, histopathology, inflammatory cell infiltration, expression of profibrotic (transforming growth factor β1 [TGF-β1] and TGF-β inducible gene-h3 [βig-h3]) and proinflammatory cytokines, oxidative stress, and apoptotic cell death. RESULTS: Administration of SK preserved glomerular integrity (fractional mesangial area and Wilms tumor 1-positive glomeruli), attenuated tubulointerstitial fibrosis, and reduced the number of ectodermal dysplasia 1-positive cells, and this was paralleled by improved urine albumin excretion and renal dysfunction. At the molecular level, SK treatment suppressed expression of TGF-β1/Smad2/3, βig-h3, and proinflammatory cytokines. Oxidative stress and apoptotic cell death were significantly decreased with SK treatment, and apoptosis-related genes were regulated toward cell survival (active caspase-3 and the B-cell lymphoma-2/Bcl2-associated X [Bcl-2/Bax] ratio). CONCLUSIONS SK protects against TAC-induced renal injury.

OBJECTIVETo analyze the efficacy and its correlation with species of transplant cells of autologous mobilized peripheral blood (PB) mononucleated cells (MNCs) transplantation on 59 patients with lower limbs ischemia.

METHODSFifty-nine patients were evaluated with symptoms scores and after that their PBMNCs were mobilized and collected and then injected into the ischemic area at equal distance. They effectiveness and scores were evaluated at 7th day and 4th month after therapy. The correlation of CD34(+) cells and of MNCs with effectiveness was analysed respectively, and formula for correlations between them and effectiveness was calculated.

RESULTSAfter MNCs injection, the effectiveness was observed both at 7th day and 4th month. The correlation of MNCs with effectiveness was stronger than that of CD34(+) cells (the effectiveness was represented by nimodipine value), According to the formula of nimodipine value, the value of the latter = 0.484 + 1.055 × CD34(+) cells number and the former = 0.288 + 0.401 × MNCs number with a correlation coefficient of R = 0.461 (P = 0.047) and R = 0.473 (P = 0.000) respectively.

CONCLUSIONAutologous mobilized PBMNCs number is a better indicator for effectiveness than CD34(+) cells number.

Female ; Humans ; Ischemia ; surgery ; Lower Extremity ; blood supply ; Male ; Middle Aged ; Monocytes ; transplantation ; Peripheral Blood Stem Cell Transplantation ; methods ; Peripheral Vascular Diseases ; surgery ; Transplantation, Autologous

Background/Aims: Accumulating evidence indicates that L-carnitine (LC) protects against multiorgan damage through its antioxidant properties and preservation of the mitochondria. Little information is available about the effects of LC on renal fibrosis. This study examined whether LC treatment would provide renoprotection in a rat model of unilateral ureteral obstruction (UUO) and in vitro. Methods: Sprague-Dawley rats that underwent UUO were treated daily with LC for 7 or 14 days. The influence of LC on renal injury caused by UUO was evaluated by histopathology, and analysis of gene expression, oxidative stress, mitochondrial function, programmed cell death, and phosphatidylinositol 3-kinase (PI3K)/ AKT/forkhead box protein O 1a (FoxO1a) signaling. In addition, H2O2-exposed human kidney cells (HK-2) were treated with LC. Results: LC treatment inhibited expression of proinflammatory and profibrotic cytokines, and was followed by a significant attenuation of tubulointerstitial inflammation and fibrosis. The increased oxidative stress caused by UUO was associated with mitochondrial dysfunction and excessive apoptosis and autophagy via PI3K/AKT/FoxO1a-dependent signaling, and this was abrogated by administration of LC. In H2O2-exposed HK-2 cells, LC decreased intracellular production of reactive oxygen species, and suppressed expression of profibrotic cytokines and reduced the number of apoptotic cells. Conclusions LC protects against the progression of tubulointerstitial fibrosis in an obstructed kidney.

Objective: To examine the radiomics model based on high-resolution T2WI and diffusion weighted imaging (DWI) in predicting microsatellite stability in patients with stage Ⅱ and Ⅲ rectal cancer. Methods: From February 2016 to October 2020, 175 patients with stage Ⅱ and Ⅲ rectal cancer who met the inclusion criteria were retrospectively collected. There were 119 males and 56 females, aged (63.9±9.4) years (range: 37 to 85 years), including 152 patients with microsatellite stability and 23 patients with microsatellite instability. All patients were randomly divided into the training group (n=123) and the validation group (n=52) with a ratio of 7∶3. The region of interest was labeled on the T2WI and DWI images of each patient using the ITK-SNAP software, and PyRadiomics was used to extract seven kinds of radiomics features. After removing redundant features and normalizing features, the least absolute shrinkage and selection operation were used for feature selection. One clinical model, three radiomics models and one clinical-radiomics model were constructed in the training group based on a support vector machine. The area under receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy were used to evaluate the performance of the models in the verification group. Results: Three clinical features (age, degree of tumor differentiation, and distance from the lower edge of the tumor to the anal edge) and six radiomics features (two DWI-related features and four T2WI-related features) most related to microsatellite status of rectal cancer patients were selected. The AUC of the clinical-radiomics model in the training group was 0.95. In the validation group, the AUC was 0.81, better than the clinical model (0.68, Z=0.71, P=0.04), and equivalent to the T2WI+DWI model (0.82, Z=0.21, P=0.83). Conclusions: Radiomic features based on preoperative T2WI and DWI were related to microsatellite stability in patients with stage Ⅱ and Ⅲ rectal cancer and showed a high classification efficiency. The model based on the features provided a noninvasive and convenient tool for preoperative determination of microsatellite stability in rectal cancer patients.

Objective: To analyze the clinical features and prognosis of acute severe autoimmune hepatitis (AIH). Methods: A retrospective analysis of the clinical data of patients with acute severe AIH admitted to our hospital from 2008 to 2019 was divided into acute AIH (A-AIH) and chronic acute AIH (AC-AIH) according to the presence or absence of liver diseases. Patients' general condition, liver biochemistry, immunology, histological features of liver, hormonal therapies prognosis and related factors were analyzed. Results: A total of 41 cases [39 females, age (54.24 ± 10.55) years] were collected. Alanine aminotransferase (ALT) and total bilirubin (TBil) were significantly increased, and the international normalized ratio (INR) was > 1.5. Acute lobular inflammation was the feature of acute and severe AIH in the histology of liver. The serum IgG level was (28.36 ± 8.35) g / L. The positive rate of antinuclear antibody (ANA) and anti-smooth muscle antibody (ASMA) was 82.9%, and 17.1%, respectively. Over 70% of acute severe AIHs were AC-AIH. The duration of onset of AC-AIH was > 8 weeks, while most A-AIHs < 8 weeks, and the differences between the two groups were statistically significant (P = 0.001). The mortality rate within 30 days after hormonal treatment was 19.5%. There were statistically significant differences in TBil, Model for End-Stage Liver Disease (MELD) score and leukocyte count between the death and survival group. Conclusion: The mortality rate in acute severe AIH is high, and most of them have the basis of chronic liver disease. Serum IgG level, autoantibodies and acute lobular inflammation are important factors for diagnosis. The prognosis of hormonal therapy is related to the patients' condition and course of disease.
Adult ; Autoantibodies ; End Stage Liver Disease ; Female ; Hepatitis, Autoimmune/diagnosis* ; Humans ; Middle Aged ; Prognosis ; Retrospective Studies ; Severity of Illness Index

Large general hospitals currently play an increasingly important role in the diagnosis and treatment for acute critical patients and difficult diseases because of the development of dual referral system and hierarchical diagnosis, as well as the formation of medical treatment alliance. Patients with oral cancers are often associated with systemic diseases, which increases the complexity of the condition. Thus, meeting the demand through the traditional single medical model is difficult. As such, a multidisciplinary team (MDT) model has been proposed and has achieved a good clinical effect. To standardize the application of this model, we organized an event in which relevant experts discussed and formulated a consensus to provide standardized suggestions on the MDT process and the diagnosis and treatment of common systemic diseases as reference for clinical practice.
Consensus ; Humans ; Mouth Neoplasms/therapy* ; Patient Care Team ; Referral and Consultation