Unusual Giant Pre-Sacral Multicystic Schwannoma: A Case Report and Differential Diagnosis

Background: Schwannomas are generally benign neoplasms arising from the nerve sheath. Presacral schwannomas are very rare entities and difficult to diagnose, representing less than 15% of all retrorectal space tumors. Benign schwannoma sometimes displays degenerative changes, such as cyst formation, calcification, hemorrhage, and hyalinization. Usually these degenerations are partially seen in the tumors. Objective: To point out that presacral schwannoma can display markedly multilocular cystic degeneration. Case Report: We present this unique case of a 24-year-old man diagnosed with an unusually large pure multilocular cystic schwannoma, which is revealed by digestive, urinary, and nonspecific neurological symptoms. The patient was successfully treated with radical surgery via an anterior approach leading to the recovery of symptoms. Discussion and Conclusion: This tumor was unusual in its totally multicystic appearance and its resemblance to a wide spectrum of lesions that can occur in the pre-sacral space, such as hydatid and developmental cysts. Preoperative diagnosis is essential to prevent major neurological deficits during surgical intervention.

Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts

Odontogenic keratocyst(OKC)is a common jaw cyst with a high recurrence rate.OKC combined with basal cell carcinoma as well as skeletal and other developmental abnormalities is thought to be associated with Gorlin syndrome.Moreover,OKC needs to be differentiated from orthokeratinized odontogenic cyst and other jaw cysts.Because of the different prognosis,differential diagnosis of several cysts can contribute to clinical management.We collected 519 cases,comprising a total of 2157 hematoxylin and eosinstained images,to develop digital pathology-based artificial intelligence(AI)models for the diagnosis and prognosis of OKC.The Inception_v3 neural network was utilized to train and test models developed from patch-level images.Finally,whole slide imagelevel AI models were developed by integrating deep learning-generated pathology features with several machine learning algorithms.The AI models showed great performance in the diagnosis(AUC=0.935,95%CI:0.898–0.973)and prognosis(AUC=0.840,95%CI:0.751–0.930)of OKC.The advantages of multiple slides model for integrating of histopathological information are demonstrated through a comparison with the single slide model.Furthermore,the study investigates the correlation between AI features generated by deep learning and pathological findings,highlighting the interpretative potential of AI models in the pathology.Here,we have developed the robust diagnostic and prognostic models for OKC.The AI model that is based on digital pathology shows promise potential for applications in odontogenic diseases of the jaw.

Extrahepatic cholestasis associated with paracoccidioidomycosis:Challenges in the differential diagnosis of biliopancreatic neoplasia

BACKGROUND Paracoccidioidomycosis(PCM)may involve the hepatic pedicle and peripan creatic lymph nodes,cause damage to the bile duct and manifest,exceptionally,in combination with extrahepatic cholestasis(EHC),making investigation and treatment challenging.AIM To investigate the management of patients with visceral PCM admitted with EHC.METHODS All patients diagnosed with PCM treated in a public,tertiary teaching hospital between 1982 and 2020 were retrospectively evaluated.Those also identified with EHC were allocated to two groups according to the treatment approach for the purpose of comparing clinical,laboratory,and imaging findings,resources used for etiological diagnosis,treatment results,and prognosis.Statistical analyses were performed using the linear mixed-effects model(random and fixed effects),which was adjusted using the PROC MIXED procedure of the SAS®9.0 software,and Fisher’s exact test.RESULTS Of 1645 patients diagnosed with PCM,40(2.4%)had EHC.Of these,20(50.0%)lived in the rural area and 29(72.5%)were men,with a mean age of 27.1 years(3-65 years).Jaundice as first symptom and weight loss of at least 10 kg were observed in 16 patients(40.0%),and a mass in the head of the pancreas was observed in 8(20.0%).The etiological diagnosis was made by tissue collection during surgery in 4 cases(10.0%)and by endoscopic methods in 3 cases(7.5%).Twenty-seven patients(67.5%)received drug treatment alone(Group 1),whereas 13(32.5%)underwent endoscopic and/or surgical procedures in combination with drug treatment(Group 2).EHC was significantly reduced in both groups(40.7% in Group 1,with a mean time of 3 months;and 38.4% in Group 2,with a mean time of 7.5 months),with no statistically significant difference between them.EHC recurrence rates,associated mainly with treatment nonadherence,were similar in both groups:37% in Group 1 and 15.4% in Group 2.The mortality rate was 18.5% in Group 1 and 23% in Group 2,with survival estimates of 71.3% and 72.5%,respectively,with no statistically significant difference.CONCLUSION Although PCM-related EHC is rare,it needs to be included in the differential diagnosis of malignancies,as timely treatment can prevent hepatic and extrahepatic sequelae.

Analysis of the Role of D-Dimer,Interleukin-6,and Interleukin-18 in Differential Diagnosis of Pediatric Refractory Mycoplasma pneumoniae Pneumonia

Objective:To analyze the value of D-dimer(D-D),interleukin-6(IL-6),and IL-18 in the differential diagnosis of children with refractory Mycoplasma pneumoniae pneumonia(RMPP).Methods:The medical records of 92 children with Mycoplasma pneumoniae pneumonia(MPP)treated in the hospital were selected for retrospective analysis from January 2023 to January 2024.After comprehensive examinations such as computed tomography examination of the chest,48 children with general Mycoplasma pneumoniae pneumonia(GMPP)were put in the GMPP group and 44 children with RMPP were grouped in the RMPP group.The IL-6,IL-18,and D-D levels were compared between the two groups,and the receiver operating characteristic(ROC)curves were plotted to analyze their value for differential diagnosis of RMPP.Results:The levels of IL-6,IL-18,and D-D in the RMPP group were higher than those in the GMPP group(P<0.05);the ROC curves showed that the specificity of the differential diagnosis of IL-6,IL-18,and D-D was higher,and their diagnostic value was significant.Conclusion:Determination of IL-6,IL-18,and D-D levels in children with MPP can further diagnose the children’s condition,which can help physicians formulate targeted treatment plans,and is of great significance to the improvement of the children’s condition,which is worthy of attention.

The Application Value of Ultrasound Imaging in the Differential Diagnosis of Benign and Malignant Breast Nodules of BI-RADS 3 and Above

Objective:To explore the diagnostic value of ultrasound imaging for breast nodules of breast imaging-reporting and data system(BI-RADS)category 3 and above.Methods:From June 2021 to July 2022,163 patients with breast nodules of BI-RADS 3 or above were selected as the research subjects.After pathological diagnosis,24 cases were malignant breast nodules of BI-RADS 3 or above,while 139 cases were benign breast nodules of BI-RADS 3 or above.The diagnosis rate of malignant and benign breast nodules of BI-RADS 3 or above,including 95%CI,was observed and analyzed.Results:The malignant and benign detection rates of conventional ultrasound were 88.63%and 75.00%,respectively,and the malignant and benign detection rates of ultrasound imaging were 93.18%and 87.50%,respectively,with 95%CIs greater than 0.7.Conclusion:Ultrasound imaging can help improve the diagnostic accuracy of benign and malignant breast nodules of BI-RADS 3 and above and reduce the misdiagnosis rate.

Identification of differentially expressed mRNAs as novel predictive biomarkers for gastric cancer diagnosis and prognosis

BACKGROUND Gastric cancer(GC)has a high mortality rate worldwide.Despite significant progress in GC diagnosis and treatment,the prognosis for affected patients still remains unfavorable.AIM To identify important candidate genes related to the development of GC and iden-tify potential pathogenic mechanisms through comprehensive bioinformatics analysis.METHODS The Gene Expression Omnibus database was used to obtain the GSE183136 dataset,which includes a total of 135 GC samples.The limma package in R software was employed to identify differentially expressed genes(DEGs).Thereafter,enrichment analyses of Gene Ontology(GO)terms and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways were performed for the gene modules using the clusterProfile package in R software.The protein-protein interaction(PPI)networks of target genes were constructed using STRING and visualized by Cytoscape software.The common hub genes that emerged in the cohort of DEGs that was retrieved from the GEPIA database were then screened using a Venn Diagram.The expression levels of these overlapping genes in stomach adenocarcinoma samples and non-tumor samples and their association with prognosis in GC patients were also obtained from the GEPIA database and Kaplan-Meier curves.Moreover,real-time quantitative polymerase chain reaction(RT-qPCR)and western blotting were performed to determine the mRNA and protein levels of glutamic-pyruvic transaminase(GPT)in GC and normal immortalized cell lines.In addition,cell viability,cell cycle distribution,migration and invasion were evaluated by cell counting kit-8,flow cytometry and transwell assays.Furthermore,we also conducted a retrospective analysis on 70 GC patients diagnosed and surgically treated in Wenzhou Central Hospital,Dingli Clinical College of Wenzhou Medical University,The Second Affiliated Hospital of Shanghai University between January 2017 to December 2020.The tumor and adjacent normal samples were collected from the patients to determine the potential association between the expression level of GPT and the clinical as well as pathological features of GC patients.RESULTS We selected 19214 genes from the GSE183136 dataset,among which there were 250 downregulated genes and 401 upregulated genes in the tumor samples of stage III-IV in comparison to those in tumor samples of stage I-II with a P-value<0.05.In addition,GO and KEGG results revealed that the various upregulated DEGs were mainly enriched in plasma membrane and neuroactive ligand-receptor interaction,whereas the downregulated DEGs were primarily enriched in cytosol and pancreatic secretion,vascular smooth muscle contraction and biosynthesis of the different cofactors.Furthermore,PPI networks were constructed based on the various upregulated and downregulated genes,and there were a total 15 upregulated and 10 downregulated hub genes.After a comprehensive analysis,several hub genes,including runt-related transcription factor 2(RUNX2),salmonella pathogenicity island 1(SPI1),lysyl oxidase(LOX),fibrillin 1(FBN1)and GPT,displayed prognostic values.Interestingly,it was observed that GPT was downregulated in GC cells and its upregulation could suppress the malignant phenotypes of GC cells.Furthermore,the expression level of GPT was found to be associated with age,lymph node metastasis,pathological staging and distant metastasis(P<0.05).CONCLUSION RUNX2,SPI1,LOX,FBN1 and GPT were identified key hub genes in GC by bioinformatics analysis.GPT was significantly associated with the prognosis of GC,and its upregulation can effectively inhibit the proliferative,migrative and invasive capabilities of GC cells.

Role of Plain Abdominal X-Ray in the Differential Diagnosis of Common Acute Abdominal Conditions in Children at Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State, Nigeria

Background: The plain abdominal x-ray is one of the commonly requested investigations in the children emergency room, paediatric surgical ward and neonatal wards. The short interval required to carry out this investigative procedure and obtain results makes it the first imaging modality used to unravel the different causes of acute abdominal conditions in children. The safety of abdominal x-ray in children makes it attractive for use in paediatric surgical practice as part of routine work-up for undifferentiated acute abdominal conditions and also to diagnose specific causes of acute abdomen in children. Setting: Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State. Objectives: Evaluation of the role of plain abdominal x-ray in diagnosing common acute abdominal conditions in children. Materials and method: Patients admitted to the children emergency room, paediatric surgical wards, children’s ward and neonatal ward who had plain abdominal x-ray as part of their diagnostic work-up were included in the study. They were studied prospectively between March 2011 and April 2021. Results: Three Hundred and Ninety-nine patients who had plain abdominal x-rays as part of their diagnostic work-up were studied. Males were 240 while females were 159, a male to female ratio of 1.5:1. The patients were aged between 1 day to 16 years. Differential diagnoses made with plain abdominal x-ray were intestinal obstruction in 298, perforated viscus 69 patients, intra-abdominal masses 13 patients and location of intra-abdominal foreign body 14. Intestinal obstruction cases in which plain abdominal x-ray played a role in their diagnosis and management included the following: intussusception 66, neonatal sepsis 60, malrotation 48, intestinal atresia 42, anorectal malformation 32, hirschsprung’s disease in 30 cases, pyloric stenosis 24, obstructed hernia 22, post-operative adhesions 16 and intestinal helminthiasis 12. Perforated viscus accounted for 69 indications. Out of these indications, perforated gut in intussusception 19, perforated typhoid ileitis was responsible in 13 cases, gut perforation in blunt abdominal trauma 8, perforation in strangulated hernia 11 cases, perforated gut in malrotation 7, ceacal perforation in hirschsprugs disease 6 and colonic perforation in necrotizing enterocolitis 5 cases. Conclusion: Plain abdominal x-ray remains a role to play in the differential diagnosis and management of common paediatric acute abdominal conditions.

Diagnostic performance of texture analysis in the differential diagnosis of perianal fistulising Crohn’s disease and glandular anal fistula

BACKGROUND Perianal fistulising Crohn's disease(PFCD)and glandular anal fistula have many similarities on conventional magnetic resonance imaging.However,many patients with PFCD show concomitant active proctitis,but only few patients with glandular anal fistula have active proctitis.AIM To explore the value of differential diagnosis of PFCD and glandular anal fistula by comparing the textural feature parameters of the rectum and anal canal in fat suppression T2-weighted imaging(FS-T2WI).METHODS Patients with rectal water sac implantation were screened from the first part of this study(48 patients with PFCD and 22 patients with glandular anal fistula).Open-source software ITK-SNAP(Version 3.6.0,http://www.itksnap.org/)was used to delineate the region of interest(ROI)of the entire rectum and anal canal wall on every axial section,and then the ROIs were input in the Analysis Kit software(version V3.0.0.R,GE Healthcare)to calculate the textural feature parameters.Textural feature parameter differences of the rectum and anal canal wall between the PFCD group vs the glandular anal fistula group were analyzed using Mann-Whitney U test.The redundant textural parameters were screened by bivariate Spearman correlation analysis,and binary logistic regression analysis was used to establish the model of textural feature parameters.Finally,diagnostic accuracy was assessed by receiver operating characteristic-area under the curve(AUC)analysis.RESULTS In all,385 textural parameters were obtained,including 37 parameters with statistically significant differences between the PFCD and glandular anal fistula groups.Then,16 texture feature parameters remained after bivariate Spearman correlation analysis,including one histogram parameter(Histogram energy);four grey level co-occurrence matrix(GLCM)parameters(GLCM energy_all direction_offset1_SD,GLCM entropy_all direction_offset4_SD,GLCM entropy_all direction_offset7_SD,and Haralick correlation_all direction_offset7_SD);four texture parameters(Correlation_all direction_offset1_SD,cluster prominence_angle 90_offset4,Inertia_all direction_offset7_SD,and cluster shade_angle 45_offset7);five grey level run-length matrix parameters(grey level nonuniformity_angle 90_offset1,grey level nonuniformity_all direction_offset4_SD,long run high grey level emphasis_all direction_offset1_SD,long run emphasis_all direction_offset4_SD,and long run high grey level emphasis_all direction_offset4_SD);and two form factor parameters(surface area and maximum 3D diameter).The AUC,sensitivity,and specificity of the model of textural feature parameters were 0.917,85.42%,and 86.36%,respectively.CONCLUSION The model of textural feature parameters showed good diagnostic performance for PFCD.The texture feature parameters of the rectum and anal canal in FS-T2WI are helpful to distinguish PFCD from glandular anal fistula.

Deep Learning-Based Stacked Auto-Encoder with Dynamic Differential Annealed Optimization for Skin Lesion Diagnosis

Intelligent diagnosis approaches with shallow architectural models play an essential role in healthcare.Deep Learning(DL)models with unsupervised learning concepts have been proposed because high-quality feature extraction and adequate labelled details significantly influence shallow models.On the other hand,skin lesionbased segregation and disintegration procedures play an essential role in earlier skin cancer detection.However,artefacts,an unclear boundary,poor contrast,and different lesion sizes make detection difficult.To address the issues in skin lesion diagnosis,this study creates the UDLS-DDOA model,an intelligent Unsupervised Deep Learning-based Stacked Auto-encoder(UDLS)optimized by Dynamic Differential Annealed Optimization(DDOA).Pre-processing,segregation,feature removal or separation,and disintegration are part of the proposed skin lesion diagnosis model.Pre-processing of skin lesion images occurs at the initial level for noise removal in the image using the Top hat filter and painting methodology.Following that,a Fuzzy C-Means(FCM)segregation procedure is performed using a Quasi-Oppositional Elephant Herd Optimization(QOEHO)algorithm.Besides,a novel feature extraction technique using the UDLS technique is applied where the parameter tuning takes place using DDOA.In the end,the disintegration procedure would be accomplished using a SoftMax(SM)classifier.The UDLS-DDOA model is tested against the International Skin Imaging Collaboration(ISIC)dataset,and the experimental results are examined using various computational attributes.The simulation results demonstrated that the UDLS-DDOA model outperformed the compared methods significantly.

Value of Texture Analysis of Intravoxel Incoherent Motion Parameters in Differential Diagnosis of Pancreatic Neuroendocrine Tumor and Pancreatic Adenocarcinoma

Objective To evaluate the value of texture features derived from intravoxel incoherent motion(IVIM) parameters for differentiating pancreatic neuroendocrine tumor(pNET) from pancreatic adenocarcinoma(PAC).Methods Eighteen patients with pNET and 32 patients with PAC were retrospectively enrolled in this study. All patients underwent diffusion-weighted imaging with 10 b values used(from 0 to 800 s/mm2). Based on IVIM model, perfusion-related parameters including perfusion fraction(f), fast component of diffusion(Dfast) and true diffusion parameter slow component of diffusion(Dslow) were calculated on a voxel-by-voxel basis and reorganized into gray-encoded parametric maps. The mean value of each IVIM parameter and texture features [Angular Second Moment(ASM), Inverse Difference Moment(IDM), Correlation, Contrast and Entropy] values of IVIM parameters were measured. Independent sample t-test or Mann-Whitney U test were performed for the betweengroup comparison of quantitative data. Regression model was established by using binary logistic regression analysis, and receiver operating characteristic(ROC) curve was plotted to evaluate the diagnostic efficiency.Results The mean f value of the pNET group were significantly higher than that of the PAC group(27.0% vs. 19.0%, P = 0.001), while the mean values of Dfast and Dslow showed no significant differences between the two groups. All texture features(ASM, IDM, Correlation, Contrast and Entropy) of each IVIM parameter showed significant differences between the pNET and PAC groups(P = 0.000-0.043). Binary logistic regression analysis showed that texture ASM of Dfast and texture Correlation of Dslow were considered as the specific imaging variables for the differential diagnosis of pNET and PAC. ROC analysis revealed that multiple texture features presented better diagnostic performance than IVIM parameters(AUC 0.849-0.899 vs. 0.526-0.776), and texture ASM of Dfast combined with Correlation of Dslow in the model of logistic regression had largest area under ROC curve for distinguishing pNET from PAC(AUC 0.934, cutoff 0.378, sensitivity 0.889, specificity 0.854). Conclusion Texture analysis of IVIM parameters could be an effective and noninvasive tool to differentiate pNET from PAC.

Multiple biomarkers of colorectal tumor in a differential diagnosis model:A quantitative study

AIM:To evaluate the multiple biomarkers of colorectal tumor and their potential usage in early diagnosis of colorectal cancers. METHODS:Multiple biomarkers (DNA contents,AgNOR, PCNA,p53,c-erbB-2) in 10 normal colorectal mucosae,37 colorectal adenomas and 55 colorectal cancers were analyzed quantitatively in the computed processing imaging system. Discrimination patterns were employed to evaluate the significance of single and multiple indices in diagnosis of colorectal cancers. RESULTS:The mean values of the analyzed parameters increased in order of the normal mucosa,adenoma and adenocarcinoma,and this tendency reflected the progression of colorectal malignancy.The parameters including DNA index,positive rates,densities of AgNOR,c-erbB-2,and p53, shape and density of nucleus were relatively valuable for diagnoses.Then a diagnostic discrimination model was established.The samples were confirmed with the model, the sensitivity rates in cancer group and adenoma group were 96.36% and 89.19%,respectively.The value of proliferating cell nuclear antigen (PCNA) in early diagnosis of colorectal cancers was uncertain. CONCLUSION:The quantitative evaluation of some parameters for colorectal tumor can provide reproducible data for differential diagnosis.The established diagnostic discrimination model may be of clinicopathological value, and can make the early diagnosis of colorectal cancer possible.

Combined Determination of CEA, Tch and ADA for Differential Diagnosis of Ascites

Objective: To study the value of combined determination of carcinoembryonic antigen (CEA), total cholesterol (Tch) and adenosine deaminase (ADA) in the differential diagnosis of ascites due to different causes. Methods: Sixty-eight cases with ascites were divided into 3 groups based on their etiology, namely malignant ascites, tubercular ascites and non-tubercular benign ascites. CEA, Tch, and ADA were measured and analyzed in different ascites. Results: CEA was significantly higher in malignant ascites than in benign ascites, the sensitivity and specificity for malignant ascites being 50% and 100% respectively. Tch is higher or equal to 1.54 mmol/L in tubercular ascites and lower or equal to 1.18 mmol/L in non-tubercular benign ascites, and Tch level in malignant ascites was frequently between that in tubercular acites and non-tubercular benign ascites. Ascitic fluid ADA activity was higher than 30 U/L in 80% of tubercular ascites, while none of non-tubercular benign ascites reached to such level. Conclusion: CEA, Tch and ADA are valuable for the diagnosis and differential diagnosis of ascitic etiology and combine measurements of these indices can increase the diagnostic efficiency.

Preoperative differential diagnosis between intrahepatic biliary cystadenoma and cystadenocarcinoma:A single-center experience

AIM: To investigate preoperative differential diagnoses made between intrahepatic biliary cystadenoma and intrahepatic biliary cystadenocarcinoma. METHODS: A retrospective analysis of patient data was performed, which included 21 cases of intrahepatic biliary cystadenoma and 25 cases of intrahepatic biliary cystadenocarcinoma diagnosed between April 2003 and April 2013 at the General Hospital of PLA. Potential patients were excluded whose diagnoses were not confirmed pathologically. Basic information (including patient age and gender), clinical manifestation, duration of symptoms, serum assay results (including tumor markers and the results of liver function tests), radiological features and pathological results were collected. All patients were followed up. RESULTS: Preoperative levels of cancer antigen 125 (12.51 +/- 9.31 vs 23.20 +/- 21.86, P < 0.05) and carbohydrate antigen 19-9 (22.56 +/- 26.30 vs 72.55 +/- 115.99, P < 0.05) were higher in the cystadenocarcinoma subgroup than in the cystadenoma subgroup. There were no statistically significant differences in age or gender between the two groups, or in pre- or post-operative levels of alanine aminotransferase, aspartate aminotransferase, total bilirubin (TBIL), and direct bilirubin (DBIL) between the two groups. However, eight of the 21 patients with cystadenoma and six of the 25 patients with cystadenocarcinoma had elevated levels of TBIL and DBIL. There were three cases in the cystadenoma subgroup and six cases in the cystadenocarcinoma subgroup with postoperative complications. CONCLUSION: Preoperative differential diagnosis relies on the integration of information, including clinical symptoms, laboratory findings and imaging results. (C) 2014 Baishideng Publishing Group Inc. All rights reserved.

Differential diagnosis of Crohn’s disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning

BACKGROUND Crohn’s disease(CD)is often misdiagnosed as intestinal tuberculosis(ITB).However,the treatment and prognosis of these two diseases are dramatically different.Therefore,it is important to develop a method to identify CD and ITB with high accuracy,specificity,and speed.AIM To develop a method to identify CD and ITB with high accuracy,specificity,and speed.METHODS A total of 72 paraffin wax-embedded tissue sections were pathologically and clinically diagnosed as CD or ITB.Paraffin wax-embedded tissue sections were attached to a metal coating and measured using attenuated total reflectance fourier transform infrared spectroscopy at mid-infrared wavelengths combined with XGBoost for differential diagnosis.RESULTS The results showed that the paraffin wax-embedded specimens of CD and ITB were significantly different in their spectral signals at 1074 cm^(-1) and 1234 cm^(-1) bands,and the differential diagnosis model based on spectral characteristics combined with machine learning showed accuracy,specificity,and sensitivity of 91.84%,92.59%,and 90.90%,respectively,for the differential diagnosis of CD and ITB.CONCLUSION Information on the mid-infrared region can reveal the different histological components of CD and ITB at the molecular level,and spectral analysis combined with machine learning to establish a diagnostic model is expected to become a new method for the differential diagnosis of CD and ITB.

Clinical Application Value of Combined Detection of CG and TBA in Differential Diagnosis of Hepatobiliary System Diseases

Objective: To understand the clinical value of combined detection of cholyglycine CG and TBA in differential diagnosis of hepatobiliary diseases. Methods: Serum samples from 50 healthy people were collected as healthy control group. According to the latest disease diagnosis and treatment plan, 58 cases of HBV asymptomatic carrier group, 17 cases of viral hepatitis group, 49 cases of cirrhosis group, 50 cases of primary liver cancer group and 50 cases of other hepatobiliary diseases groups were collected respectively. The concentration levels of cholyglycine and total bile acid in each group were detected, and the differences among each group were compared. Results: By statistical analysis, serum CG concentration in viral hepatitis group, cirrhosis group, primary liver cancer group and other hepatobiliary diseases group was significantly higher than that in asymptomatic HEPATITIS B carriers and healthy control group, the differences were statistically significant (p 0.05). There was no significant difference in CG concentration among viral hepatitis group, liver cirrhosis group, primary liver cancer group and other hepatobiliary diseases group (p > 0.05). The serum TBA levels of asymptomatic carriers, viral hepatitis group, cirrhosis group, primary liver cancer group and other hepatobiliary system diseases group were significantly higher than those of healthy control group, the difference was statistically significant, p 0.05. Conclusion: Serum CG expression can not only detect liver lesions, but also distinguish different liver lesions. The positive rate of CG combined with TBA detection in patients with hepatobiliary diseases is significantly higher than that of single CG index detection. CG combined with TBA detection can significantly improve the sensitivity and accuracy of the diagnosis of hepatobiliary diseases, which is worthy of popularization and application.

Can TCM Treatment be Performed on the Basis of Differential Diagnosis of the Diseases Instead of the Syndromes?

Great advances have been achieved in the integration of western and traditional Chinese medicine (TCM).More and more TCM physicians in their practice accept the term 'differential diagnosis of the diseases' instead of the syndromes since western medicine has been introduced into the TCM circle.

The diagnosis and differential diagnosis of granulocytic sarcoma

Objective： To discuss the diagnosis and differential diagnosis of granulocytic sarcoma （GS）. Methods： Six cases were reported in this paper. They were assessed by pathologists. Immunohistochemistry （IHC） stain and routine hematoxylin and eosin （H＆E） stain were applied. Results： All patients involved in different anatomic sites respectively including skin, lymph node, soft tissue, breast, cervix and penis. All cases were previously error diagnoses. Three of them were initially diagnosed as non-Hodgkin lymphoma （NHL）. One case of cervical lymph node lesion was first considered as metastasized carcinoma by clinician. One biopsied skin sample was initially reported as Karposi＇s sarcoma. And one breast case was suspicious of the Iobular carcinoma with the frozen samples without antecedent clinical history information. GS was accompanied with acute myeloid leukemia （AML） in one case and with acute lymphocytic leukemia （ALL） in one case. Histopathologically, blastic, immature and differentiated variants were found in four, one and one, respectively. Immunohistochemistry （IHC） showed that myeloperoxidase （MPO） and lysozyme were both found to be positive in all cases, CD43 was found in 5 of 6 cases. Three of six cases were CD68, CD15 and LCA positive. CD34 and CDl17 were positive in 1/5 and 1/6 cases, respectively. However, CD20 and CD3 were negative in all cases. Conclusion： GS was uncommon and it may be misdiagnosed easily in routine practice. Each area had its own character, but they had the common features too. It can be correctly diagnosed by combination of H＆E stain, IHC stain, peripheral blood and bone marrow. MPO and Lysozyme were necessary for the nature of granulocytes. In addition, CD43, CD68 and CD15 were very helpful.

Value of Magnetic Resonance Imaging Texture Analysis in the Differential Diagnosis of Benign and Malignant Breast Tumors

Objective To investigate the difference in texture features on diffusion weighted imaging(DWI) images between breast benign and malignant tumors.Methods Patients including 56 with mass-like breast cancer, 16 with breast fibroadenoma, and 4 with intraductal papilloma of breast treated in the Hainan Hospital of Chinese PLA General Hospital were retrospectively enrolled in this study, and allocated to the benign group(20 patients) and the malignant group(56 patients) according to the post-surgically pathological results. Texture analysis was performed on axial DWI images, and five characteristic parameters including Angular Second Moment(ASM), Contrast, Correlation, Inverse Difference Moment(IDM), and Entropy were calculated. Independent sample t-test and Mann-Whitney U test were performed for intergroup comparison. Regression model was established by using Binary Logistic regression analysis, and receiver operating characteristic curve(ROC) analysis was carried out to evaluate the diagnostic efficiency. Results The texture features ASM, Contrast, Correlation and Entropy showed significant differences between the benign and malignant breast tumor groups(PASM= 0.014, Pcontrast= 0.019, Pcorrelation= 0.010, Pentropy= 0.007). The area under the ROC curve was 0.685, 0.681, 0.754, and 0.683 respectively for the positive texture variables mentioned above, and that for the combined variables(ASM, Contrast, and Entropy) was 0.802 in the model of Logistic regression. Binary Logistic regression analysis demonstrated that ASM, Contrast and Entropy were considered as thespecific imaging variables for the differential diagnosis of breast benign and malignant tumors.Conclusion The texture analysis of DWI may be a simple and effective tool in the differential diagnosis between breast benign and malignant tumors.

The Diagnosis and Differential Diagnosis of Ureteral Fibroepithelial Polyps

OBJECTIVE To study the clinical pathologic characteristics and differential diagnosis of ureteral fibroepithelial polyps. METHODS One case of ureteral fibroepithelial polyps was studied by clinical data analysis and light microscopy. RESULTS The tumor was located in the lower ureter. Histologically, the polyp was composed of expanded blood vessels and fibrous connective tissue under normal or proliferous transitional epithelium. CONCLUSION Benign ureteral fibroepithelial polyps are extremely rare, recognition of it's precise histological features can facilitate its correct diagnosis.

Radiation and Differential Diagnosis of Computed Tomography (CT) Data for Coronavirus Infection “COVID-19” with Clinical Examples

This article is presenting data from a retrospective analysis of medical records and computed tomography (CT) scans of patients’ chests with coronavirus infection “COVID-19” who applied to the diagnostic center of URFA in Osh during the first wave of the pandemic in the Kyrgyz Republic, with a description of individual clinical cases and their differential diagnosis. Chest computed tomography is one of the main methods in visual diagnosis of pneumonia in COVID-19 in hospitalized patients, which allows determining signs, symptoms for effective treatment.