Abstract

Objectives: Behçet's disease is a systemic chronic proinflammatory vascular disease .this study wants to describe more details of patients with Behçet’s disease in iraq.

Methods: Any patient with suspected or diagnosed  Behçet’s  disease attending centre of dermatology/behjet unit , 2017-  2018.

A total 47 patients ,Full history and examination were taken.

Percentage of complains were calculated.

Results: 37 were females and 10 were males , Age of patients ranged from (11-63) years.Pethargy test was negative in 13 patients , positive in 15 ,21 had negative family history and 9 had positive .

They complain from Malaise , oral ulcer, genital ulcer, unexplai

Background: To elucidate distinctive CT imaging features that allows a diagnosis of hepatic hydatidosis.
Patients and methods : The computed tomographic (CT) findings of 58 patients with sonographically detected cystic liver lesions were prospectively analyzed. These patients were
followed up until a final diagnosis was reached.
Results : By CT scanning we correctly localized and diagnosed 81 hepatic hydatid cysts in 50 patients. These were all proved by surgery or endoscopic retrograde cholangio-pancreatography (ERCP). Stage III and II hydatid cysts were the commonest types (29 % and 25 % respectively ). 52 % of the cysts were 5-10 cm at presentation. At CT, we identified some ancillary imaging fea

Background: celiac disease, is an autoimmune inflammatory disease of the small intestine that is precipitated by the ingestion of gluten, a component of wheat protein, in genetically susceptible persons. Serologic tests for antibodies against Endomysium, Reticulin, and Gliadin identify most patients with the disease. Early diagnosis and management are important to forestall serious consequences of malabsorption, such as osteoporosis and anemia
Aims of the study: This study compared the sensitivity, specificity, and predictive value of, anti-reticulin and anti-gliadin antibodies according to anti endomysium antibodies , in consecutive patients investigated for celiac disease antibodies.
Patient& Methods: Total 509 patients (236

Background: Echinococcus granulosus is a one major species of medical and public health importance which causes cystic echinococcosis.Hydatid disease is able to modulate antiparasite immune responses, persist and flourish in humans.
Objective: The main objective of this study is to diagnostic value for hydatidosis and to identify the prevalence in human in two different areas of Baghdad city which include urban and rural areas. Evaluating hydatid fluid antigen and hydatid cyst wall antigen for diagnosis of cystic echinococcosis(CE). preparation ELISA kit for detecting specific antibodies in patients and relative sera is considered as an important step in determining the recurrent case after surgical opera

    Periodontal diseases such as gingivitis and periodontitis are considered common diseases. This study is aimed to predicate these diseases using non-harmful specimens such as saliva throughout the detection of some parameters. In the beginning, a random 51 patients' saliva was collected from outpatients who suffered from different degrees of periodontal diseases. Concurrently, another 40 people who appeared to be healthy were collected, and both patients and healthy people were subjected to a questionnaire form and diagnosed by a specialist dentist. The results of this study revealed that there is no significant difference between males and females in infection with periodontal diseases. As well, smoking is not acting as the main f

Toxoplasmosis is an infection caused by Toxoplasma gondii that leads to abortion or hydrocephalus during pregnancy.One hundered and twenty two aborted women were selected for this study. Serum samples were collected form Al-Kadhmia and Kamal Al-Samari Hospitals,and laboratories around Baghdad, and tested for specific IgG and IgM anti-toxoplasma antibodies to confirm toxoplasmosis in those women by using ELISA test.The result recorded that 51(41.8%) women had antibodies against Toxoplasma gondii, 25(59.5%) women were positive for IgG, and 17(40.5%) women were positive forIgM, while 9(17.6%)women were positive for both.

—Medical images have recently played a significant role in the diagnosis and detection of various diseases. Medical imaging can provide a means of direct visualization to observe through the human body and notice the small anatomical change and biological processes associated by different biological and physical parameters. To achieve a more accurate and reliable diagnosis, nowadays, varieties of computer aided detection (CAD) and computer-aided diagnosis (CADx) approaches have been established to help interpretation of the medical images. The CAD has become among the many major research subjects in diagnostic radiology and medical imaging. In this work we study the improvement in accuracy of detection of CAD system when comb

Solar energy is one of the immeasurable renewable energy in power generation for a green, clean and healthier environment. The silicon-layer solar panels absorb sun energy and converts it into electricity by off-grid inverter. Electricity is transferred either from this inverter or from transformer, consumed by consumption unit(s) available for residential or economic purposes. The artificial neural network is the foundation of artificial intelligence and solves many complex problems which are difficult by statistical methods or by humans. In view of this, the purpose of this work is to assess the performance of the Solar - Transformer - Consumption (STC) system. The system may be in complete breakdown situation due to failure of both so

    Alzheimer’s Disease (AD) is the most prevailing type of dementia. The prevalence of AD is estimated to be around 5% after 65 years old and is staggering 30% for more than 85 years old in developed countries. AD destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. The findings of this study are likely to aid specialists in their decision-making process by using patients’ Magnetic Resonance Imaging (MRI) to distinguish patients with AD from Normal Control (NC). Performance evolution was applied to 346 Magnetic Resonance images from the Alzheimer's Neuroimaging Initiative (ADNI) collection. The Deep Belief Network (DBN) classifier was used to fulfill classification f

This paper proposes improving the structure of the neural controller based on the identification model for nonlinear systems. The goal of this work is to employ the structure of the Modified Elman Neural Network (MENN) model into the NARMA-L2 structure instead of Multi-Layer Perceptron (MLP) model in order to construct a new hybrid neural structure that can be used as an identifier model and a nonlinear controller for the SISO linear or nonlinear systems. Two learning algorithms are used to adjust the parameters weight of the hybrid neural structure with its serial-parallel configuration; the first one is supervised learning algorithm based Back Propagation Algorithm (BPA) and the second one is an intelligent algorithm n