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Evaluation of the efficacy of ultrasound in the diagnosis of cervical lymphadenopathy
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Background: Cervical lymph nodes are prone to involved by a number of pathologic processes. They are common sites for lymphoma, metastasis, and reactive enlargement in a number of conditions. Aims of the study:-Clinical evaluation of patients with cervical lymphadenopathy. Differentiation between benign and malignant lymph nodes by means of ultra sounds (US) and Correlate the US findings with cytological and/or histopathological findings of cervical lymph nodes. Subjects, Materials and Methods:-The present study was carried out over a period of 6 months and included 81 patients of different age groups presenting with cervical lymphadenopathy. Each patient was examined clinically, then comprehensive sonographic examination of the neck for cervical lymph nodes (L.Ns) was performed using ultrasound machine (GE Wipro Proseries). The scanning was performed with the patient in the supine position, and with the neck hyperextended using a pad or pillow under the shoulders in order to provide optimum exposure of the neck. The parameters considered in this study include: site, long axis (L), short axis (S), shape index (S/L), echotexture, margins, ancillary features like calcification, necrosis, matting and surrounding tissue changes. These findings were correlated with fine-needle aspiration cytology, core and excisional biopsy. The nodes were classified as benign (reactive) and malignant (lymphomatous and metastatic). Results: The age of patients ranged from five to seventy five years, they were 45 male and 36 females, there was association between family history and development of malignant lesions. Regarding clinical evaluation, and according to consistency, (13) hard L.Ns were malignant and (1) was benign, (27) rubbery L.Ns were malignant and 40 soft L.Ns were benign. According to fixation to underlying structure, forty one L.Ns were fixed, (40) were malignant and (1) was benign. Forty L. Ns were not fixed, on histopathological evaluation all were benign. On US, the results showed that malignant lymph nodes are mostly appeared as round shape, homogenous echotexture, nodal shape (S/L ratio) accurate for differentiating benign from malignant lymph nodes. Most of the malignant nodes had well-defined borders. Calcifications, necrosis, matting, were characteristically found in benign lymph node. A combined ultrasound-guided and fine-needle aspiration (FNA) diagnosis had a high accuracy as compared with situations in which they were used alone. Conclusions: Sonographic findings have a high accuracy in differentiating benign from malignant cervical lymph nodes. An ultrasound scan can be used as the first-line imaging tool in the diagnostic evaluation of cervical lymphadenopathy. Using gray scale features are particularly useful to identify the causes of cervical lymphadenopathy.

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Publication Date
Sat Apr 16 2022
Journal Name
Pakistan Journal Of Medical And Health Science
Evaluation the effect of Bacteriophage against Pseudomonas aeruginosa isolated from wounds and burns infections.
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Publication Date
Wed Oct 17 2018
Journal Name
Journal Of Economics And Administrative Sciences
Impact of evaluation of investment projects in achieving competitive strategy
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The aim of the research is to determine the impact of evaluation of investment projects after the preparation of investment budgets taking into consideration within the investment budgets the concept of competitive strategy, as the harmony between the preparation of investment budgets and competitive strategy will contribute to the success of economic unity and achieve profits well and achieve a competitive advantage. Strategies for economic units because the most important factor to them is the costs produced and the progress of the research problem is focused on "Is it possible to include a strategy of competition, especially within the investment budget when prepared The study concluded that the investment plan prepared by the

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Publication Date
Fri Mar 01 2013
Journal Name
Journal Of Economics And Administrative Sciences
An empirical Evaluation of the effect of service encounter on customer voluntary behavior: Exploration study of (TBI) customers
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Purpose: To determine the impact of service encounter in stimulating voluntary customer behaviors.

  • Approach / methodology: It was selected a sample of customers Bank Iraqi Trade (TBI) was (105) individual, using a questionnaire designed in the light of previous studies, was drafted scale and tested in the light of a group of statistical methods developed (reliability coefficient, reliability coefficient composite, convergence). Then test hypotheses through structural equation modeling.
  • Results: The behaviors and characteristics of the service provider in effect urged bank customers to perform voluntary extra, as the service environment service encounter

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Publication Date
Fri Oct 23 2026
Journal Name
Journal Of Baghdad College Of Dentistry
Histological evaluation of the effect of topical application of Curcumin powder and essential oil on skin wound healing
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Background: Herbal medicine can be called one of the branches of medicine in various forms. Turmericcurcumin has proved its efficiencies a coloring, flavoring agent and has been traditionally used in medicine, exhibiting remarkable anti-inflammatory and antioxidant properties. The varied biological properties of curcumin and lack of toxicity even when administered at higher doses makes it attractive to explore its use in various disorders like diseases of skin. It is good potential agent for wound healing. Materials and methods: Sixty four new Zealand rabbits were used in this study ,they were divided into four groups,each group was subdivided as follows:Experimental groups(8 rabbits) right facial side of animals for essential oil applicati

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Publication Date
Sun Jun 01 2025
Journal Name
Journal Of University Of Anbar For Pure Science
SARS-CoV-2 history, diagnosis, genetic diversity and treatment: a comprehensive review
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Publication Date
Sat Dec 04 2021
Journal Name
Ournal Of Global Trends In Pharmaceutical Sciences
REVIEW ARTICLE: COVID – 19: INFECTION, ORIGIN, TRANSMISSION, DIAGNOSIS, TESTS AND TREATMENT OPTIONS
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Publication Date
Sun Dec 31 2023
Journal Name
Sumer Journal For Pure Science
COVID-19Disease Diagnosis using Artificial Intelligence based on Gene Expression: A Review
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Publication Date
Sun Jun 01 2025
Journal Name
Journal Of University Of Anbar For Pure Science
SARS-CoV-2 history, diagnosis, genetic diversity and treatment: a comprehensive review
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This article comprehensively examines the history, diagnosis, genetics, diversity, and treatment of SARS-CoV-2. It details the emergence of coronaviruses over the past 50 years, including the coronavirus from 2019 and its subsequent mutations, along with updated information about this virus. This review explains the development and nomenclature of coronaviruses, their cellular invasion through glycoprotein spikes binding to ACE-2 receptors, and the mechanism of cell entry via endocytosis. Diagnosis methods for COVID-19, including nucleic acid amplification, serology, and imaging techniques like chest X-ray and CT scan tests, are discussed. Treatment approaches for COVID-19 are outlined, emphasizing healthcare, antiviral medications like Rem

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Publication Date
Tue Feb 06 2018
Journal Name
International Journal Of Gynecology And Obstetrics
FIGO consensus guidelines on placenta accreta spectrum disorders: Prenatal diagnosis and screening
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Recent population studies have shown that placenta accreta spectrum (PAS) disorders remain undiagnosed before delivery in half to two-thirds of cases. In a series from specialist diagnostic units in the USA, around one-third of cases of PAS disorders were not diagnosed during pregnancy. Maternal

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Publication Date
Mon Nov 21 2022
Journal Name
Sensors
Deep Learning-Based Computer-Aided Diagnosis (CAD): Applications for Medical Image Datasets
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Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for diagnostic prediction over the years. This article focuses on the development of an automated CAD system with the intent to perform diagnosis as accurately as possible. Deep learning methods have been able to produce impressive results on medical image datasets. This study employs deep learning methods in conjunction with meta-heuristic algorithms and supervised machine-learning algorithms to perform an accurate diagnosis. Pre-trained convolutional neural networks (CNNs) or auto-encoder are used for feature extraction, whereas feature selection is performed using an ant colony optimization (ACO) algorithm. Ant colony optimization helps to search for the bes

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