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Barriers to Baseline Needs for Early Detection of Breast Cancer among Iraqi Female Patients
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Background: Breast Cancer is the most common malignancy among the Iraqi population; the majority of cases are still diagnosed at advanced stages with poor prospects of cure. Early detection through promoting public awareness is one of the promising tools in its control. Objectives: To evaluate the baseline needs for breast cancer awareness in Iraq through exploring level of knowledge, beliefs and behavior towards the disease and highlighting barriers to screening among a sample of Iraqi women complaining of breast cancer. Methodology: Two-hundred samples were enrolled in this study; gathered from the National Cancer Research Center of Baghdad University and the Oncology Teaching Hospital of the Medical City throughout the year 2015. The study population comprised two groups: the first included 100 female patients who were receiving treatment for breast cancer (Group A), while another 100 randomly selected apparently healthy women served as Control (Group B). Those were asked to complete a structured questionnaire which was designed to explore the level of knowledge, beliefs, behavior towards breast cancer and the barriers to early diagnosis. The studied variables included the socio demographic and clinical data, women needs and beliefs regarding breast health and cancer care, and the barriers to screening. Results: Ninety percent of patients with breast cancer in Group I recorded a minimum score of Good; they have answered confidently that the disease is common among women, can be curable when detected at early stages and is not contagious. They also display a significantly higher attitude regarding performing BSE, receiving routine CBE check up and having the courage to be informed about the diagnosis of cancer. Although both groups believe that early detection of cancer should be promoted culturally, Group I displayed a stronger reaction to place this approach as a priority in the community. Overall, both groups do not believe that the disease is usually fatal, could bring disgrace to the family leading to divorce, and did not consider mammography as an embarrassing procedure against religious beliefs. Nevertheless, the majority refuse to be examined by a male doctor and to undergo screening mammography if they have no complaints. Recommendations: Feasible strategies should be more promptly adopted to overcome barriers to early detection of breast cancer among the Iraqi patients; focusing on promoting public health education and ensuring the availability of accessible well equipped diagnostic facilities.

 
 

 

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Publication Date
Thu Sep 15 2022
Journal Name
Bionatura
Assessment of lipid profile with HbA1c in type 2 diabetic Iraqi patients
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Insulin-induced hyperglycemia is the hallmark of diabetes mellitus (DM), including various metabolic disorders. Diabetic people are more likely to develop dyslipidemia, hypertension, and obesity. Type 2 diabetes ‎(T2DM), the most common illness, is generally asymptomatic in its early stages and can go misdiagnosed for years. Diabetes screening may be beneficial in some cases since early identification and treatment can lessen the burden of diabetes and its consequences.‎ This study aimed to find the relationship between Glycated hemoglobin (HbA1c) ‎and lipid profile components in T2DM‎ patients. This descriptive-analytical and cross-sectional study was performed on the control group and T2DM patients in ‎Medical City in Ba

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Publication Date
Wed Jun 16 2021
Journal Name
Cognitive Computation
Deep Transfer Learning for Improved Detection of Keratoconus using Corneal Topographic Maps
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Abstract <p>Clinical keratoconus (KCN) detection is a challenging and time-consuming task. In the diagnosis process, ophthalmologists must revise demographic and clinical ophthalmic examinations. The latter include slit-lamb, corneal topographic maps, and Pentacam indices (PI). We propose an Ensemble of Deep Transfer Learning (EDTL) based on corneal topographic maps. We consider four pretrained networks, SqueezeNet (SqN), AlexNet (AN), ShuffleNet (SfN), and MobileNet-v2 (MN), and fine-tune them on a dataset of KCN and normal cases, each including four topographic maps. We also consider a PI classifier. Then, our EDTL method combines the output probabilities of each of the five classifiers to obtain a decision b</p> ... Show More
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Publication Date
Wed Jun 28 2023
Journal Name
The Iraqi Journal Of Veterinary Medicine
Haemoglobin Epsilon as a Biomarker for the Molecular Detection of Canine ‎Lymphoma
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Lymphoma is a cancer arising from B or T lymphocytes that are central immune system ‎components. It is one of the three most common cancers encountered in the canine; ‎lymphoma affects middle-aged to older dogs and usually stems from lymphatic tissues, ‎such as lymph nodes, lymphoid tissue, or spleen. Despite the advance in the management of ‎canine lymphoma, a better understanding of the subtype and tumor aggressiveness is still ‎crucial for improved clinical diagnosis to differentiate malignancy from hyperplastic ‎conditions and to improve decision-making around treating and what treatment type to use. ‎This study aimed to evaluate a potential novel biomarker related to iron metabolism,

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Publication Date
Thu Jan 30 2020
Journal Name
Al-kindy College Medical Journal
Comparison between the Patterns of Common Breast Diseases Presenting as Breast Lumps in Pregnant and Non-Pregnant Married Women
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Background: Breast lump is one of the most common prevalent complaint of patients attending breast clinics.

Objective: To determine if there is any change in the pattern of common breast, diseases presenting as breast lumps between pregnant and non-pregnant women among patients attending Al-Elwiya Breast Clinic.

Methods: This is a cross – sectional study, with convent's patient sampling setting in AL-Elwiya Breast Cancer Early Detection Clinic from 1st Feb. to 1st May 2018, we collected data from patients with breast lumps including the age groups, pregnancy status, parity status, previous breast diseases, hormonal drugs, menstrual cycle, breast fe

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Publication Date
Thu Mar 28 2024
Journal Name
Nigerian Journal Of Parasitology
Evaluation of hormones and other biochemical parameters among chronic liver disease patients infected with Toxoplasma gondii
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This study was conducted in Baghdad, Iraq from December 2021 to May 2022. The goal was to determine the effect of Toxoplasma gondii on liver function by examining the relationship between Toxoplasma infection and hormones. One hundred and twenty male patients with Chronic liver disease (CLD) (age:14-75 years) and 120 control males (age: 24-70 years) participated in this study. Serum samples were taken from all individuals and were then analysed for anti-Toxoplasma antibodies. Hormonal tests were conducted for all participants which included (Cortisol, testosterone, prolactin, insulin, and thyroid-stimulating hormone TSH). Biochemical tests included (Prothrombin time PT, international normalized ratio INR and albumin); liver enzymes

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Publication Date
Sat Oct 01 2022
Journal Name
Journal Of Medicine And Life
The effect of COVID-19 on emergencies and pain among orthodontic patients attending a teaching hospital
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This study aimed to evaluate the effect of the COVID-19 outbreak on emergencies and pain among orthodontic patients attending a teaching hospital. The study was conducted among orthodontic patients receiving active orthodontic treatment or in a retention period at the College of Dentistry, University of Baghdad, Iraq. Their participation was voluntary, and they filled out an Arabic-translated questionnaire. The survey included general information, orthodontic problems, and a numerical rating scale for pain assessment. We used descriptive and inferential statistics (frequencies and intersecting frequencies), chi-square test and linear regression. Out of 75 orthodontic patients, only 54 (15 males and 39 females) were included in the s

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Publication Date
Sun Dec 01 2024
Journal Name
The Medical Journal Of Tikrit University
ChemiluminescenceMicroparticle Immunoassay in the Diagnosis of Hepatitis C Virus among Patients on Hemodialysis: A Comparative Study
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Browse Iraqi academic journals and research papers

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Publication Date
Mon Feb 21 2022
Journal Name
Iraqi Journal For Computer Science And Mathematics
Fuzzy C means Based Evaluation Algorithms For Cancer Gene Expression Data Clustering
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The influx of data in bioinformatics is primarily in the form of DNA, RNA, and protein sequences. This condition places a significant burden on scientists and computers. Some genomics studies depend on clustering techniques to group similarly expressed genes into one cluster. Clustering is a type of unsupervised learning that can be used to divide unknown cluster data into clusters. The k-means and fuzzy c-means (FCM) algorithms are examples of algorithms that can be used for clustering. Consequently, clustering is a common approach that divides an input space into several homogeneous zones; it can be achieved using a variety of algorithms. This study used three models to cluster a brain tumor dataset. The first model uses FCM, whic

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Publication Date
Fri Sep 01 2023
Journal Name
Cureus
The Evaluation of Dihydropyrimidine Dehydrogenase Enzyme Level in the Serum of Colorectal Cancer Iraqi Males on Fluoropyrimidine-Based Chemotherapy (Capecitabine)
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Publication Date
Tue Dec 31 2019
Journal Name
Arab Science Heritage Journal
تصاميم التصاميم الأساسية لجامعة بغداد وتطورها حتى عام 20
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This study is about the basic designs of Baghdad university from its beginning until 2018 . it takes care of Baghdad university projects as it was separated building until to built more ones collected under one organization ,the project of Baghdad university started from 1959 and considered as rare one that designed as modern according to world measurements

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