Breast cancer constitutes about one fourth of the registered cancer cases among the Iraqi population (1)
and it is the leading cause of death among Iraqi women (2)
. Each year more women are exposed to the vicious
ramifications of this disease which include death if left unmanaged or the negative sequels that they would
experience, cosmetically and psychologically, after exposure to radical mastectomy.
The World Health Organization (WHO) documented that early detection and screening, when coped
with adequate therapy, could offer a reduction in breast cancer mortality; displaying that the low survival rates
in less developed countries, including Iraq, is mainly attributed to the lack of early detection programs coupled
with inadequate diagnostic and treatment facilities (3)
. Although mammography machines, as main screening
tools for breast cancer, are available in the major hospitals in each province in Iraq, yet those are mainly used
for diagnostic purposes in patients who present with palpable breast lumps. Obviously, due to cost effective
measures, lack of resources and the economical challenges that Iraq is facing, it is not expected that the
authorities could provide mammography devices across every health care centre in the country to be used for
screening of all Iraqi women.
Accordingly, promoting other feasible tools could support in solving that dilemma. Clinical Breast
Examination (CBE) for women, by highly trained health care providers in Primary Health Care Centers, along
with diagnostic mammography in the major hospitals for referred cases, could offer cost effective approaches
for early detection of breast cancer in Iraq. The resources required to provide these services are within the
reach of all countries with limited resources
(4)
.
The issue of raising awareness on breast cancer and its early detection measures needs to be addressed.
Observations reported in Iraqi studies obviously reflect the the limited knowledge of the general population
about the disease, its preventive measures and their ignorance regarding the significance of CBE and early
medical consultation (5, 6)
. Public health awareness campaigns should be endorsed by policy makers to encourage every Iraqi women to look for abnormal signs and symptoms in their breasts and to seek medical
advice promptly.
Letrozole (LZL) is a non-steroidal competitive aromatase enzyme system inhibitor. The aim of this study is to improve the permeation of LZL through the skin by preparing as nanoemulsion using various numbers of oils, surfactants and co-surfactant with deionized water. Based on solubility studies, mixtures of oleic acid oil and tween 80/ transcutol p as surfactant/co-surfactant (Smix) in different percentages were used to prepare nanoemulsions (NS). Therefore, 9 formulae of (o/w) LZL NS were formulated, then pseudo-ternary phase diagram was used as a useful tool to evaluate the NS domain at Smix ratios: 1:1, 2:1 and 3:1.
(6)
(4)
To determine the evaluation of education program on women's knowledge regarding managing BSE. The present quasi- experimental study, Non-probability (purposive), sample consisting of (260) women who are employee, and students in both colleges (Nursing college, Medical and Health Techniques College). The sample consist of two groups, study group (130) including those in (Nursing college), and control group (130) in (Medical and Health Techniques College). A questionnaire was constructed which included, Demographic information, Reproductive information, Family history, Previous medical history, and information about women's knowledge toward management of breast self examination (BSE). Instrument validity and reliability was determined. Data w
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Breast cancer is the second deadliest disease infected women worldwide. For this
reason the early detection is one of the most essential stop to overcomeit dependingon
automatic devices like artificial intelligent. Medical applications of machine learning
algorithmsare mostly based on their ability to handle classification problems,
including classifications of illnesses or to estimate prognosis. Before machine
learningis applied for diagnosis, it must be trained first. The research methodology
which isdetermines differentofmachine learning algorithms,such as Random tree,
ID3, CART, SMO, C4.5 and Naive Bayesto finds the best training algorithm result.
The contribution of this research is test the data set with mis
Obesity and cancer are two major epidemics of this century. Obesity is related to a higher risk of many types of cancer. Studies have accessed circulating adipokines, as key-mediators in obesity and breast cancer. The study is aimed to examine the circulating levels of insulin-like growth factor-1, leptin, adiponectin, and resistin in premenopausal Iraqi women with breast cancer. The current study was performed during the period from June 2019 to December 2019 at Oncology unit/ Medical City Hospital-Baghdad. A total of 90 premenopausal women with BC/ stage II and III after 2nd dose of chemotherapy were contributed in this study as patients group. Their ages ranged from (35- 50) years in addition to 90 premenopausal healthy women wer
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(4)
(4)
Abstract Background:Breast cancer is the most common female cancer worldwide. Although mastectomy is considered the treatment of choice for the majority of cases of breast cancer; a noticeable percentage of breast cancer survivors claim they were never advised about reconstruction. It has been proven that breast reconstruction helps breast cancer survivors to overcome the trauma of their diagnosis and improve their psychological well-being.Objectives: To assess the level of awareness and expectations regarding breast reconstruction surgery among female with breast cancer survivors in Baghdad, and to find if there is association between sociodemographic data and expectations of breast reconstruction.Methodology: This is a cross sectional stu
... Show MoreThe biomarker significance of three chemokines (CXCL8, CXCL10 and CXCL16) was evaluated in sera of 45 breast cancer (BC) and 28 benign breast lesion (BBL) patients, as well as 20 control women. Clinical stage and tumor expression of estrogen (ER), progesterone (PgR) and human epidermal growth factor receptor-2 (HER-2) receptors were considered in this evaluation. The results demonstrated that CXCL8, CXCL10 and CXCL16 showed a significant increased median in BC and BBL patients compared to control (CXCL8: 47.3 and 25.7 vs. 15.0; CXCL10: 37.6 and 30.7 vs. 13.1; CXCL16; 27.9 and 25.2 vs. 19.2 pg/ml, respectively). The increased levels of CXCL8 and CXCL16 were more pronounced in triple-negative and HER-2 positive p
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(4)
(2)
Background: Toll-like receptor -2 (TLR-2)play important roles in tumor biology; by activation and promotion of tumor cell proliferation, resistance to apoptosis andalso, enhancement of tumor cell invasion and metastasis by regulating metalloproteinase and integrin’s.As toll-like receptors are widely expressed on tumor cells and participatein the initiation and progression of cancer, they may thus serve an important target and have an effective perspective on breast cancer treatment.
Objectives:The aims of the present study was to determine the levels of TLR-2 in the sera of healthy people and patients with benign and malignant breast tumors and also to investigate the validity of using TLR-2 as specific diagnostic markers of breast
Background: Breast Lump Is The Second Most Common Presenting Symptom, After Breast Pain, To The Breast Clinic. Tru-Cut Needle Biopsy Provides Enough Tissue For Histopathological Diagnosis And Is Considered A Reliable Method For Establishing Preoperative Tissue Diagnosis.
Objectives: To Compare The Results Of Fine Needle Aspiration Cytology (FNAC), Tru-Cut Needle Biopsy With Excisional Biopsy In Detecting Breast Cancer In Palpable Breast Masses.
Results: This Study Shows That Tru-Cut Needle Biopsy Is Superior To FNAC In Confirming Breast Cancer In Palpable Breast Masses With Suspicion Of Malignancy And It Can Give Definitive Histopathological Diagnosis Of The Lesion With L
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Breast cancer was one of the most common reasons for death among the women in the world. Limited awareness of the seriousness of this disease, shortage number of specialists in hospitals and waiting the diagnostic for a long period time that might increase the probability of expansion the injury cases. Consequently, various machine learning techniques have been formulated to decrease the time taken of decision making for diagnoses the breast cancer and that might minimize the mortality rate. The proposed system consists of two phases. Firstly, data pre-processing (data cleaning, selection) of the data mining are used in the breast cancer dataset taken from the University of California, Irvine machine learning repository in this stage we
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The aim of this research is to determine the most important and main factors that lead to Preeclampsia. It is also about finding suitable solutions to eradicate these factors and avoid them in order to prevent getting Preeclampsia. To achieve this, a case study sample of (40) patients from Medical City - Oncology Teaching Hospital was used to collect data by a questionnaire which contained (17) reasons to be investigated. The statistical package (SPSS) was used to compare the results of the data analysis through two methods (Radial Bases Function Network) and (Factorial Analysis). Important results were obtained, the two methods determined the same factors that could represent the direct reason which causes Preecla
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