Background: lung function is closely related to anthropometric variables. Anegative relationship between different adiposity markers and lung function has been well established.

Vitamin K-dependent protein (VKDP) contributes to the development of lung cancer. The purpose of this research was to better understanding of the role of blood matrix Gla protein (MGP), VKDPs, Malondialdehyde (MDA), Superoxide dismutase (SOD) and Vitamin K (Vit K) in Iraqi patients with lung cancer before and after the first cycle of chemotherapy. Blood samples were collected from Al amal National Hospital for cancer treatment from October 2021 to May 2022, and a total of 80 samples were collected, divided into two groups (40 patient before taking a chemotherapy and 40 patients after taking chemotherapy), ranging in age from 20 to 45 years old. The results showed that although there were highly statistically significant differences in MD

Background: Pulmonary masses represent a great challenge for diagnosis. Fine Needle Aspiration Cytology (FNAC) is one of the diagnostic methods which was used since long time.
Objectives: To concern on Fine Needle Aspiration Cytology of pulmonary masses regarding benefits, precautions and patient’s preparation to avoid possible complications.
Patients and Methods: A prospective study is carried out from December 2008 to July 2015 on 45 patients presented with pulmonary masses to the Department of the thoracic and vascular surgery at Al-Yarmook teaching hospital and from the private sector. A Fine Needle Aspiration Cytology was done for them under local anesthesia as an outpatient procedure.
Results: 40 patients (88.9%) got acc

Background: Lung cancer is a disease in which cells in the lung grow out of control and may spread to lymph nodes or other organs in the body such as the brain. Cancer from other organs also may spread to the lungs. The chance that a man will develop lung cancer in his lifetime is about 1 in 15; for a woman, the risk is about 1 in 17. These numbers include both people who smoke and those who don't smoke. Worldwide; prevalence of the lung cancer was decreased in the last decade.

Objectives: To determine the prevalence of lung cancer in Al Nagaf Governorate during 2019 and 2020

Patients and Methods:

A Registry-based cross sectional study was conduct

Lung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden layers and parameters in CNN models. The proposed model was trained on 1000 CT Scan Images of cancerous and non-c

Objective: To evaluate knowledge towards smoking and its relationship with lung cancer among members of
Baghdad Nursing College.
Methodology: The study comprised 100 affiliates from the College of Nursing/ University of Baghdad that
included students, teaching staff and employees. All data was collected through a structured questionnaire
prepared by the National Cancer Research Center which were answered during a scientific symposium
organized by the center on lung Cancer Awareness in March 2016.The data were analyzed by using the SPSS,
version 22
Results: The age of the respondents ranged from (19-64 years); 76% were females and only 4% were smokers.
The results showed that the mean score for the level of knowled

Background: The number of coronavirus infection cases has increased rapidly since early reports in the December 2019 in China. But data on the clinical features of infected peoples is variable from one country to the other.

Objective: Studying clinical features of patients with a positive RT PCR COVID – 19, in a group of Iraqi patients.

Results: The study included 200 patients with 133 (66.5%) males and 67 (33.5%) females, and age range of 14- 89 years, with mean age 46.4 years. A history of contact with a COVID -19 positive case was found in 80 patients (40%), Ischemic Heart Disease in 11 patients (5.5%), hypertension 34 (17%), diabetes mellitus 36 patients (18%). The

Background: Duplex ultrasound is inexpensive, non-invasive and can provide functional and anatomical information about vessel stenosis and plaque morphology. Color duplex flow ultrasonography has thus become the most widely used noninvasive method of assessing extra cranial cerebrovascular occlusive disease.
Objectives:To find the relation of the severity of carotid artery stenosis, intima media thickness, and atheromatous plaque morphology with the size of cerebral infarction.
Patients and Methods: A prospective study, conducted from September 2010 to May 2011, in Department of Radiology in Baghdad Teaching Hospital. A total of 62 Patients with clinical & radiological (brain CT) diagnosis of acute stroke, (42 males & 20 fe

Background: Diabetes is a serious risk factor for atherosclerotic cardiovascular disease and an important cause of mortality. Dyslipidemia is commonly related to type 2 diabetes, and the atherogenic index of plasma is a strong marker to predict the risk of atherosclerosis and coronary heart disease.

Objective: To study the association of atherogenic indices lipids in type 2 diabetic Iraqi patients with cardiovascular disease.

Patients and Methods: This clinical study was conducted at Baghdad Teaching Hospital/ Medical City-Baghdad from October 2022 to February 2023. Sixty type 2 diabetic patients were recruited for this study: 30 patients with cardiovascular disease and 30

Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a