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 were designated as a control group. There was a substantial rise (p < 0.05) in fasting serum glucose, total serum cholesterol, triacylglycerol, low-density lipoprotein cholesterol, CA15-3, insulin-like growth factor-1, leptin, leptin/adiponectin ratio, and resistin. While there was a substantial decrease (p= 0.01) in serum adiponectin in patients as paralleled to healthy. There was a considerable rise (p ≤ 0.05) in serum insulin-like growth factor-1, leptin, and resistin, while there was a reduced in serum adiponectin in obese patients as paralleled to overweight, but it was not significant. Additionally, circulating levels of insulin-like growth factor-1, leptin, and resistin were significantly increased (p= 0.001) in patients who had tumour size > 5 cm paralleled to those with tumour size 2-5 cm.Higher levels of serum leptin, resistin, and leptin to adiponectin ratio are related to improved breast cancer risk in Iraqi women. The clinical and pathological features of the tumour recommended that these adipokines might affect the development of breast cancer. Thus adipokines, in complicated and interrelated mechanisms, maybe drive breast cancer instigation and progression.
The growth of developments in machine learning, the image processing methods along with availability of the medical imaging data are taking a big increase in the utilization of machine learning strategies in the medical area. The utilization of neural networks, mainly, in recent days, the convolutional neural networks (CNN), have powerful descriptors for computer added diagnosis systems. Even so, there are several issues when work with medical images in which many of medical images possess a low-quality noise-to-signal (NSR) ratio compared to scenes obtained with a digital camera, that generally qualified a confusingly low spatial resolution and tends to make the contrast between different tissues of body are very low and it difficult to co
... Show MoreThis study is concerned with the recent changes that occurred in the last three years (2017-2019) in the marshes region in southern Iraq as a result of the changes in the global climate, the study included all the water bodies in the five governorates that are located in the southern regions of Iraq (Wasit, Maysan, Dhi-Qar, Qadisiyah and Basrah), which represent the marshes lands in Iraq. Scenes of the Landsat 8 satellite are used to create a mosaic to cover the five governorates within a time window with the slightest difference between the date of the scene capture, not to exceed 8 days. The results of calculating the changes in water areas were obtained using the classifier support vector machine, where high accuracy ratios were recorded
... Show MoreThe main objective of this work was to adopt an environmentally friendly technology with enhanced results. The technology of magnetic water (MW) treatment system can be used in concrete mixture production instead of potable water (PW) to improve both workability and strength. Two types of concrete were adopted: normal concreter production with two grades 25 and 35 MPa and the self-compacted concrete (SCC) with 35 MPa grade. The concrete mixes containing MW instead of PW results showed that, for 25 MPa grade, an improvement in a compressive strength of 15.1, 14.8, and 10.2% was achieved for 7, 28, and 90 days, respectively. For 35 MPa grade, an improvement of 13.6, 11.5, and