Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : lung cancer

Evaluation of the Concentration of Ubiquitin C Protein (UBC) in Patients of Lung Cancer and Comparing with Healthy Subjects

Abbas A. Mohammed; Saleen S. Abdulhadi

Engineering and Technology Journal, 2020, Volume 38, Issue 2B, Pages 61-65
DOI: 10.30684/etj.v38i2B.449

Ubiquitin protein has a conserved amino acid sequence, found in all eukaryotes and it is important in many of cellular functions .The increase or decrease in the ubiquitin level lead to causing many diseases including cancer .The aim of this study is to measure the concentration of ubiquitin c protein in blood serum of lung cancer patients and healthy control subjects by using ELISA technique. The Mean ± SD for ubiquitin c protein was (7.51 ± 5.76) in blood serum of the normal healthy subject and Std. Error mean was (1.82). While the Mean ± SD was (10.99 ± 4.56 ) for ubiquitin c protein in serum of lung cancer patients and Std. Error mean was (1.44) .The results showed no statistically significance the P value ( 0.15) between the protein concentration in the serum of patients with lung cancer compared to the serum concentration of healthy normal subjects.

Lung Cancer Detection from X-ray images by combined Backpropagation Neural Network and PCA

Israa S. Abed

Engineering and Technology Journal, 2019, Volume 37, Issue 5A, Pages 166-171
DOI: 10.30684/etj.37.5A.3

The lungs are portion of a complex unit, enlarging and relaxing numerus times every day to supply oxygen and exude CO2. Lung disease might occur from troubles in any part of it. Carcinoma often called Cancer is the generally rising and it is the most harmful disease happened in humankind. Carcinoma occurs because of uncontrolled growth of malignant cells inside the tissues of the lungs. Earlier diagnosis of cancer can help save large numbers of lives, while any delay or fail in detection may cause additional serious problems leading to sudden fatal death. The objective of this study is to design an automated system with an ability to improve the detection process in order to perform advanced recognition of the disease. The diagnosis techniques include: X-rays, MRI, CT images etc. X-ray is the common and low-cost technique that is widely used and it is relatively available for everyone. Rather than new techniques like CT and MRI, X-ray is human dependable, meaning it needs a Doctor and X-ray specialist in order to determine lung cases, so developing a system which can enhance and aid in diagnosis, can help specialist to determine cases in easily.