Background: quality of life of cancer survivors is adversely impacted by bowel toxicity; result from pelvic radiation therapy. In the UK, 12000 patients are treated with radiation therapy for pelvic cancer, mostly with curative intent; this carries a considerable risk for normal surrounding tissues side effects.
Objective: the aim of this study was to determine the frequency, types and grade of acute gastrointestinal toxicity in radical pelvic radiation therapy in our patients so that a comparison could be made with the Western countries.
Patients and Methods: a prospective analytic study was carried out in Radiotherapy department / Oncology teaching hospital / Medical city complex, from the 2nd of January to the 30th of April 2016. A total of 53 patients with histologically confirmed uterine, cervical, rectal, urinary bladder or prostatic cancer, treated by radical radiation therapy, were enrolled in the study. Patients were assessed for the frequency, types and grade of acute gastrointestinal toxicities according to grading criteria of CTC (Common Toxicities Criteria), at the start, during and at the end of the treatment. The data was analyzed by the Statistical Package for Social Sciences (SPSS 20).
Result: out of 53 patients, 60.37% (32) were female and 39.62% (21) were male. Endometrial cancers represent 30.18% of the cases, cervical cancers were 24.52%, and rectal cancers 11.32%, urinary bladder cancers 24.52% and prostatic cancers were 9.43% of the total cases. Diarrhea was present in 50.9% of the patients; nausea and vomiting were present in 22.6% for each. The majority had grade 1 toxicities and only 2 patients developed grade 3 diarrhea (4.7%).
Conclusion: The type and incidence of acute gastrointestinal toxicities in pelvic radiation therapy were mostly related to; Radiation dose, a combined used of chemotherapy with radiation therapy and surgery.
Objective This research investigates Breast Cancer real data for Iraqi women, these data are acquired manually from several Iraqi Hospitals of early detection for Breast Cancer. Data mining techniques are used to discover the hidden knowledge, unexpected patterns, and new rules from the dataset, which implies a large number of attributes. Methods Data mining techniques manipulate the redundant or simply irrelevant attributes to discover interesting patterns. However, the dataset is processed via Weka (The Waikato Environment for Knowledge Analysis) platform. The OneR technique is used as a machine learning classifier to evaluate the attribute worthy according to the class value. Results The evaluation is performed using
... Show MoreBreast 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
... Show MoreChemotherapy is one of the most efficient methods for treating cancer patients. Chemotherapy aims to eliminate cancer cells as thoroughly as possible. Delivering medications to patients’ bodies through various methods, either oral or intravenous is part of the chemotherapy process. Different cell-kill hypotheses take into account the interactions of the expansion of the tumor volume, external drugs, and the rate of their eradication. For the control of drug usage and tumor volume, a model based smooth super-twisting control (MBSSTC) is proposed in this paper. Firstly, three nonlinear cell-kill mathematical models are considered in this work, including the log-kill, Norton-Simon, and hypotheses subject to parametric uncertainties and exo
... Show MoreIdentifying breast cancer utilizing artificial intelligence technologies is valuable and has a great influence on the early detection of diseases. It also can save humanity by giving them a better chance to be treated in the earlier stages of cancer. During the last decade, deep neural networks (DNN) and machine learning (ML) systems have been widely used by almost every segment in medical centers due to their accurate identification and recognition of diseases, especially when trained using many datasets/samples. in this paper, a proposed two hidden layers DNN with a reduction in the number of additions and multiplications in each neuron. The number of bits and binary points of inputs and weights can be changed using the mask configuration
... Show MoreNon-Small Cell Lung Cancer (NSCLC) accounts for about 84% of all lung cancer types diagnosed so far. Every year, regardless of gender, the NSCLC targets many communities worldwide. 5-Fluorouracil (5-FU) is a uracil-analog anticancer compound. This drug tends to annihilate multiple tumour cells. But 5-FU's most significant obstacle is that it gets very easily metabolized in the blood, which eventually leads to lower anticancer activity. Therfore a perfect drug delivery system is needed to overcome all the associated challenges.
In this experiment, an attempt was made to prepare 5-FU loaded poly lactic-co-glycolic acid nanoparticles using solvent evaporation method and subsequently observed the effect of molecular weight of poly l
... Show MoreTheoretical calculation of the electronic current at N 3 contact with TiO 2 solar cell devices ARTICLES YOU MAY BE INTERESTED IN Theoretical studies of electronic transition characteristics of senstizer molecule dye N3-SnO 2 semiconductor interface AIP Conference. Available from: https://www.researchgate.net/publication/362813854_Theoretical_calculation_of_the_electronic_current_at_N_3_contact_with_TiO_2_solar_cell_devices_ARTICLES_YOU_MAY_BE_INTERESTED_IN_Theoretical_studies_of_electronic_transition_characteristics_of_senstiz [accessed May 01 2023].
study aimed to investigate the effect of fish bone in the of chemistry and self-organized learning for students of the second grade‚ achievement . The study sample consisted of 84 students from the second grade students middel in the of alrasheed boysschool, of the Directorate of Educational Karkh II, in two divisions, Division of (a) an experimental group that studied the strategy fish bone, and the Division (d) a control group which studied the usual way. The results indicated the presence of significant differences in favor of the experimental group that studied using the fish bone in achievement and learning self-organized strategy students
Researches in the field of evaluation of industrial products emotionally are internationally new and non-existing in the Arabic speaking countries, which is considered the crux of the problem in the current research, in addition to the need of the designers and design students to know how to measure the emotional responses for the industrial product in order to get benefit from them in their designs. The research objective is to get a tool that uses emojis in measuring the emotional responses for the products. The researcher designed an emotional verbal wheel and emojis wheel. The sample of the research consisted of (7) chairs different in design and use, and the respondents were (89) students. The most important results are:
1- Desi
Background: Urological anomalies are frequently associated with anorectal malformations which are a common source of significant morbidity.
Objective: Is to evaluate the incidence and nature of the urological anomalies with patients of anorectal malformations (ARM).
Patients & methods: The data from 95 patients with ARM were studied from January 2009 to January 2012 in this cross-sectional study. All patients underwent sonography of urinary tract. Voiding cystourethrogram (VCUG) was done in patient with abnormal sonography & to all male patients with ARM who underwent colostomy. Other imaging studies were done in selected cases.
Results
... Show MoreIn this paper, the survival function has been estimated for the patients with lung cancer using different parametric estimation methods depending on sample for completing real data which explain the period of survival for patients who were ill with the lung cancer based on the diagnosis of disease or the entire of patients in a hospital for a time of two years (starting with 2012 to the end of 2013). Comparisons between the mentioned estimation methods has been performed using statistical indicator mean squares error, concluding that the estimation of the survival function for the lung cancer by using pre-test singles stage shrinkage estimator method was the best . <
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