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Background: The 131I radioisotope is used for diagnosis and treatment of hyperthyroidism and thyroid cancer. In optimized Iodine therapy, a specific dose must be reached to the thyroid gland with minimum radiation to the cervical spine, cervical vertebrae, neck tissue, subcutaneous fat and skin. Dose measurement inside the alive organ is difficult; therefore the aim of this research was dose calculation in the organs by MCNPX code. Materials and Methods: First of all, the input file for MCNPX code has been prepared to calculate F6 and F8 tallies for ellipsoidal thyroid lobes with long axes is tow times of short axes which the 131I is distributed uniformly inside the lobes. Then the code has been run for F6 and F8 tallies for variation of lobe volume from 1 to 25 milliliters. From the output file of tally F6, the gamma absorbed dose in ellipsoidal thyroid, spinal neck, neck bone, neck tissue, subcutaneous fat layer and skin for the volume lobe variation from 1 ml to 25 ml have been derived and the graphs are drew. As well as, form the output of F8 tally the absorbed energy of beta in thyroid and soft tissue of neck is obtained and listed in the table and then absorbed dose of bate has been calculated. Results: The results of this research show that for constant activity in thyroid, the absorbed dose of gamma decreases about 88.3% in thyroid, 6.9% at soft tissue, 19.3% in adipose layer and 17.4% in skin, but it increases 32.1% in spinal of neck and 32.3% in neck bone when the lobe volume varied from 1 to 25 milliliters. For the same situation, the beta absorbed dose decreases 95.9% in thyroid and 64.2% in soft tissue. Conclusion: For the constant activity in thyroid by increasing the thyroid volume, absorbed dose of gamma in thyroid and soft tissue of neck, adipose layer under the skin and skin of neck decreased, but it increased at spinal of neck and neck bone. Also, by increasing of the lobe volume in constant activity, the beta absorbed dose reduced. Therefore, whatever the thyroid lobe is small the administered value of 131I increased to induce the suitable dose. [ABSTRACT FROM AUTHOR]

Background: Allergies may either have a protective or a promoting effect on cancers. This study seeks to explore the relationship between various types of allergies and three specific cancer types: lung, breast, and colorectal cancer, thereby adding fresh insights to the existing scientific., Methods: Among the 556 patients, there were 115 cases of colorectal cancer, 305 cases of breast cancer, and 136 cases of lung cancer. The ratio of the case group to the control group was 1:1. We assessed the association between various variables, such as family history of allergy, allergies since the age of 10, pet allergies, seasonal flu, night and activity-related coughing, food allergies, itching or urticaria, childhood respiratory infections, and common colds, with the aforementioned cancers. The data were also analyzed using conditional logistic regression., Results: The results showed a protective association between itching or urticaria due to environmental factors and colorectal cancer (adjusted odds ratio [AOR]: 0.4, 95% CI: 0.17-0.94), as well as lung cancer (AOR: 0.26, 95% CI: 0.09-0.75). Additionally, a borderline association was observed between itching or urticaria and breast cancer (AOR: 0.54, 95% CI: 0.28-1.03). Allergy to pets also exhibited an inverse borderline association with breast cancer (AOR: 0.44, 95% CI: 0.18-1.05) and lung cancer (AOR: 0.25, 95% CI: 0.06-1.14). Furthermore, night coughing and allergies since the age of 10 were found to increase the odds of developing breast cancer (AOR: 2.38, 95% CI: 1.44-3.92; AOR: 5.10, 95% CI: 2.56-10.56, respectively) and lung cancer (AOR: 2.40, 95% CI: 1.29-4.46; AOR: 8.71, 95% CI: 3.29-23.03, respectively)., Conclusion: allergies and cancer have a site-specific assciation . To confirm these findings and understand the reasons behind these associations, more investigation is required.

Background: Brain cancer is a rare and deadly malignancy with a low survival rate. The present study aims to evaluate the epidemiology of brain cancer and its relationship with the human development index (HDI) worldwide., Methods: This is an ecological study. The data on cancer incidence and cancer mortality was extracted from the World Bank for Cancer in 2018 (GLOBOCAN 2018). The incidence, mortality rate, and brain cancer distribution maps were drawn for different countries. We used correlation and regression tests to examine the association of incidence and mortality rates of brain cancer with HDI. The statistical analysis was carried out by Stata-14 and a significance level of 0.05 was considered., Results: According to the results of Global Cancer Registry in 2018, there were 18,078,957 registered cases of cancer in both sexes, of which 29,681 were related to brain cancer. The highest incidence (102,260 cases, 34.4%) and mortality (77,815 cases, 32.3%) belonged to very high HDI regions. Results showed that incidence (r = 0.690, P < 0.0001) and mortality rates (r = 0.629, P < 0.001) of brain cancer are significantly correlated with HDI. We also observed a positive correlation between brain cancer incidence and Gross National Income (GNI) (r = 0.346, P < 0.001), Mean Years of Schooling (MYS) (r = 0.64, P < 0.001), TABLE (LEB) (r = 0.66, P < 0.001) and Expected Years of Schooling (EYS) (r = 0.667, P < 0.001). Results also revealed that mortality rate was significantly correlated with GNI (r = 0.28, P < 0.01), MYS (r = 0.591, P < 0.01), LEB (r = 0.624, P < 0.01), and EYS (r = 0.605, P < 0.01)., Conclusion: The results of the study showed that the incidence and mortality of brain cancer in countries with higher HDI levels is higher than countries with lower HDI levels, so attention to risk factors and action to reduce it in countries with higher HDI levels in controlling this cancer in this Countries are effective.