Showing 26 results for Cancer
M Rahimkhani, Ma Mohagheghi,
Volume 1, Issue 2 (2-2008)
Abstract
Background and Aim: The human bowel contains a large and dynamic bacterial population (more than 500 species of bacteria). Some intestinal bacteria such as Streptococcus bovis , Enterococcus and Bacteroides fragilis have previously been suggested to be implicated in the promotion of colon carcinogenesis probably through the conversion of mutagen metabolites.
Materials and Methods: Thirty patients with colorectal cancer confirmed by colonoscopy examination and pathological survey were evaluated. Thirty healthy people who matched by sex and age with patient group were identified. Fecal samples were collected from patient and control groups were cultured in specific and non-specific culture media (aerobic and nonaerobic situations).Organisms isolated by microbial and biochemical pathways.
Results: S. bovis was predominant fecal microbial flora in nine (39.1%) patients and six (26.1%) of control group (P=0.657). Entrococcus was predominant fecal microbial flora in 6 (26.1%) patients and 2 (8.7%) of control group (P=0.657). B. fragillis was predominant fecal microbial flora in 8 (21.7%) patients and 2 (5.4%) of control group (P= 0.062).
Conclusion: Our results by fisher statistical analysis show that the incidences of fecal S. bovis, Enterococcus and B. fragilis in colorectal cancer were not significantly higher than health people.
Ar Salehi Nodeh, Sh Ghafouri, Sar Razavi, Sa Mirshafie,
Volume 2, Issue 1 (9-2008)
Abstract
Background and Aim: Fatal disease of cancer, ranks second after cardiovascular disease, as the most important causes of mortality in many developing countries, including Iran. Breast cancer is the most common disease among women. TPS is one of the tumor markers which has specially been considered due to its exclusive physiological characteristics like its easy measurement in serum of cancer patients.
Materials and Methods: This study has been set up to evaluate the efficiency of this tumor marker in the prognosis, treatment control and follow up of patients with Breast cancer. TPS has been measured with ELISA in 34 persons including 28 healthy people and 6 patients with breast cancer. Sampling has been done in three times depending on treatment methods.
Results: TPS has been measured in samples which contend of 2 to 3 ml of serum from patients and the health.
Conclusion: The results has revealed that the serum TPS is not only as a measure of prognosis but also would be helpful in follow up and treatment control of the disease.
Conclusion: Serological analysis can be settled in the diagnosis and trend of cancer with production of polyclonal antibody against TPS gene family and planning appropriate pattern.
Mohamad Tavakol, Mohsen Naseri Rad,
Volume 6, Issue 1 (5-2012)
Abstract
Background and Aim: Social capital is one of the social determinants of health, which might have an important role in health inequalities. The amount of social capital gained by individuals differs depending on social circumstances in fact, not all individuals can equally benefit from social resources of social capital. This study aims to examine the effect of social capital dimensions on being afflicted by cancer in patients referring to Cancer Institute of Tehran.
Materials and Methods: This is an analytic-descriptive study, the population of which included all patients aged over 14 and affected by stomach, colon and breast cancers, referring to Cancer Institute of Tehran University of Medical Sciences, Tehran, Iran. The sample consists of 106 subjects who have been chosen using the classified probability sampling method. The data collection device was a questionnaire together with a structured interview. Social capital emphasizes the two structural and cognitive dimensions. Moreover, it stresses personal social capital.
Results: Health inequalities and cancer are the results of simultaneous interaction between the different dimensions of social capital and behavioral/psychological and biological factors. People enjoying similar social capital in life experience cancer-related stress and unhealthy behavior in different ways
Conclusion: An increase or decrease in any of the social capital components can lead to a change in the number of those getting the disease.
Seyed Majid Hosseini Aghoosi , Fariba Nabatchian, Alireza Mordadi, Fatemeh Khodaverdi,
Volume 8, Issue 5 (1-2015)
Abstract
Background and Aim: Breast cancer is the most common type of cancer among women. A subset of isoflavones such as phytoestrogens (plant estrogens) have mammalian estrogen-like properties. Alfalfa has high isoflavone content. The aim of this study was to examine the effect of alfalfa’s isoflavones on breast cancer and lipid profile in these patients.
Materials and Methods: Thirty BALB-C mice (17±2 gr weight range) were selected. The rats were divided into four groups. The first and second group triggered to breast cancer by implanting cell lines. The third and fourth groups were healthy. Alfalfa extract was prepared by vacuum distillation.
Groups I and II received extraمct of alfalfa. Groups II and IV (control) received no treatment. After 6 weeks the blood serum of all mice were prepared. Concentration of estradiol, LDL-cholesterol, HDL-cholesterol and total cholesterol were measured.
Statistical analysis was performed by t-student and Graphpad statistical software. The significance level was set at P=0.05.
Results: The level of estradiol, total cholesterol, and LDL-cholesterol decreased significantly in the first group versus the second group (P<0.00 for all). The level of HDL-cholesterol increased insignificantly in the first group when compared to the second group (P=0.09).
Conclusion: Alfalfa extract with effect on esteradiol levels and lipid profile in mice with breast cancer could be useful in improving the patient’s condition.
Sakineh Abbasi , Patimah Ismail , Cyrus Azimi , Fariba Nabatchian, Samira Kalbasi ,
Volume 8, Issue 6 (3-2015)
Abstract
Background and Aim: ESR1 gene polymorphism has been found to be associated with breast cancer and clinical features of the disease in Caucasians. Genomic data for ESR1 in either population is therefore of value in the clinical setting for that ethnic group. In this study association of polymorphism in ESR1 gene with breast cancer risk was investigated.
Materials and Methods: A case-control study was conducted to establish a database of ESR1 polymorphisms in Iranian population. The ESR1 gene was scanned in Iranian patients newly diagnosed with invasive breast tumors, (150 patients) and in healthy individuals (147) (healthy control individuals). PCR single-strand conformation polymorphism technology and direct sequencing was performed.
Results: The frequency of heterozygote genotype in exon 8 (ACG → ACA / ) was significantly higher in breast cancer patients (48.0%) than in control individuals (1.4%). We found that mutant allele (ACA) was significantly more common in breast cancer patients with age at menarche
Conclusion: Our data suggest that ESR1 polymorphisms are correlated with various aspects of breast cancer in Iranian ESR1 genotype, as determined during pre-surgical evaluation, might represent a surrogate marker to increase predicting breast cancer in Iranian population.
Abdolreza Mohamadnia, Shirin Karimi, Reza Yadegar Azari , Seyed Alireza Naji, Adnan Khosravi, Naghmeh Bahrami, Massoud Saidijam,
Volume 9, Issue 5 (2-2016)
Abstract
Background and Aim: Lung cancer is the most common cancer among men around the world. The aim of this study was to determine the expression levels of CK19 mRNA marker in the affected patients’ peripheral blood.
Materials and Methods: Thirty patients with lung cancer (NSCLC type) were compared with 30 healthy controls. After taking peripheral blood samples and extracting total RNA, cDNA was synthesized and examined by Real-time RT-PCR technique. Then, the CEA antigen was measured by ELISA.
Results: The CK19mRNA was positive in 7 out of 30 lung cancer patients. Hence, its sensitivity was determined to be 23.3 %. The serum level of CEA antigen was positive in 11 out of 30 lung cancer patients. The mean serum level of CEA antigen markers was higher in patients than in controls; the difference was statistically significant (P< 0.001). The sensitivity of this test was determined to be 36.6 %.
Conclusion: This study showed that the sensitivity of CK19 mRNA in peripheral blood was low, but it had a high specificity for the diagnosis of primary lung cancer. Also, it was found that CEA antigen could be the specific marker for the early detection of lung cancer in patients’ peripheral blood.
Fariba Nabatchian, Mojtaba Ashteeani, Ali Noroozi,
Volume 10, Issue 2 (5-2016)
Abstract
Background and Aim: Breast cancer is epidemiological and most important cause of death in women. Oxidative stress plays an important role in this disease. Antioxidants such as some vitamins has attracted the attention of scientists to deal with oxidative stress. The aim of this study was to determine the effect of vitamin supplements in reducing oxidative stress in breast cancer.
Materials and Methods: 38 BALB-C mice were used. They were created in the breast cancer by cell implantation procedure. Rats were divided into 4 groups: 4 mice were given vitamin supplements for 1 month, 4 mice vitamin A, 4 mice, vitamin D, and 4 mice were given vitamin E respectively. After a month mice had breast cancer. In the second group mice without vitamin supplements, were affected. In the third group, mice with vitamin supplements were not affected. In the blood serum of rats, the catalase, superoxide dismutase and total antioxidant capacity was measured by ELISA.
Results: Catalase activity in mice that received vitamin supplements was significantly increased and were diagnosed (P=0.049). But the increase was not significant with vitamin D supplement (P=0.287). Superoxide dismutase in mice that received vitamin supplements and were free of disease increased significantly (P=0.0249). But the increase was not statistically significant with vitamin D supplement (P=0.24).The total antioxidant capacity in mice that received vitamin supplements and were affected with breast cancer was significantly increased (P<0.0001). This increase was not significant with vitamin D (P=0.006).
Conclusion: The use of vitamin supplements with catalase, superoxide dismutase and total antioxidant capacity was significantly correlated and may increase the level of antioxidant markers.
Saeid Alitajer, Parisa Mostaghimi ,
Volume 10, Issue 3 (7-2016)
Abstract
Background and Aim: Cancer is one of the stressful problems of humans life. The concept of cancer will included a complex problems such as cancer pain, physical and psychological, social, and cultural pains. The aim of this study was to determine the relationship between the physical environment of hospital and quality of life in cancer patients.
Materials and Methods: In this mixed study (qualitative – quantitative), 60 cancer patients referred to Imam Khomeini hospital of Ardabil and Shahid Beheshti hospital of Hamadan in 2013 were selected randomly. The data were collected by interview and observation and using the SL-36 quality of life questionnaire and also structured questionnaires was used.
Results: The analysis confirmed that images of natural scenes and artificial plants in hospital rooms increase the quality of life. See watching the outside plant, even outside the room, increase the quality of life.
Conclusion: This study confirms the quality of life increasing properties of natural elements in healthcare environment.
Nastaran Mirfarhadi , Atefeh Ghanbari, Abbas Rahimi,
Volume 11, Issue 1 (5-2017)
Abstract
Background and Aim: Early diagnosis is a tenet in oncology and enables early treatment with the expectation of improved outcome. The aim of this study was to determine the factors associated with personal characteristics and clinical signs in patients with breast cancer.
Materials and Methods: This research was a descriptive analytic that
cross-sectionally assessed 232 patients with definite breast cancer diagnosis that referred to Razi hospital located in Rasht using a researcher designed questionnaire including demographic and clinical signs. Collected data (mammography, tumor size, pathological stage of tumor) were obtained from medical records of patients. Gathered data analysis was accomplished with SPSS V.19 and for description of data from average and standard deviation for inference statics fisher test with a
P value of 0.05 were used.
Results: Mean age of subject was (49.80+10.27). 44 individuals (14%) had a precedent regular mammography before disease. Hundred and four (44.8%) in first appointment were referred to a general surgeon. Hundred and thirty six (58%) women were in stage III of the disease. Hundred and twenty nine (60%) patients had a tumor size more than 5 cm and 106 (46%) had a lymph node metastasis at the time of diagnosis. Patients referring with advanced stage of breast cancer had a low education (P=0.04) and income level (P=0.01).
Conclusions: Recognizing associated personal and clinical factors with early diagnosis can provide essential information for planning health education, screening and presenting appropriate solutions to overcome barriers to treatment and care in health system planning in this provinc
Seyed Abbas Mahmoodi , Kamal Mirzaie, Seyed Mostafa Mahmoodi ,
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: Gastric cancer is the second leading cause of cancer death in the world. Due to the prevalence of the disease and the high mortality rate of gastric cancer in Iran, the factors affecting the development of this disease should be taken into account. In this research, two data mining techniques such as Apriori and ID3 algorithm were used in order to investigate the effective factors in gastric cancer.
Materials and Methods: Data sets in this study were collected among 490 patients including 220 patients with gastric cancer and 270 healthy samples referred to Imam Reza hospital in Tabriz. The best rules related to this data set were extracted through Apriori algorithm and implementing it in MATLAB. ID3 algorithm was also used to investigate these factors.
Results: The results showed that having a history of gastro esophageal reflux has the greatest impact on the incidence of this disease. Some rules extracted through Apriori algorithm can be a model to predict patient status and the incidence of the disease and investigate factors affecting the disease. The prediction accuracy achieved through ID3 algorithm is 85.56 which was a very good result in the prediction of gastric cancer.
Conclusion: Using data mining, especially in medical data, is very useful due to the large volume of data and unknown relationships between systemic, personal, and Behavioral Features of patients. The results of this study could help physicians to identify the contributing factors in incidence of the disease and predict the incidence of the disease.
Ali Akbar Khasseh, Sholeh Zakiani, Faramarz Soheili,
Volume 12, Issue 3 (9-2018)
Abstract
Background and Aim: Scientometric studies are one of the most effective methods of scientific evaluation in databases. The aim of this study was to investigate Breast cancer in Iran from 2000-2016.
Materials and Methods: This study has an applied approach and was conducted using scientometric indices. The st tistical population was the indexed articles related to Breast cancer between the years 2000 and 2016 by Iranian researchers at the Science Web site.
Results: During the period 2000-2016, researchers have published 2198 articles on Breast cancer that indicate a steady and steady increase in the number of studies conducted in this area. The results of the study showed that Qaderi is the most prolific researcher in the field of Breast cancer in terms of the number of articles in Iran, Ebrahimi and Montazeri are in the second and third positions respectively. The highest H-index belongs to Montazeri, Qaderi and Abraham, respectively. Researchers in the field of Breast cancer have collaborated with researchers from 65 countries and more with the United States and Canada. The most co-operation has been between researchers in Tehran and Tabriz. The analysis of the keywords used in Breast cancer research in the form of supragloss showed that Iran, Apoptosis and Polymorphism were the most frequent keywords in the studied works.
Conclusion: The upward trend in Breast cancer research indicates the growing importance of this area in Iran. Given the global growth of Breast cancer research and the importance of international research participation, Iranianresearchers should more and more engage in scientific collaboration with their counterparts abroad.
Maryam Valizadeh, Leila Rouhi, Seyed Hossein Hejazi,
Volume 12, Issue 3 (9-2018)
Abstract
Background and Aim: Breast cancer is one of the most common types of cancers and is the second leading cause of death form of cancer in women. In recent years, many scientific and medical studies have shown that Green tea has anti-proliferative, anti-mutagenic, anti-oxidant, antibacterial and antiviral effects. Some Green tea polyphenols have anti-cancer activity. In the present study, the effect of Green tea extract was evaluated on the Breast cancer cell line (SK-BR-3) and compared with human fibroblast cell line (HU-02).
Materials and Methods: SK-BR-3 and HU-02 cell lines were treated for 24, 48 and 72 hours with different concentrations of Green tea (50, 100, 200, 400 and 800 μg/ml). Then, Bioavailability was analyzed by MTT kit and Apoptosis was analyzed by flow cytometry using an Annexin V-FITS Kit.
Results: With increasing concentrations of Green tea extract in dose and time dependent manner, bioavailability of cells showed a decrease as compared to control group. Increased incidence of apoptosis was significantly higher in other experimental groups than the control group, while the concentration of 800 μg/ml of Green tea extract was more effective in SKBR3 cell line. Green tea did not show significant effect in HU-02 cells.
Conclusion: Due to the fact that cell proliferation and abnormal apoptosis are one of the main characteristics of cancer cells, Green tea can be used to reduce cell proliferation and increase apoptosis in prevention and treatment of Breast cancer.
Amir Hossein Eskandari, Sadaf Alipour,
Volume 13, Issue 3 (9-2019)
Abstract
Background and goals: Breast surgery is one of the most common surgical operations performed worldwide as well as in Iran. Acute postoperative pain is managed by different therapeutic modalities in these procedures, and opioid are the most frequently used option; however their adverse consequences imposes restriction of use. The goal of this article is to review the effects of gabapentin on postoperative pain and opioid use in breast surgeries.
Materials and Method: PubMed, Ovid Medline, and Scopus databases from 2000 to 2019; as well as Google scholar, first 350 results, were searched for all clinical trials and review articles about the subject, using various related keywords. Sixty-two articles were reviewed by 2 researchers and finally data from 22 papers were gathered and assessed.
Results: This review demonstrates that gabapentin is effective in reducing acute postoperative pain after operations of the breast. Also, rate of opioid consumption, an important objective in the period after surgery, is reduced by use of opioids.
Conclusion: This study prompts the effectiveness of gabapentin in controlling postoperative pain in breast operations; since this drug is very seldom used for this purpose in our country, we propose that medical staff consider it as a powerful option after breast procedures.
Azita Yazdani, Ali Asghar Safaei, Reza Safdari, Maryam Zahmatkeshan,
Volume 13, Issue 3 (9-2019)
Abstract
Background and Aim: Breast cancer is the most common type of cancer and the main cause of death from cancer in women worldwide. Technologies such as data mining, have enabled experts in this area to improve decision making in the early diagnosis of the disease. Therefore, the purpose of this research is to develop an automatic diagnostic model for breast cancer by employing data mining methods and selecting the model with the highest accuracy of diagnosis.
Materials and Methods: In this study, 654 available patient records of Motahari breast cancer Clinic in Shiraz" were used as the sample. The number of records was reduced to 621 after the pre-processing operation. These samples had 22 features that ultimately used ten were used as effective features in the design of the model. Three types of Decision tree, Naive Bayes and Artificial neural network were used for diagnosis of breast cancer and 10-fold cross-validation method for constructing and evaluating the model on the collected data set.
Results: The results of the three techniques mentioned all three models showed promising results in detecting breast cancer. Finally, the artificial neural network accounted for the highest accuracy of 94/49%(sensitivity 96/19%, specificity 86/36%) in the diagnosis of breast cancer.
Conclusion: Based on the results of the decision tree, the risk factors such as age, weight, Age of menstruation, menopause, OCP of records duration, and the age of the first pregnancy were among the factors affecting the incidence of breast cancer in women.
Vahid Changizi, Mohammad Reza Zare, Sahel Kasiri,
Volume 13, Issue 5 (1-2020)
Abstract
Background and Aim: Due to the presence of ionizing radiation sources in the environment and their potential to enter the food chain, the natural radiation in the rice product of Mahmoud Abadu residents of this area should be evaluated.
Materials and Methods: Using standard sampling methods, the number of sampling points and locations (about 10 points) was determined. After recording the geographical location of the sites, 2 kg of soil and 2 kg of rice were removed and 20 samples were coded. 950 g of soil and rice were milled and transferred to standard Marinelli dishes with 50 mesh. The samples were completely sealed and after about one month, they were visualized with ultra-pure germanium detectors (HPGe). Subsequently, specific radionuclide radiosensitivity in soil and rice soil samples, radionuclide transfer factors from soil to rice, annual effective dose and risk of cancer due to rice consumption were measured.
Results: Effective total dose of nuclei studied in #value, lifetime cancer risk of U238 from #value to 0.00019, Ra226 from #value to 0.00008, U235 # value, Th232 from #value to 0.00027, K40 From 0.00014 to 0.00082 and finally for zero cesium.
Conclusion: There is no harmful effect on the people of the region regarding the radionuclides of rice.
Sanaz Noroozi, Rahim Ahmadi, Minoo Iranshahi,
Volume 14, Issue 2 (5-2020)
Abstract
Background and Aim: Studies have shown that non-steroid anti-inflammatory drugs have an effect on cancer cells of digestive system, however, the cellular and molecular mechanism of the non-steroidal anti-inflammatory drugs and their effects on the proliferation of gastrointestinal cancer cells is unclear in many cases. The aim of this study was to investigate the effects of cytotoxic dose of tolmetin on BAX and BCL2 genes expression level in gastric cancer cells (AGS).
Materials and Methods: In this laboratory-experimental study, AGS cells were purchased from Pasture institute and divided into control group and groups exposed to different concentrations of tolmetin. MTT assay was used to measure cytotoxic effects of tolmetin. Real-time PCR was used to evaluate BAX and BCL2 genes expression levels. The data were statistically analyzed between groups using ANOVA.
Results: Higher decrease in relative expression level of anti-apoptotic BCL2 was observed than expression level of apoptotic BAX gene in AGS cells exposed to IC50 concentration of tolmetin.
Conclusion: The results of this study indicated that tolmetin can induce apoptosis in gastric cancer cells by decreasing of anti-apoptotic BCL2 gene expression level. Therefore, consideration might be given to tolmetin in treatment of gastric cancer.
Raoof Nopour, Mohammad Shirkhoda, Sharareh Rostam Niakan Kalhori,
Volume 14, Issue 2 (5-2020)
Abstract
Background and Aim: Colorectal cancer is one of the most common gastrointestinal cancers among human beings and the most important cause of death in the world. Based on the risk of colorectal cancer for individuals, using an appropriate screening program can help to prevent the disease. Therefore, the purpose of this study was to design a model for screening colorectal cancer based on risk factors to increase the survival rate of the disease on the one hand and to reduce the mortality rate on the other.
Materials and Methods: By reviewing articles and patients' records, 38 risk factors were detected. To determine the most important risk factors clinically, CVR(content validity ratio) was used; and considering the collected data, Spearman correlation coefficient and logistic regression analysis were applied for statistical analyses. Then, four algorithms -- J-48, J-RIP, PART and REP-Tree -- were used for data mining and rule generation. Finally, the most common model was obtained based on comparing the performance of the algorithms.
Results: After comparing the performance of algorithms, the J-48 algorithm with an F-Measure of 0.889 was found to be better than the others.
Conclusion: The results of evaluating J-48 data mining algorithm performance showed that this algorithm could be considered as the most appropriate model for colorectal cancer risk prediction.
Saeid Mirzaeian, Khalil Khashei Varnamkhasti,
Volume 15, Issue 2 (5-2021)
Abstract
Background and Aim: Breast cancer is one of the most common types of cancer and the second leading cause of cancer death in women. The effect of ligustilide - isolated from the Kelussia on MCF-7 breast cancer cell line compared with human fibroblast cell line (HDF1BOM) was evaluated in the present study.
Materials and Methods: MCF-7 and HDF1BOM cell lines were treated for 48 and 72 hours with different concentrations (0, 50, 100, 150 and 200 mg/ml) of Z-ligustilide ((ligustilide (Z)-3-butylidene-4,5-dihydrophthalide)). Then, bioavailability was analyzed by ELISA reader using MTT kit and Apoptosis was assessed by flow cytometry using an Annexin V-FITC/PI kit in two times. Statistical analysis was accomplished by ANOVA and Huynh-Feldt tests using SPSS and FlowJo software.
Results: The results of MTT test showed reduce bioavailability of MCF-7 cell line in all concentrations (from 70.60% in 50 mg/ml to 6.80% in 200 mg/ml (for 48 h of treatment), from 61.95% in 50 mg/ml to 5.84% in 200 mg/ml (for 72 h of treatment)). Also, the results of the Annexin test showed that the induction of apoptosis is not time and concentration dependent manner, and it had increased in most groups. highest percentage of apoptosis were; 98.3% in 50 mg/ml (for 48 h of treatment), and 97.4 % in 100 mg/ml (for 72 h of treatment). The results of MTT test showed reduce bioavailability of HDF1BOM cell line in both times compared to the control group (from 97.24% in 50 mg/ml to 5.97% in 200 mg/ml (for 48 h of treatment), from 90.93% in 50 mg/ml to 5.26% in 200 mg/ml (for 72 h of treatment)). Also, according to the results of Annexin, early apoptotic cells show a higher percentage (4.21% in 150 mg/ml (for 48 h of treatment), 1.67% in 200 mg/ml (for 72 h of treatment)). Ligustilide did not show considerable cytotoxicity in HDF1BOM cells.
Conclusion: Due to the fact that ligustilide has an inhibitory effect on the growth, proliferation and invasion of cancer cells by inducting apoptosis, it seems that ligustilide can be used to reduce cell proliferation of breast cancer.
Vahid Changizi, Maryam Mohammadi, Samaneh Baradaran, Mehran Taheri,
Volume 15, Issue 4 (10-2021)
Abstract
Background and Aim: On panoramic radiographs, sensitive organs, including the thyroid, are exposed to radiation. Thyroid cancer is one of the most common cancers in Iran. That is why, in this study the effective dose and risk of thyroid cancer were estimated on panoramic radiography.
Materials and Methods: Seventy GR200 thermoluminescence (TLD) dosimeters were used to estimate the absorbed dose of thyroid. The dosimeters were calibrated and placed on the patients’ necks during panoramic radiography. After dosimeters were read, the mean absorbed dose and effective thyroid dose were calculated in three groups with different radiation conditions. Lifetime Attributable Risk (LAR) of thyroid cancer was estimated using the model presented in the BEIR VII report. GraphPad Prism statistical software was used to analyze the data.
Results: The mean absorbed dose of thyroid lobes in groups M, L, XL (According to mandibular size) was estimated to be 0.116±0.01, 0.123±0.04 and 0.03±0.134 mg, respectively. The right thyroid lobe in group XL with absorption dose of 0.143±0.05 mg and the left lobe in group M with absorption dose of 0.106±0.03 mg had the highest and the lowest absorption doses, respectively. The difference between the absorbed doses of the right and left thyroid lobes in any of the three groups was not statistically significant. Thyroid absorption doses in these three groups were not statistically significant. The highest risk of thyroid cancer in the age range of 15-60 years was related to the age of 15, which was estimated to be 0.238 in women and 0.042 in men per 100,000 people.
Conclusion: In lower ages and among women, the risk of thyroid cancer is higher than that of men. Also, due to the impossibility of limiting thyroid radiation in panoramic radiography using lead thyroid collar that causes metal artifacts, we should reduce the number of panoramic radiographs as much as possible, especially at lower ages.
Mr Kasra Dolatkhahi, Adel Azar, Tooraj Karimi, Mohammad Hadizadeh,
Volume 15, Issue 4 (10-2021)
Abstract
Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultimately diagnosing the risk of Breast cancer.
Materials and Methods: In the present study, first, by content analysis and library studies, the effective factors in Breast cancer were identified, then with the help of a team of experts consisting of physicians and subspecialists in Breast oncology and Breast surgery; With the help of the Delphi method, the factors were adjusted and 26 final factors that were numerically correct and string based on local and climatic conditions were approved. Then, according to the final factors and based on the medical records of 5208 patients in the Cancer Research Center of Shahid Beheshti University of medical sciences, to diagnose cancer, Decision Tree, Random Forest, and Support Vector Machine methods were used as machine learning methods.
Results: In the first step, by content analysis method, 29 effective factors in Breast cancer were identified. Then, taking into account the indigenous and climatic conditions and using the Delphi method and also using the opinions of 18 Experts during three years, 26 factors were finalized. In the final step, using the medical records of the patients and the results obtained from the three methods mentioned, random forest, had the highest accuracy of 94.75% and precision of 97.26% in diagnosing Breast cancer. It has been noted that, compared to other similar studies, indigenous databases have been exploited, the accuracy obtained has been very close to previous studies, and in many cases much better.
Conclusion: Using the random forest method and taking advantage of the factors affecting Breast cancer, the ability to diagnose cancer has been provided with greatest accuracy.
