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Showing 178 results for سرطان

Nosrat Abedpor , Ali Akbar Movassaghpour Akbari , Zohreh Sanaat ,
Volume 77, Issue 7 (10-2019)
Abstract

Background: Acute myeloid leukemia (AML) is blood and bone marrow malignancy. Low-density oxidative lipoprotein (oxLDL) is a pro-inflammatory factor that has free radicals in its structure. OxLDL levels are also rising in diseases such as diabetes, cardiovascular disease, and some cancers. Studies have shown that oxLDL and dyslipidemia are more common in patients with various cancers. This study aimed to evaluate the level of blood lipids and oxLDL in these patients with acute myeloid leukemia.
Methods: In a descriptive study, 36 patients who were diagnosed with acute myeloid leukemia from April 2016 to March 2017 were enrolled. This study was done in Shahid Ghazi Blood Department of Imam Reza Hospital, Tabriz University of Medical Sciences, Iran. Basic information including age, sex, type of disease, cause for referrals of the patients were collected. After obtaining informed consent from patients and 12 hours of fasting, 5 cc blood samples were sent to the Central Laboratory of Shahid Ghazi Hospital to measure the level of blood lipids including cholesterol, triglyceride, low density lipoprotein, high density lipoprotein (HDL), and oxLDL levels. Blood lipid and oxLDL levels were measured by automatic analyzer (Abbott Laboratories, Abbott Park, IL, USA) (ELISA method).
Results: 23 patients (54.8%) were male and 19 (45.2%) were female. The mean age of the patients was 44.06±14.48 years. The lowest age was 25 and the highest was 80 years. In the study, the mean serum cholesterol level was 147.64±42.28 mg/dl, the blood triglyceride was 183.28±79.34 mg/dl, the LDL was 84.89±26.35, and the HDL 29±14.51, the mean oxLDL was 1482.5±6031.85 ng/ml.
Conclusion: The results of this study indicate that dyslipidemia in patients with acute myeloid leukemia has not been evident. Concerning oxLDL, an oxidative stress factor involved in acute myeloid leukemia requires further investigation and studies.

Shahrbanoo Keihanian , Nafiseh Koochaki , Majid Pouya , Maryam Zakerihamidi ,
Volume 77, Issue 8 (11-2019)
Abstract

Background: Breast cancer is the most commonly diagnosed and the leading cause of cancer death among females worldwide. The rate of breast cancer incidence among Iranian women is 17% of all cancers, it has been ranked first in Iran. This study aimed to investigate the factors affecting axillary lymph node involvement in female patients with breast cancer.
Methods: A cross-sectional study was conducted on 167 patients with breast cancer diagnosed between March 2012 and March 2015 at Shahid Beheshti of Babol, Shahid Rajaei of Tonekabon and Imam Sajad of Ramsar hospitals. A researcher-made questionnaire was used to collect information on the patients and pathology report of tumor and lymph nodes was completed.
Results: The rate of axillary lymph node involvement was observed in 117 patients (70.1%). Mean age was 49.64±11.62 years in the patients with breast cancer. The highest frequency of lymph node involvement was observed in the 40-49 age group (24%). The average size of tumor was 3.39 cm and the majority of patients had a tumor 2-5 cm (T2) but the most involvement was related to T3 (>5cm). The most common type of cancer and grading were invasive ductal carcinoma (93.4%) and tumor grade 2 (52.1%), respectively. Most lymph node involvement was observed in invasive ductal carcinoma and 85.1% of patients had tumor degree 3. 22.2% of patients with vessels involvement had axillary lymph node involvement. 63% of patients’ tumors had receptors of estrogen and progesterone. A statistically significant association was observed between axillary lymph node involvement and tumor size (P=0.031), tumor type (P=0.007), tumor grade (P=0.011), estrogen receptor (P=0.008) and progesterone receptor (P=0.038).
Conclusion: There was a statistically significant association between axillary lymph node involvement and tumor size, type and grade, estrogen and progesterone receptor status, but there was no statistically significant association between axillary lymph node involvement and age and estrogen as well as progesterone receptor status.

Masoomeh Babaei , Mehrdad Hashemi , Behzad Banieghbal ,
Volume 77, Issue 10 (1-2020)
Abstract

Background: Micro-Ribonocellic Acids (miRNA) are non-coding nucleic acids that are evolutionally protected and have a length of 24-20 nucleotides. MiRNAs control the expression of genes after transcription by mRNA degradation or translation inhibition. By blocking the oncogenic miRNAs and creating the necessary and functional miRNAs (tumor suppressor), these small regulatory RNAs can have therapeutic applications in cancer. The high mortality from lung cancer highlights the fact that the majority of patients are diagnosed at an advanced stage of the disease. The use of serum biomarkers can help early detection. MiRNA is more stable than mRNA. MiRNA expression in tissue, plasma, sputum, and urine samples can be detected by fixed formulation. In addition, miRNAs are important modulators of gene expression, diagnostic markers, and prognosis. Therefore, in the present study, the expression of miR-137 in the serum of patients with lung cancer was investigated.
Methods: In this descriptive and analytical study, 100 serum samples were collected from patients referring to Masih Daneshvari Hospital in Tehran from August 2017 to May 2018. Also, individual and clinical information were collected by a questionnaire and real-time polymerase chain reaction (RT-PCR) was used for the qualitative evaluation of changes in expression of miR-137.
Results: Data showed that there was no significant difference between the expression of miR-137 in serum samples of the first and second stages of the disease. While in the serum of patients with lung cancer who metastasized in the third and fourth stages, miR-137 expression decreased by 3.2 (P=0.42) and 6.8 times (P=0.003), respectively. Based on the results, it can be inferred that the measurement of miR-137 expression in lung cancer patients with concomitant reduction can be a sign of the progression of the disease.
Conclusion: Based on the results of this study, there was a significant relationship between miR-137 expression and lung cancer.

Solmaz Ohadian Moghadam , Erfan Amini , Mohsen Ayati , Hassan Jamshidian , Seyed Ali Moemeni , Farshad Sheybaee Moghaddam , Mohammad Reza Nowroozi ,
Volume 77, Issue 10 (1-2020)
Abstract

Background: Prostate cancer has been reported as a worldwide important kind of cancer and the second most common cause of cancer-related mortality among men. Prostate-specific antigen (PSA) serum level is one of the most important markers of prostate cancer diagnosis. While PSA level helps predict the risk of prostate cancer development, researchers still looking for ways to increase the accuracy of prognostic models. To increase the specificity of PSA and decrease of unnecessary biopsies and morbidity, PSA-related parameters such as PSA doubling time (PSADT) have been used. In this study, the relationship between this factor and the severity of prostate cancer was evaluated.
Methods: In this retrospective study, the data of patients who were subjected to transrectal ultrasound-guided (TRUS) biopsy of the prostate and referred to Imam Khomeini Hospital, Tehran, between 2009 and 2017 were reviewed. We enrolled the men with at least two consecutive elevated PSA level within three months to calculate PSADT. Based on the pathology report, primary and secondary Gleason score (GS) were determined. Correspondingly, considering GS, the patients were divided into two groups with high-grade and low-grade tumor (GS<7 considered as low-grade and GS>7 considered as high-grade tumor).
Results: Totally, 1712 cases of TRUS biopsy of the prostate were studied. Among them, 547 (32.3%) had prostate cancer, of whom 73 cases were eligible based on inclusion criteria and were consented to enroll in the study. According to the data obtained, we found a significant difference in PSADT between the two groups of patients with high-grade and low-grade malignancy (mean±SD PSADT, 9.8±14.2 vs. 16.1±14.9 respectively, P=0.004). Considering the seven months as the cut-off point for PSADT in determining malignancy, there was a significant difference between the two groups according to Fisher's exact test (P=0.01).
Conclusion: In our study, PSADT cut-off of 7 months provided the greatest accuracy for differentiation between low-grade and high-grade malignancy, and PSADT has acceptable accuracy for the diagnosis of high-grade tumors.

Fatemeh Nevisi , Marjan Yaghmaie , Hossein Pashaiefar , Kamran Alimoghaddam , Masoud Iravani, Gholamreza Javadi , Ardeshir Ghavamzadeh ,
Volume 77, Issue 11 (2-2020)
Abstract

Background: Gastric cancer (GC) is considered as one of the most common types of cancer worldwide with poor prognosis and generally limited treatment options. Recent studies have indicated that HER2, MDM2, MYC, MET, and TP53 play an important role in the development of gastric cancer. Therefore, the aim of this study was to evaluate the incidence of amplification/deletion of these genes in patients with gastric cancer.
Methods: In this descriptive study, a total of 37 gastric cancer tissue samples from GC patients including 23 males (62.2%) and 14 females (37.8%) referred to the Hematology-Oncology and Stem Cell Research Center of Shariati Hospital, Tehran, from March 2015 to February 2016 were evaluated. The patient's age at diagnosis ranged from 33 to 85 years (median: 65 years). The amplification pattern of HER2, MDM2, MYC and MET genes and TP53 deletion were investigated by fluorescence in situ hybridization (FISH) technique performed on 3 to 5 micron section obtained from formalin-fixed and paraffin-embedded cancer tissues.
Results: The tumors were preferably identified at the distal stomach (54.05%) in comparison to tumors arising from the gastric cardia. The tumor size varied between 2 and 5 cm (average, 3.5 cm). Seven of the cases (19%) had advanced tumors at the time of diagnosis. HER2, MDM2, MYC, MET and TP53 copy number alteration were successfully determined in all samples obtained from the GC patients. HER2, MDM2, and c-MYC genes were amplified in 2 (5.41%), 1 (2.7%) and 3 (8.11%) of 37 patient samples, however, MET gene amplification and TP53 deletion were not observed in the obtained GC tissue samples. Co-amplification of HER2, MDM2, and MYC genes, and co-amplification of HER2 and MYC genes were detected in one patient.
Conclusion: The results of this study indicate the low frequency of MDM2, HER2 and MYC genes in gastric cancer patient and their copy number alterations may provide diagnostic and prognostic marker for GC patients.

Hamidreza Mirzaei , Mohammadreza Barzegartahamtan ,
Volume 77, Issue 12 (3-2020)
Abstract

Background: The rate of recurrence and mortality in high-risk prostate cancer remains high. On the other hand, the use of chemotherapy in metastatic prostate cancer has improved overall survival of patients. The aim of this study was to evaluate the effect of neoadjuvant chemotherapy alone on increasing survival of patients with high risk localized prostate cancer
Methods: This is a systematic review study. Databases including Scopus, Medline, PubMed, Google Scholar, Cochrane, Embase were searched. The terms used include prostate cancer, adenocarcinoma, neoadjuvant, chemotherapy, chemotherapy alone, systemic therapy. Of the various types of articles, only oiginal research studies that specifically focused on neoadjuvant chemotherapy (not chemotherapy with target therapy, immunotherapy, or hormone therapy) were identified. Inclusion criteria included study type (original research studies) and sample type (high-risk localized prostate cancer patients) and outcome type (patient survival).
Results: A total of 17 original research studies were identified. All of these studies were phase one or phase two. Docetaxel was the most commonly used chemotherapy drug. Also, the most common regimen used was the use of docetaxel alone. The rate of decrease in prostate-specific antigen (PSA) (>50%) after neoadjuvant chemotherapy was reported in 24 to 58% of patients. PSA declines of less than 50% after neoadjuvant chemotherapy occurred in 40 to 100% of patients. No studies reported a complete pathologic response following neoadjuvant chemotherapy. However, the relative pathologic response and reduced tumor volume were seen in the majority of patients. All of these studies showed that neoadjuvant chemotherapy alone, in high-risk prostate cancer patients, was almost well tolerated and that the complications were mostly mild (grade 1 and 2). Grade 3 and 4 complications were negligible. A 2-year recurrence-free survival of up to 68.5% and a 5-year recurrence-free survival of up to 49% were reported. The overall 5-year survival also ranged from 35 to 48%.
Conclusion: The use of neoadjuvant chemotherapy alone has not clearly increased the survival of patients with high-risk localized prostate cancer, and there is controversy in studies.

Negin Farshchian , Maryam Shirzadi , Firouzeh Farshchian , Sepideh Tanhaye , Sahel Heydarheydari , Nasrin Amirifard ,
Volume 78, Issue 1 (4-2020)
Abstract

Background: Melatonin is one of the drugs which are used in the treatment of sleep problems, including insomnia and sleep deprivation. The aim of the present study was to evaluate the melatonin effect on sleep quality in patients with cancer.
Methods: This quasi-experimental study was performed on cancer patients with trouble sleeping who were treated with melatonin (3 mg per day) for a month. Sleep quality according to the Pittsburgh sleep quality index (PSQI) questionnaire was evaluated before and after taking melatonin. This study was conducted in the Oncology Clinic of Imam Reza Hospital, Kermanshah City in Iran from August 2016 to February 2018.
Results: There was a significant difference between the sleep quality of patients with cancer before and after taking melatonin (P<0.05). In other words, before taking melatonin, sleep quality of none of the patients was not optimal but after taking melatonin, the sleep quality of 52% of patients was satisfactory. Also, there was a significant difference between the components of subjective sleep quality (P<0.001), sleep latency (P<0.001), sleep duration (P<0.001), sleep efficiency rate (P<0.001), sleep disturbances (P=0.001), and daytime dysfunction (P<0.001) of patients with cancer before and after taking melatonin. There was no significant difference between the components of subjective sleep quality, sleep latency, sleep duration, sleep efficiency rate, sleep disturbances, and daytime dysfunction of cancer patients with age, sex, kind of cancer, and kind of metastasis before and after taking melatonin (P˃0.05).
Conclusion: According to the mentioned findings, it seems that the administration of melatonin to enhance sleep quality in patients with cancer is effective.

Sama Rezasoltani , Hamid Asadzadeh Aghdaei , Hossein Dabiri , Abbas Akhavan Sepahi , Mohammad Hossein Modarressi , Ehsan Nazemalhosseini Mojarad ,
Volume 78, Issue 3 (6-2020)
Abstract

Background: Colorectal cancer is the second most common cancer in the world which is mainly caused by epigenetic and environmental factors. Among these epigenetic factors, gut microbiota is an important one. Although it has not been proved a unique group of bacteria correlated with colorectal cancer, these findings have generally demonstrated differences between healthy and disease gut microbiome in population. Actually, the identification and investigation of intestinal microbiota in early detection of colorectal cancer have been highlighted in new researches and studies. Herein, in the current study, we aimed to evaluate the number of selected gut bacteria including Lactobacillus and Escherichia coli and Prevotella in the fecal specimens of adenomatous polyposis patients, colorectal cancerous cases in compared to normal participants in terms of estimating important role of gut microbiota during colorectal cancer initiation and progression.
Methods: The current research was a case-control study. Fecal samples were provided from 31 healthy individuals, 42 adenomatous polyposis patients and 20 colorectal cancer cases that were referred to Taleghani Hospital, Tehran, Iran, from August 2016 to August 2017 for colorectal cancer screening tests. Fecal samples were collected to analyze intestinal bacteria including, Lactobacillus, Escherichia coli, and Prevotella by absolute quantitative real-time polymerase chain reaction (PCR). The number of these gut bacteria was precisely determined by this method of real-time PCR.
Results: Higher number of Prevotella with 24.6 CT number (P<0.005) and E.coli with 20.4 CT number (P<0.015) were achieved in colorectal cancer cases and adenomatous polyposis patients in contrast to samples from normal individuals. On the contrary, the opposite range was observed for the quantification of Lactobacillus and greater numbers of bacteria (CT=28.6) were detected in normal, compared to the colorectal cancer cases and adenomatous polyposis (P<0.001).
Conclusion: The gut microbiota composition of individuals with colorectal cancer and adenomatous polyposis differs from that of healthy individuals, and the higher numbers of pathogenic microbiota versus beneficial microbiota present in those with colorectal cancer and adenomatous polyposis. In contrast, healthy individuals have higher numbers of beneficial gut microbiota than pathogenic microbes. These findings need more experimental analysis and investigation to better clarify.

Ali Ameri,
Volume 78, Issue 4 (7-2020)
Abstract

Background: The most common types of non-melanoma skin cancer are basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). AKIEC -Actinic keratoses (Solar keratoses) and intraepithelial carcinoma (Bowen’s disease)- are common non-invasive precursors of SCC, which may progress to invasive SCC, if left untreated. Due to the importance of early detection in cancer treatment, this study aimed to propose a computer-based model for identification non-melanoma malignancies.
Methods: In this analytic study, 327 AKIEC, 513 BCC, and 840 benign keratosis images from human against machine with 10000 training dermoscopy images (HAM10000) were extracted. From each of these three types, 90% of the images were designated as the training set and the remaining images were considered as the test set. A deep learning convolutional neural network (CNN) was developed for skin cancer detection by using AlexNet (Krizhevsky, et al., 2012) as a pretrained network. First, the model was trained on the training images to discriminate between benign and malignant lesions. In comparison with conventional methods, the main advantage of the proposed approach is that it does not need cumbersome and time-consuming procedures of lesion segmentation and feature extraction. This is because CNNs have the capability of learning useful features from the raw images. Once the system was trained, it was validated with test data to assess the performance. Study was carried out at Shahid Beheshti University of Medical Sciences, Tehran, Iran, in January and February, 2020.
Results: The proposed deep learning network achieved an AUC (area under the ROC curve) of 0.97. Using a confidence score threshold of 0.5, a classification accuracy of 90% was attained in the classification of images into malignant and benign lesions. Moreover, a sensitivity of 94% and specificity of 86% were obtained. It should be noted that the user can change the threshold to adjust the model performance based on preference. For example, reducing the threshold increase sensitivity while decreasing specificity.
Conclusion: The results highlight the efficacy of deep learning models in detecting non-melanoma skin cancer. This approach can be employed in computer-aided detection systems to assist dermatologists in identification of malignant lesions.
 

Mohammadreza Amirsadri , Amir Houshang Zargarzadeh , Farimah Rahimi, Fatemeh Jahani,
Volume 78, Issue 4 (7-2020)
Abstract

Background: Cancer is the third leading cause of death in Iran. Cancer treatment is very costly and chemotherapy drugs are one of the main causes of the high cost of cancer treatment. The purpose of this study was to evaluate the cost of chemotherapy drugs of five most common cancers and identifying the factors might affect the costs of chemotherapy drugs in a one of the large provinces of Iran, located in the center of the country.
Methods: In a cross-sectional study, the data of all patients with five common cancer diagnosed from March 2015 to March 2016 in Isfahan Province in Iran were collected from the Cancer Registry Center of Isfahan, as well as the pharmacies which distribute chemotherapy drugs. The required information (including, patient characteristics, type of cancer, and the costs of chemotherapy) of patients was obtained by linking the information of patients registered in the distributor pharmacies with the patients registered at the Isfahan Cancer Registry Center through the national code of the patients.
Results: Breast, skin, colorectal, stomach and thyroid cancers were the most common cancers within the evaluated period of time in Isfahan Province. Colorectal cancer with an annual average total cost of 110,510,720 IRR (Rials) per patient was the most expensive cancer during the evaluated time period while thyroid cancer with an annual average total cost of 40,791,123 IRR per patient was the least costly cancer within the evaluated time period in Isfahan among the five most common cancers, considering the chemotherapy medicines cost. The highest cost in the colorectal cancer was due to the drug cetuximab distributed under the trade name Erbitux®. Regardless of the cancer type, the mean annual total cost of chemotherapy drugs per patient within the considered period of time calculated to be 96,307,145 IRR.
Conclusion: The chemotherapy cost of the common cancers was high with an annual average of more than 96 million IRR (Rials) per patient, within the considered time period. This was particularly true for colorectal cancer with an annual average cost of more than 110 million Rials.

Homayoon Yektaei, Mohammad Manthouri,
Volume 78, Issue 6 (9-2020)
Abstract

Breast cancer is the most common cancer among women and the earlier it is diagnosed, the easier it is to treat. The most common way to diagnose breast cancer is mammography. Mammography is a simple chest x-ray and a tool for early detection of non-palpable breast cancers and tumors. However, due to some limitations of this method such as low sensitivity especially in dense breasts, other methods such as 3d mammography, ultrasound and magnetic resonance imaging are often suggested to obtain additional useful information. Recently, computer-aided diagnostic or intelligent diagnostic have been developed to assist radiologists to improve diagnostic accuracy. In general, a computer system consists of four steps: pre-processing, dividing areas of interest, extracting and selecting features, and finally classification. Nowadays, the use of imaging techniques in the identification of patterns for diagnosis and automatic determination of breast cancer by mammography and even digital pathology (which is one of the emerging trends in modern medicine) reduces human errors and speeds up the diagnosis. In this article, We reviewed recent findings and their disadvantages and benefits in the diagnosis of breast cancer by neural networks, especially the artificial neural network, which is widely used in the diagnosis of cancers and intelligent breast cancers. This literature review shows that hybrid algorithms have been better at improving classification and detection accuracy. Providing a convenient way to diagnose tumors in the breast by computer-assisted diagnosis systems will be of great help to the physicians. Much work has been done in recent years to diagnose breast cancer, and many advances have been made in improving and diagnosing breast cancer by computer. All methods have a significant error percentage and are different depending on the type of breast, but compared to other types of neural networks, convolution and combining methods with convo have better results. Another advantage of the convoluted network is the automatic extraction of desirable features. Today, the best percentages of accuracy in detecting benign or malignant cancerous mass are achieved by convolution.
Arezoo Kazemzadeh, Iraj Abedi, Alireza Amouheidari, Atefeh Shirvany,
Volume 78, Issue 9 (12-2020)
Abstract

Background: To date, different kinds of treatment methods have been proposed for radiotherapy of cancer patients. Choosing the kind of treatment method affects the quality of the patient's treatment. This study aims to investigate the effect of the number of radiation treatment sessions on the dose received by the patient and the distribution of tumor dose and dose received by organs at risk in breast cancer radiation therapy. These results help us to select the appropriate treatment schedules for the treatment of left breast patients.
Methods: This prospective cross-sectional study was performed on the treatment plans of 35 patients with left breast cancer who referred to Isfahan Milad Hospital between July 2019 and April 2020. They were candidates for left breast radiation therapy. Also, these patients had no history of surgery or chemotherapy, and no supraclavicular or axillary lymph nodes were involved. Patients were treated with a conventional fraction regimen (CF) or hypofractionated (HF) treatment schedule. Different dosimetry parameters for the target and organ at risks such as conformity index, homogeneity index and mean dose were obtained from the dose-volume histogram plot. Finally, the results of both plans were compared with each other.
Results: The data obtained from this study indicate a decrease in the average dose of all organs in the hypo fractionated regimens compared to conventional plans. The differences between two plans were statistically significant for tumor, lung, and skin (P=0.0). Moreover, the maximum dose for the skin was also reduced when hypofractionated regimens were used. However, the values of the homogeneity index and conformity index of tumor in the two methods did not show a significant difference (P were 0.99 and 0.86, respectively).
Conclusion: In general, the results of the current study indicate that the hypofractionated regimen leads to a reduction in dosimetric factors compared to conventional fraction plans. It seems that this method can be used as an alternative treatment plan for breast cancer radiation therapy due to the reduced duration of the treatment period.
 
Bita Eslami, Ramesh Omranipour , Bahare Hesamifar, Zahra Behboodi Moghadam , Amirmohsen Jalaeefar,
Volume 78, Issue 11 (2-2021)
Abstract

Background: Breast cancer is the most common cancer in women and its treatment includes various surgeries. Breast-Q is a new patient-reported outcome instrument for breast surgery and it should be validated appropriately for clinical research. This study aimed to develop the Persian version of the Breast-Q and validate the reconstruction module to evaluate the quality of life and satisfaction of Iranian women with a previous history of breast reconstruction.
Methods: This study was descriptive and analytical cross-sectional. The study population consisted of women with a previous history of breast cancer and various breast surgeries referred to the outpatient clinic of Cancer Institute, Imam Khomeini Hospital from September 2017 to October 2019, using convenience sampling. After obtaining permission from the MAPI institute and translating all questionnaires into Persian, the validity, and reliability of the breast reconstruction module were evaluated. To confirm face validity, a questionnaire was given to patients to judge each item. To confirm the content validity of the questionnaire, two qualitative and quantitative methods were used. Content validity ratio (CVR) was calculated based on the expert opinion (Lawshe formula). Waltz & Bausell’s method was used to examine the content validity index (CVI). Finally, a new version of the questionnaire was assessed in 20 women who had undergone TRAM flap breast reconstruction at least 6 months ago.
Results: After translation of the questionnaire into Persian, and face and content validation process, the 116 items of the first questionnaire converted to 72 with an acceptable impact score greater than 1.5 and CVR and CVI. The internal validity of the breast reconstruction module was approved by Cronbach's alpha value of 0.94.
Conclusion: Considering the limitation of the specific questionnaires for various breast surgery procedures, the Breast-Q questionnaire can be an efficient tool for the evaluation of the quality of life and satisfaction in patients. Since the translation of the questionnaire has become valid and reliable, it can be used for future research by other researchers.

Hossein Bagherian, Shaghayegh Haghjooy Javanmard, Mehran Sharifi, Mohammad Sattari,
Volume 79, Issue 3 (6-2021)
Abstract

 
  This review was conducted between December 2018 and March 2019 at Isfahan University of Medical Sciences. A review of various studies revealed what data mining techniques to predict the probability of survival, what risk factors for these predictions, what criteria for evaluating data mining techniques, and finally what data sources for it have been used to predict the survival of breast cancer patients. This review is based on the Prism statement consisting of published studies in the field of predicting the survival of breast cancer patients using data mining techniques from 2005 to 2018 in databases such as Medline, Science Direct, Web of Science, Embase data and Scopus. After searching in these databases, 527 articles were retrieved. After removing duplicates and evaluating the articles, 21 articles were used. The three techniques of logistic regression, decision tree, and support vector machine have been most used in articles. Age, tumor grade, tumor stage, and tumor size are used more than other risk factors. Among the criteria, the accuracy criterion was used in more studies. Most of the studies used the Surveillance, Epidemiology, and End Results Program (SEER) dataset. Typically, in the field of survival probability prediction, data mining techniques in the field of classification are given more attention due to their adaptation to this field. Accordingly, data mining techniques such as decision tree techniques, logistic regression, and support vector machine were used in more studies than other techniques. The use of these techniques can provide a good basis for clinicians to evaluate the effectiveness of different treatments and the impact of each of these methods on patients' longevity and survival. If the output of these techniques is used to provide the data input required by a decision support system, clinicians can provide risk factors related to the patient, the patient's age, and the patient's physical condition when providing services to breast cancer patients. Through the outputs provided by the decision support system, they provided the most optimal decision to choose the best treatment method and consequently increase patient survival.

Afsaneh Tehranian, Akram Ghahghaei-Nezamabadi, Nasim Yarmohammadi, Maryam Ganjeh, Khadije Maajaani, Reihaneh Aghajani,
Volume 79, Issue 3 (6-2021)
Abstract

Background: Ovarian cancer is the fifth leading cancer-related cause of death in women worldwide and is often diagnosed at advanced stages. Regarding the low sensitivity and specificity of the currently available diagnostic techniques, in the present study, we aimed to evaluate the accuracy of RMI and ROMA indexes and comparing these two indexes with CA-125 and HE4 parameters for the diagnosis and differentiation between benign and malignant ovarian tumors. Also, we determined the optimal cut-off level of these markers in patients who attended Arash Women’s Hospital.
Methods: In this cross-sectional study, we included 137 women with ovarian mass who were attended the gynecology clinic of Arash Women's Hospital, Tehran, Iran (April 2017-April 2019), and were eligible according to the inclusion criteria. We included patients with an adnexal mass over 3 cm. Our exclusion criteria were as the following: pregnancy, age under 18 and over 90 years, taking hormonal agents, renal failure, suspected ovarian torsion, ovarian cancer and taking antibiotics, nitric oxide compounds, and heavy metals. Based on serum CA125, HE4, and ultrasound findings, ROMA and RMI indexes were determined for each patient, and the sensitivity and specificity of HE4, RMI, ROMA, and CA125 were compared with the result of the operative histopathologic assessment.
Results: According to the area under the ROC curve, regardless of the patients' menopausal status, the highest diagnostic value was dedicated to RMI with 89% under the curve area and 95% confidence interval (81.6-96.4%). Diagnostic values of other markers were as the following: 87.7%(95%CI=80.3-95%) for HE4, 87.3(95%CI=79.1-95.4%) for CA125, and 86.2%(95%CI=78.7-93.6%) for ROMA. In terms of menopausal status, HE4 had the highest diagnostic value in premenopausal patients, while in the menopausal group CA125 had the highest diagnostic value.
Conclusion: Measurement of HE4 before menopause and CA125 during menopause seems to be helpful in the early detection of ovarian cancers in women with ovarian masses.

Ali Ameri, Mahmoud Shiri, Masoumeh Gity , Mohammad Ali Akhaee,
Volume 79, Issue 5 (8-2021)
Abstract

Breast cancer is one of the most common types of cancer in women. Screening mammography is a low‑dose X‑ray examination of breasts, which is conducted to detect breast cancer at early stages when the cancerous tumor is too small to be felt as a lump. Screening mammography is conducted for women with no symptoms of breast cancer, for early detection of cancer when the cancer is most treatable and consequently greatly reduce the death rate from the breast cancer. Screening mammography should be performed every year for women age 45-54, and every two years for women age 55 and older who are in good health. A mammogram is read by a radiologist to diagnose cancer.
To assist radiologists in reading mammograms, computer-aided detection (CAD) systems have been developed which can identify suspicious lesions on mammograms. CADs can improve the accuracy and confidence level of radiologists in decision making and have been approved by FDA for clinical use. Traditional CAD systems work based on conventional machine learning (ML) and image processing algorithms. With recent advances in software and hardware resources, a great breakthrough in deep learning (DL) algorithms was followed, which revolutionized various engineering areas including medical technologies. Recently, DL models have been applied in CAD systems in mammograms and achieved outstanding performance. In contrast to conventional ML, DL algorithms eliminate the need for the tedious task of human-designed feature engineering, as they are capable of learning useful features automatically from the raw data (mammogram). One of the most common DL frameworks is the convolutional neural network (CNN). To localize lesions in a mammogram, a CNN should be applied in region‑based algorithms such as R‑CNN, Fast R‑CNN, Faster R‑CNN, and YOLO.
Proper training of a DL‑based CAD requires a large amount of annotated mammogram data, where cancerous lesions have been marked by an experienced radiologist. This highlights the importance of establishing a large, annotated mammogram dataset for the development of a reliable CAD system. This article provides a brief review of the state‑of‑the‑art techniques for DL‑based CAD in mammography.

Mohammad Ali Damghani , Fatemeh Fani Molky , Soheil Motamed ,
Volume 79, Issue 6 (9-2021)
Abstract

Background: Neck mass is one of the most common clinical findings in all age groups. Differential diagnosis of masses includes a range of pathologies from congenital to infectious or neoplasm. Understanding the risk factors of neck masses can help us to assess them properly. The purpose of this study is to obtain the epidemiological and clinical features of different neck masses in Kerman, Iran.
Methods: This research was a descriptive, retrospective and cross-sectional study. 120 Patients that have been biopsied from neck masses during March 2014 to March 2018  in the otorhinolaryngology department of Shafa hospital of Kerman (referral center of otorhinolaryngology disease of southeastern Iran), were the participants of the study. Data regarding age, sex, history of addiction, smoking and definite pathologic diagnosis were collected and analyzed with SPSS 20th version.
Results: Of 120 cases, 57.5 % were male and 42.5% were female. In the malignant masses group, the male to female ratio was 4.1 to 1. The average age of patients was 39.44 years old. From them, 20.83 percent had a history of smoking but 79.17 percent had never experienced smoking. In addition, 77.5% of the patients have not experienced opium consumption and 22.5% were addicted to opium regularly. There was a significant relationship between smoking and opium consumption and the incidence of malignant cervical masses (P<0.05). In the pathological study, inflammatory and infectious masses with 48.33 percent were in the head of pathology; malignant neoplasm with 25 percent, benign neoplasms with a prevalence of 12.5 percent and congenital masses with a prevalence of 9.7 percent were in the next ranks.
Conclusion: In this study, we investigated the epidemiological and clinical features of neck masses in Kerman. It is obvious that smoking is an important risk factor for neck mass malignancies. Also, the present study revealed that the incidence of malignant tumors increased with age.

Zohreh Ghoreishi, Ali Esfahani, Shima Asgarzad, Laleh Payahoo, Fatemeh Hajizadeh-Sharafabad ,
Volume 79, Issue 10 (1-2022)
Abstract

Background: Among all types of cancers, pancreatic cancer has poor prognosis with 5-year survival below 10%. In theory, alcohol intake may be a modifiable risk factor for pancreatic cancer due to its role in multiple carcinogenic and metabolic signaling pathways. In addition, alcohol consumption may lead to chronic pancreatitis which is underlying cause of pancreatic cancer. However, little is known about whether this factor is associated with pancreatic cancer. This study aimed to systematically review the cohort studies investigating the possible link between alcohol consumption and the morbidity or mortality of pancreatic cancer.
Methods: This study was carried out based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). All of cohort studies that assessed the association between alcohol intake and the risk of pancreatic cancer or death were included in this systematic review without a language restriction. Electronic databases including PubMed, Web of science, Scopus, and Google scholar were searched using the keywords "pancreatic cancer" and "alcohol" and similar words from 1990 to April 2021 to find the cohort studies.
Results: 858 articles were identified, of which 806 were excluded and the full-text of 52 papers were evaluated for the eligibility. Eventually, 22 articles were eligible and were included in this study. Many of the articles assessed the impacts of low to moderate alcohol intake. A comprehensive review of these studies showed that low to moderate alcohol consumption had a non-significant correlation with pancreatic cancer, while high alcohol consumption was significantly associated with the risk of pancreatic cancer or death. The results also revealed that high liquor consumption was associated with higher risk of pancreatic cancer. Nevertheless, the follow-up durations in most of these studies were shorter than that to lead to pancreatic cancer.
Conclusion: Long-term heavy alcohol drinking can increase the morbidity or mortality of pancreatic cancer. Regarding that several genetic and environmental variations involve in the pathogenesis of this cancer, simultaneous control of these differences should be addressed to determine the net effect of alcohol drinking on pancreatic cancer.
 

Maral Banihashemi Torshizi , Seyed Mehdi Tabaie, Mina Sadat Naderi, Saeed Hesami Tackallou ,
Volume 79, Issue 10 (1-2022)
Abstract

Background: Skin cancer is the most prevalent type of cancer and melanoma is the deadliest kind of skin cancer in the world. Due to enhanced induction of apoptosis and ROS levels, low-level lasers can be utilized to destroy skin cancer cells. Lasers are used to treat some skin lesions. Vitamin A is beneficial in the prevention and treatment of skin cancer. Vitamin A inhibits the pathway of cancer signals in the skin and suppresses tumor growth. In this study, the combined effect of low-level laser radiation (LLL) and vitamin A on cellular factors of skin melanoma cancer cells was investigated.
Methods: An in-vitro interventional laboratory study was performed in the cell culture laboratory of Medical Laser Research Center, Yara Institute in 2020-2021 (July 2020 to July 2021). First, A375 skin cancer cells were cultured in DMEM with 10% FBS. After preparation and culture of A375 cell lines, different concentrations of vitamin A (1, 5, 50, 100 μM) and LLL energy doses (1, 2, 5, 10 J/cm2) as treatments were done. Combination research of these treatments was performed to eliminate skin melanoma cancer cells. The rate of viability was determined using the MTT test, and the rate of apoptosis was determined using flow cytometry.
Results: The results indicated that a low-level laser with energy dosages of two and 5 J/cm2 and vitamin A treatment with a concentration of 50 μM in the A375 skin cancer cell line had the lowest viability and the highest induction of apoptosis. Furthermore, the results of the combination of Vitamin A and LLL treatments showed a synergistic effect with a greater reduction in the viability of skin melanoma cells and a greater amount of apoptosis.
Conclusion: In general, vitamin A and Low-level laser diminish the viability of cancer cells. Combination therapy of Low-level laser in the effective dose with vitamin A in optimal concentration provides anti-cancer effects. Further reductions in cancer cell viability caused by vitamin A and low-level laser radiation could pave the way for a novel approach in cancer treatment.
 

Samaneh Hosseinzadeh, Safura Pakizehkar,
Volume 79, Issue 11 (2-2022)
Abstract

Medullary thyroid cancer accounts for 5-10% of thyroid carcinomas. RET proto-oncogene mutations occur in all of the hereditary MTCs and about 66% of the sporadic MTCs. So, the detection of the RET mutations is necessary for rapid and proper diagnosis and treatment. This systematic review seeks to find a comprehensive list of RET gene mutations in the diagnosis of medullary thyroid cancer.
The previous studies on RET proto-oncogene mutations in the diagnosis of medullary thyroid cancer were searched in the major databases including PubMed, Scopus, Medline, Embase and NCBI between 2010 and 2021.
Missense mutations in exons 10, 11, 13, 14, 15, and 16 of the RET proto-oncogene have the highest frequency in MTCs. The most common mutations in FMTC, are in codons 609, 611, 618, and 620 in exon 10, codon 768 in exon 13, codon 804 in exon 14, and codon 634 in exon 11. In the case of MEN2A, RET gene mutations have been observed in exons 5, 8, 10, 11, with the highest mutations in exons 10 (codons 609, 611, 618, and 620) and exon 11 (codons 630 and 634). Moreover, M918T mutation in exon 16 and A883F mutation in exon 15 have been detected in 95% and 5% of the patients with MEN2B respectively. In the case of MTC, the M918T mutation in exon 16 is the most common mutation, which is associated with a poor prognosis. RET genetic screening is crucial for an exact approach to the diagnosis and treatment of MTC. Anyone with MTC, even without a family history of MEN2, should be genetically tested for the RET mutations to confirm or rule out the inherited disease and, if necessary, preventive thyroidectomy. This systematic review provided a comprehensive list of the reported mutations in the RET gene for the diagnosis of medullary thyroid cancer.
 


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