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Background and purpose: Squamous Cell Carcinoma (SCC) is the most common head and neck malignancy. To decrease the side effects of treatment and the rate of mortality, careful staging for proper treatment plan is necessary. The purpose of this prospective study was to compare the diagnostic value of two different imaging methods (Computed Tomography (CT) and Magnetic Resonance Imaging (MRI)) in oral SCC and its lymph node metastasis in order to represent a proper treatment plan. Material and Methods: In this prospective study, 30 patients with oral SCC approved by histopathology underwent CT-scan and MRI before surgery. The gold standard and the result of the histopathology and surgical procedure were considered. Imaging modalities of each patient were blindly evaluated by two radiologists and an oral-maxillofacial surgeon. The sensitivity and specificity of each imaging modalities were compared for size, depth of the tumor, local infiltration of tumor and cervical lymph node metastasis. Also, the result of histopathology and surgical procedure were studied. Results: In detection of bone invasion, the sensitivity of CT-Scan and MRI was similar (62.5%) but specificity of MRI was higher than CT-Scan (94.4% versus 77.2%), (P=0.125). In detection of muscle infiltration, the sensitivity and specificity were 75% and 86.36% for CT-scan and 71.42% and 82.6% for MRI, respectively. Conclusion: Contrary to expectations, sensitivity and specificity of MRI in detecting bone invasion were higher than CT-Scan, whereas the sensitivity and specificity of CT-Scan in detecting muscle infiltration were higher than MRI.

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Background and purpose: The status of axillary lymph nodes (ALN) is the most important prognostic factor in patients with primary breast cancer. The aim of this study is to measure the relationship between the factors influencing metastasis to the lymph nodes in patients with breast cancer.
Materials and methods: The present study is a retrospective cohort study. The research data were extracted from telephone interviews and medical records of 241 breast cancer patients in Mazandaran Medical Sciences Hospitals. For data analysis, the chi-square test and multiple logistic regression model using principal component analysis were used to determine the relationship between factors affecting metastasis to lymph nodes. All statistical analyses were performed using Stata software version 17, R and SPSS software version 26.
Results: The average age of patients at diagnosis is 52.03±10.932 years test revealed a significant correlation between the markers ER, PR, P53, Her2 and Ki67(P<0.05). After removing collinearity using principal component analysis, the variables age, tumor size, skin involvement, grade, tubule formation and nuclear pleomorphism were selected as input variables for multiple regression. The variable grade was significant with a p-value of 0.012.
Conclusion: It is very important to identify the factors that may be effective in predicting response to treatment or disease progression. In short, there is a significant correlation between the markers ER, PR, P53, Her2 and Ki67, and the variable grade is an important factor for lymph node metastasis.