Written by Khadijeh Bakhtavar, Maryam Saran, Masoud Behzadifar, Maryam Farsi
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 8, August 2017
Background: Breast cancer is one of the health system problems and important diseases that is rising in developing and advanced countries.
Objective: This study aimed to determine the difference of Magnetic Resonance Mammography (MRM) findings versus mammography in detecting multifocal, multi-centric and malignant bilateral lesions in patients with known breast cancer in Tehran.
Methods: This cross-sectional study was conducted in Iran and Tehran among breast cancer patients between January 2015 and February 2016. Patients were included in the study prior to surgery, at the request of a surgeon with the aim of detecting multifocal, multi-centric and bilateral lesions. Demographic information was also collected from patients. The results for quantitative variables were expressed as mean and standard deviations, and for qualitative variables, were expressed as relative and absolute frequency. Chi-square test was used to compare the two methods. SPSS Ver.24 (IBM) software was used to analyze the data.
Results: Thirty-nine patients were enrolled in the study. The mean age of patients in this study was 48.46±6.836. In mammography, 13 (33.3%) had Composition C and 26 (66.7%) had Composition D according to the type of Composition. In total, 25 patients (89.3%) had one lesion and 3 patients (10.7%) had more than two lesions. In MRM, all lesions observed were mass (54 masses). The number of lesions found in MRM was 27 patients with one lesion (58.9%), 6 patients with two lesions (20.5%) and 5 patients with three lesions (20.6%). MRM detected more lesions compared to mammography (p<0.0001). The value of Chi-square test with a degree of freedom and error level of 0.05 was 3.71 and p<0.0001 that showed a significant relationship between the number of MRM findings in comparison with mammography.
Conclusion: The results of our study showed that two or more lesions and bilateral lesions in MRM were more than mammography in women with B Breast Composition C, D; the findings showed that MRM has a better ability to detect breast masses, and can affect the patient's surgical procedure.
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Keywords: Breast cancer, Mammography, MRM, Multifocal, Multi-centric, Bilateral
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Ethics of Publishing Case Reports: Do We Need Ethics Approval and Patient Consent?
An editorial by Dr. Mehrdad Jalalian
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
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The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
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Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
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About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: