It is a cross sectional descriptive observation on 98 eligible patients, whose BC was pathologically confirmed in an educational hospital in Tehran from January 2014 to December 2015. Routine mammographic and ultrasonographic investigation were performed for all patients. In all cases, an expert pathologist spotted the diagnosis of BC and its type through examination of breast tissue specimens provided by an experienced surgeon, using Tru-Cut biopsy. Between the date of BC suspicion and the date of surgery, patients were undergone preoperative T2 weighted MRI of both breasts by a blinded radiologist, using 1.5 Tesla MRI scan before and after injection of 0.2 mL/kg Gadolinium. Suspicious or complicated pMRI scans were examined by a second radiologist.
During medical records review, data pertaining age, type of BC (invasive ductal carcinoma (IDC), ductal carcinoma in situ (DCIS), Other), preoperative imaging (size of lesion, multifocality, laterality, lymph node involvement), and surgical approach (initial and alternative) were gathered, using MS Office Excel (Microsoft, Redmond, USA).
We used descriptive statistics, including frequency distribution, mean, and standard deviation to report the findings. Kappa measurement was calculated to assess the agreement between pMRI, ultrasonography, and mammography. Independent t-test was used to compare the continuous variables (age, lesion count, and size) between patients, whose surgical plan altered and patients whose not. Comparing the plan alteration rate in categorical variables, we used Chi-square and Fisher’s exact tests. Type I error was considered 0.05. All analyses were conducted, using SPSS V. 22 (IBM Corp., Armonk, USA).
2.1. Ethical Considerations
All identity revealing information is kept encoded and secure. No harms were imposed to subjects. Researchers in this project are committed to the principles of the Declaration of Helsinki and have no conflict of interest. The ethical approval for the study was obtained from the Institutional Review Board at Shahid Beheshti University of Medical Sciences IR.SBMU.MSP.REC.1394.104.