研究目的
To investigate the sensitivity and specificity of digital mammography (DM) and digital breast tomosynthesis (DBT) for the detection of breast cancer in comparison to histopathology findings.
研究成果
DBT improves the clinical accuracy of mammography by increasing both sensitivity and specificity possibly due to improved image visibility and quality. These data could be of great interest to health care institutions as they may impact their decision on whether to upgrade to DBT not only for diagnosis but also for screening.
研究不足
The study's limitations include its small sample size and the fact that it involved a non-blinded review. Further studies with a larger population of Arab women residing in different Arab countries are recommended to confirm or refute the findings.
1:Experimental Design and Method Selection:
The study included 65 breast lesions in 58 women, each detected by two diagnostic mammography techniques: DM and DBT using Senographe Essential machine (GE Healthcare, Buc, France), and subsequently confirmed by histopathology. The Breast Imaging-Reporting and Data System (BI-RADS) was used for characterizing the lesions.
2:Sample Selection and Data Sources:
Participants included women attending the Clinical Breast Imaging unit of our hospitals, women referred from other clinics/hospitals for a palpable breast lump on clinical examination, or women seeking a second opinion after suspicious findings on US examination or abnormal screening mammography during the period of September 2017 to March
3:List of Experimental Equipment and Materials:
20 A dedicated DM unit, Senographe Essential (GE Healthcare, Buc, France) was used for imaging. The system supported both DM and DBT imaging by acquiring craniocaudal (CC) and mediolateral oblique (MLO) projections during the same breast compression.
4:Experimental Procedures and Operational Workflow:
DM and DBT images were separately reviewed on dedicated workstations with two high resolution display monitors to determine the presence or absence of any abnormal findings. The DM views were evaluated first, then the images obtained by DBT were reviewed in cine mode in manual scroll step.
5:Data Analysis Methods:
Data was entered into Excel 2013. All statistical analyses was carried out using the Statistical Package for the Social Sciences (SPSS) version 25 for Windows (SPSS Inc., Chicago, IL, USA). The results of the two imaging modalities (DM and DBT) were compared with the histopathology report. Specificity, sensitivity, and predictive values were processed. A receiver-operating characteristic (ROC) curve was generated for each diagnostic method.
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