Evaluation of Synthesized 2D Mammography Combined with Tomosynthesis: A Potential Approach to Reduce Radiation Exposure in Breast Cancer Diagnostic Exams
DOI:
https://doi.org/10.32635/2176-9745.RBC.2026v72n1.5470Keywords:
Mammography/instrumentation, Breast Neoplasms/diagnostic imaging, Early Detection of Cancer, Mass ScreeningAbstract
Introduction: Breast cancer is the most common globally among the female population. Conventional 2D Full-Field Digital Mammography (FFDM) is the standard screening tool but limited in dense breasts. Digital Breast Tomosynthesis (DBT) reduces this limitation, especially in extremely dense and heterogeneously dense breasts; however, its routine combination with FFDM increases radiation exposure. Synthesized 2D Mammography (S2D) has been proposed as alternative to replace FFDM, reducing dose while maintaining diagnostic performance. Objective: Validate S2D as replacement for FFDM in breast cancer diagnostic to reduce radiation dose without compromising diagnostic accuracy. Method: Patients with suspected breast lesions have been evaluated at the National Cancer Institute (INCA). Images were obtained using combined protocol (FFDM+DBT), and S2D images were generated from DBT. Agreement between FFDM and S2D was assessed using Cohen ́s Kappa. Diagnostic accuracy, sensitivity, and specificity of each imaging modality and their combinations were compared with percutaneous biopsy results. Results: Of the 149 patients included in this study, 75% had either dense or extremely dense breast tissue. Synthesized 2D showed excellent agreement with FFDM in lesion detection (κ= 0.757) and classification (κ= 0.867). DBT achieved 100% sensitivity for malignant lesions. The S2D+DBT combination demonstrated accuracy of 98.6% and sensitivity of 100%, comparable to FFDM+DBT but with 47.8% reduction in radiation dose. Conclusion: Synthesized 2D mammography is a reliable alternative to FFDM. Combined with DBT, S2D also provides accurate detection while significantly reducing radiation exposure, supporting its integration into breast cancer screening protocols, particularly in resource-constrained healthcare systems.
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