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Purpose: The aim of the study was to evaluate spectral mammography (CESM) in diagnosing breast cancer, which is based on sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Material and methods: The study included a group of 547 women who underwent spectral mammography and histopathological verification of the lesion, previously seen in mammography and/or ultrasound. In the group of 547 women, 593 focal lesions were diagnosed. All CESM examinations were carried-out with a digital mammography device dedicated to performing dual-energy CESM acquisitions. An intravenous injection of 1.5 ml/kg of body mass of non-ionic contrast agent was performed. Results: The analysis includes 593 breast lesions, in this group cancer was detected in 327 (55.14%) lesions, and in 256 (43.17%) cases benign lesions were confirmed by histopathological examination and at least 12 months of observation. The method shows differentiation of benign and malignant lesions in the breast: sensitivity of 97.86%, specificity of 59.4%, PPV - 74.76%, NPV - 95.76%. Conclusions: Spectral mammography could be an ideal method to detect breast cancer. Thanks to the high NPV (95.76%), it facilitates the exclusion of cancer in situations where pathological contrast enhancement is not observed. The unsatisfactory specificity of the study (59.4%) would not make it safe to avoid a core needle biopsy of lesions that undergo contrast enhancement.