Abstract:Objective This study aimed to investigate the application value of Contrast-Enhanced Spectral Mammography (CESM) in evaluating the efficacy of neoadjuvant chemotherapy (NAC) in breast cancer and to explore the relationship between CESM features and breast cancer staging as well as molecular subtypes.Methods A total of 87 breast cancer patients treated with neoadjuvant chemotherapy at Hebei University Affiliated Hospital between May 2021 and October 2022 were included in this study. CESM and magnetic resonance imaging (MRI) were performed to assess the value of CESM and MRI in predicting the response to neoadjuvant chemotherapy. Additionally, the differences in CESM imaging characteristics among different clinical stages and molecular subtypes of breast cancer lesions were analyzed.Results CESM showed good consistency with pathological assessment of chemotherapy response (κ = 0.800, P < 0.05). There were no statistically significant differences in sensitivity, specificity, accuracy, positive predictive value, and negative predictive value between CESM and MRI in assessing chemotherapy effectiveness (P > 0.05). The CESM imaging characteristics of lesions in clinical stages I, Ⅱ, and Ⅲ showed no significant differences (P > 0.05). However, significant differences were observed in lesion diameter, irregular shape, indistinct borders, and significant enhancement among Luminal A, Luminal B, and Triple-negative subtypes (P < 0.05). Notably, the proportion of Luminal A subtype lesions with a diameter > 2 cm, irregular shape, and significant enhancement was significantly lower than that of Luminal B and Triple-negative subtypes (P < 0.05), while the proportion with indistinct borders was significantly higher (P < 0.05). There were no significant differences in the proportion of lesions with calcifications among Luminal A, Luminal B, and Triple-negative subtypes (P > 0.05).Conclusion CESM is effective in evaluating the efficacy of neoadjuvant chemotherapy in breast cancer. Additionally, CESM features such as lesion diameter, shape, borders, and enhancement are associated with breast cancer molecular subtypes.