Pathologic complete response and residual disease after neoadjuvant chemotherapy in breast cancer: Comparison of contrast-enhanced mammography, DCE-MRI, and ¹⁸F-FDG PET/CT

Accurate assessment of breast cancer response to neoadjuvant chemotherapy (NAC) is important for surgical planning. We compared contrast-enhanced mammography (CEM), dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), and fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) for predicting breast pathologic complete response (pCR) and assessing residual disease. This retrospective single-center study included 76 patients who underwent all three modalities before and after NAC, followed by surgery. Postoperative histopathology was the reference standard; breast pCR was defined as the absence of residual invasive carcinoma in the breast, irrespective of residual ductal carcinoma in situ. Breast pCR occurred in 28 patients (36.8%). CEM had higher sensitivity than DCE-MRI (89.3% versus 60.7%; p = 0.012) and the highest negative predictive value (92.1%), whereas DCE-MRI had the highest specificity (85.4%) and positive predictive value (70.8%). Accuracy was 79.0%, 76.3%, and 73.7% for CEM, DCE-MRI, and ¹⁸F-FDG PET/CT, respectively, without a significant difference among modalities (p = 0.661). Corresponding areas under the receiver operating characteristic curve were 0.841, 0.844, and 0.769. Among 48 patients with residual invasive disease, intraclass correlation coefficients for CEM and DCE-MRI measurements versus pathology were 0.733 and 0.773, respectively. However, 95% limits of agreement were wide (-34.16 to 25.16 mm and -29.26 to 20.93 mm, respectively), indicating substantial individual-level discrepancies. CEM showed promise for post-NAC breast response assessment in this selected cohort, but the findings do not establish equivalence or interchangeability with DCE-MRI. Individual tumor size estimates require caution, and prospective multicenter validation is warranted.

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Journal
Biomolecules and Biomedicine
Published
2026-09-28
DOI
https://doi.org/10.17305/bb.2026.14598
Primary Topic
Breast Cancer Treatment Studies
Type
article
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article

Pathologic complete response and residual disease after neoadjuvant chemotherapy in breast cancer: Comparison of contrast-enhanced mammography, DCE-MRI, and ¹⁸F-FDG PET/CT

İsmail Zihni, Evrim Sürer Budak, Cumhur Arıcı, İmren Mutlu et al.
Biomolecules and Biomedicine
Breast Cancer Treatment Studies
article

Pathologic complete response and residual disease after neoadjuvant chemotherapy in breast cancer: Comparison of contrast-enhanced mammography, DCE-MRI, and ¹⁸F-FDG PET/CT

İsmail Zihni, Evrim Sürer Budak, Cumhur Arıcı, İmren Mutlu, Kübra Şimşek, Ebru Özan Sanhal, Sema Sezgin Goksu, Veli Vural
article en

Abstract

Accurate assessment of breast cancer response to neoadjuvant chemotherapy (NAC) is important for surgical planning. We compared contrast-enhanced mammography (CEM), dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), and fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) for predicting breast pathologic complete response (pCR) and assessing residual disease. This retrospective single-center study included 76 patients who underwent all three modalities before and after NAC, followed by surgery. Postoperative histopathology was the reference standard; breast pCR was defined as the absence of residual invasive carcinoma in the breast, irrespective of residual ductal carcinoma in situ. Breast pCR occurred in 28 patients (36.8%). CEM had higher sensitivity than DCE-MRI (89.3% versus 60.7%; p = 0.012) and the highest negative predictive value (92.1%), whereas DCE-MRI had the highest specificity (85.4%) and positive predictive value (70.8%). Accuracy was 79.0%, 76.3%, and 73.7% for CEM, DCE-MRI, and ¹⁸F-FDG PET/CT, respectively, without a significant difference among modalities (p = 0.661). Corresponding areas under the receiver operating characteristic curve were 0.841, 0.844, and 0.769. Among 48 patients with residual invasive disease, intraclass correlation coefficients for CEM and DCE-MRI measurements versus pathology were 0.733 and 0.773, respectively. However, 95% limits of agreement were wide (-34.16 to 25.16 mm and -29.26 to 20.93 mm, respectively), indicating substantial individual-level discrepancies. CEM showed promise for post-NAC breast response assessment in this selected cohort, but the findings do not establish equivalence or interchangeability with DCE-MRI. Individual tumor size estimates require caution, and prospective multicenter validation is warranted.

Biomolecules and Biomedicine
Akdeniz University (TR)
Good health and well-being
Openalex Percentile: Top 15%
Breast Cancer Treatment Studies
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