Abstract

ObjectivesTo assess if mammographic density (MD) changes during neoadjuvant breast cancer treatment and is predictive of a pathological complete response (pCR). MethodsWe prospectively included 200 breast cancer patients assigned to neoadjuvant chemotherapy (NACT) in the NeoDense study (2014–2019). Raw data mammograms were used to assess MD with a fully automated volumetric method and radiologists categorized MD using the Breast Imaging-Reporting and Data System (BI-RADS), 5th Edition. Logistic regression was used to calculate odds ratios (OR) for pCR comparing BI-RADS categories c vs. a, b, and d as well as with a 0.5% change in percent dense volume adjusting for baseline characteristics. ResultsThe overall median age was 53.1 years, and 48% of study participants were premenopausal pre-NACT. A total of 23% (N = 45) of the patients accomplished pCR following NACT. Patients with very dense breasts (BI-RADS d) were more likely to have a positive axillary lymph node status at diagnosis: 89% of the patients with very dense breasts compared to 72% in the entire cohort. A total of 74% of patients decreased their absolute dense volume during NACT. The likelihood of accomplishing pCR following NACT was independent of volumetric MD at diagnosis and change in volumetric MD during treatment. No trend was observed between decreasing density according to BI-RADS and the likelihood of accomplishing pCR following NACT. ConclusionsThe majority of patients decreased their MD during NACT. We found no evidence of MD as a predictive marker of pCR in the neoadjuvant setting.

Highlights

  • Mammographic density (MD) has gained significant interest and publicity in breast cancer (BC) screening

  • This study aimed to investigate whether MD assessed with a volumetric quantitative method or a change in MD during neoadjuvant chemotherapy (NACT) for BC is a predictive marker for pathological complete response (pCR)

  • The distribution of baseline characteristics according to Breast Imaging-Reporting and Data System (BI-RADS) and Volumetric breast density percentage (VBD%)bilat is presented in Table 1 for the 200 BC patients receiving NACT (Fig. 1)

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Summary

Introduction

Mammographic density (MD) has gained significant interest and publicity in breast cancer (BC) screening. This is because women within the highest density categories have up to a 4- to 6fold increased risk of primary BC in comparison to women with non-dense breasts [1]. As a complement or alternative to the subjective Breast Imaging-Reporting and Data System (BI-RADS) categorization [4], assessment of MD can be estimated by one of many software products operating on both digital vendor-processed and unprocessed mammograms. Validated against BI-RADS and magnetic resonance imaging (MRI) [5,6], VolparaTM is robust and consistent across manufacturers [7,8] for measurement of volumetric MD.

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