Quantitative breast density measurement based on three-dimensional images: a study on cone-beam breast computed tomography

Author:

Liu Aidi1ORCID,Yin Lu1,Ma Yue1,Han Peng1,Wu Yalin1,Wu Yaopan2,Ye Zhaoxiang1

Affiliation:

1. Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, PR China

2. Department of Radiology, Sun Yat-sen University Cancer Prevention and Treatment Center, Guangzhou, Guangdong, PR China

Abstract

Background Breast density is an independent predictor of breast cancer risk. Quantitative volumetric breast density (QVBD) is expected to provide more information on the prediction of breast cancer risk. Purpose To evaluate the reliability of QVBD measurements based on cone-beam breast computed tomography (CBBCT) images. Material and Methods A total of 216 breasts were used to evaluate the stability of QVBD measurements based on CBBCT images and the correlations between this volumetric measurement and visual and area-based measurement methods. The intra- and inter-observer consistency of QVBD measurements were compared. Visual breast density (VBD) was evaluated with Breast Imaging Reporting and Data System (BI-RADS) standard on CBBCT images. The correlation between QVBD and VBD was evaluated by Spearman correlation coefficient. Receiver operating characteristic (ROC) curve was used to assess the sensitivity and specificity of the volumetric method in distinguishing dense and non-dense breasts. The correlation between QVBD and quantitative area-based breast density (QABD) was determined with Pearson correlation coefficient. Then, the breast volume measured with CBBCT images was compared with the breast specimen obtained during nipple-sparing mastectomy (NSM) by Pearson correlation coefficient and linear regression. Results Excellent intra- and inter-observer consistency was found from QVBD measurements. The volumetric method distinguished dense and non-dense breasts at a cutoff value of 9.5%, with 94.5% sensitivity and 77.1% specificity. Positive correlations were found between QVBD and QABD ( r=0.890; P<0.001) and between the volume measured with CBBCT images and Archimedes method ( r=0.969; P<0.001). Conclusion CBBCT images can evaluate breast density reliably on a continuous scale.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

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