Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts

Publication date

2023-08

Authors

Wang, Hui
Van der Velden, B.ORCID 0000-0003-3750-2824
Verburg, Erik
Bakker, Marije F.
Pijnappel, RuudORCID 0000-0002-6912-9414ISNI 0000000393536711
Veldhuis, WBORCID 0000-0002-9798-6843ISNI 0000000395578034
van Gils, Carla H.ORCID 0000-0003-0817-7567
Gilhuijs, KennethORCID 0000-0003-2087-8649ISNI 0000000393336330

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Advisors

Supervisors

Document Type

Article

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Open Access logo

License

taverne

Abstract

Background: Automated identification of quantitative breast parenchymal enhancement features on dynamic contrast-enhanced (DCE) MRI scans could provide added value in assessment of breast cancer risk in women with extremely dense breasts. Purpose: To automatically identify quantitative properties of the breast parenchyma on baseline DCE MRI scans and assess their association with breast cancer occurrence in women with extremely dense breasts. Materials and Methods: This study represents a secondary analysis of the Dense Tissue and Early Breast Neoplasm Screening trial. MRI was performed in eight hospitals between December 2011 and January 2016. After segmentation of fibroglandular tissue, quantitative features (including volumetric density, volumetric morphology, and enhancement characteristics) of the parenchyma were extracted from baseline MRI scans. Principal component analysis was used to identify parenchymal measures with the greatest variance. Multivariable Cox proportional hazards regression was applied to assess the association between breast cancer occurrence and quantitative parenchymal features, followed by stratification of significant features into tertiles. Results: A total of 4553 women (mean age, 55.7 years ± 6 [SD]) with extremely dense breasts were included; of these women, 122 (3%) were diagnosed with breast cancer. Five principal components representing 96% of the variance were identified, and the component explaining the greatest independent variance (42%) consisted of MRI features relating to volume of enhancing parenchyma. Multivariable analysis showed that volume of enhancing parenchyma was associated with breast cancer occurrence (hazard ratio [HR], 1.09; 95% CI: 1.01, 1.18; P = .02). Additionally, women in the high tertile of volume of enhancing parenchyma showed a breast cancer occurrence twice that of women in the low tertile (HR, 2.09; 95% CI: 1.25, 3.61; P = .005). Conclusion: In women with extremely dense breasts, a high volume of enhancing parenchyma on baseline DCE MRI scans was associated with increased occurrence of breast cancer as compared with a low volume of enhancing parenchyma.

Keywords

Taverne, Radiology Nuclear Medicine and imaging

Citation

Wang, H, van der Velden, B H M, Verburg, E, Bakker, M F, Pijnappel, R M, Veldhuis, W B, van Gils, C H & Gilhuijs, K G A 2023, 'Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts', Radiology, vol. 308, no. 2, e222841. https://doi.org/10.1148/radiol.222841