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2025 conference-abstract

Abstract P2-09-08: Correlating Breast Density with FDG-avidity on PET Imaging

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Abstract Purpose: It is well documented that breast density is an independent risk factor for the development of breast cancer[1]. Unlike traditional mammograms, PET-CT is uniquely positioned to analyze both the anatomy and metabolism of the breast parenchyma. FDG-avidity seen on PET-CT has been shown to correspond to the proliferation and number of tumor cells, though uptake in different types of breast cancer is variable, [2,3]. High FDG activity is not specific to malignancy, however, and can reflect increased metabolic activity in physiologic tissue like brown adipose tissue [4]. Increased metabolic activity in breast fibroglandular tissue could help explain the increased risk of malignancy in dense breasts. This study evaluates the correlation between FDG-avidity and tissue density of the breast in patients without breast malignancy. Patients and Methods: Radiology reports for PET-CTs from Jan. 1 - Sept. 1, 2023 were extracted from a single hospital site. Ten reports were selected in each age category (groups 30-39, 40-49, 50-59) in reverse chronological order. Inclusion criteria included female gender and complete visibility of bilateral breast tissue on PET-CT. Exclusion criteria included patients with primary breast cancer or with known metastases to the breast tissue (n=7), and prior breast procedures including implants (n=1). Each breast was scored on a scale of 1-4 on CT based on BI-RADS guidelines for breast density [5]. On attenuation-corrected PET imaging, each breast was scored on a scale of 1-4 based on the percentage of tissue with FDG-avidity. Results and Conclusion: There was a positive correlation between breast density and FDG-avid breast tissue with correlation coefficient (cc) of 0.53 (p<0.01, n=30). The positive correlation was maintained within each age category, cc= 0.45 in ages 30-39 (p=0.04, n=10), cc= 0.75 in ages 40-49(p<0.01, n=10), and cc = 0.67 in ages 50-59 (p<0.01, n=10). For most patients, the FDG-avidity of the breast correlated directly with the amount of fibroglandular tissue, though exceptions included a patient with extremely dense breast tissue (4) and minimal FDG-avidity (1) and one with scattered fibroglandular tissue (2) but high FDG-avidity (4). Given this positive correlation, increased metabolic activity in breast fibroglandular tissue may explain the association between breast density and development of breast cancer. References: Acciavatti et al. (2023). Beyond Breast Density: Risk Measures for Breast Cancer in Multiple Imaging Modalities. Radiology, 306(3), e222575. https://doi.org/10.1148/radiol.222575.Bos et al. Biologic correlates of (18)fluorodeoxyglucose uptake in human breast cancer measured by positron emission tomography. J Clin Oncol. 2002 Jan 15;20(2):379-87. Avril et al. (1996). Metabolic characterization of breast tumors with positron emission tomography using F-18 fluorodeoxyglucose. Journal of Clinical Oncology, 14(6), 1848–1857. Aukema et al. (2010). Prevention of brown adipose tissue activation in 18F-FDG PET/CT of breast cancer patients receiving neoadjuvant systemic therapy. Journal of nuclear medicine technology, 38(1), 24–27.D’Orsi et al. (2013). ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. Reston, VA, American College of Radiology. Citation Format: YiLi Zhao, Mary Salvatore. Correlating Breast Density with FDG-avidity on PET Imaging [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2024; 2024 Dec 10-13; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(12 Suppl):Abstract nr P2-09-08.

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DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Abstract P2-09-08: Correlating Breast Density with FDG-avidity on PET Imaging
Date Crossref
13/06/2025
Éditeur
American Association for Cancer Research (AACR)
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

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