Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
502-04-001 ISMRM Abstract

Shape Descriptors of Fibroglandular Tissue on Breast MRI and their Association with Background Parenchymal Enhancement

Primary: Analysis Methods - Software Tools
Secondary: Body - Breast
502-04-001 · New Developments in Breast MRI · Wednesday, 13 May, 4:00 PM–5:50 PM · Hall 1B
Keywords: MRI for Breast Screening Fibro glandular tissue Breast Imaging Shape Model Background parenchymal enhancement
Accepted
Henry Rusinek 1, Artem Mikheev1, Gene Kim2, Samantha L Heller1
1Department of Radiology, NYU Grossman School of Medicine, New York, United States of America
2Department of Radiology, Weill Cornell Medicine, New York, United States of America
Presenting Author: Henry Rusinek

Synopsis

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References

1. Dontchos BN, Rahbar H, Partridge SC, Korde LA, Lam DL, Scheel JR, Peacock S, Lehman CD. Are Qualitative Assessments of Background Parenchymal Enhancement, Amount of Fibroglandular Tissue on MR Images, and Mammographic Density Associated with Breast Cancer Risk? Radiology. 2015 Aug;276(2):371-80. doi: 10.1148/radiol.2015142304. Epub 2015 May 12. PMID: 25965809; PMCID: PMC4554209. [doi] [pmid]
2. Telegrafo M, Rella L, Stabile Ianora AA, Angelelli G, Moschetta M. Breast MRI background parenchymal enhancement (BPE) correlates with the risk of breast cancer. Magn. Reson Imaging. 2016;34:173–176. doi: 10.1016/j.mri.2015.10.014. [doi]
3. Niell BL, Abdalah M, Stringfield O, Raghunand N, Ataya D, Gillies R, Balagurunathan Y. Quantitative Measures of Background Parenchymal Enhancement Predict Breast Cancer Risk. AJR Am J Roentgenol. 2021 Jul;217(1):64-75. doi: 10.2214/AJR.20.23804. Epub 2020 Sep 2. PMID: 32876474; PMCID: PMC9801515. [doi] [pmid]
4. Liao GJ, Henze Bancroft LC, Strigel RM, Chitalia RD, Kontos D, Moy L, Partridge SC, Rahbar H. Background parenchymal enhancement on breast MRI: A comprehensive review. J Magn Reson Imaging. 2020 Jan;51(1):43-61. doi: 10.1002/jmri.26762. Epub 2019 Apr 19. PMID: 31004391; PMCID: PMC7207072. [doi] [pmid]
5. Pujara AC, Mikheev A, Rusinek H, Rallapalli H, Walczyk J, Gao Y, Chhor C, Pysarenko K, Babb JS, Melsaether AN. Clinical applicability and relevance of fibroglandular tissue segmentation on routine T1 weighted breast MRI. Clin Imaging. 2017 Mar-Apr;42:119-125. doi: 10.1016/j.clinimag.2016.12.002. Epub 2016 Dec 6. PMID: 27951458. [doi] [pmid]
6. Blum H. Biological shape and visual science. I. J Theor Biol. 1973 Feb;38(2):205-87. doi: 10.1016/0022-5193(73)90175-6. PMID: 4689997. [doi] [pmid]
7. Sparks R, Madabhushi A. Explicit shape descriptors: novel morphologic features for histopathology classification. Med Image Anal. 2013 Dec;17(8):997-1009. doi: 10.1016/j.media.2013.06.002. Epub 2013 Jun 24. PMID: 23850744; PMCID: PMC3811112. [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/502-04-001