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Grant Details

Grant Number: 5R01CA219964-03 Interpret this number
Primary Investigator: Kim, Sungheon Gene
Organization: New York University School Of Medicine
Project Title: Gradient-Echo Spectroscopic Imaging Study of Saturated Fat and Breast Cancer
Fiscal Year: 2020


PROJECT SUMMARY The role of fat in breast cancer development and growth has been studied extensively using body mass index, a measure of whole body fatness, and dietary fat intake in a number of epidemiological studies. However, there is a paucity of studies, on an individual level, to assess the role of breast fat itself in breast cancer due to lack of a non-invasive and fast measurement method. Since breast fibroglandular cells are surrounded by breast fat cells, the characteristics of breast fat may have a stronger relationship with breast cancer development, as supported by recent studies showing that a majority of breast cancer develops at the interface between fibroglandular tissue and adipose tissue. However, it is not trivial to study the role of breast fat, mainly due to the lack of a non-invasive and fast measurement method sensitive enough to important features of breast fat, such as types of fat. Recently, we have developed a rapid MRI method, referred to as Gradient-echo Spectroscopic Imaging (GSI), to measure fatty acid composition during clinical breast MRI exams. GSI can provide map of saturated fat and unsaturated fats in the breast adipose tissue without performing tissue biopsy. Our pilot study found that the postmenopausal women with aggressive breast cancer, known as invasive ductal carcinoma, have a significantly higher percentage of saturated fat in their breast adipose tissue than the postmenopausal women with only benign lesions. The overarching goal of this study is to determine the role of saturated fatty acid in breast cancer development and growth. In this proposal, we plan to use GSI for non-invasive in vivo measurement of saturated fat in the breast adipose tissue of postmenopausal women who undergo diagnostic breast MRI exams (Aims 1 and 2) or MRI-guided biopsy scans (Aim 3). Our central hypotheses are that (i) the breast saturated fatty acid fraction measured by GSI is associated with the presence of malignant lesions in the breast and (ii) the breast saturated fatty acid fraction correlates positively with inflammation in the breast adipose tissue that may lead to increase in estrogen production in adipocytes. The proposed study will evaluate whether breast saturated fat is an independent risk factor for breast cancer, and whether it can provide additional diagnostic information to current clinical diagnostic exams. In addition, the proposed imaging measure of breast saturated fat can be used to assess the efficacy of any intervention to reduce cancer-related inflammation in the breast adipose tissue and to investigate the possible role of fatty acid composition in prevention and clinical management of breast cancer.


Bilateral gradient-echo spectroscopic imaging with correction of frequency variations for measurement of fatty acid composition in mammary adipose tissue.
Authors: Baboli M. , Storey P. , Sood T.P. , Fogarty J. , Moccaldi M. , Lewin A. , Moy L. , Kim S.G. .
Source: Magnetic resonance in medicine, 2021 07; 86(1), p. 33-45.
EPub date: 2021-02-02.
PMID: 33533056
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Measurement of cellular-interstitial water exchange time in tumors based on diffusion-time-dependent diffusional kurtosis imaging.
Authors: Zhang J. , Lemberskiy G. , Moy L. , Fieremans E. , Novikov D.S. , Kim S.G. .
Source: NMR in biomedicine, 2021 06; 34(6), p. e4496.
EPub date: 2021-02-25.
PMID: 33634508
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Quantitative Imaging of Body Fat Distribution in the Era of Deep Learning.
Authors: Kim S.G. .
Source: Academic radiology, 2021-05-19; , .
EPub date: 2021-05-19.
PMID: 34023197
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Dynamic Contrast-Enhanced MRI Evaluation of Pathologic Complete Response in Human Epidermal Growth Factor Receptor 2 (HER2)-Positive Breast Cancer After HER2-Targeted Therapy.
Authors: Heacock L. , Lewin A. , Ayoola A. , Moccaldi M. , Babb J.S. , Kim S.G. , Moy L. .
Source: Academic radiology, 2020 05; 27(5), p. e87-e93.
EPub date: 2019-08-20.
PMID: 31444111
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Evaluation of metronomic chemotherapy response using diffusion and dynamic contrast-enhanced MRI.
Authors: Baboli M. , Winters K.V. , Freed M. , Zhang J. , Kim S.G. .
Source: PloS one, 2020; 15(11), p. e0241916.
EPub date: 2020-11-25.
PMID: 33237905
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Assessment of tumor treatment response using active contrast encoding (ACE)-MRI: Comparison with conventional DCE-MRI.
Authors: Zhang J. , Winters K. , Kiser K. , Baboli M. , Kim S.G. .
Source: PloS one, 2020; 15(6), p. e0234520.
EPub date: 2020-06-10.
PMID: 32520950
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Advances in Diffusion and Perfusion MRI for Quantitative Cancer Imaging.
Authors: Baboli M. , Zhang J. , Kim S.G. .
Source: Current pathobiology reports, 2019 Dec; 7(4), p. 129-141.
EPub date: 2019-12-02.
PMID: 33344067
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Estimation of cellular-interstitial water exchange in dynamic contrast enhanced MRI using two flip angles.
Authors: Zhang J. , Kim S.G. .
Source: NMR in biomedicine, 2019 11; 32(11), p. e4135.
EPub date: 2019-07-26.
PMID: 31348580
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Fatty acid composition in mammary adipose tissue measured by Gradient-echo Spectroscopic MRI and its association with breast cancers.
Authors: Lewin A.A. , Storey P. , Moccaldi M. , Moy L. , Gene Kim S. .
Source: European journal of radiology, 2019 Jul; 116, p. 205-211.
EPub date: 2019-05-01.
PMID: 31153566
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Preliminary analysis: Background parenchymal 18F-FDG uptake in breast cancer patients appears to correlate with background parenchymal enhancement and to vary by distance from the index cancer.
Authors: Kim E. , Mema E. , Axelrod D. , Sigmund E. , Kim S.G. , Babb J. , Melsaether A.N. .
Source: European journal of radiology, 2019 Jan; 110, p. 163-168.
EPub date: 2018-11-28.
PMID: 30599855
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Preliminary study: Breast cancers can be well seen on 3T breast MRI with a half-dose of gadobutrol.
Authors: Melsaether A.N. , Kim E. , Mema E. , Babb J. , Kim S.G. .
Source: Clinical imaging, 2019 Nov - Dec; 58, p. 84-89.
EPub date: 2019-06-27.
PMID: 31279989
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