Evidence map›Paper›PMID 31153566›Full record

ArticleEuropean journal of radiology2019

Fatty acid composition in mammary adipose tissue measured by Gradient-echo Spectroscopic MRI and its association with breast cancers.

Alana A Lewin, Pippa Storey, Melanie Moccaldi, Linda Moy, S Gene Kim

Open access · greenAbstract read
In one paragraph

Article in European journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Alana A LewinNew York University School of Medicine, Department of Radiology, Center for Biomedical Imaging, 660 First Avenue, 4th Floor, New York, NY 10016, United States. Electronic address: Alana.Amarosa@nyumc.org.
Pippa StoreyNew York University School of Medicine, Department of Radiology, Center for Biomedical Imaging, 660 First Avenue, 4th Floor, New York, NY 10016, United States.
Melanie MoccaldiNew York University School of Medicine, Department of Radiology, Center for Biomedical Imaging, 660 First Avenue, 4th Floor, New York, NY 10016, United States.
Linda MoyNew York University School of Medicine, Department of Radiology, Center for Biomedical Imaging, 660 First Avenue, 4th Floor, New York, NY 10016, United States.
S Gene KimNew York University School of Medicine, Department of Radiology, Center for Biomedical Imaging, 660 First Avenue, 4th Floor, New York, NY 10016, United States.
New York University · US

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
DCE MRI Study for Breast Cancer.R01CA160620 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2012 to 2023
$5.4M
Gradient-Echo Spectroscopic Imaging Study of Saturated Fat and Breast CancerR01CA219964 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE, MOY, LINDA · 2018 to 2022
$2.3M
NCI NIH HHS R01 CA160620NCI NIH HHS R01 CA219964NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

purposeTo assess the association of fatty acid levels in mammary adipose tissue of postmenopausal women with the presence of breast cancer using the Gradient-echo Spectroscopic Imaging (GSI). MATERIALS AND

methodsUnilateral GSI was performed at 3 T in 61 postmenopausal women undergoing breast MRI exams. The study included 19 women with breast cancer, 23 women with benign/high risk lesions, and 19 women with a history of cancer. Voxel-wise spectral analysis of fatty acids was conducted to measure relative portions of monounsaturated (MUFA), polyunsaturated (PUFA), and saturated fatty acids (SFA) in each voxel. The voxels within mammary adipose tissue were automatically selected and their median fatty acid fractions were used for quantitative analysis. Statistical analyses were performed using χ

resultsPostmenopausal women with malignancies had significantly higher SFA (0.336 ± 0.038) in mammary adipose tissue compared to those with benign disease (0.283 ± 0.046, p = 0.0008) and to those with a history of breast cancer (0.287 ± 0.050, p = 0.0038). Postmenopausal women with malignant lesions had significantly lower MUFA (0.352 ± 0.041) compared to those with benign disease (0.401 ± 0.043, p = 0.0032) and with history of breast cancer (0.388 ± 0.055, p = 0.0484). The history of cancer group had a significant correlation (r = 0.60, p = 0.006) between SFA and BMI, and the cancer group had a significant correlation (r = 0.57, p = 0.010) between PUFA and BMI.

conclusionsFatty acid composition of mammary adipose tissue, particularly higher SFA and lower MUFA, may be associated with breast cancer. The GSI method utilizes an automated voxel-based analysis to measure fatty acid composition, and may be used to assess the role of mammary adipose tissue in cancer development and progress.

Indexed as

Adipose TissueBreastBreast NeoplasmsFatty AcidsFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMiddle AgedPostmenopauseRetrospective StudiesFatty AcidsBreast cancerFatty acidGradient-echo spectroscopic MRIMammary adipose tissuePostmenopausal

Identifiers

PMID31153566
PMCPMC6568320
OpenAlexW2942731164

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.