Evidence map›Paper›PMID 35319148›Full record

ArticleJournal of magnetic resonance imaging : JMRI2022

Breast Tissue Chemistry Measured In Vivo In Healthy Women Correlate with Breast Density and Breast Cancer Risk.

Gorane Santamaría, Natali Naude, Julia Watson, John Irvine, Thomas Lloyd, Ian Bennett, Graham Galloway, Peter Malycha, Carolyn Mountford

Open access · hybridAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Gorane SantamaríaDiagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.ORCID 0000-0001-5915-8580
Natali NaudeDiagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Julia WatsonDiagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
John IrvineFaculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Thomas LloydDepartment of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Ian BennettDepartment of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Graham GallowayDiagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Peter MalychaDiagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Carolyn MountfordDiagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Translational Research Institute · AUQueensland University of Technology · AUPrincess Alexandra Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship of tissue chemistry to breast density and cancer risk has not been documented despite breast density being a known risk factor. PURPOSE: To investigate whether distinct chemical profiles associated with breast density and cancer risk are identified in healthy breast tissue using in vivo two-dimensional correlated spectroscopy (2D COSY). STUDY TYPE: Prospective. POPULATION: One-hundred-seven participants including 55 at low risk and 52 at high risk of developing breast cancer. FIELD STRENGTH/SEQUENCE: 3 T/ axial/ T1, T2, 2D COSY. ASSESSMENT: Two radiologists defined breast density on T2. Interobserver variability assessed. Peak volumes normalized to methylene at (1.30, 1.30) ppm as internal shift reference. STATISTICAL TESTS: Chi-squared/Mann-Whitney/Kappa statistics/Kruskal Wallis/pairwise analyses. Significance level 0.05.

resultsTen percentage were fatty breasts, 39% scattered fibroglandular, 35% heterogeneously dense, and 16% extremely dense. Interobserver variability was excellent (kappa = 0.817). Sixty percentage (64/107) were premenopausal. Four distinct tissue chemistry categories were identified: low-density (LD)/premenopausal, high-density (HD)/premenopausal, LD/postmenopausal, and HD/postmenopausal. Compared to LD, HD breast chemistry showed significant increases of cholesterol (235%) and lipid unsaturation (33%). In the low-risk category, postmenopausal women with dense breasts recorded the largest significant changes including cholesterol methyl 540%, lipid unsaturation 207%, glutamine/glutamate 900%, and choline/phosphocholine 800%. In the high-risk cohort, premenopausal women with HD recorded a more active chemical profile with significant increases in choline/phosphocholine 1100%, taurine/glucose 550% and cholesterol sterol 250%. DATA

conclusionFour distinct chemical profiles were identified in healthy breast tissue based on breast density and menopausal status in participants at low and high risk. Gradual increase in neutral lipid content and metabolites was noted in both risk groups across categories in different order. In low risk, the HD postmenopausal category exhibited the highest metabolic activity, while women at high risk exhibited the highest lipid content and metabolic activity in the HD premenopausal category. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 3.

Indexed as

Breast DensityBreast NeoplasmsCholineFemaleGlucoseGlutamatesGlutamineHumansLipidsMammographyPhosphorylcholineProspective StudiesRisk FactorsSterolsTaurineCholineGlucoseGlutamatesGlutamineLipidsPhosphorylcholineSterolsTaurinebreast densitycancer riskcholesterolin vivo MR spectroscopylipids

Identifiers

PMID35319148
PMCPMC9790468
OpenAlexW4220953609

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.