Evidence map›Paper›PMID 36828870›Full record

ArticleBritish journal of cancer2023

Alternative methods to measure breast density in younger women.

Rachel Lloyd, Sarah Pirikahu, Jane Walter, Gemma Cadby, Ellie Darcey, Dilukshi Perera, Martha Hickey, Christobel Saunders, Karol Karnowski, David D Sampson and 3 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 12 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

13 authors at 6 institutions in 4 countries.

Rachel LloydGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.ORCID 0000-0003-2751-6894
Sarah PirikahuGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.
Jane WalterUniversity Health Network, Toronto, ON, Canada.
Gemma CadbyGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.ORCID 0000-0001-7317-6531
Ellie DarceyGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.
Dilukshi PereraGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.
Martha HickeyDepartment of Obstetrics and Gynaecology, University of Melbourne and the Royal Women's Hospital, Melbourne, VIC, Australia.
Christobel SaundersDepartment of Surgery, Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia.
Karol KarnowskiOptical and Biomedical Engineering Laboratory School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Perth, WA, Australia.
David D SampsonSurry Biophotonics, Advanced Technology Institute and School of Biosciences and Medicine, The University of Surrey, Guildford, Surrey, UK.
John ShepherdEpidemiology and Population Sciences in the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA.ORCID 0000-0003-2280-2541
Lothar LilgeUniversity Health Network, Toronto, ON, Canada.
Jennifer StoneGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, Perth, WA, Australia. Jennifer.stone@uwa.edu.au.ORCID 0000-0001-5077-0124
The University of Western Australia · AUUniversity Health Network · CARoyal Women's Hospital · AUThe Royal Melbourne Hospital · AUUniversity of Hawaiʻi at Mānoa · USUniversity of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast density is a strong and potentially modifiable breast cancer risk factor. Almost everything we know about breast density has been derived from mammography, and therefore, very little is known about breast density in younger women aged <40. This study examines the acceptability and performance of two alternative breast density measures, Optical Breast Spectroscopy (OBS) and Dual X-ray Absorptiometry (DXA), in women aged 18-40.

methodsBreast tissue composition (percent water, collagen, and lipid content) was measured in 539 women aged 18-40 using OBS. For a subset of 169 women, breast density was also measured via DXA (percent fibroglandular dense volume (%FGV), absolute dense volume (FGV), and non-dense volume (NFGV)). Acceptability of the measurement procedures was assessed using an adapted validated questionnaire. Performance was assessed by examining the correlation and agreement between the measures and their associations with known determinants of mammographic breast density.

resultsOver 93% of participants deemed OBS and DXA to be acceptable. The correlation between OBS-%water + collagen and %FGV was 0.48. Age and BMI were inversely associated with OBS-%water + collagen and %FGV and positively associated with OBS-%lipid and NFGV.

conclusionsOBS and DXA provide acceptable and viable alternative methods to measure breast density in younger women aged 18-40 years.

Indexed as

Breast DensityBreast NeoplasmsAbsorptiometry, PhotonBreastFemaleHumansLipidsMammographyRisk FactorsLipids

Identifiers

PMID36828870
PMCPMC10133329
OpenAlexW4321766116

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.