Evidence map›Paper›PMID 31892647›Full record

ArticleBMJ open2019

Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk.

Evenda Dench, Daniela Bond-Smith, Ellie Darcey, Grant Lee, Ye K Aung, Ariane Chan, Jack Cuzick, Ze Y Ding, Chris F Evans, Jennifer Harvey and 22 more

Open access · goldAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Cohort Profile: Lifepool.International journal of epidemiology · 2025
    Article
  3. Review
  4. Article
  5. Article
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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

32 authors at 15 institutions in 9 countries.

Evenda DenchCentre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Western Australia, Australia.ORCID 0000-0002-4513-6628
Daniela Bond-SmithSchool of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia.
Ellie DarceyCentre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Western Australia, Australia.
Grant LeeCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Ye K AungCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Ariane ChanScience and Technology, Volpara Health Technologies, Wellington, New Zealand.
Jack CuzickCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.ORCID 0000-0001-7420-7512
Ze Y DingElectrical and Computer Systems Engineering, School of Engineering, Monash University - Malaysia Campus, Bandar Sunway, Selangor, Malaysia.
Chris F EvansCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Jennifer HarveyDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
Ralph HighnamScience and Technology, Volpara Health Technologies, Wellington, New Zealand.
Meng-Kang HsiehDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Despina KontosDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Shuai LiCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Shivaani MariapunCancer Research Malaysia, Subang Jaya, Selangor, Malaysia.
Carolyn NicksonCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Tuong L NguyenCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.ORCID 0000-0002-6597-8363
Said PertuzLaboratory of Signal Processing, Tampere University of Technology, Tampere, Pirkanmaa, Finland.
Pietro ProcopioCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Nadia RajaramCancer Research Malaysia, Subang Jaya, Selangor, Malaysia.
Kathy RepichDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
Maxine TanElectrical and Computer Systems Engineering, School of Engineering, Monash University - Malaysia Campus, Bandar Sunway, Selangor, Malaysia.
Soo-Hwang TeoCancer Research Malaysia, Subang Jaya, Selangor, Malaysia.
Nhut Ho TrinhCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Giske UrsinCancer Registry of Norway, Oslo, Norway.
Chao WangFaculty of Health, Social Care and Education, Kingston University and St George's, University of London, Kingston-Upon-Thames, London, UK.ORCID 0000-0002-7873-0594
Isabel Dos-Santos-SilvaDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, London, UK.
Valerie McCormackSection of Environment and Radiation, International Agency for Research on Cancer, IARC, Lyon, France.
Mads NielsenUniversity of Copenhagen, Kobenhavns, Denmark.
John ShepherdUniversity of Hawai'i Cancer Center, Honolulu, Hawaii, USA.
John L HopperCentre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.
Jennifer StoneCentre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Western Australia, Australia jennifer.stone@uwa.edu.au.
The University of Melbourne · AUThe University of Western Australia · AUMonash University Malaysia · MYUniversity of Nottingham Malaysia Campus · MYUniversity of Pennsylvania · USUniversity of Virginia · USCancer Registry of Norway · NOCancer Research Malaysia · MYCentre international de recherche sur le cancer · FRIndustrial University of Santander · COLondon School of Hygiene & Tropical Medicine · GBQueen Mary University of London · GBSt George's, University of London · GBUniversity of Copenhagen · DKUniversity of Hawaiʻi at Mānoa · US

Funding

Effect of Breast Density on Screening Recall with Digital Breast TomosynthesisR01CA161749 · NCI · UNIVERSITY OF PENNSYLVANIA · PI KONTOS, DESPINA · 2012 to 2021
$3.6M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
NCI NIH HHS R01 CA161749NIH HHS S10 OD023495World Health Organization 001
6 · The paper itself

Abstract

introductionFor women of the same age and body mass index, increased mammographic density is one of the strongest predictors of breast cancer risk. There are multiple methods of measuring mammographic density and other features in a mammogram that could potentially be used in a screening setting to identify and target women at high risk of developing breast cancer. However, it is unclear which measurement method provides the strongest predictor of breast cancer risk. METHODS AND ANALYSIS: The measurement challenge has been established as an international resource to offer a common set of anonymised mammogram images for measurement and analysis. To date, full field digital mammogram images and core data from 1650 cases and 1929 controls from five countries have been collated. The measurement challenge is an ongoing collaboration and we are continuing to expand the resource to include additional image sets across different populations (from contributors) and to compare additional measurement methods (by challengers). The intended use of the measurement challenge resource is for refinement and validation of new and existing mammographic measurement methods. The measurement challenge resource provides a standardised dataset of mammographic images and core data that enables investigators to directly compare methods of measuring mammographic density or other mammographic features in case/control sets of both raw and processed images, for the purposes of the comparing their predictions of breast cancer risk. ETHICS AND DISSEMINATION: Challengers and contributors are required to enter a Research Collaboration Agreement with the University of Melbourne prior to participation in the measurement challenge. The Challenge database of collated data and images are stored in a secure data repository at the University of Melbourne. Ethics approval for the measurement challenge is held at University of Melbourne (HREC ID 0931343.3).

Indexed as

Breast DensityMammographyBreast NeoplasmsCase-Control StudiesClinical ProtocolsFemaleHumansInternational CooperationPredictive Value of TestsRisk Assessmentbreast cancerBreast imagingBreast tumoursmammogrammammographic density

Identifiers

PMID31892647
PMCPMC6955467
OpenAlexW2998706352

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.