@article{d51c702fff35454e8333d9befcb346ac,
title = "Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk",
abstract = "Introduction: For 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).",
keywords = "breast cancer, Breast imaging, Breast tumours, mammogram, mammographic density",
author = "Evenda Dench and Daniela Bond-Smith and Ellie Darcey and Grant Lee and Aung, {Ye K.} and Ariane Chan and Jack Cuzick and Ding, {Ze Y.} and Evans, {Chris F.} and Jennifer Harvey and Ralph Highnam and Hsieh, {Meng Kang} and Despina Kontos and Shuai Li and Shivaani Mariapun and Carolyn Nickson and Nguyen, {Tuong L.} and Said Pertuz and Pietro Procopio and Nadia Rajaram and Kathy Repich and Maxine Tan and Teo, {Soo Hwang} and Trinh, {Nhut Ho} and Giske Ursin and Chao Wang and Isabel Dos-Santos-Silva and Valerie Mccormack and Mads Nielsen and John Shepherd and Hopper, {John L.} and Jennifer Stone",
note = "Funding Information: 1Centre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Western Australia, Australia 2School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia 3Centre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia 4Science and Technology, Volpara Health Technologies, Wellington, New Zealand 5Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK 6Electrical and Computer Systems Engineering, School of Engineering, Monash University - Malaysia Campus, Bandar Sunway, Selangor, Malaysia 7Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA 8Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA 9Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia 10Department of Applied Mathematics, Faculty of Engineering, University of Nottingham - Malaysia Campus, Semenyih, Selangor, Malaysia 11Cancer Research Division, Cancer Council New South Wales, Sydney, New South Wales, Austalia 12Laboratory of Signal Processing, Tampere University of Technology, Tampere, Pirkanmaa, Finland 13Connectivity and Signal Processing group, Universidad Industrial de Santander, Bucaramanga, Colombia 14School of Electrical and Computer Engineering, University of Oklahoma Norman Campus, Norman, Oklahoma, USA 15Cancer Registry of Norway, Oslo, Norway 16Faculty of Health, Social Care and Education, Kingston University and St George's, University of London, Kingston-Upon-Thames, UK 17Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK 18Section of Environment and Radiation, International Agency for Research on Cancer, IARC, Lyon, France 19University of Copenhagen, Kobenhavns, Denmark 20University of Hawai'i Cancer Center, Honolulu, Hawaii, USA twitter Chao Wang @excel_wang and Jennifer Stone @DrJenniferStone Contributors JeS, JLH, JoS, IdSS, MN and VM are the Organizing Committee of the measurement challenge and made substantial contributions to the conception or design of the work. JeH, SM, NR, KR, S-HT, GU, IdSS and JLH are phase 1 contributors of images and data who made substantial contributions to the acquisition of data for the work. GL facilitates the capture, renaming, security and distribution of images in the challenge, and is involved in design and conduct of the study. DB-S and ElD performed the statistical analyses and made a substantial contribution to analysis of the work. YKA, AC, JC, ZYD, CFE, RH, M-KH, DK, SL, CN, TLN, SP, PP, MT, NHT, CW, MN and JLH are phase 1 challengers who have made a substantial contribution to interpretation of data for the work. EvD and JeS prepared the manuscript and all authors revised it critically for important intellectual content. All authors provided final approval of the version to be published and agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. Publisher Copyright: {\textcopyright} 2019 Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2019",
month = dec,
doi = "10.1136/bmjopen-2019-031041",
language = "English",
volume = "9",
journal = "BMJ Open",
issn = "2044-6055",
publisher = "BMJ",
number = "12",
}