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

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Measurement challenge : Protocol for international case-control comparison of mammographic measures that predict breast cancer risk. / Dench, Evenda; Bond-Smith, Daniela; Darcey, Ellie; Lee, Grant; Aung, Ye K.; Chan, Ariane; Cuzick, Jack; Ding, Ze Y.; Evans, Chris F.; Harvey, Jennifer; Highnam, Ralph; Hsieh, Meng Kang; Kontos, Despina; Li, Shuai; Mariapun, Shivaani; Nickson, Carolyn; Nguyen, Tuong L.; Pertuz, Said; Procopio, Pietro; Rajaram, Nadia; Repich, Kathy; Tan, Maxine; Teo, Soo Hwang; Trinh, Nhut Ho; Ursin, Giske; Wang, Chao; Dos-Santos-Silva, Isabel; Mccormack, Valerie; Nielsen, Mads; Shepherd, John; Hopper, John L.; Stone, Jennifer.

In: BMJ Open, Vol. 9, No. 12, e031041, 31.12.2019.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Dench, E, Bond-Smith, D, Darcey, E, Lee, G, Aung, YK, Chan, A, Cuzick, J, Ding, ZY, Evans, CF, Harvey, J, Highnam, R, Hsieh, MK, Kontos, D, Li, S, Mariapun, S, Nickson, C, Nguyen, TL, Pertuz, S, Procopio, P, Rajaram, N, Repich, K, Tan, M, Teo, SH, Trinh, NH, Ursin, G, Wang, C, Dos-Santos-Silva, I, Mccormack, V, Nielsen, M, Shepherd, J, Hopper, JL & Stone, J 2019, 'Measurement challenge: Protocol for international case-control comparison of mammographic measures that predict breast cancer risk', BMJ Open, vol. 9, no. 12, e031041. https://doi.org/10.1136/bmjopen-2019-031041

APA

Dench, E., Bond-Smith, D., Darcey, E., Lee, G., Aung, Y. K., Chan, A., ... Stone, J. (2019). Measurement challenge: Protocol for international case-control comparison of mammographic measures that predict breast cancer risk. BMJ Open, 9(12), [e031041]. https://doi.org/10.1136/bmjopen-2019-031041

Vancouver

Author

Dench, Evenda ; Bond-Smith, Daniela ; Darcey, Ellie ; Lee, Grant ; Aung, Ye K. ; Chan, Ariane ; Cuzick, Jack ; Ding, Ze Y. ; Evans, Chris F. ; Harvey, Jennifer ; Highnam, Ralph ; Hsieh, Meng Kang ; Kontos, Despina ; Li, Shuai ; Mariapun, Shivaani ; Nickson, Carolyn ; Nguyen, Tuong L. ; Pertuz, Said ; Procopio, Pietro ; Rajaram, Nadia ; Repich, Kathy ; Tan, Maxine ; Teo, Soo Hwang ; Trinh, Nhut Ho ; Ursin, Giske ; Wang, Chao ; Dos-Santos-Silva, Isabel ; Mccormack, Valerie ; Nielsen, Mads ; Shepherd, John ; Hopper, John L. ; Stone, Jennifer. / Measurement challenge : Protocol for international case-control comparison of mammographic measures that predict breast cancer risk. In: BMJ Open. 2019 ; Vol. 9, No. 12.

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@article{d8bc7ab8f9eb40cdaadfb4a72f3d98d5,
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",
year = "2019",
month = "12",
day = "31",
doi = "10.1136/bmjopen-2019-031041",
language = "English",
volume = "9",
journal = "BMJ Open",
issn = "2044-6055",
publisher = "BMJ Publishing Group",
number = "12",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Measurement challenge

T2 - Protocol for international case-control comparison of mammographic measures that predict breast cancer risk

AU - Dench, Evenda

AU - Bond-Smith, Daniela

AU - Darcey, Ellie

AU - Lee, Grant

AU - Aung, Ye K.

AU - Chan, Ariane

AU - Cuzick, Jack

AU - Ding, Ze Y.

AU - Evans, Chris F.

AU - Harvey, Jennifer

AU - Highnam, Ralph

AU - Hsieh, Meng Kang

AU - Kontos, Despina

AU - Li, Shuai

AU - Mariapun, Shivaani

AU - Nickson, Carolyn

AU - Nguyen, Tuong L.

AU - Pertuz, Said

AU - Procopio, Pietro

AU - Rajaram, Nadia

AU - Repich, Kathy

AU - Tan, Maxine

AU - Teo, Soo Hwang

AU - Trinh, Nhut Ho

AU - Ursin, Giske

AU - Wang, Chao

AU - Dos-Santos-Silva, Isabel

AU - Mccormack, Valerie

AU - Nielsen, Mads

AU - Shepherd, John

AU - Hopper, John L.

AU - Stone, Jennifer

PY - 2019/12/31

Y1 - 2019/12/31

N2 - 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).

AB - 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).

KW - breast cancer

KW - Breast imaging

KW - Breast tumours

KW - mammogram

KW - mammographic density

U2 - 10.1136/bmjopen-2019-031041

DO - 10.1136/bmjopen-2019-031041

M3 - Article

VL - 9

JO - BMJ Open

JF - BMJ Open

SN - 2044-6055

IS - 12

M1 - e031041

ER -