Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.canep.2015.11.015
Title: International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries
Authors: McCormack, Valerie A
Burton, Anya
dos-Santos-Silva, Isabel
Hipwell, John H
Dickens, Caroline
Salem, Dorria
Kamal, Rasha
Hartman, Mikael 
Lee, Charmaine Pei Ling
Chiah, Kee-Seng
Ozmen, Vahit
Aribal, Mustafa Erkin
Flugelman, Anath Arzee
Lajous, Martin
Lopez-Riduara, Ruy
Rice, Megan
Romieun, Isabelle
Ursin, Giske
Qureshi, Samera
Ma, Huiyan
Lee, Eunjung
van Gils, Carla H
Wanders, Johanna OP
Vinayak, Sudhir
Ndumia, Rose
Allen, Steve
Vinnicombe, Sarah
Moss, Sue
Lee, Jong Won
Kim, Jisun
Pereira, Ana
Garmendia, Maria Luisa
Sirous, Reza
Sirous, Mehri
Peplonska, Beata
Bukowska, Agnieszka
Tamimi, Rulla M
Bertrand, Kimberly
Nagata, Chisato
Kwong, Ava
Vachon, Celine
Scott, Christopher
Perez-Gomez, Beatriz
Pollan, Marina
Maskarinec, Gertraud
Giles, Graham
Hopper, John
Stone, Jennifer
Rajaram, Nadia
Teo, Soo-Hwang
Mariapun, Shivaani
Yaffe, Martin J
Schuez, Joachim
Chiarelli, Anna M
Linton, Linda
Boyd, Norman F
Keywords: Science & Technology
Life Sciences & Biomedicine
Oncology
Public, Environmental & Occupational Health
International Consortium
Mammographic density
Breast cancer
BREAST-CANCER RISK
ALCOHOL-CONSUMPTION
FERTILITY DECLINE
BODY-SIZE
HEALTH
WOMEN
PREVALENCE
MENOPAUSE
ASSOCIATIONS
OVERWEIGHT
Issue Date: 1-Feb-2016
Publisher: ELSEVIER SCI LTD
Citation: McCormack, Valerie A, Burton, Anya, dos-Santos-Silva, Isabel, Hipwell, John H, Dickens, Caroline, Salem, Dorria, Kamal, Rasha, Hartman, Mikael, Lee, Charmaine Pei Ling, Chiah, Kee-Seng, Ozmen, Vahit, Aribal, Mustafa Erkin, Flugelman, Anath Arzee, Lajous, Martin, Lopez-Riduara, Ruy, Rice, Megan, Romieun, Isabelle, Ursin, Giske, Qureshi, Samera, Ma, Huiyan, Lee, Eunjung, van Gils, Carla H, Wanders, Johanna OP, Vinayak, Sudhir, Ndumia, Rose, Allen, Steve, Vinnicombe, Sarah, Moss, Sue, Lee, Jong Won, Kim, Jisun, Pereira, Ana, Garmendia, Maria Luisa, Sirous, Reza, Sirous, Mehri, Peplonska, Beata, Bukowska, Agnieszka, Tamimi, Rulla M, Bertrand, Kimberly, Nagata, Chisato, Kwong, Ava, Vachon, Celine, Scott, Christopher, Perez-Gomez, Beatriz, Pollan, Marina, Maskarinec, Gertraud, Giles, Graham, Hopper, John, Stone, Jennifer, Rajaram, Nadia, Teo, Soo-Hwang, Mariapun, Shivaani, Yaffe, Martin J, Schuez, Joachim, Chiarelli, Anna M, Linton, Linda, Boyd, Norman F (2016-02-01). International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries. CANCER EPIDEMIOLOGY 40 : 141-151. ScholarBank@NUS Repository. https://doi.org/10.1016/j.canep.2015.11.015
Abstract: Mammographic density (MD) is a quantitative trait, measurable in all women, and is among the strongest markers of breast cancer risk. The population-based epidemiology of MD has revealed genetic, lifestyle and societal/environmental determinants, but studies have largely been conducted in women with similar westernized lifestyles living in countries with high breast cancer incidence rates. To benefit from the heterogeneity in risk factors and their combinations worldwide, we created an International Consortium on Mammographic Density (ICMD) to pool individual-level epidemiological and MD data from general population studies worldwide. ICMD aims to characterize determinants of MD more precisely, and to evaluate whether they are consistent across populations worldwide. We included 11755 women, from 27 studies in 22 countries, on whom individual-level risk factor data were pooled and original mammographic images were re-read for ICMD to obtain standardized comparable MD data. In the present article, we present (i) the rationale for this consortium; (ii) characteristics of the studies and women included; and (iii) study methodology to obtain comparable MD data from original re-read films. We also highlight the risk factor heterogeneity captured by such an effort and, thus, the unique insight the pooled study promises to offer through wider exposure ranges, different confounding structures and enhanced power for sub-group analyses.
Source Title: CANCER EPIDEMIOLOGY
URI: https://scholarbank.nus.edu.sg/handle/10635/209316
ISSN: 18777821
1877783X
DOI: 10.1016/j.canep.2015.11.015
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