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Bai S, Song D, Chen M, Lai X, Xu J, Dong F. The association between mammographic density and breast cancer molecular subtypes: a systematic review and meta-analysis. Clin Radiol 2023; 78:622-632. [PMID: 37230842 DOI: 10.1016/j.crad.2023.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/12/2023] [Accepted: 04/21/2023] [Indexed: 05/27/2023]
Abstract
AIM To conduct a systematic review and meta-analysis to evaluate the whether high mammographic density (MD) is differentially associated with all subtypes of breast cancer. MATERIALS AND METHODS The PubMed, Cochrane Library, and Embase databases were searched systematically in October 2022 to include all studies that investigated the association between MD and breast cancer subtype. Aggregate data of 17,193 breast cancer cases from 23 studies were selected, including five cohort/case-control and 18 case-only studies. The relative risk (RR) of MD were combined using random/fixed effects models for case-control studies, and for case-only studies, relative risk ratios (RRRs) were a combination of luminal A, luminal B, and HER2-positive versus triple-negative tumours. RESULTS Women in the highest density category in case-control/cohort studies had a 2.24-fold (95% confidence interval [CI] 1.53, 3.28), 1.81-fold (95% CI 1.15, 2.85), 1.44-fold (95% CI 1.14, 1.81), and 1.59-fold (95% CI 0.89, 2.85) higher risk of triple-negative, HER-2 (human epidermal growth factor receptor 2) positive, luminal A, and luminal B breast cancer compared to women in the lowest density category. RRRs for breast tumours being luminal A, luminal B, and HER-2 positive versus triple-negative in case-only studies were 1.62 (95% CI 1.14, 2.31), 1.81 (95% CI 1.22, 2.71) and 2.58 (95% CI 1.63, 4.08), respectively, for BIRADS 4 versus BIRADS 1. CONCLUSION The evidence indicates MD is a potent risk factor for the majority of breast cancer subtypes to different degrees. Increased MD is more strongly linked to HER-2-positive cancers compared to other breast cancer subtypes. The application of MD as a subtype-specific risk marker may facilitate the creation of personalised risk prediction models and screening procedures.
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Affiliation(s)
- S Bai
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - D Song
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - M Chen
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - X Lai
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - J Xu
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
| | - F Dong
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
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Li T, Li J, Heard R, Gandomkar Z, Ren J, Dai M, Brennan P. Understanding mammographic breast density profile in China: A Sino-Australian comparative study of breast density using real-world data from cancer screening programs. Asia Pac J Clin Oncol 2022; 18:696-705. [PMID: 35238173 PMCID: PMC9790382 DOI: 10.1111/ajco.13763] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/27/2022] [Indexed: 12/30/2022]
Abstract
AIM This study aims at understanding mammographic density profile in China by comparing the density between women in China and Australia. METHODS Data of 3250 women aged 45-69 were obtained from the Cancer Screening Program in Urban China and data of 1384 Australian counterparts at same age range were gathered from the Lifepool project. Demographic and reproductive details and mammograms for each cohort were collected. Mammographic density was assessed using AutoDensity, and two metrics, percentage density (PD) and dense area (DA), were applied. T-tests were used to compare the means of mammographic density between two populations of all, premenopausal, and postmenopausal women. Two-way ANOVA was conducted to examine interactions of population (Chinese/Australian) and each variable of interest upon mammographic density. RESULTS Chinese women had 9.61%, 8.20%, and 9.28% higher PD than their Australian counterparts in all, premenopausal, and postmenopausal women, respectively (all p < 0.001). The mean differences in DA between two population were 1.81 cm2 (p < 0.001), 0.55 cm2 (p = 0.472), and 1.76 cm2 (p = 0.003) for all, premenopausal, and postmenopausal women, respectively. There were significant interactions between population and age (F[4, 4624] = 4.12, p = 0.003), BMI (F[2, 4628] = 3.92, p = 0.020), age at first birth (F[1, 4250] = 11.69, p < 0.001), breastfeeding history (F[1, 4479] = 17.79, p < 0.001), and breastfeeding duration (F[1, 3526] = 66.90, p < 0.001) upon PD. Interaction was only found for breastfeeding history (F[1, 4479] = 4.79, p = 0.029) and breastfeeding duration (F[1, 3526] = 17.72, p < 0.001) for DA. CONCLUSIONS Both PD and DA were found to be higher in Chinese women compared to Australian women. The density difference by menopause status was shown and breastfeeding history affected breast density differently in both populations.
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Affiliation(s)
- Tong Li
- Medical Imaging Science, School of Health Sciences, Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
| | - Jing Li
- Department of Diagnostic RadiologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Rob Heard
- School of Health Sciences, Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
| | - Ziba Gandomkar
- Medical Imaging Science, School of Health Sciences, Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
| | - Jiansong Ren
- Office of Cancer ScreeningNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Min Dai
- Office of Cancer ScreeningNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Patrick Brennan
- Medical Imaging Science, School of Health Sciences, Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
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Ward SV, Burton A, Tamimi RM, Pereira A, Garmendia ML, Pollan M, Boyd N, Dos-Santos-Silva I, Maskarinec G, Perez-Gomez B, Vachon C, Miao H, Lajous M, López-Ridaura R, Bertrand K, Kwong A, Ursin G, Lee E, Ma H, Vinnicombe S, Moss S, Allen S, Ndumia R, Vinayak S, Teo SH, Mariapun S, Peplonska B, Bukowska-Damska A, Nagata C, Hopper J, Giles G, Ozmen V, Aribal ME, Schüz J, Van Gils CH, Wanders JOP, Sirous R, Sirous M, Hipwell J, Kim J, Lee JW, Dickens C, Hartman M, Chia KS, Scott C, Chiarelli AM, Linton L, Flugelman AA, Salem D, Kamal R, McCormack V, Stone J. The association of age at menarche and adult height with mammographic density in the International Consortium of Mammographic Density. Breast Cancer Res 2022; 24:49. [PMID: 35836268 PMCID: PMC9284807 DOI: 10.1186/s13058-022-01545-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/29/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Early age at menarche and tall stature are associated with increased breast cancer risk. We examined whether these associations were also positively associated with mammographic density, a strong marker of breast cancer risk. METHODS Participants were 10,681 breast-cancer-free women from 22 countries in the International Consortium of Mammographic Density, each with centrally assessed mammographic density and a common set of epidemiologic data. Study periods for the 27 studies ranged from 1987 to 2014. Multi-level linear regression models estimated changes in square-root per cent density (√PD) and dense area (√DA) associated with age at menarche and adult height in pooled analyses and population-specific meta-analyses. Models were adjusted for age at mammogram, body mass index, menopausal status, hormone therapy use, mammography view and type, mammographic density assessor, parity and height/age at menarche. RESULTS In pooled analyses, later age at menarche was associated with higher per cent density (β√PD = 0.023 SE = 0.008, P = 0.003) and larger dense area (β√DA = 0.032 SE = 0.010, P = 0.002). Taller women had larger dense area (β√DA = 0.069 SE = 0.028, P = 0.012) and higher per cent density (β√PD = 0.044, SE = 0.023, P = 0.054), although the observed effect on per cent density depended upon the adjustment used for body size. Similar overall effect estimates were observed in meta-analyses across population groups. CONCLUSIONS In one of the largest international studies to date, later age at menarche was positively associated with mammographic density. This is in contrast to its association with breast cancer risk, providing little evidence of mediation. Increased height was also positively associated with mammographic density, particularly dense area. These results suggest a complex relationship between growth and development, mammographic density and breast cancer risk. Future studies should evaluate the potential mediation of the breast cancer effects of taller stature through absolute breast density.
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Affiliation(s)
- Sarah V Ward
- School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Anya Burton
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372, Lyon Cedex 08, France
- Translation Health Sciences, University of Bristol, Bristol, UK
| | - Rulla M Tamimi
- Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, USA
| | - Ana Pereira
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile
| | | | - Marina Pollan
- Cancer and Environmental Epidemiology Unit, Instituto de Salud Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Norman Boyd
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Isabel Dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Beatriz Perez-Gomez
- Cancer and Environmental Epidemiology Unit, Instituto de Salud Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Celine Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Hui Miao
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore City, Singapore
| | - Martín Lajous
- Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | | | | | - Ava Kwong
- Division of Breast Surgery, Faculty of Medicine, University of Hong Kong, Pok Fu Lam, Hong Kong, China
- Department of Surgery and Cancer Genetics Center, Hong Kong Sanatorium and Hospital, Pok Fu Lam, Hong Kong, China
- Hong Kong Hereditary Breast Cancer Family Registry, Pok Fu Lam, Hong Kong, China
| | - Giske Ursin
- Cancer Registry of Norway, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eunjung Lee
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Huiyan Ma
- Department of Population Sciences, City of Hope National Medical Center, Duarte, CA, USA
| | - Sarah Vinnicombe
- Division of Cancer Research, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK
| | - Sue Moss
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Steve Allen
- Department of Imaging, Royal Marsden NHS Foundation Trust, London, UK
| | - Rose Ndumia
- Aga Khan University Hospital, Nairobi, Kenya
| | | | - Soo-Hwang Teo
- Breast Cancer Research Group, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia
- Cancer Research Malaysia, Subang Jaya, Malaysia
| | | | - Beata Peplonska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Łódź, Poland
| | - Agnieszka Bukowska-Damska
- Department of Physiology, Pathophysiology and Clinical Immunology,, Medical University of Lodz., Łódź, Poland
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu University, Gifu, Japan
| | - John Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Graham Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Vahit Ozmen
- Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Mustafa Erkin Aribal
- Department of Radiology, School of Medicine, Marmara University, Istanbul, Turkey
| | - Joachim Schüz
- School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Carla H Van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Johanna O P Wanders
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Reza Sirous
- Radiology Department, George Washington University Hospital, Washington, DC, USA
| | - Mehri Sirous
- Radiology Department, Isfahan University of Medical Sciences, Isfahan, Iran
| | - John Hipwell
- Centre for Medical Image Computing, University College London, London, UK
| | - Jisun Kim
- Asan Medical Center, Seoul, Republic of Korea
| | | | - Caroline Dickens
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore City, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
| | - Kee-Seng Chia
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Anna M Chiarelli
- Ontario Breast Screening Program, Cancer Care Ontario, Toronto, ON, Canada
| | - Linda Linton
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Anath Arzee Flugelman
- National Cancer Control Center, Lady Davis Carmel Medical Center, Faculty of Medicine, Technion-Israel Institute Technology, Haifa, Israel
| | - Dorria Salem
- Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo University Hospitals, Cairo, Egypt
| | - Rasha Kamal
- Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo University Hospitals, Cairo, Egypt
| | - Valerie McCormack
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372, Lyon Cedex 08, France.
| | - Jennifer Stone
- School of Population and Global Health, The University of Western Australia, Perth, Australia
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Flugelman AA, Burton A, Keinan‐Boker L, Stein N, Kutner D, Shemesh L, Boyd N. Correlation between cumulative mammographic density and age ‐ specific incidence of breast cancer: a bi‐ethnic study in israel. Int J Cancer 2022; 150:1968-1977. [DOI: 10.1002/ijc.33957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 01/08/2022] [Accepted: 01/18/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Anath A. Flugelman
- From Rambam Health Care Campus Technion‐Israel Institute of Technology Haifa Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion‐Israel Institute of Technology Haifa Israel
| | - Anya Burton
- National Cancer Registration and Analysis Service Bristol UK
| | - Lital Keinan‐Boker
- National Cancer Registry Center for Disease Control, Ministry of Health Ramat Gan
- School of Public Health University of Haifa Haifa Israel
| | - Nili Stein
- The Department of Community Medicine and Epidemiology Lady Davis Carmel Medical Center
- Clalit National Cancer Control Center Haifa Israel
| | - Dafna Kutner
- The Department of Community Medicine and Epidemiology Lady Davis Carmel Medical Center
- Clalit National Cancer Control Center Haifa Israel
| | - Lior Shemesh
- The Department of Community Medicine and Epidemiology Lady Davis Carmel Medical Center
- Clalit National Cancer Control Center Haifa Israel
| | - Norman Boyd
- Princess Margaret Cancer Center Toronto Ontario Canada
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5
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Yaffe MJ. Breast Density and Tomosynthesis. Radiology 2021; 301:569-570. [PMID: 34519580 DOI: 10.1148/radiol.2021211788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Martin J Yaffe
- From the Sunnybrook Research Institute, Department of Medical Biophysics, University of Toronto and Ontario Institute for Cancer Research, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Room S657, Toronto, ON, Canada M4N 3M5
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Patrão AL, de Almeida MDCC, Matos SMA, Menezes G, Gabrielli L, Goes EF, Aquino EML. Healthy lifestyle behaviors and the periodicity of mammography screening in Brazilian women. Womens Health (Lond Engl) 2021; 17:17455065211063294. [PMID: 34841999 PMCID: PMC8640279 DOI: 10.1177/17455065211063294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Introduction: Certain behaviors have been associated with health promotion, including mammography screening, in women worldwide. Objective: The objective of this study was to determine whether there is an association between the periodicity of mammography screening and healthy lifestyle behaviors in Brazilian women employed at a public university in Bahia, Brazil. Methods: A total of 635 women of 50–69 years of age at the time of the interview, from the Brazilian Longitudinal Study of Adult Health cohort who were resident in Bahia, participated in the study. Data were collected using a multidimensional questionnaire that included questions on participants’ sociodemographic characteristics and health-related behaviors (smoking, alcohol consumption, leisure-time physical activity and diet) and another questionnaire that dealt with risk factors and breast cancer screening. Measures of association were calculated using simple and multivariate logistic regression. Results: The practice of physical activity, not smoking, moderate alcohol consumption and a healthy diet were the health behaviors most adopted by the women who had last had a mammogram ⩽2 years previously (which is in line with the interval recommended by the Brazilian Ministry of Health). A statistically significant association was found between a lapse of ⩾3 years since last undergoing mammography screening and excessive alcohol consumption, while a borderline association was found between the same screening interval and leisure-time physical inactivity. Conclusion: There was an association between lifestyle risk behaviors and a longer time interval between mammography screenings. The present results contribute to the debate on the use of mammography, lifestyle behaviors and health promotion among women.
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Affiliation(s)
- Ana Luísa Patrão
- Center for Psychology, Faculty of Psychology and Education Science, University of Porto, Porto, Portugal
- Institute of Collective Health, Federal University of Bahia, Salvador, Brazil
- Ana Luísa Patrão, Center for Psychology, Faculty of Psychology and Education Science, University of Porto, Rua Alfredo Allen, 4099-002 Porto, Portugal.
| | | | | | - Greice Menezes
- Institute of Collective Health, Federal University of Bahia, Salvador, Brazil
| | - Ligia Gabrielli
- Institute of Collective Health, Federal University of Bahia, Salvador, Brazil
- Secretary of Health of the State of Bahia, Salvador, Brazil
| | - Emanuelle F Goes
- Center for Integrated Data and Information on Healthcare, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil
| | - Estela ML Aquino
- Institute of Collective Health, Federal University of Bahia, Salvador, Brazil
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7
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McBride RB, Fei K, Rothstein JH, Alexeeff SE, Song X, Sakoda LC, McGuire V, Achacoso N, Acton L, Liang RY, Lipson JA, Yaffe MJ, Rubin DL, Whittemore AS, Habel LA, Sieh W. Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women. Cancer Epidemiol Biomarkers Prev 2020; 29:1039-1048. [PMID: 32066618 PMCID: PMC7196522 DOI: 10.1158/1055-9965.epi-19-0348] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 07/27/2019] [Accepted: 02/07/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Percent density (PD) is a strong risk factor for breast cancer that is potentially modifiable by lifestyle factors. PD is a composite of the dense (DA) and nondense (NDA) areas of a mammogram, representing predominantly fibroglandular or fatty tissues, respectively. Alcohol and tobacco use have been associated with increased breast cancer risk. However, their effects on mammographic density (MD) phenotypes are poorly understood. METHODS We examined associations of alcohol and tobacco use with PD, DA, and NDA in a population-based cohort of 23,456 women screened using full-field digital mammography machines manufactured by Hologic or General Electric. MD was measured using Cumulus. Machine-specific effects were estimated using linear regression, and combined using random effects meta-analysis. RESULTS Alcohol use was positively associated with PD (P trend = 0.01), unassociated with DA (P trend = 0.23), and inversely associated with NDA (P trend = 0.02) adjusting for age, body mass index, reproductive factors, physical activity, and family history of breast cancer. In contrast, tobacco use was inversely associated with PD (P trend = 0.0008), unassociated with DA (P trend = 0.93), and positively associated with NDA (P trend<0.0001). These trends were stronger in normal and overweight women than in obese women. CONCLUSIONS These findings suggest that associations of alcohol and tobacco use with PD result more from their associations with NDA than DA. IMPACT PD and NDA may mediate the association of alcohol drinking, but not tobacco smoking, with increased breast cancer risk. Further studies are needed to elucidate the modifiable lifestyle factors that influence breast tissue composition, and the important role of the fatty tissues on breast health.
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Affiliation(s)
- Russell B McBride
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kezhen Fei
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Joseph H Rothstein
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Xiaoyu Song
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Valerie McGuire
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
| | - Ninah Achacoso
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Luana Acton
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Rhea Y Liang
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Jafi A Lipson
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Martin J Yaffe
- Departments of Medical Biophysics and Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Daniel L Rubin
- Department of Radiology, Stanford University School of Medicine, Stanford, California
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California
| | - Alice S Whittemore
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Weiva Sieh
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, New York.
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
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Taleban R, Sirous R, Sirous M, Razavi S, Taghvaei R, Sirous S, Khalighinejad F, Dehghani Firouzabadi A, Qobadi M, Dehghani Firouzabadi F, Moafi M, Zand K, Farajzadegan Z. The Relationship between Anthropometric Indices and Breast Cancer in Central Iran. Nutr Cancer 2019; 71:1276-1282. [PMID: 31025887 DOI: 10.1080/01635581.2019.1604005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background: Anthropometric indices have a debatable relationship with breast cancer (BC) among different ethnicity. In the current study, we have evaluated the relationship between anthropometric indices and BC in Iranian participants. Methods: Between 2012 and 2014, a total of 7,805 women were enrolled from different mammography centers in Isfahan province, Iran. For each participant, a detailed questionnaire was filled out and anthropometric indices were measured by trained technicians. We used logistic regression models to estimate odds ratios (OR) and 95% confidence interval (CI) for BC risk associated with anthropometry measurements, stratified on menopausal status. Results: In the postmenopausal group, weight ≥68 kg compared to weight <61.75 kg was associated with decreased risk of BC (OR = 0.78; 95% CI: 0.63-0.97). Postmenopausal women with Waist-Hip Ratio (WHR) ≥ 0.85 compared to WHR < 0.77 were at increased risk of BC (OR = 1.36; 95% CI: 1.07-1.73). Both premenopausal and postmenopausal women had a decreased risk of BC with higher Obesity Index (OI) and Relative Weight. Conclusion: Ethnicity appears to play an important role in the discrepancies between results of different studies about the correlation of anthropometric features with BC.
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Affiliation(s)
- Roya Taleban
- Department of Community Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Reza Sirous
- Department of Radiology, University of Maryland Medical Center , Baltimore , Maryland , USA
| | - Mehri Sirous
- Department of Radiology, Isfahan University of Medical Sciences , Isfahan , Iran
| | - Shamila Razavi
- Department of Surgery, Isfahan University of Medical Sciences , Isfahan , Iran
| | - Raheleh Taghvaei
- Department of Radiology, University of Pennsylvania , Philadelphia , Pennsylvania , USA
| | - Salimeh Sirous
- Resident of Surgery, Universität Duisburg-Essen , Duisburg , Nordrhein-Westfalen , Germany
| | - Farnaz Khalighinejad
- Department of Community Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Mina Qobadi
- Mississippi State Department of Health , Jackson , Mississippi , USA
| | | | - Mohammad Moafi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences , Isfahan, Iran
| | - Kevin Zand
- Department of Radiology, University of Mississippi Medical Center , Jackson , Mississippi , USA
| | - Ziba Farajzadegan
- Department of Community Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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Li T, Tang L, Gandomkar Z, Heard R, Mello-Thoms C, Xiao Q, Gu Y, Di G, Nickson C, Shao Z, Brennan P. Characteristics of Mammographic Breast Density and Associated Factors for Chinese Women: Results from an Automated Measurement. J Oncol 2019; 2019:4910854. [PMID: 31015834 DOI: 10.1155/2019/4910854] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 02/01/2019] [Accepted: 02/19/2019] [Indexed: 11/18/2022]
Abstract
Background Characteristics of mammographic density for Chinese women are understudied. This study aims to identify factors associated with mammographic density in China using a quantitative method. Methods Mammographic density was measured for a total of 1071 (84 with and 987 without breast cancer) women using an automatic algorithm AutoDensity. Pearson tests examined relationships between density and continuous variables and t-tests compared differences of mean density values between groupings of categorical variables. Linear models were built using multiple regression. Results Percentage density and dense area were positively associated with each other for cancer-free (r=0.487, p<0.001) and cancer groups (r=0.446, p<0.001), respectively. For women without breast cancer, weight and BMI (p<0.001) were found to be negatively associated (r=-0.237, r=-0.272) with percentage density whereas they were found to be positively associated (r=0.110, r=0.099) with dense area; age at mammography was found to be associated with percentage density (r=-0.202, p<0.001) and dense area (r=-0.086, p<0.001) but did not add any prediction within multivariate models; lower percentage density was found within women with secondary education background or below compared to women with tertiary education. For women with breast cancer, percentage density demonstrated similar relationships with that of cancer-free women whilst breast area was the only factor associated with dense area (r=0.739, p<0.001). Conclusion This is the first time that mammographic density was measured by a quantitative method for women in China and identified associations should be useful to health policy makers who are responsible for introducing effective models of breast cancer prevention and diagnosis.
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Athilat S, Joe C, Rodriguez CB, Terry MB, Tehranifar P. Childhood body size and midlife mammographic breast density in foreign-born and U.S.-born women in New York City. Ann Epidemiol 2018; 28:710-6. [PMID: 30172558 DOI: 10.1016/j.annepidem.2018.08.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 07/26/2018] [Accepted: 08/02/2018] [Indexed: 11/20/2022]
Abstract
PURPOSE We investigated whether childhood body size is associated with midlife mammographic density, a strong risk factor for breast cancer. METHODS We collected interview data, including body size at age 10 years using a pictogram, and measured height and weight from 518 women, recruited at the time of screening mammography in New York City (ages 40-64 years, 71% Hispanic, 68% foreign-born). We used linear regression models to examine childhood body size in relation to percent density and areas of dense and nondense tissue, measured using a computer-assisted method from digital mammograms. RESULTS In models that adjusted for race/ethnicity, and age and body mass index at mammogram, the heaviest relative to leanest childhood body size was associated with 5.94% lower percent density (95% confidence interval [CI]: -9.20, -2.29), 7.69 cm2 smaller dense area (95% CI: -13.94, -0.63), and 26.17 cm2 larger nondense area (95% CI: 9.42, 43.58). In stratified analysis by menopausal status and nativity, the observed associations were stronger for postmenopausal and U.S.-born women although these differences did not reach statistical significance. CONCLUSIONS Heavy childhood body size is associated with lower mammographic density, consistent with its associations with breast cancer risk. Suggestive findings by nativity require confirmation in larger samples.
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11
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Shaikh AJ, Mullooly M, Sayed S, Ndumia R, Abayo I, Orwa J, Wasike R, Moloo Z, Gierach GL. Mammographic Breast Density and Breast Cancer Molecular Subtypes: The Kenyan-African Aspect. Biomed Res Int 2018; 2018:6026315. [PMID: 29607324 DOI: 10.1155/2018/6026315] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 12/05/2017] [Indexed: 12/04/2022]
Abstract
Introduction Data examining mammographic breast density (MBD) among patients in Sub-Saharan Africa are sparse. We evaluated how MBD relates to breast cancer characteristics in Kenyan women undergoing diagnostic mammography. Methods This cross-sectional study included women with pathologically confirmed breast cancers (n = 123). Pretreatment mammograms of the unaffected breast were assessed to estimate absolute dense area (cm2), nondense area (cm2), and percent density (PD). Relationships between density measurements and clinical characteristics were evaluated using analysis of covariance. Results Median PD and dense area were 24.9% and 85.3 cm2. Higher PD and dense area were observed in younger women (P < 0.01). Higher dense and nondense areas were observed in obese women (P-trend < 0.01). Estrogen receptor (ER) positive patients (73%) had higher PD and dense area than ER-negative patients (P ≤ 0.02). Triple negative breast cancer (TNBC) patients (17%) had lower PD and dense area (P ≤ 0.01) compared with non-TNBCs. No associations were observed between MBD and tumor size and grade. Conclusions Our findings show discordant relationships between MBD and molecular tumor subtypes to those previously observed in Western populations. The relatively low breast density observed at diagnosis may have important implications for cancer prevention initiatives in Kenya. Subsequent larger studies are needed to confirm these findings.
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12
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Oppong BA, Dash C, O'Neill S, Li Y, Makambi K, Pien E, Makariou E, Coleman T, Adams-Campbell LL. Breast density in multiethnic women presenting for screening mammography. Breast J 2017; 24:334-338. [PMID: 29063662 DOI: 10.1111/tbj.12941] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Revised: 03/27/2017] [Accepted: 04/05/2017] [Indexed: 01/14/2023]
Abstract
Data on ethnic variations in breast density are limited and often not inclusive of underrepresented minorities. As breast density is associated with elevated breast cancer risk, investigating racial and ethnic difference may elucidate the observed differences in breast cancer risk among different populations. We reviewed breast density from initial screening of women from the Capital Breast Care Center and Georgetown University Hospital from 2010 to 2014. Patient demographics including race, age at screening, education, menopausal status, and body mass index were abstracted. We recorded the BI-RADS density categories: (1) "fatty," (2) "scattered fibroglandular densities," (3) "heterogeneously dense," and (4) "extremely dense." Multivariable unconditional logistic regression was used to identify predictors of breast density. Density categorization was recorded for 2146 women over the 5-year period, comprising Blacks (n = 940), Hispanics (n = 893), and Whites (n = 314). Analysis of subject characteristics by breast density showed that high category is observed in younger, Hispanic, nulliparous, premenopausal, and nonobese women (t-test or chi-square test, P-values <.0001). Obese women are 70% less likely to have high density. Being Hispanic, premenopausal, and nonobese were predictive of high density on logistic regression. In this analysis of density distribution in a diverse sample, Hispanic women have the highest breast density, followed by Blacks and Whites. Unique in our findings is women who identify as Hispanic have the highest breast density and lower rates of obesity. Further investigation of the impact of obesity on breast density, especially in the understudied Hispanic group is needed.
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Affiliation(s)
- Bridget A Oppong
- Department of Surgery, Georgetown University Hospital, Washington, DC, USA.,Georgetown University Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Chiranjeev Dash
- Georgetown University Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Suzanne O'Neill
- Georgetown University Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Yinan Li
- Department of Biostatics, Bioinformatics, and Biomathematics, Georgetown University Hospital, Washington, DC, USA
| | - Kepher Makambi
- Department of Biostatics, Bioinformatics, and Biomathematics, Georgetown University Hospital, Washington, DC, USA
| | - Edward Pien
- Department of Radiology, Georgetown University Hospital, Washington, DC, USA
| | - Erini Makariou
- Department of Radiology, Georgetown University Hospital, Washington, DC, USA
| | - Tesha Coleman
- Capital Breast Care Center, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC, USA
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13
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Özmen V, Gürdal SÖ, Cabioğlu N, Özcinar B, Özaydın AN, Kayhan A, Arıbal E, Sahin C, Saip P, Alagöz O. Cost-Effectiveness of Breast Cancer Screening in Turkey, a Developing Country: Results from Bahçeşehir Mammography Screening Project. Eur J Breast Health 2017; 13:117-122. [PMID: 28894850 DOI: 10.5152/ejbh.2017.3528] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 05/28/2017] [Indexed: 11/22/2022]
Abstract
OBJECTIVE We used the results from the first three screening rounds of Bahcesehir Mammography Screening Project (BMSP), a 10-year (2009-2019) and the first organized population-based screening program implemented in a county of Istanbul, Turkey, to assess the potential cost-effectiveness of a population-based mammography screening program in Turkey. MATERIALS AND METHODS Two screening strategies were compared: BMSP (includes three biennial screens for women between 40-69) and Turkish National Breast Cancer Registry Program (TNBCRP) which includes no organized population-based screening. Costs were estimated using direct data from the BMSP project and the reimbursement rates of Turkish Social Security Administration. The life-years saved by BMSP were estimated using the stage distribution observed with BMSP and TNBCRP. RESULTS A total of 67 women (out of 7234 screened women) were diagnosed with breast cancer in BMSP. The stage distribution for AJCC stages O, I, II, III, IV was 19.4%, 50.8%, 20.9%, 7.5%, 1.5% and 4.9%, 26.6%, 44.9%, 20.8%, 2.8% with BMSP and TNBCRP, respectively. The BMSP program is expected to save 279.46 life years over TNBCRP with an additional cost of $677.171, which implies an incremental cost-effectiveness ratio (ICER) of $2.423 per saved life year. Since the ICER is smaller than the Gross Demostic Product (GDP) per capita in Turkey ($10.515 in 2014), BMSP program is highly cost-effective and remains cost-effective in the sensitivity analysis. CONCLUSION Mammography screening may change the stage distribution of breast cancer in Turkey. Furthermore, an organized population-based screening program may be cost-effective in Turkey and in other developing countries. More research is needed to better estimate life-years saved with screening and further validate the findings of our study.
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Affiliation(s)
- Vahit Özmen
- Department of Surgery, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Turkey
| | - Sibel Ö Gürdal
- Departments of Surgery, Namık Kemal University School of Medicine, Tekirdağ, Turkey
| | - Neslihan Cabioğlu
- Department of Surgery, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Turkey
| | - Beyza Özcinar
- Department of Surgery, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Turkey
| | - A Nilüfer Özaydın
- Department of Public Health, Marmara University School of Medicine, İstanbul, Turkey
| | - Arda Kayhan
- Departments of Radiology, University Health Sciences, İstanbul Kanuni Sultan Süleyman Training and Research Hospital, İstanbul, Turkey
| | - Erkin Arıbal
- Department of Radiology, Marmara University School of Medicine, İstanbul, Turkey
| | - Cennet Sahin
- Department of Radiology, University Health Sciences, İstanbul Şisli Hamidiye Etfal Training and Research Hospital, İstanbul, Turkey
| | - Pınar Saip
- Department of Medical Oncology, İstanbul University School of Medicine, İstanbul, Turkey
| | - Oğuzhan Alagöz
- Department of Industrial & Systems Engineering and Population Health Sciences, UW Carbone Cancer Center, University of Wisconsin Hospital and Clinics, Madison, WI, USA
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Burton A, Maskarinec G, Perez-Gomez B, Vachon C, Miao H, Lajous M, López-Ridaura R, Rice M, Pereira A, Garmendia ML, Tamimi RM, Bertrand K, Kwong A, Ursin G, Lee E, Qureshi SA, Ma H, Vinnicombe S, Moss S, Allen S, Ndumia R, Vinayak S, Teo SH, Mariapun S, Fadzli F, Peplonska B, Bukowska A, Nagata C, Stone J, Hopper J, Giles G, Ozmen V, Aribal ME, Schüz J, Van Gils CH, Wanders JOP, Sirous R, Sirous M, Hipwell J, Kim J, Lee JW, Dickens C, Hartman M, Chia KS, Scott C, Chiarelli AM, Linton L, Pollan M, Flugelman AA, Salem D, Kamal R, Boyd N, dos-Santos-Silva I, McCormack V. Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide. PLoS Med 2017; 14:e1002335. [PMID: 28666001 PMCID: PMC5493289 DOI: 10.1371/journal.pmed.1002335] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 05/24/2017] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Mammographic density (MD) is one of the strongest breast cancer risk factors. Its age-related characteristics have been studied in women in western countries, but whether these associations apply to women worldwide is not known. METHODS AND FINDINGS We examined cross-sectional differences in MD by age and menopausal status in over 11,000 breast-cancer-free women aged 35-85 years, from 40 ethnicity- and location-specific population groups across 22 countries in the International Consortium on Mammographic Density (ICMD). MD was read centrally using a quantitative method (Cumulus) and its square-root metrics were analysed using meta-analysis of group-level estimates and linear regression models of pooled data, adjusted for body mass index, reproductive factors, mammogram view, image type, and reader. In all, 4,534 women were premenopausal, and 6,481 postmenopausal, at the time of mammography. A large age-adjusted difference in percent MD (PD) between post- and premenopausal women was apparent (-0.46 cm [95% CI: -0.53, -0.39]) and appeared greater in women with lower breast cancer risk profiles; variation across population groups due to heterogeneity (I2) was 16.5%. Among premenopausal women, the √PD difference per 10-year increase in age was -0.24 cm (95% CI: -0.34, -0.14; I2 = 30%), reflecting a compositional change (lower dense area and higher non-dense area, with no difference in breast area). In postmenopausal women, the corresponding difference in √PD (-0.38 cm [95% CI: -0.44, -0.33]; I2 = 30%) was additionally driven by increasing breast area. The study is limited by different mammography systems and its cross-sectional rather than longitudinal nature. CONCLUSIONS Declines in MD with increasing age are present premenopausally, continue postmenopausally, and are most pronounced over the menopausal transition. These effects were highly consistent across diverse groups of women worldwide, suggesting that they result from an intrinsic biological, likely hormonal, mechanism common to women. If cumulative breast density is a key determinant of breast cancer risk, younger ages may be the more critical periods for lifestyle modifications aimed at breast density and breast cancer risk reduction.
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Affiliation(s)
- Anya Burton
- Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France
| | - Gertraud Maskarinec
- University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | | | - Celine Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Hui Miao
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Martín Lajous
- Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | | | - Megan Rice
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Ana Pereira
- Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Maria Luisa Garmendia
- Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Rulla M. Tamimi
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kimberly Bertrand
- Slone Epidemiology Center, Boston University, Boston, Massachusetts, United States of America
| | - Ava Kwong
- Division of Breast Surgery, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
- Department of Surgery and Cancer Genetics Center, Hong Kong Sanatorium and Hospital, Hong Kong, China
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong, China
| | - Giske Ursin
- Cancer Registry of Norway, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, United States of America
| | - Eunjung Lee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, United States of America
| | - Samera A. Qureshi
- Norwegian Centre for Migrant and Minority Health (NAKMI), Oslo, Norway
| | - Huiyan Ma
- Department of Population Sciences, City of Hope National Medical Center, Duarte, California, United States of America
| | - Sarah Vinnicombe
- Division of Cancer Research, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | - Sue Moss
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom
| | - Steve Allen
- Department of Diagnostic Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Rose Ndumia
- Aga Khan University Hospital, Nairobi, Kenya
| | | | - Soo-Hwang Teo
- Breast Cancer Research Group, University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
- Cancer Research Malaysia, Subang Jaya, Malaysia
| | | | - Farhana Fadzli
- Breast Cancer Research Unit, Faculty of Medicine, University of Malaya Cancer Research Institute, University of Malaya, Kuala Lumpur, Malaysia
- Biomedical Imaging Department, University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
| | | | | | - Chisato Nagata
- Department of Epidemiology & Preventive Medicine, Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Jennifer Stone
- Centre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Western Australia, Australia
| | - John Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Graham Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Vahit Ozmen
- Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Mustafa Erkin Aribal
- Department of Radiology, School of Medicine, Marmara University, Istanbul, Turkey
| | - Joachim Schüz
- Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France
| | - Carla H. Van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Johanna O. P. Wanders
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Reza Sirous
- Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mehri Sirous
- Radiology Department, Isfahan University of Medical Sciences, Isfahan, Iran
| | - John Hipwell
- Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Jisun Kim
- Asan Medical Center, Seoul, Republic of Korea
| | | | - Caroline Dickens
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mikael Hartman
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Surgery, Yong Loo Lin School of Medicine, Singapore
| | - Kee-Seng Chia
- Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Anna M. Chiarelli
- Ontario Breast Screening Program, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Linda Linton
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Marina Pollan
- Instituto de Salud Carlos III, Madrid, Spain
- CIBERESP, Madrid, Spain
| | - Anath Arzee Flugelman
- National Cancer Control Center, Lady Davis Carmel Medical Center, Faculty of Medicine, Technion–Israel Institute of Technology, Haifa, Israel
| | - Dorria Salem
- Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo University Hospitals, Cairo, Egypt
| | - Rasha Kamal
- Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo University Hospitals, Cairo, Egypt
| | - Norman Boyd
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Isabel dos-Santos-Silva
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Valerie McCormack
- Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France
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15
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Byun J, Lee JE, Cha ES, Chung J, Kim JH. Visualization of Breast Microcalcifications on Digital Breast Tomosynthesis and 2-Dimensional Digital Mammography Using Specimens. Breast Cancer (Auckl) 2017; 11:1178223417703388. [PMID: 28469438 PMCID: PMC5391988 DOI: 10.1177/1178223417703388] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 03/09/2017] [Indexed: 11/23/2022]
Abstract
Purpose: The purpose of this study is to compare the visibility of microcalcifications of digital breast tomosynthesis (DBT) and full-field digital mammography (FFDM) using breast specimens. Materials And Methods: Thirty-one specimens’ DBT and FFDM were retrospectively reviewed by four readers. Results: The image quality of microcalcifications of DBT was rated as superior or equivalent in 71.0% by reader 1, 67.8% by reader 2, 64.5% by reader 3, and 80.6% by reader 4. The Fleiss kappa statistic for agreement among readers was 0.31. Conclusions: We suggest that image quality of DBT appears to be comparable with or better than FFDM in terms of revealing microcalcifications.
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Affiliation(s)
- Jieun Byun
- Department of Radiology, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Jee Eun Lee
- Department of Radiology, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Eun Suk Cha
- Department of Radiology, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Jin Chung
- Department of Radiology, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Jeoung Hyun Kim
- Department of Radiology, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
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16
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Burton A, Byrnes G, Stone J, Tamimi RM, Heine J, Vachon C, Ozmen V, Pereira A, Garmendia ML, Scott C, Hipwell JH, Dickens C, Schüz J, Aribal ME, Bertrand K, Kwong A, Giles GG, Hopper J, Pérez Gómez B, Pollán M, Teo SH, Mariapun S, Taib NAM, Lajous M, Lopez-Riduara R, Rice M, Romieu I, Flugelman AA, Ursin G, Qureshi S, Ma H, Lee E, Sirous R, Sirous M, Lee JW, Kim J, Salem D, Kamal R, Hartman M, Miao H, Chia KS, Nagata C, Vinayak S, Ndumia R, van Gils CH, Wanders JOP, Peplonska B, Bukowska A, Allen S, Vinnicombe S, Moss S, Chiarelli AM, Linton L, Maskarinec G, Yaffe MJ, Boyd NF, dos-Santos-Silva I, McCormack VA. Mammographic density assessed on paired raw and processed digital images and on paired screen-film and digital images across three mammography systems. Breast Cancer Res 2016; 18:130. [PMID: 27993168 PMCID: PMC5168805 DOI: 10.1186/s13058-016-0787-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 11/23/2016] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Inter-women and intra-women comparisons of mammographic density (MD) are needed in research, clinical and screening applications; however, MD measurements are influenced by mammography modality (screen film/digital) and digital image format (raw/processed). We aimed to examine differences in MD assessed on these image types. METHODS We obtained 1294 pairs of images saved in both raw and processed formats from Hologic and General Electric (GE) direct digital systems and a Fuji computed radiography (CR) system, and 128 screen-film and processed CR-digital pairs from consecutive screening rounds. Four readers performed Cumulus-based MD measurements (n = 3441), with each image pair read by the same reader. Multi-level models of square-root percent MD were fitted, with a random intercept for woman, to estimate processed-raw MD differences. RESULTS Breast area did not differ in processed images compared with that in raw images, but the percent MD was higher, due to a larger dense area (median 28.5 and 25.4 cm2 respectively, mean √dense area difference 0.44 cm (95% CI: 0.36, 0.52)). This difference in √dense area was significant for direct digital systems (Hologic 0.50 cm (95% CI: 0.39, 0.61), GE 0.56 cm (95% CI: 0.42, 0.69)) but not for Fuji CR (0.06 cm (95% CI: -0.10, 0.23)). Additionally, within each system, reader-specific differences varied in magnitude and direction (p < 0.001). Conversion equations revealed differences converged to zero with increasing dense area. MD differences between screen-film and processed digital on the subsequent screening round were consistent with expected time-related MD declines. CONCLUSIONS MD was slightly higher when measured on processed than on raw direct digital mammograms. Comparisons of MD on these image formats should ideally control for this non-constant and reader-specific difference.
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Affiliation(s)
- Anya Burton
- Section of Environment and Radiation, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon, Cedex 09, France
| | - Graham Byrnes
- Section of Environment and Radiation, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon, Cedex 09, France
| | - Jennifer Stone
- Centre for Genetic Origins of Health and Disease, Curtin University and the University of Western Australia, Perth, Australia
| | - Rulla M. Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | | | - Celine Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Vahit Ozmen
- Department of Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Ana Pereira
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile
| | | | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - John H. Hipwell
- Centre for Medical Image Computing, University College London, London, UK
| | - Caroline Dickens
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Joachim Schüz
- Section of Environment and Radiation, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon, Cedex 09, France
| | | | | | - Ava Kwong
- Division of Breast Surgery, Department of Surgery, The University of Hong Kong, Hong Kong, People’s Republic of China
- Department of Surgery, Hong Kong Sanatorium and Hospital, Hong Kong, People’s Republic of China
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria Australia
| | - John Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria Australia
| | - Beatriz Pérez Gómez
- Cancer Epidemiology Unit, Instituto de Salud Carlos III and CIBERESP, Madrid, Spain
| | - Marina Pollán
- Cancer Epidemiology Unit, Instituto de Salud Carlos III and CIBERESP, Madrid, Spain
| | - Soo-Hwang Teo
- Breast Cancer Research Group, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia
- Cancer Research Malaysia, Subang Jaya, Malaysia
| | | | - Nur Aishah Mohd Taib
- Breast Cancer Research Group, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia
| | - Martín Lajous
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA USA
- Center for Research on Population Health, Instituto Nacional de Salud Pública, Mexico City, Mexico
| | - Ruy Lopez-Riduara
- Center for Research on Population Health, Instituto Nacional de Salud Pública, Mexico City, Mexico
| | - Megan Rice
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Isabelle Romieu
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | | | - Giske Ursin
- Cancer Registry of Norway, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Samera Qureshi
- Norwegian Center for Minority and Migrant Health Research (NAKMI), Oslo, Norway
| | - Huiyan Ma
- Department of Population Sciences, Beckman Research Institute, City of Hope, CA USA
| | - Eunjung Lee
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Reza Sirous
- Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mehri Sirous
- Isfahan University of Medical Sciences, Isfahan, Iran
| | - Jong Won Lee
- Department of Surgery, Asan Medical Center, Seoul, Republic of Korea
| | - Jisun Kim
- Department of Surgery, Asan Medical Center, Seoul, Republic of Korea
| | | | - Rasha Kamal
- Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo University Hospitals, Cairo, Egypt
| | - Mikael Hartman
- Department of Surgery, Yong Loo Lin School of Medicine, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Hui Miao
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Kee-Seng Chia
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore
| | | | | | - Rose Ndumia
- Aga Khan University Hospital, Nairobi, Kenya
| | - Carla H. van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Johanna O. P. Wanders
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | - Steve Allen
- Department of Imaging, Royal Marsden NHS Foundation Trust, London, UK
| | - Sarah Vinnicombe
- Division of Cancer Research, Ninewells Hospital & Medical School, Dundee, UK
| | - Sue Moss
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Anna M. Chiarelli
- Ontario Breast Screening Program, Cancer Care Ontario, Toronto, Canada
| | - Linda Linton
- Princess Margaret Cancer Centre, Toronto, Canada
| | | | | | | | - Isabel dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Valerie A. McCormack
- Section of Environment and Radiation, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon, Cedex 09, France
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17
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Farajzadegan Z, Fathollahi-Dehkordi F, Hematti S, Sirous R, Tavakoli N, Rouzbahani R. The transtheoretical model, health belief model, and breast cancer screening among Iranian women with a family history of breast cancer. J Res Med Sci 2016; 21:122. [PMID: 28331508 PMCID: PMC5348838 DOI: 10.4103/1735-1995.193513] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 07/08/2016] [Accepted: 08/05/2016] [Indexed: 11/10/2022]
Abstract
Background: Participation of Iranian women with a family history of breast cancer in breast cancer screening programs is low. This study evaluates the compliance of women having a family history of breast cancer with clinical breast exam (CBE) according to the stage of transtheoretical model (TTM) and health belief model (HBM). Materials and Methods: In this cross-sectional study, we used Persian version of champion's HBM scale to collect factors associated with TTM stages applied to screening from women over 20 years and older. The obtained data were analyzed by SPSS, using descriptive statistics, Chi-square test, independent t-test, and analysis of covariance. Results: Final sample size was 162 women. Thirty-three percent were in action/maintenance stage. Older women, family history of breast cancer in first-degree relatives, personal history of breast disease, insurance coverage, and a history of breast self-examination were associated with action/maintenance stage. Furthermore, women in action/maintenance stages had significantly fewer perceived barriers in terms of CBE in comparison to women in other stages (P < 0.05). There was no significant difference in other HBM subscales scores between various stages of CBE screening behavior (P > 0.05). Conclusion: The finding indicates that the rate of women in action/maintenance stage of CBE is low. Moreover, results show a strong association between perceived barriers and having a regular CBE. These clarify the necessity of promoting national target programs for breast cancer screening, which should be considered as the first preference for reducing CBE barriers.
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Affiliation(s)
- Ziba Farajzadegan
- Department of Community Medicine, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Simin Hematti
- Department of Radiotherapy, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Reza Sirous
- Department of Radiology, University of Mississippi, Mississippi, USA
| | - Neda Tavakoli
- Department of Community Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Reza Rouzbahani
- Department of Community Medicine, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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18
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Turpin J, Ling C, Crosby EJ, Hartman ZC, Simond AM, Chodosh LA, Rennhack JP, Andrechek ER, Ozcelik J, Hallett M, Mills GB, Cardiff RD, Gray JW, Griffith OL, Muller WJ. The ErbB2ΔEx16 splice variant is a major oncogenic driver in breast cancer that promotes a pro-metastatic tumor microenvironment. Oncogene 2016; 35:6053-64. [PMID: 27157621 DOI: 10.1038/onc.2016.129] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 03/04/2016] [Accepted: 03/11/2016] [Indexed: 01/09/2023]
Abstract
Amplification and over expression of erbB2/neu proto-oncogene is observed in 20–30% human breast cancer and is inversely correlated with the survival of the patient. Despite this, somatic activating mutations within erbB2 in human breast cancers are rare. However, we have previously reported that a splice isoform of erbB2, containing an in-frame deletion of exon 16 (herein referred to as ErbB2ΔEx16), results in oncogenic activation of erbB2 due to constitutive dimerization of the ErbB2 receptor. Here, we demonstrate that the ErbB2ΔEx16 is a major oncogenic driver in breast cancer that constitutively signals from the cell surface. We further show that inducible expression of the ErbB2Ex16 variant in mammary gland of transgenic mice results in the rapid development of metastatic multifocal mammary tumors. Genetic and biochemical characterization of the ErbB2ΔEx16 derived mammary tumors exhibit several unique features that distinguish it from the conventional ErbB2 models expressing the erbB2 proto-oncogene in mammary epithelium. Unlike the wild-type ErbB2 derived tumors that express luminal keratins, ErbB2ΔEx16 derived tumors exhibit high degree of intra-tumoral heterogeneity co-expressing both basal and luminal keratins. Consistent with these distinct pathological features, the ErbB2ΔEx16 tumors exhibited distinct signaling and gene expression profiles that correlated with activation of number of key transcription factors implicated in breast cancer metastasis and cancer stem cell renewal.
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