Hela Koka, Yuan Tian, Lu Deng, Kai Yu, Er-Ni Li, Changyuan Guo, Jennifer L Guida, Hyuna Sung, Ariane Chan, Nan Hu, Ning Lu, Gretchen L Gierach, Jing Li, Xiaohong R Yang
{"title":"中国女性乳房 X 线照相密度与乳腺癌风险因素的关系。","authors":"Hela Koka, Yuan Tian, Lu Deng, Kai Yu, Er-Ni Li, Changyuan Guo, Jennifer L Guida, Hyuna Sung, Ariane Chan, Nan Hu, Ning Lu, Gretchen L Gierach, Jing Li, Xiaohong R Yang","doi":"10.1158/1055-9965.EPI-24-1065","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Increased mammographic density (MD) is a known breast cancer risk factor, but its influencing factors are unclear in Asian populations. This study examined the links between known breast cancer risk factors and quantitatively measured MD in 7,351 Chinese women with nonmalignant mammographic findings.</p><p><strong>Methods: </strong>VolparaDensity software quantified volumetric MD measures: total breast volume (TBV), absolute dense volume (ADV), percent dense volume (PDV = ADV/TBV), and nondense volume (NDV = TBV - ADV). Multivariable linear regression models assessed associations between these MD metrics and breast cancer risk factors.</p><p><strong>Results: </strong>The mean age of the population was 50.1 (SD = 8.3) years. The mean ADV, NDV, and PDV were 58.4 cm3 (SD = 32.1), 382.8 cm3 (SD = 202.0), and 14.8 % (SD = 7.1), respectively. PDV was inversely associated with age, weight, body mass index (BMI), parity, breastfeeding duration, and postmenopausal status but positively linked to height and age at menopause. NDV showed opposite associations. ADV had similar associations to PDV, except for height, weight, and BMI, which differed for women with the lowest NDV. PDV associations with age at menarche, age at first birth, and breastfeeding duration varied by BMI and menopausal status.</p><p><strong>Conclusions: </strong>MD may influence the relationships between reproductive factors and breast cancer risk, depending on MD measure, menopausal status, and BMI.</p><p><strong>Impact: </strong>This study examines how quantitative MD measures relate to known breast cancer risk factors in an East Asian population, factoring in menopausal status and BMI. The results underscore the complex role of MD and confounding factors in breast cancer risk, highlighting the need for tailored insights for future research and screening.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":"260-269"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802310/pdf/","citationCount":"0","resultStr":"{\"title\":\"Mammographic Density in Relation to Breast Cancer Risk Factors among Chinese Women.\",\"authors\":\"Hela Koka, Yuan Tian, Lu Deng, Kai Yu, Er-Ni Li, Changyuan Guo, Jennifer L Guida, Hyuna Sung, Ariane Chan, Nan Hu, Ning Lu, Gretchen L Gierach, Jing Li, Xiaohong R Yang\",\"doi\":\"10.1158/1055-9965.EPI-24-1065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Increased mammographic density (MD) is a known breast cancer risk factor, but its influencing factors are unclear in Asian populations. This study examined the links between known breast cancer risk factors and quantitatively measured MD in 7,351 Chinese women with nonmalignant mammographic findings.</p><p><strong>Methods: </strong>VolparaDensity software quantified volumetric MD measures: total breast volume (TBV), absolute dense volume (ADV), percent dense volume (PDV = ADV/TBV), and nondense volume (NDV = TBV - ADV). Multivariable linear regression models assessed associations between these MD metrics and breast cancer risk factors.</p><p><strong>Results: </strong>The mean age of the population was 50.1 (SD = 8.3) years. The mean ADV, NDV, and PDV were 58.4 cm3 (SD = 32.1), 382.8 cm3 (SD = 202.0), and 14.8 % (SD = 7.1), respectively. PDV was inversely associated with age, weight, body mass index (BMI), parity, breastfeeding duration, and postmenopausal status but positively linked to height and age at menopause. NDV showed opposite associations. ADV had similar associations to PDV, except for height, weight, and BMI, which differed for women with the lowest NDV. PDV associations with age at menarche, age at first birth, and breastfeeding duration varied by BMI and menopausal status.</p><p><strong>Conclusions: </strong>MD may influence the relationships between reproductive factors and breast cancer risk, depending on MD measure, menopausal status, and BMI.</p><p><strong>Impact: </strong>This study examines how quantitative MD measures relate to known breast cancer risk factors in an East Asian population, factoring in menopausal status and BMI. The results underscore the complex role of MD and confounding factors in breast cancer risk, highlighting the need for tailored insights for future research and screening.</p>\",\"PeriodicalId\":9458,\"journal\":{\"name\":\"Cancer Epidemiology Biomarkers & Prevention\",\"volume\":\" \",\"pages\":\"260-269\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802310/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Epidemiology Biomarkers & Prevention\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1158/1055-9965.EPI-24-1065\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Epidemiology Biomarkers & Prevention","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/1055-9965.EPI-24-1065","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Mammographic Density in Relation to Breast Cancer Risk Factors among Chinese Women.
Background: Increased mammographic density (MD) is a known breast cancer risk factor, but its influencing factors are unclear in Asian populations. This study examined the links between known breast cancer risk factors and quantitatively measured MD in 7,351 Chinese women with nonmalignant mammographic findings.
Methods: VolparaDensity software quantified volumetric MD measures: total breast volume (TBV), absolute dense volume (ADV), percent dense volume (PDV = ADV/TBV), and nondense volume (NDV = TBV - ADV). Multivariable linear regression models assessed associations between these MD metrics and breast cancer risk factors.
Results: The mean age of the population was 50.1 (SD = 8.3) years. The mean ADV, NDV, and PDV were 58.4 cm3 (SD = 32.1), 382.8 cm3 (SD = 202.0), and 14.8 % (SD = 7.1), respectively. PDV was inversely associated with age, weight, body mass index (BMI), parity, breastfeeding duration, and postmenopausal status but positively linked to height and age at menopause. NDV showed opposite associations. ADV had similar associations to PDV, except for height, weight, and BMI, which differed for women with the lowest NDV. PDV associations with age at menarche, age at first birth, and breastfeeding duration varied by BMI and menopausal status.
Conclusions: MD may influence the relationships between reproductive factors and breast cancer risk, depending on MD measure, menopausal status, and BMI.
Impact: This study examines how quantitative MD measures relate to known breast cancer risk factors in an East Asian population, factoring in menopausal status and BMI. The results underscore the complex role of MD and confounding factors in breast cancer risk, highlighting the need for tailored insights for future research and screening.
期刊介绍:
Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; implementation science and cancer care delivery; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.