Literature DB >> 12955035

Relationship between mammographic density and the risk of breast cancer in Japanese women: a case-control study.

Yasuko Nagao1, Yoshihiro Kawaguchi, Yasuyuki Sugiyama, Shietoyo Saji, Yoshitomo Kashiki.   

Abstract

BACKGROUND: The relationship between mammographic density and the risk of breast cancer was examined in Japanese women. The study was a matched case-control study comparing the mammographic densities of both breast cancer cases and healthy controls.
MATERIALS AND METHODS: We selected 237 women who were diagnosed with a histologically verified breast cancer, and who underwent surgery at Gihoku General Hospital in Gifu, from January, 1998 to December, 1999. During the time of this study, 3,650 people participated in breast cancer screening with mammography and ultrasound together. We selected 742 women as a control group from the screening participants and matched them by age and the number of deliveries with the cancer patients. The same mammography machine was used for both cases and controls. For evaluation, we used a visual method (Wolfe's classification) and a computer assisted method to classify the mammograms based on mammographic density.
RESULTS: (1) According to Wolfe's classification, the DY group had a significantly increased breast cancer risk compared with the N1 group (Relative risk (RR)=2.20, 95% confidence interval (95%CI) (1.02-4.77). (2) The group showing a high mammographic density had a significantly increased risk of breast cancer compared with the group with low mammographic density (RR=2.83, 95%CI=1.33-5.98) as classified by the computer assisted method.
CONCLUSION: It is suggested that women with high mammographic densities, classified visually or by computer, have an elevated risk of breast cancer compared with those with low mammographic densities.

Entities:  

Mesh:

Year:  2003        PMID: 12955035     DOI: 10.1007/BF02966722

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  11 in total

1.  Automatic classification of mammography reports by BI-RADS breast tissue composition class.

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Journal:  J Am Med Inform Assoc       Date:  2012-01-29       Impact factor: 4.497

2.  Thermal distribution analysis of three-dimensional tumor-embedded breast models with different breast density compositions.

Authors:  Asnida Abd Wahab; Maheza Irna Mohamad Salim; Mohamad Asmidzam Ahamat; Noraida Abd Manaf; Jasmy Yunus; Khin Wee Lai
Journal:  Med Biol Eng Comput       Date:  2015-10-13       Impact factor: 2.602

3.  Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.

Authors:  Jeff Wang; Fumi Kato; Hiroko Yamashita; Motoi Baba; Yi Cui; Ruijiang Li; Noriko Oyama-Manabe; Hiroki Shirato
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

Review 4.  Current status of AYA-generation breast cancer: trends worldwide and in Japan.

Authors:  Manabu Futamura; Kazuhiro Yoshida
Journal:  Int J Clin Oncol       Date:  2021-12-18       Impact factor: 3.402

5.  Association between mammographic breast composition and breast cancer risk among Japanese women: a retrospective cohort study.

Authors:  Toshifumi Namba; Naoko Matsuda; Mahbubur Rahman; Naoki Kanomata; Hideko Yamauchi; Hiroko Tsunoda
Journal:  Breast Cancer       Date:  2022-07-13       Impact factor: 3.307

6.  Texture features from mammographic images and risk of breast cancer.

Authors:  Armando Manduca; Michael J Carston; John J Heine; Christopher G Scott; V Shane Pankratz; Kathy R Brandt; Thomas A Sellers; Celine M Vachon; James R Cerhan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-03       Impact factor: 4.254

7.  High-density lipoprotein cholesterol, obesity, and mammographic density in Korean women: the Healthy Twin study.

Authors:  Joohon Sung; Yun-Mi Song; Jennifer Stone; Kayoung Lee; Sun-Young Kim
Journal:  J Epidemiol       Date:  2010-11-06       Impact factor: 3.211

8.  Comparison of the association of mammographic density and clinical factors with ductal carcinoma in situ versus invasive ductal breast cancer in Korean women.

Authors:  Hyeonyoung Ko; Jinyoung Shin; Jeong Eon Lee; Seok Jin Nam; Tuong Linh Nguyen; John Llewelyn Hopper; Yun-Mi Song
Journal:  BMC Cancer       Date:  2017-12-05       Impact factor: 4.430

9.  Accuracy of clinical diagnosis, mammography and ultrasonography in preoperative assessment of breast cancer.

Authors:  Augustina Badu-Peprah; Yaw Adu-Sarkodie
Journal:  Ghana Med J       Date:  2018-09

Review 10.  Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies.

Authors:  Jong-Myon Bae; Eun Hee Kim
Journal:  J Prev Med Public Health       Date:  2016-10-21
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