Literature DB >> 19616154

Screening and prevention of breast cancer in primary care.

Jeffrey A Tice1, Karla Kerlikowske.   

Abstract

Mammography remains the mainstay of breast cancer screening. There is little controversy that mammography reduces the risk of dying from breast cancer by about 23% among women between the ages of 50 and 69 years, although the harms associated with false-positive results and overdiagnosis limit the net benefit of mammography. Women in their 70s may have a small benefit from screening mammography, but overdiagnosis increases in this age group as do competing causes of death. While new data support a 16% reduction in breast cancer mortality for 40- to 49-year-old women after 10 years of screening, the net benefit is less compelling in part because of the lower incidence of breast cancer in this age group and because mammography is less sensitive and specific in women younger than 50 years. Digital mammography is more sensitive than film mammography in young women with similar specificity, but no improvements in breast cancer outcomes have been demonstrated. Magnetic resonance imaging may benefit the highest risk women. Randomized trials suggest that self-breast examination does more harm than good. Primary prevention with currently approved medications will have a negligible effect on breast cancer incidence. Public health efforts aimed at increasing mammography screening rates, promoting regular exercise in all women, maintaining a healthy weight, limiting alcohol intake, and limiting postmenopausal hormone therapy may help to continue the recent trend of lower breast cancer incidence and mortality among American women.

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Year:  2009        PMID: 19616154     DOI: 10.1016/j.pop.2009.04.003

Source DB:  PubMed          Journal:  Prim Care        ISSN: 0095-4543            Impact factor:   2.907


  8 in total

1.  Adaptive multi-cluster fuzzy C-means segmentation of breast parenchymal tissue in digital mammography.

Authors:  Brad Keller; Diane Nathan; Yan Wang; Yuanjie Zheng; James Gee; Emily Conant; Despina Kontos
Journal:  Med Image Comput Comput Assist Interv       Date:  2011

2.  Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment.

Authors:  Despina Kontos; Lynda C Ikejimba; Predrag R Bakic; Andrea B Troxel; Emily F Conant; Andrew D A Maidment
Journal:  Radiology       Date:  2011-07-19       Impact factor: 11.105

3.  Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations.

Authors:  Aimilia Gastounioti; Andrew Oustimov; Brad M Keller; Lauren Pantalone; Meng-Kang Hsieh; Emily F Conant; Despina Kontos
Journal:  Med Phys       Date:  2016-11       Impact factor: 4.071

4.  A minimum spanning forest based classification method for dedicated breast CT images.

Authors:  Robert Pike; Ioannis Sechopoulos; Baowei Fei
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

5.  Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line Detection.

Authors:  Dong Wei; Susan Weinstein; Meng-Kang Hsieh; Lauren Pantalone; Despina Kontos
Journal:  IEEE Trans Biomed Eng       Date:  2018-10-15       Impact factor: 4.538

6.  Fully automatic quantification of fibroglandular tissue and background parenchymal enhancement with accurate implementation for axial and sagittal breast MRI protocols.

Authors:  Dong Wei; Nariman Jahani; Eric Cohen; Susan Weinstein; Meng-Kang Hsieh; Lauren Pantalone; Despina Kontos
Journal:  Med Phys       Date:  2020-11-27       Impact factor: 4.071

7.  Screening High-Risk Women Veterans for Breast Cancer.

Authors:  Yeun-Hee Anna Park; Alison Keller; Ta-Chueh Melody Hsu; Balmatee Bidassie; Vickie Venne; Douglas Hawley; Lori Hoffman-Högg; Bernadette Heron; Sarah Colonna; Anita Aggarwal
Journal:  Fed Pract       Date:  2021-05

8.  Assessing the Key Attributes of Low Utilization of Mammography Screening and Breast-self Exam among African-American Women.

Authors:  Rupak Chowdhury; Nganwa David; Asseged Bogale; Shami Nandy; T Habtemariam; Berhanu Tameru
Journal:  J Cancer       Date:  2016-02-12       Impact factor: 4.207

  8 in total

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