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Mammography

About: Mammography is a research topic. Over the lifetime, 20643 publications have been published within this topic receiving 513679 citations.


Papers
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Journal ArticleDOI
TL;DR: The mammography self-efficacy scale evidenced content and construct validity and Construct validity was measured using confirmatory factor analysis and logistic regression and Bandura's model guided item development.
Abstract: Mammography screening has been demonstrated to decrease mortality from breast cancer. Although adherence rates have increased, there is still a need to increase annual screening. Self-efficacy is a construct that has been found useful in predicting behaviors. Measurement of self- efficacy needs to be specific to the behavior and to have good validity and reliability. The purpose of this study is to describe development of a self- efficacy instrument to measure confidence in obtaining a mammogram. Bandura's model guided item development. Construct validity was measured using confirmatory factor analysis and logistic regression. Cronbach alpha was used to test internal consistency reliability. A Cronbach alpha coefficient of .87 was obtained. The mammography self-efficacy scale evidenced content and construct validity. 2005 Wiley Periodicals, Inc. Res Nurs Health 28:329-336, 2005

151 citations

Journal ArticleDOI
TL;DR: The addition of DBT increased the sensitivity of 2D mammography in patients with dense breasts and the specificity of 2 D mammography for all subgroups, and the use of synthetic 2D DBT demonstrated performance similar to that of standard 2D Mammography with DBT.
Abstract: In this retrospective reading study, we demonstrated a clear improvement in diagnostic accuracy of two-dimensional (2D) mammography with the use of 2D or synthetic 2D mammography plus digital breast tomosynthesis compared with 2D mammography alone, with a significant reduction (56%) in odds of receiving false-positive results.

151 citations

Book
01 Jan 1999

151 citations

Journal ArticleDOI
01 Oct 1990-Cancer
TL;DR: A model for breast cancer screening has been developed that reproduces the detection rates and the incidence of interval cancers as observed in the recent screening projects in Utrecht and Nijmegen, the Netherlands.
Abstract: A model for breast cancer screening has been developed. When the appropriate screening policy is specified, the model reproduces the detection rates and the incidence of interval cancers as observed in the recent screening projects in Utrecht and Nijmegen, the Netherlands. The model-predicted mortality rate reduction is in accordance with the results of the Kopparberg/Ostergotland randomized trial in Sweden. Key parameters of the model are the duration of the preclinical stages and the sensitivity of mammography. The average duration is approximately 2 years at age 40 and increases to approximately 5 years at age 70. The sensitivity is high (approximately 95%) for tumors larger than 1 cm. The model is used in the prospective evaluation of effects and costs of various screening policies.

151 citations

Journal ArticleDOI
TL;DR: The combination of SELDI ProteinChip mass spectrometry and a classification- and regression-tree algorithm has the potential to use serum protein expression profiles for detection and diagnosis of breast cancer.

151 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023970
20221,954
2021847
2020852
2019865
2018852