Literature DB >> 17411824

Promoting an ethical approach to unproven screening imaging tests.

Evelyn C Y Chan1.   

Abstract

The use of screening imaging technology such as electron beam computed tomography and computed tomographic scans for the early detection of coronary artery disease, lung cancer, and other diseases is rising, even though they have not been proven to reduce disease-specific mortality. Until randomized, controlled trials assess the efficacy of these tests as screening tests, they will remain controversial. It is unclear whether the potential benefits of these screening tests outweigh the risks. In a practice environment in which public demand and enthusiasm for screening is high, radiologists can recognize the ethical issues associated with unproven screening imaging tests; understand current national policies toward professionalism and informed and shared decision making for screening; draw on the lessons learned from the proliferation of another unproven screening test, the prostate-specific antigen blood test for prostate cancer; and work with others in the health care system to promote an ethical approach to screening imaging tests.

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Mesh:

Year:  2005        PMID: 17411824     DOI: 10.1016/j.jacr.2004.09.012

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  5 in total

Review 1.  Is there a rationale for bladder cancer screening?

Authors:  Robert S Svatek; Yair Lotan
Journal:  Curr Urol Rep       Date:  2008-09       Impact factor: 3.092

2.  Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors.

Authors:  Jagpreet Chhatwal; Oguzhan Alagoz; Elizabeth S Burnside
Journal:  Oper Res       Date:  2010-11-01       Impact factor: 3.310

3.  Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.

Authors:  Turgay Ayer; Oguzhan Alagoz; Jagpreet Chhatwal; Jude W Shavlik; Charles E Kahn; Elizabeth S Burnside
Journal:  Cancer       Date:  2010-07-15       Impact factor: 6.860

4.  What is the optimal threshold at which to recommend breast biopsy?

Authors:  Elizabeth S Burnside; Jagpreet Chhatwal; Oguzhan Alagoz
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

5.  Artificial neural networks in mammography interpretation and diagnostic decision making.

Authors:  Turgay Ayer; Qiushi Chen; Elizabeth S Burnside
Journal:  Comput Math Methods Med       Date:  2013-05-26       Impact factor: 2.238

  5 in total

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