Literature DB >> 21727294

To screen or not to screen women in their 40s for breast cancer: is personalized risk-based screening the answer?

Jeanne S Mandelblatt, Natasha Stout, Amy Trentham-Dietz.   

Abstract

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Year:  2011        PMID： 21727294     DOI： 10.7326/0003-4819-155-1-201107050-00008

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN： 0003-4819            Impact factor:   25.391


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  7 in total

1.  Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.

Authors:  Brad M Keller; Diane L Nathan; Yan Wang; Yuanjie Zheng; James C Gee; Emily F Conant; Despina Kontos
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

2.  Reader variability in breast density estimation from full-field digital mammograms: the effect of image postprocessing on relative and absolute measures.

Authors:  Brad M Keller; Diane L Nathan; Sara C Gavenonis; Jinbo Chen; Emily F Conant; Despina Kontos
Journal:  Acad Radiol       Date:  2013-03-05       Impact factor: 3.173

3.  Breast Tumor Prognostic Characteristics and Biennial vs Annual Mammography, Age, and Menopausal Status.

Authors:  Diana L Miglioretti; Weiwei Zhu; Karla Kerlikowske; Brian L Sprague; Tracy Onega; Diana S M Buist; Louise M Henderson; Robert A Smith
Journal:  JAMA Oncol       Date:  2015-11       Impact factor: 31.777

Review 4.  Breast cancer screening in an era of personalized regimens: a conceptual model and National Cancer Institute initiative for risk-based and preference-based approaches at a population level.

Authors:  Tracy Onega; Elisabeth F Beaber; Brian L Sprague; William E Barlow; Jennifer S Haas; Anna N A Tosteson; Mitchell D Schnall; Katrina Armstrong; Marilyn M Schapira; Berta Geller; Donald L Weaver; Emily F Conant
Journal:  Cancer       Date:  2014-05-15       Impact factor: 6.860

Review 5.  Mammographic density and breast cancer risk: current understanding and future prospects.

Authors:  Norman F Boyd; Lisa J Martin; Martin J Yaffe; Salomon Minkin
Journal:  Breast Cancer Res       Date:  2011-11-01       Impact factor: 6.466

6.  Which strategies reduce breast cancer mortality most? Collaborative modeling of optimal screening, treatment, and obesity prevention.

Authors:  Jeanne Mandelblatt; Nicolien van Ravesteyn; Clyde Schechter; Yaojen Chang; An-Tsun Huang; Aimee M Near; Harry de Koning; Ahmedin Jemal
Journal:  Cancer       Date:  2013-04-26       Impact factor: 6.860

7.  Cost-effectiveness and harm-benefit analyses of risk-based screening strategies for breast cancer.

Authors:  Ester Vilaprinyo; Carles Forné; Misericordia Carles; Maria Sala; Roger Pla; Xavier Castells; Laia Domingo; Montserrat Rue
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240
  7 in total

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