Literature DB >> 20427429

Comparing breast cancer risk assessment models.

Mitchell H Gail, Phuong L Mai.   

Abstract

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Year:  2010        PMID: 20427429     DOI: 10.1093/jnci/djq141

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


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  48 in total

1.  A C-index for recurrent event data: Application to hospitalizations among dialysis patients.

Authors:  Sehee Kim; Douglas E Schaubel; Keith P McCullough
Journal:  Biometrics       Date:  2017-08-03       Impact factor: 2.571

2.  Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.

Authors:  Maxine Tan; Bin Zheng; Pandiyarajan Ramalingam; David Gur
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

3.  Twenty-five years of breast cancer risk models and their applications.

Authors:  Mitchell H Gail
Journal:  J Natl Cancer Inst       Date:  2015-02-26       Impact factor: 13.506

4.  Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry.

Authors:  Xingwei Wang; Dror Lederman; Jun Tan; Xiao Hui Wang; Bin Zheng
Journal:  Med Eng Phys       Date:  2011-04-08       Impact factor: 2.242

5.  Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk.

Authors:  Maxine Tan; Jiantao Pu; Samuel Cheng; Hong Liu; Bin Zheng
Journal:  Ann Biomed Eng       Date:  2015-04-08       Impact factor: 3.934

6.  Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.

Authors:  Morteza Heidari; Abolfazl Zargari Khuzani; Alan B Hollingsworth; Gopichandh Danala; Seyedehnafiseh Mirniaharikandehei; Yuchen Qiu; Hong Liu; Bin Zheng
Journal:  Phys Med Biol       Date:  2018-01-30       Impact factor: 3.609

7.  Assessment of global and local region-based bilateral mammographic feature asymmetry to predict short-term breast cancer risk.

Authors:  Yane Li; Ming Fan; Hu Cheng; Peng Zhang; Bin Zheng; Lihua Li
Journal:  Phys Med Biol       Date:  2018-01-09       Impact factor: 3.609

8.  Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.

Authors:  Shiju Yan; Yunzhi Wang; Faranak Aghaei; Yuchen Qiu; Bin Zheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-07-19       Impact factor: 2.924

9.  Incremental impact of breast cancer SNP panel on risk classification in a screening population of white and African American women.

Authors:  Anne Marie McCarthy; Katrina Armstrong; Elizabeth Handorf; Leigh Boghossian; Marisa Jones; Jinbo Chen; Mirar Bristol Demeter; Erin McGuire; Emily F Conant; Susan M Domchek
Journal:  Breast Cancer Res Treat       Date:  2013-03-10       Impact factor: 4.872

10.  Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model.

Authors:  Gillian S Dite; Maryam Mahmoodi; Adrian Bickerstaffe; Fleur Hammet; Robert J Macinnis; Helen Tsimiklis; James G Dowty; Carmel Apicella; Kelly-Anne Phillips; Graham G Giles; Melissa C Southey; John L Hopper
Journal:  Breast Cancer Res Treat       Date:  2013-06-18       Impact factor: 4.872

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