Literature DB >> 31070674

New Federal Requirements to Inform Patients About Breast Density: Will They Help Patients?

Nancy L Keating1,2, Lydia E Pace2,3.   

Abstract

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Year:  2019        PMID： 31070674     DOI： 10.1001/jama.2019.5919

Source DB:  PubMed          Journal:  JAMA        ISSN： 0098-7484            Impact factor:   56.272


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  12 in total

1.  Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance.

Authors:  Degan Hao; Lei Zhang; Jules Sumkin; Aly Mohamed; Shandong Wu
Journal:  IEEE J Biomed Health Inform       Date:  2020-02-17       Impact factor: 5.772

2.  Women's Reports of Dense Breast Notification Following Mammography: Findings from the 2015 National Health Interview Survey.

Authors:  Thomas B Richards; Sabitha Dasari; Susan A Sabatino; Jin Qin; Jacqueline W Miller; Mary C White
Journal:  J Gen Intern Med       Date:  2020-01-06       Impact factor: 5.128

3.  Dense Breast Notification Legislation: More Reasons for Caution.

Authors:  Lydia E Pace
Journal:  J Gen Intern Med       Date:  2020-07       Impact factor: 5.128

4.  Dense Breast Notification Laws, Education, and Women's Awareness and Knowledge of Breast Density: a Nationally Representative Survey.

Authors:  Kelly A Kyanko; Jessica Hoag; Susan H Busch; Jenerius A Aminawung; Xiao Xu; Ilana B Richman; Cary P Gross
Journal:  J Gen Intern Med       Date:  2020-01-08       Impact factor: 5.128

5.  Incorporating Baseline Breast Density When Screening Women at Average Risk for Breast Cancer : A Cost-Effectiveness Analysis.

Authors:  Ya-Chen Tina Shih; Wenli Dong; Ying Xu; Ruth Etzioni; Yu Shen
Journal:  Ann Intern Med       Date:  2021-02-09       Impact factor: 25.391

6.  Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus.

Authors:  Veronica Magni; Matteo Interlenghi; Andrea Cozzi; Marco Alì; Christian Salvatore; Alcide A Azzena; Davide Capra; Serena Carriero; Gianmarco Della Pepa; Deborah Fazzini; Giuseppe Granata; Caterina B Monti; Giulia Muscogiuri; Giuseppe Pellegrino; Simone Schiaffino; Isabella Castiglioni; Sergio Papa; Francesco Sardanelli
Journal:  Radiol Artif Intell       Date:  2022-03-16

7.  New mammography screening performance metrics based on the entire screening episode.

Authors:  Brian L Sprague; Diana L Miglioretti; Christoph I Lee; Hannah Perry; Anna A N Tosteson; Karla Kerlikowske
Journal:  Cancer       Date:  2020-05-06       Impact factor: 6.860

8.  The Impact of Breast Density Information or Notification on Women's Cognitive, Psychological, and Behavioral Outcomes: A Systematic Review.

Authors:  Brooke Nickel; Tessa Copp; Meagan Brennan; Rachel Farber; Kirsten McCaffery; Nehmat Houssami
Journal:  J Natl Cancer Inst       Date:  2021-10-01       Impact factor: 13.506

Review 9.  Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review.

Authors:  Barbara Kenner; Suresh T Chari; David Kelsen; David S Klimstra; Stephen J Pandol; Michael Rosenthal; Anil K Rustgi; James A Taylor; Adam Yala; Noura Abul-Husn; Dana K Andersen; David Bernstein; Søren Brunak; Marcia Irene Canto; Yonina C Eldar; Elliot K Fishman; Julie Fleshman; Vay Liang W Go; Jane M Holt; Bruce Field; Ann Goldberg; William Hoos; Christine Iacobuzio-Donahue; Debiao Li; Graham Lidgard; Anirban Maitra; Lynn M Matrisian; Sung Poblete; Laura Rothschild; Chris Sander; Lawrence H Schwartz; Uri Shalit; Sudhir Srivastava; Brian Wolpin
Journal:  Pancreas       Date:  2021-03-01       Impact factor: 3.243

10.  Understanding the response of mammography facilities to breast density notification.

Authors:  Louise M Henderson; Mary W Marsh; Kathryn Earnhardt; Michael Pritchard; Thad S Benefield; Robert P Agans; Sheila S Lee
Journal:  Cancer       Date:  2020-09-14       Impact factor: 6.860
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