Literature DB >> 24713501

Digital breast tomosynthesis utilization in the United States: a survey of physician members of the Society of Breast Imaging.

Lara A Hardesty1, Sarah M Kreidler2, Deborah H Glueck2.   

Abstract

PURPOSE: To assess utilization of digital breast tomosynthesis (DBT) and examine criteria for offering DBT to patients.
METHODS: We created an online survey for physician members of the Society of Breast Imaging to assess their use of DBT. The questions covered availability of DBT at the participant's practice, whether DBT was used for clinical care or research, clinical decision rules guiding patient selection for DBT, costs associated with DBT, plans to obtain DBT, and breast imaging practice characteristics. Fisher's exact tests and logistic regression were used to compare DBT users and nonusers.
RESULTS: In all, 670 members responded (response rate = 37%). Of these, 200 (30.0%) respondents reported using DBT, with 89% of these using DBT clinically. Participants were more likely to report DBT use if they worked at an academic practice (odds ratio [OR], 2.07; 95% confidence interval [CI], 1.41 to 3.03; P < .001), a practice with more than 3 breast imagers (OR, 2.36; 95% CI, 1.62 to 3.43; P < .001), or a practice with 7 or more mammography units (OR, 3.05; 95% CI, 2.11 to 4.39; P < .001). Criteria used to select patients to undergo DBT varied, with 107 (68.2%) using exam type (screening versus diagnostic), 25 (15.9%) using mammographic density, and 25 (15.9%) using breast cancer risk. Fees for DBT ranged from $25 to $250. In addition, 62.3% of nonusers planned to obtain DBT.
CONCLUSION: DBT is becoming more common but remains a limited resource. Clinical guidelines would assist practices in deciding whether to adopt DBT and in standardizing which patients should receive DBT.
Copyright © 2014 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Digital breast tomosynthesis; breast cancer; mammography

Mesh:

Year:  2014        PMID: 24713501     DOI: 10.1016/j.jacr.2013.11.025

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


  6 in total

1.  [Digital breast tomosynthesis].

Authors:  H Preibsch; K C Siegmann-Luz
Journal:  Radiologe       Date:  2015-01       Impact factor: 0.635

2.  Radiation-Induced Breast Cancer Incidence and Mortality From Digital Mammography Screening: A Modeling Study.

Authors:  Diana L Miglioretti; Jane Lange; Jeroen J van den Broek; Christoph I Lee; Nicolien T van Ravesteyn; Dominique Ritley; Karla Kerlikowske; Joshua J Fenton; Joy Melnikow; Harry J de Koning; Rebecca A Hubbard
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

3.  Supplemental Breast Imaging Utilization After Breast Density Legislation in North Carolina.

Authors:  Sarah J Nyante; Mary W Marsh; Thad Benefield; Kathryn Earnhardt; Sheila S Lee; Louise M Henderson
Journal:  J Am Coll Radiol       Date:  2019-07-01       Impact factor: 5.532

4.  A GPU-accelerated framework for individualized estimation of organ doses in digital tomosynthesis.

Authors:  Shobhit Sharma; Anuj Kapadia; Justin Brown; William Paul Segars; Wesley Bolch; Ehsan Samei
Journal:  Med Phys       Date:  2021-12-22       Impact factor: 4.071

5.  Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis.

Authors:  Ravi K Samala; Heang-Ping Chan; Lubomir M Hadjiiski; Mark A Helvie; Caleb Richter; Kenny Cha
Journal:  Phys Med Biol       Date:  2018-05-01       Impact factor: 3.609

6.  Diffusion of digital breast tomosynthesis among women in primary care: associations with insurance type.

Authors:  Cheryl R Clark; Tor D Tosteson; Anna N A Tosteson; Tracy Onega; Julie E Weiss; Kimberly A Harris; Jennifer S Haas
Journal:  Cancer Med       Date:  2017-04-04       Impact factor: 4.452

  6 in total

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