Literature DB >> 16878575

Quality control for digital mammography in the ACRIN DMIST trial: part I.

Aili K Bloomquist1, Martin J Yaffe, Etta D Pisano, R Edward Hendrick, Gordon E Mawdsley, Stewart Bright, Sam Z Shen, Mahadevappa Mahesh, Edward L Nickoloff, Richard C Fleischman, Mark B Williams, Andrew D A Maidment, Daniel J Beideck, Joseph Och, J A Seibert.   

Abstract

The Digital Mammography Imaging Screening Trial, conducted by the American College of Radiology Imaging Network, is a clinical trial designed to compare the accuracy of full-field digital mammography (FFDM) versus screen-film mammography in a screening population. Five FFDM systems from four manufacturers (Fischer, Fuji, General Electric, and Lorad) were employed in the study at 35 clinical sites. A core physics team devised and implemented tests to evaluate these systems. A detailed description of physics and quality control tests is presented, including estimates of: mean glandular dose, modulation transfer function (MTF), 2D noise power spectra, and signal-to-noise ratio (SNR). The mean glandular doses for the standard breast ranged from 0.79 to 2.98 mGy, with 1.62 mGy being the average across all units and machine types. For the five systems evaluated, the MTF dropped to 50% at markedly different percentages (22% to 87%) of the Nyquist limit, indicating that factors other than detector element (del) size have an important effect on spatial resolution. Noise power spectra and SNR were measured; however, we found that it was difficult to standardize and compare these between units. For each machine type, the performance as measured by the tests was very consistent, and no predictive benefit was seen for many of the tests during the 2-year period of the trial. It was found that, after verification of proper operation during acceptance testing, if systems failed they generally did so suddenly rather than through gradual deterioration of performance. Because of the relatively short duration of this study further, investigation of the long-term failure characteristics of these systems is advisable.

Mesh:

Year:  2006        PMID: 16878575     DOI: 10.1118/1.2163407

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  15 in total

1.  Computer modeling of the spatial resolution properties of a dedicated breast CT system.

Authors:  Kai Yang; Alexander L C Kwan; John M Boone
Journal:  Med Phys       Date:  2007-06       Impact factor: 4.071

Review 2.  Digital mammography: what do we and what don't we know?

Authors:  Ulrich Bick; Felix Diekmann
Journal:  Eur Radiol       Date:  2007-02-14       Impact factor: 5.315

3.  The optimal optical readout for the x-ray light valve--document scanners.

Authors:  P Oakham; Robert D MacDougall; J A Rowlands
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  Imaging performance of an amorphous selenium digital mammography detector in a breast tomosynthesis system.

Authors:  Bo Zhao; Wei Zhao
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

5.  A multiparametric automatic method to monitor long-term reproducibility in digital mammography: results from a regional screening programme.

Authors:  G Gennaro; A Ballaminut; G Contento
Journal:  Eur Radiol       Date:  2017-01-27       Impact factor: 5.315

6.  ACR-AAPM-SIIM practice guideline for determinants of image quality in digital mammography.

Authors:  Kalpana M Kanal; Elizabeth Krupinski; Eric A Berns; William R Geiser; Andrew Karellas; Martha B Mainiero; Melissa C Martin; Samir B Patel; Daniel L Rubin; Jon D Shepard; Eliot L Siegel; Judith A Wolfman; Tariq A Mian; Mary C Mahoney
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

Review 7.  Research in digital mammography and tomosynthesis at the University of Toronto.

Authors:  Martin J Yaffe
Journal:  Radiol Phys Technol       Date:  2014-06-25

8.  Dual-energy contrast-enhanced breast tomosynthesis: optimization of beam quality for dose and image quality.

Authors:  Ehsan Samei; Robert S Saunders
Journal:  Phys Med Biol       Date:  2011-09-09       Impact factor: 3.609

9.  Cancer cases from ACRIN digital mammographic imaging screening trial: radiologist analysis with use of a logistic regression model.

Authors:  Etta D Pisano; Suddhasatta Acharyya; Elodia B Cole; Helga S Marques; Martin J Yaffe; Meredith Blevins; Emily F Conant; R Edward Hendrick; Janet K Baum; Laurie L Fajardo; Roberta A Jong; Marcia A Koomen; Cherie M Kuzmiak; Yeonhee Lee; Dag Pavic; Sora C Yoon; Wittaya Padungchaichote; Constantine Gatsonis
Journal:  Radiology       Date:  2009-08       Impact factor: 11.105

10.  Dedicated breast CT: geometric design considerations to maximize posterior breast coverage.

Authors:  Srinivasan Vedantham; Andrew Karellas; Margaret M Emmons; Lawrence J Moss; Sarwat Hussain; Stephen P Baker
Journal:  Phys Med Biol       Date:  2013-05-17       Impact factor: 3.609

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