Literature DB >> 20036584

Time to diagnosis and performance levels during repeat interpretations of digital breast tomosynthesis: preliminary observations.

Margarita L Zuley1, Andriy I Bandos, Gordon S Abrams, Cathy Cohen, Christiane M Hakim, Jules H Sumkin, John Drescher, Howard E Rockette, David Gur.   

Abstract

RATIONALE AND
OBJECTIVES: To compare time to interpretation and diagnostic performance levels during repeat readings of full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) in a retrospective study.
MATERIALS AND METHODS: Three experienced radiologists twice interpreted 125 selected examinations, 35 with verified cancers and 90 negative for cancer during a period of 22 months using FFDM alone followed by a combined FFDM + DBT mode. Changes in time to "review and rate" these examinations as well as in diagnostic performance levels where assessed. A fixed-effect analysis accounting for cross-correlation due to the review of the same examinations by the same readers was performed.
RESULTS: The total (combined) time to review and rate an examination increased on average by 33% between the first and second readings of the same examinations (P < .001). Radiologists reduced their time to review FFDM before making the DBT available for viewing. However, they spent more time reviewing the combined FFDM + DBT mode. The recall rates for examinations depicting cancer remained largely unchanged. Among the groups of examinations with concordant and discordant recall recommendations during the two readings only the group examinations that were "newly recalled" during repeat reading, took significantly longer (P < .01).
CONCLUSION: DBT-based breast imaging may ultimately result in a substantial increase in performance; however, without efficiency improvements DBT may take longer to interpret. Addition of "false-positive recalls" was most strongly associated with increase in interpretation time while elimination of "false-positive recalls" did not require longer interpretation time. Copyright 2010 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20036584     DOI: 10.1016/j.acra.2009.11.011

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  13 in total

1.  Digital breast tomosynthesis: computer-aided detection of clustered microcalcifications on planar projection images.

Authors:  Ravi K Samala; Heang-Ping Chan; Yao Lu; Lubomir M Hadjiiski; Jun Wei; Mark A Helvie
Journal:  Phys Med Biol       Date:  2014-11-13       Impact factor: 3.609

2.  Digital breast tomosynthesis is comparable to mammographic spot views for mass characterization.

Authors:  Mitra Noroozian; Lubomir Hadjiiski; Sahand Rahnama-Moghadam; Katherine A Klein; Deborah O Jeffries; Renee W Pinsky; Heang-Ping Chan; Paul L Carson; Mark A Helvie; Marilyn A Roubidoux
Journal:  Radiology       Date:  2011-10-13       Impact factor: 11.105

3.  Digital Breast Tomosynthesis: State of the Art.

Authors:  Srinivasan Vedantham; Andrew Karellas; Gopal R Vijayaraghavan; Daniel B Kopans
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

4.  Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.

Authors:  Ravi K Samala; Heang-Ping Chan; Lubomir Hadjiiski; Mark A Helvie; Jun Wei; Kenny Cha
Journal:  Med Phys       Date:  2016-12       Impact factor: 4.071

5.  Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study.

Authors:  Avi Aizenman; Trafton Drew; Krista A Ehinger; Dianne Georgian-Smith; Jeremy M Wolfe
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-27

6.  Comparison between two-dimensional synthetic mammography reconstructed from digital breast tomosynthesis and full-field digital mammography for the detection of T1 breast cancer.

Authors:  Ji Soo Choi; Boo-Kyung Han; Eun Young Ko; Eun Sook Ko; Soo Yeon Hahn; Jung Hee Shin; Min Jung Kim
Journal:  Eur Radiol       Date:  2015-12-01       Impact factor: 5.315

7.  [Perspectives of the digital mammography platform].

Authors:  R Gruber; C C Riedl; M Reisegger; K Pinker; E Sturm; F Semturs; T H Helbich
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

8.  Added Value of Digital Breast Tomosynthesis Combined with Digital Mammography According to Reader Agreement: Changes in BI-RADS Rate and Follow-Up Management.

Authors:  Francesca Galati; Flaminia Marzocca; Erica Bassetti; Maria L Luciani; Sharon Tan; Carlo Catalano; Federica Pediconi
Journal:  Breast Care (Basel)       Date:  2017-08-29       Impact factor: 2.860

9.  Comparison of two-dimensional synthesized mammograms versus original digital mammograms alone and in combination with tomosynthesis images.

Authors:  Margarita L Zuley; Ben Guo; Victor J Catullo; Denise M Chough; Amy E Kelly; Amy H Lu; Grace Y Rathfon; Marion Lee Spangler; Jules H Sumkin; Luisa P Wallace; Andriy I Bandos
Journal:  Radiology       Date:  2014-01-21       Impact factor: 11.105

10.  Prospective trial comparing full-field digital mammography (FFDM) versus combined FFDM and tomosynthesis in a population-based screening programme using independent double reading with arbitration.

Authors:  Per Skaane; Andriy I Bandos; Randi Gullien; Ellen B Eben; Ulrika Ekseth; Unni Haakenaasen; Mina Izadi; Ingvild N Jebsen; Gunnar Jahr; Mona Krager; Solveig Hofvind
Journal:  Eur Radiol       Date:  2013-04-04       Impact factor: 5.315

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