Mammography reading with computer-aided detection (CAD): Performance of different readers

Susan M. Astley; Stephen W. Duffy; Caroline R. M. Boggis; Mary Wilson; Nicky B. Barr; Ursula M. Beetles; Miriam A. Griffiths; Anil Jain; Jill Johnson; Rita M. Roberts; Heather Deans; Karen Duncan; Geeta Iyengar; Olorunsola Agbaje; Pamela M. Griffiths; Magnus A. McGee; Maureen Grace Charles Gillan; Fiona Jane Gilbert

doi:10.1007/11783237_14

Mammography reading with computer-aided detection (CAD): Performance of different readers

Susan M. Astley, Stephen W. Duffy, Caroline R. M. Boggis, Mary Wilson, Nicky B. Barr, Ursula M. Beetles, Miriam A. Griffiths, Anil Jain, Jill Johnson, Rita M. Roberts, Heather Deans, Karen Duncan, Geeta Iyengar, Olorunsola Agbaje, Pamela M. Griffiths, Magnus A. McGee, Maureen Grace Charles Gillan, Fiona Jane Gilbert

Applied Medicine

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

Computer-aided detection (CAD) systems place prompts in digital images to attract readers' attention to potential malignancies. A reader must then decide whether or not prompted regions correspond to genuine abnormalities and has the option of disregarding falsely prompted regions. In this paper we investigate different readers' performance with CAD in the context of breast screening. In a retrospective study, eight consultant radiologists each read over 1000 screening mammograms comprising normal cases, screen detected cancer cases and cases that were detected as cancers subsequently. We present their results in terms of cancer detection and recall rates, and relate this to their previous experience of film reading. Our results show that the detection of cancers did not differ significantly between readers, although more experienced film readers were less likely to recommend that normal cases should be recalled.

Original language	English
Title of host publication	Digital Mammography
Editors	Susan M. Astley, Michael Brady, Chris Rose, Rever Zwiggelaar
Place of Publication	Berlin, Germany
Publisher	Springer Science+Business Media
Pages	97-104
Number of pages	8
ISBN (Print)	3540356258, 978-3540356257
DOIs	https://doi.org/10.1007/11783237_14
Publication status	Published - 2006
Event	8th International Workshop on Digital Mammography - Manchester, United Kingdom Duration: 18 Jun 2006 → 21 Jun 2006

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Science+Business Media
Volume	4046
ISSN (Print)	0302-9743

Conference

Conference	8th International Workshop on Digital Mammography
Country/Territory	United Kingdom
City	Manchester
Period	18/06/06 → 21/06/06

Keywords

screening mammography

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/11783237_14

Cite this

Astley, S. M., Duffy, S. W., Boggis, C. R. M., Wilson, M., Barr, N. B., Beetles, U. M., Griffiths, M. A., Jain, A., Johnson, J., Roberts, R. M., Deans, H., Duncan, K., Iyengar, G., Agbaje, O., Griffiths, P. M., McGee, M. A., Gillan, M. G. C., & Gilbert, F. J. (2006). Mammography reading with computer-aided detection (CAD): Performance of different readers. In S. M. Astley, M. Brady, C. Rose, & R. Zwiggelaar (Eds.), Digital Mammography (pp. 97-104). (Lecture Notes in Computer Science; Vol. 4046). Springer Science+Business Media. https://doi.org/10.1007/11783237_14

Mammography reading with computer-aided detection (CAD) : Performance of different readers. / Astley, Susan M.; Duffy, Stephen W.; Boggis, Caroline R. M. et al.

Digital Mammography. ed. / Susan M. Astley; Michael Brady; Chris Rose; Rever Zwiggelaar. Berlin, Germany : Springer Science+Business Media, 2006. p. 97-104 (Lecture Notes in Computer Science; Vol. 4046).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Astley, SM, Duffy, SW, Boggis, CRM, Wilson, M, Barr, NB, Beetles, UM, Griffiths, MA, Jain, A, Johnson, J, Roberts, RM, Deans, H, Duncan, K, Iyengar, G, Agbaje, O, Griffiths, PM, McGee, MA, Gillan, MGC & Gilbert, FJ 2006, Mammography reading with computer-aided detection (CAD): Performance of different readers. in SM Astley, M Brady, C Rose & R Zwiggelaar (eds), Digital Mammography. Lecture Notes in Computer Science, vol. 4046, Springer Science+Business Media, Berlin, Germany, pp. 97-104, 8th International Workshop on Digital Mammography , Manchester, United Kingdom, 18/06/06. https://doi.org/10.1007/11783237_14

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title = "Mammography reading with computer-aided detection (CAD): Performance of different readers",

abstract = "Computer-aided detection (CAD) systems place prompts in digital images to attract readers' attention to potential malignancies. A reader must then decide whether or not prompted regions correspond to genuine abnormalities and has the option of disregarding falsely prompted regions. In this paper we investigate different readers' performance with CAD in the context of breast screening. In a retrospective study, eight consultant radiologists each read over 1000 screening mammograms comprising normal cases, screen detected cancer cases and cases that were detected as cancers subsequently. We present their results in terms of cancer detection and recall rates, and relate this to their previous experience of film reading. Our results show that the detection of cancers did not differ significantly between readers, although more experienced film readers were less likely to recommend that normal cases should be recalled.",

keywords = "screening mammography",

author = "Astley, {Susan M.} and Duffy, {Stephen W.} and Boggis, {Caroline R. M.} and Mary Wilson and Barr, {Nicky B.} and Beetles, {Ursula M.} and Griffiths, {Miriam A.} and Anil Jain and Jill Johnson and Roberts, {Rita M.} and Heather Deans and Karen Duncan and Geeta Iyengar and Olorunsola Agbaje and Griffiths, {Pamela M.} and McGee, {Magnus A.} and Gillan, {Maureen Grace Charles} and Gilbert, {Fiona Jane}",

year = "2006",

doi = "10.1007/11783237_14",

language = "English",

isbn = "3540356258",

series = "Lecture Notes in Computer Science",

publisher = "Springer Science+Business Media",

pages = "97--104",

editor = "Astley, {Susan M.} and Michael Brady and Chris Rose and Rever Zwiggelaar",

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T1 - Mammography reading with computer-aided detection (CAD)

T2 - 8th International Workshop on Digital Mammography

AU - Astley, Susan M.

AU - Duffy, Stephen W.

AU - Boggis, Caroline R. M.

AU - Wilson, Mary

AU - Barr, Nicky B.

AU - Beetles, Ursula M.

AU - Griffiths, Miriam A.

AU - Jain, Anil

AU - Johnson, Jill

AU - Roberts, Rita M.

AU - Deans, Heather

AU - Duncan, Karen

AU - Iyengar, Geeta

AU - Agbaje, Olorunsola

AU - Griffiths, Pamela M.

AU - McGee, Magnus A.

AU - Gillan, Maureen Grace Charles

AU - Gilbert, Fiona Jane

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N2 - Computer-aided detection (CAD) systems place prompts in digital images to attract readers' attention to potential malignancies. A reader must then decide whether or not prompted regions correspond to genuine abnormalities and has the option of disregarding falsely prompted regions. In this paper we investigate different readers' performance with CAD in the context of breast screening. In a retrospective study, eight consultant radiologists each read over 1000 screening mammograms comprising normal cases, screen detected cancer cases and cases that were detected as cancers subsequently. We present their results in terms of cancer detection and recall rates, and relate this to their previous experience of film reading. Our results show that the detection of cancers did not differ significantly between readers, although more experienced film readers were less likely to recommend that normal cases should be recalled.

AB - Computer-aided detection (CAD) systems place prompts in digital images to attract readers' attention to potential malignancies. A reader must then decide whether or not prompted regions correspond to genuine abnormalities and has the option of disregarding falsely prompted regions. In this paper we investigate different readers' performance with CAD in the context of breast screening. In a retrospective study, eight consultant radiologists each read over 1000 screening mammograms comprising normal cases, screen detected cancer cases and cases that were detected as cancers subsequently. We present their results in terms of cancer detection and recall rates, and relate this to their previous experience of film reading. Our results show that the detection of cancers did not differ significantly between readers, although more experienced film readers were less likely to recommend that normal cases should be recalled.

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U2 - 10.1007/11783237_14

DO - 10.1007/11783237_14

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SN - 978-3540356257

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EP - 104

BT - Digital Mammography

A2 - Astley, Susan M.

A2 - Brady, Michael

A2 - Rose, Chris

A2 - Zwiggelaar, Rever

PB - Springer Science+Business Media

CY - Berlin, Germany

Y2 - 18 June 2006 through 21 June 2006

ER -

Mammography reading with computer-aided detection (CAD): Performance of different readers

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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Cite this