Interpretation time for screening mammography as a function of the number of computer-aided detection marks
Purpose: Computer-aided detection (CAD) alerts radiologists to findings potentially associated with breast cancer but is notorious for creating false-positive marks. Although a previous paper found that radiologists took more time to interpret mammograms with more CAD marks, our impression was that...
Gespeichert in:
Veröffentlicht in: | Journal of medical imaging (Bellingham, Wash.) Wash.), 2020-03, Vol.7 (2), p.022408-022408 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 022408 |
---|---|
container_issue | 2 |
container_start_page | 022408 |
container_title | Journal of medical imaging (Bellingham, Wash.) |
container_volume | 7 |
creator | Schwartz, Tayler M Hillis, Stephen L Sridharan, Radhika Lukyanchenko, Olga Geiser, William Whitman, Gary J Wei, Wei Haygood, Tamara Miner |
description | Purpose: Computer-aided detection (CAD) alerts radiologists to findings potentially associated with breast cancer but is notorious for creating false-positive marks. Although a previous paper found that radiologists took more time to interpret mammograms with more CAD marks, our impression was that this was not true in actual interpretation. We hypothesized that radiologists would selectively disregard these marks when present in larger numbers.
Approach: We performed a retrospective review of bilateral digital screening mammograms. We use a mixed linear regression model to assess the relationship between number of CAD marks and ln (interpretation time) after adjustment for covariates. Both readers and mammograms were treated as random sampling units.
Results: Ten radiologists, with median experience after residency of 12.5 years (range 6 to 24) interpreted 1832 mammograms. After accounting for number of images, Breast Imaging Reporting and Data System category, and breast density, the number of CAD marks was positively associated with longer interpretation time, with each additional CAD mark proportionally increasing median interpretation time by 4.35% for a typical reader.
Conclusions: We found no support for our hypothesis that radiologists will selectively disregard CAD marks when they are present in larger numbers. |
doi_str_mv | 10.1117/1.JMI.7.2.022408 |
format | Article |
fullrecord | <record><control><sourceid>proquest_spie_</sourceid><recordid>TN_cdi_proquest_miscellaneous_2353590068</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2353590068</sourcerecordid><originalsourceid>FETCH-LOGICAL-c434t-82480d14c874e4eecc2ffb9e58960e7ade51181741675e14c96ea8e0d6da3fcd3</originalsourceid><addsrcrecordid>eNp1kcFPHCEUh0nTphrrvSfDsZcZgWFmmIuJMa2uselFz4SFN7voAiMwTfzvRcdu9NATj_C9j5f3Q-g7JTWltD-l9fXvVd3XrCaMcSI-oUPWsKHiDSWf9zVhB-g4pXtCCKWkZZR_RQcNI5yJdjhEDyufIU4Rsso2eJytAzyGiJOOAN76DXbKubCJato-YZWwwuPs9SscRpy3gP3s1hBfbjq4aS6-SlkDBhvIsJBOxYf0DX0Z1S7B8dt5hO5-_by9uKpu_lyuLs5vKs0bnivBuCCGci16DhxAazaO6wFaMXQEemWgpVTQntOub6FwQwdKADGdUc2oTXOEzhbvNK8dGA0-R7WTU7RljCcZlJUfX7zdyk34K7th6FrRF8GPN0EMjzOkLJ1NGnY75SHMSbKmbdqBkE4UlCyojiGlCOP-G0rkS0ySyhKT7CWTS0yl5eT9ePuGf6EUoFqANFmQ92GOvqzr_8JnhkGeyg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2353590068</pqid></control><display><type>article</type><title>Interpretation time for screening mammography as a function of the number of computer-aided detection marks</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Schwartz, Tayler M ; Hillis, Stephen L ; Sridharan, Radhika ; Lukyanchenko, Olga ; Geiser, William ; Whitman, Gary J ; Wei, Wei ; Haygood, Tamara Miner</creator><creatorcontrib>Schwartz, Tayler M ; Hillis, Stephen L ; Sridharan, Radhika ; Lukyanchenko, Olga ; Geiser, William ; Whitman, Gary J ; Wei, Wei ; Haygood, Tamara Miner</creatorcontrib><description>Purpose: Computer-aided detection (CAD) alerts radiologists to findings potentially associated with breast cancer but is notorious for creating false-positive marks. Although a previous paper found that radiologists took more time to interpret mammograms with more CAD marks, our impression was that this was not true in actual interpretation. We hypothesized that radiologists would selectively disregard these marks when present in larger numbers.
Approach: We performed a retrospective review of bilateral digital screening mammograms. We use a mixed linear regression model to assess the relationship between number of CAD marks and ln (interpretation time) after adjustment for covariates. Both readers and mammograms were treated as random sampling units.
Results: Ten radiologists, with median experience after residency of 12.5 years (range 6 to 24) interpreted 1832 mammograms. After accounting for number of images, Breast Imaging Reporting and Data System category, and breast density, the number of CAD marks was positively associated with longer interpretation time, with each additional CAD mark proportionally increasing median interpretation time by 4.35% for a typical reader.
Conclusions: We found no support for our hypothesis that radiologists will selectively disregard CAD marks when they are present in larger numbers.</description><identifier>ISSN: 2329-4302</identifier><identifier>EISSN: 2329-4310</identifier><identifier>DOI: 10.1117/1.JMI.7.2.022408</identifier><identifier>PMID: 32042859</identifier><language>eng</language><publisher>United States: Society of Photo-Optical Instrumentation Engineers</publisher><subject>Special Section on Medical Image Perception and Observer Performance</subject><ispartof>Journal of medical imaging (Bellingham, Wash.), 2020-03, Vol.7 (2), p.022408-022408</ispartof><rights>The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.</rights><rights>2020 The Authors 2020 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-82480d14c874e4eecc2ffb9e58960e7ade51181741675e14c96ea8e0d6da3fcd3</citedby><cites>FETCH-LOGICAL-c434t-82480d14c874e4eecc2ffb9e58960e7ade51181741675e14c96ea8e0d6da3fcd3</cites><orcidid>0000-0002-4886-8584</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996587/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996587/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32042859$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schwartz, Tayler M</creatorcontrib><creatorcontrib>Hillis, Stephen L</creatorcontrib><creatorcontrib>Sridharan, Radhika</creatorcontrib><creatorcontrib>Lukyanchenko, Olga</creatorcontrib><creatorcontrib>Geiser, William</creatorcontrib><creatorcontrib>Whitman, Gary J</creatorcontrib><creatorcontrib>Wei, Wei</creatorcontrib><creatorcontrib>Haygood, Tamara Miner</creatorcontrib><title>Interpretation time for screening mammography as a function of the number of computer-aided detection marks</title><title>Journal of medical imaging (Bellingham, Wash.)</title><addtitle>J. Med. Imag</addtitle><description>Purpose: Computer-aided detection (CAD) alerts radiologists to findings potentially associated with breast cancer but is notorious for creating false-positive marks. Although a previous paper found that radiologists took more time to interpret mammograms with more CAD marks, our impression was that this was not true in actual interpretation. We hypothesized that radiologists would selectively disregard these marks when present in larger numbers.
Approach: We performed a retrospective review of bilateral digital screening mammograms. We use a mixed linear regression model to assess the relationship between number of CAD marks and ln (interpretation time) after adjustment for covariates. Both readers and mammograms were treated as random sampling units.
Results: Ten radiologists, with median experience after residency of 12.5 years (range 6 to 24) interpreted 1832 mammograms. After accounting for number of images, Breast Imaging Reporting and Data System category, and breast density, the number of CAD marks was positively associated with longer interpretation time, with each additional CAD mark proportionally increasing median interpretation time by 4.35% for a typical reader.
Conclusions: We found no support for our hypothesis that radiologists will selectively disregard CAD marks when they are present in larger numbers.</description><subject>Special Section on Medical Image Perception and Observer Performance</subject><issn>2329-4302</issn><issn>2329-4310</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kcFPHCEUh0nTphrrvSfDsZcZgWFmmIuJMa2uselFz4SFN7voAiMwTfzvRcdu9NATj_C9j5f3Q-g7JTWltD-l9fXvVd3XrCaMcSI-oUPWsKHiDSWf9zVhB-g4pXtCCKWkZZR_RQcNI5yJdjhEDyufIU4Rsso2eJytAzyGiJOOAN76DXbKubCJato-YZWwwuPs9SscRpy3gP3s1hBfbjq4aS6-SlkDBhvIsJBOxYf0DX0Z1S7B8dt5hO5-_by9uKpu_lyuLs5vKs0bnivBuCCGci16DhxAazaO6wFaMXQEemWgpVTQntOub6FwQwdKADGdUc2oTXOEzhbvNK8dGA0-R7WTU7RljCcZlJUfX7zdyk34K7th6FrRF8GPN0EMjzOkLJ1NGnY75SHMSbKmbdqBkE4UlCyojiGlCOP-G0rkS0ySyhKT7CWTS0yl5eT9ePuGf6EUoFqANFmQ92GOvqzr_8JnhkGeyg</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Schwartz, Tayler M</creator><creator>Hillis, Stephen L</creator><creator>Sridharan, Radhika</creator><creator>Lukyanchenko, Olga</creator><creator>Geiser, William</creator><creator>Whitman, Gary J</creator><creator>Wei, Wei</creator><creator>Haygood, Tamara Miner</creator><general>Society of Photo-Optical Instrumentation Engineers</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4886-8584</orcidid></search><sort><creationdate>20200301</creationdate><title>Interpretation time for screening mammography as a function of the number of computer-aided detection marks</title><author>Schwartz, Tayler M ; Hillis, Stephen L ; Sridharan, Radhika ; Lukyanchenko, Olga ; Geiser, William ; Whitman, Gary J ; Wei, Wei ; Haygood, Tamara Miner</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-82480d14c874e4eecc2ffb9e58960e7ade51181741675e14c96ea8e0d6da3fcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Special Section on Medical Image Perception and Observer Performance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schwartz, Tayler M</creatorcontrib><creatorcontrib>Hillis, Stephen L</creatorcontrib><creatorcontrib>Sridharan, Radhika</creatorcontrib><creatorcontrib>Lukyanchenko, Olga</creatorcontrib><creatorcontrib>Geiser, William</creatorcontrib><creatorcontrib>Whitman, Gary J</creatorcontrib><creatorcontrib>Wei, Wei</creatorcontrib><creatorcontrib>Haygood, Tamara Miner</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of medical imaging (Bellingham, Wash.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schwartz, Tayler M</au><au>Hillis, Stephen L</au><au>Sridharan, Radhika</au><au>Lukyanchenko, Olga</au><au>Geiser, William</au><au>Whitman, Gary J</au><au>Wei, Wei</au><au>Haygood, Tamara Miner</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interpretation time for screening mammography as a function of the number of computer-aided detection marks</atitle><jtitle>Journal of medical imaging (Bellingham, Wash.)</jtitle><addtitle>J. Med. Imag</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>7</volume><issue>2</issue><spage>022408</spage><epage>022408</epage><pages>022408-022408</pages><issn>2329-4302</issn><eissn>2329-4310</eissn><abstract>Purpose: Computer-aided detection (CAD) alerts radiologists to findings potentially associated with breast cancer but is notorious for creating false-positive marks. Although a previous paper found that radiologists took more time to interpret mammograms with more CAD marks, our impression was that this was not true in actual interpretation. We hypothesized that radiologists would selectively disregard these marks when present in larger numbers.
Approach: We performed a retrospective review of bilateral digital screening mammograms. We use a mixed linear regression model to assess the relationship between number of CAD marks and ln (interpretation time) after adjustment for covariates. Both readers and mammograms were treated as random sampling units.
Results: Ten radiologists, with median experience after residency of 12.5 years (range 6 to 24) interpreted 1832 mammograms. After accounting for number of images, Breast Imaging Reporting and Data System category, and breast density, the number of CAD marks was positively associated with longer interpretation time, with each additional CAD mark proportionally increasing median interpretation time by 4.35% for a typical reader.
Conclusions: We found no support for our hypothesis that radiologists will selectively disregard CAD marks when they are present in larger numbers.</abstract><cop>United States</cop><pub>Society of Photo-Optical Instrumentation Engineers</pub><pmid>32042859</pmid><doi>10.1117/1.JMI.7.2.022408</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-4886-8584</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2329-4302 |
ispartof | Journal of medical imaging (Bellingham, Wash.), 2020-03, Vol.7 (2), p.022408-022408 |
issn | 2329-4302 2329-4310 |
language | eng |
recordid | cdi_proquest_miscellaneous_2353590068 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Special Section on Medical Image Perception and Observer Performance |
title | Interpretation time for screening mammography as a function of the number of computer-aided detection marks |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T17%3A31%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_spie_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Interpretation%20time%20for%20screening%20mammography%20as%20a%20function%20of%20the%20number%20of%20computer-aided%20detection%20marks&rft.jtitle=Journal%20of%20medical%20imaging%20(Bellingham,%20Wash.)&rft.au=Schwartz,%20Tayler%20M&rft.date=2020-03-01&rft.volume=7&rft.issue=2&rft.spage=022408&rft.epage=022408&rft.pages=022408-022408&rft.issn=2329-4302&rft.eissn=2329-4310&rft_id=info:doi/10.1117/1.JMI.7.2.022408&rft_dat=%3Cproquest_spie_%3E2353590068%3C/proquest_spie_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2353590068&rft_id=info:pmid/32042859&rfr_iscdi=true |