Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses.
Objectives: We developed a computer-aided detection (CAD) system aimed at decision support for detection of malignant masses and architectural distortions in mammograms. The effect of this system on radiologists' performance depends strongly on its standalone performance. The purpose of this study w...
| Published in: | European Radiology Vol. 23; no. 1; pp. 93 - 101 |
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| Main Authors: | , , , , , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Jan2013
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104401594&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104401594 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jan2013 vid: 23 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104401594 84088358 NLM22772149 2011800227 10.1007/s00330-012-2562-7 NLM22772149 104401594 ppf: 93 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses. aug: au: Hupse R Samulski M Lobbes M den Heeten A Imhof-Tas MW Beijerinck D Pijnappel R Boetes C Karssemeijer N Hupse, Rianne Samulski, Maurice Lobbes, Marc den Heeten, Ard Imhof-Tas, Mechli W Beijerinck, David Pijnappel, Ruud Boetes, Carla Karssemeijer, Nico affil: Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands sug: subj: Breast Neoplasms Radiography Clinical Competence Mammography Methods Radiographic Image Interpretation, Computer-Assisted Methods Aged Decision Support Systems, Clinical False Negative Results False Positive Results Female Human Health Screening Middle Age Netherlands Retrospective Design Sensitivity and Specificity Aged: 65+ years Middle Aged: 45-64 years Female ab: Objectives: We developed a computer-aided detection (CAD) system aimed at decision support for detection of malignant masses and architectural distortions in mammograms. The effect of this system on radiologists' performance depends strongly on its standalone performance. The purpose of this study was to compare the standalone performance of this CAD system to that of radiologists.Methods: In a retrospective study, nine certified screening radiologists and three residents read 200 digital screening mammograms without the use of CAD. Performances of the individual readers and of CAD were computed as the true-positive fraction (TPF) at a false-positive fraction of 0.05 and 0.2. Differences were analysed using an independent one-sample t-test.Results: At a false-positive fraction of 0.05, the performance of CAD (TPF = 0.487) was similar to that of the certified screening radiologists (TPF = 0.518, P = 0.17). At a false-positive fraction of 0.2, CAD performance (TPF = 0.620) was significantly lower than the radiologist performance (TPF = 0.736, P <0.001). Compared to the residents, CAD performance was similar for all false-positive fractions.Conclusions: The sensitivity of CAD at a high specificity was comparable to that of human readers. These results show potential for CAD to be used as an independent reader in breast cancer screening. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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