Literature DB >> 16236517

Computer-aided detection (CAD) of cancers detected on double reading by one reader only.

S Ciatto1, D Ambrogetti, G Collini, A Cruciani, E Ercolini, G Risso, M Rosselli Del Turco.   

Abstract

We evaluated the role of computer-aided detection (CAD) in cancers undergoing double reading and detected by one reader only. A series of 33 cancers, originally missed by the first reader and detected by the second reader, and 75 negative controls were processed to assess CAD sensitivity, and was read by the six radiologists who originally missed the cancers with the help of CAD printouts. CAD case-based sensitivity, specificity and positive predictive value were 51.5%, 18.6% and 21.7%, respectively. Average sensitivity of all radiologists in all cancers in the series was 74.7%, being higher for CAD+ (86.2%) than for CAD- (62.5%) cancers (P<0.01). When reading cancer cases that they had originally missed, radiologists had a sensitivity of 75.8%, which was higher for CAD+ (100.0%) than for CAD- (58.3%) cancers. The average recall rate was 14.2%, the majority of recalls (45 out of 64) occurring for lesions marked by CAD. CAD may help in detecting at most half of cancers missed at a single reading but detected by a second reader.

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Year:  2005        PMID: 16236517     DOI: 10.1016/j.breast.2005.08.035

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  3 in total

Review 1.  Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review.

Authors:  Edward Azavedo; Sophia Zackrisson; Ingegerd Mejàre; Marianne Heibert Arnlind
Journal:  BMC Med Imaging       Date:  2012-07-24       Impact factor: 1.930

2.  Performance of double reading mammography in an Iranian population and its effect on patient outcome.

Authors:  Maryam Moradi; Kobra Ganji; Niloufar Teyfouri; Farzaneh Kolahdoozan
Journal:  Iran J Radiol       Date:  2013-05-20       Impact factor: 0.212

3.  Predictive factors for effective selection of Interleukin-6 inhibitor and tumor necrosis factor inhibitor in the treatment of rheumatoid arthritis.

Authors:  Shinya Hayashi; Tsukasa Matsubara; Koji Fukuda; Keiko Funahashi; Marowa Hashimoto; Toshihisa Maeda; Tomoyuki Kamenaga; Yoshinori Takashima; Tomoyuki Matsumoto; Takahiro Niikura; Ryosuke Kuroda
Journal:  Sci Rep       Date:  2020-10-06       Impact factor: 4.379

  3 in total

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