A review of computer aided detection in mammography

被引：57
作者：
Katzen, Janine [1 ]
Dodelzon, Katerina [1 ]
机构：
[1] Weill Cornell Med, Dept Radiol, 425 E 61st St, New York, NY 10065 USA
来源：
CLINICAL IMAGING | 2018年 / 52卷
关键词：
Mammography; Computer aided detection; DIGITAL BREAST TOMOSYNTHESIS; SCREENING MAMMOGRAPHY; DETECTION SYSTEM; CANCER-DETECTION; DIAGNOSTIC-ACCURACY; CLUSTERED MICROCALCIFICATIONS; COST-EFFECTIVENESS; FILM MAMMOGRAPHY; DETECTION CAD; RECALL RATES;
D O I：
10.1016/j.clinimag.2018.08.014
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
Breast screening with mammography is widely recognized as the most effective method of detecting early breast cancer and has consistently demonstrated a 20-40% decrease in mortality among screened women. Despite this, the sensitivity of mammography ranges between 70 and 90%. Computer aided detection (CAD) is an artificial intelligence (AI) technique that utilizes pattern recognition to highlight suspicious features on imaging and marks them for the radiologist to review and interpret. It aims to decrease oversights made by interpreting radiologists. Here we review the efficacy of CAD and potential future directions.
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收藏
页码：305 / 309
页数：5
相关论文
共 77 条
  • [1] *AM COLL RAD, 2018, ACR PRACT PAR PERF S
  • [2] Computer-aided detection (CAD) in screening mammography: Sensitivity of commercial CAD systems for detecting architectural distortion
    Baker, JA
    Rosen, EL
    Lo, JY
    Gimenez, EI
    Welsh, R
    Soo, MS
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2003, 181 (04) : 1083 - 1088
  • [3] Improving digital breast tomosynthesis reading time: A pilot multi- reader, multi-case study using concurrent Computer-Aided Detection (CAD)
    Balleyguier, Corinne
    Arfi-Rouche, Julia
    Levy, Laurent
    Toubiana, Patrick R.
    Cohen-Scali, Franck
    Toledano, Alicia Y.
    Boyer, Bruno
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2017, 97 : 83 - 89
  • [4] Concurrent Computer-Aided Detection Improves Reading Time of Digital Breast Tomosynthesis and Maintains Interpretation Performance in a Multireader Multicase Study
    Benedikt, Richard A.
    Boatsman, Justin E.
    Swann, Cynthia A.
    Kirkpatrick, Aaron D.
    Toledano, Alicia Y.
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2018, 210 (03) : 685 - 694
  • [5] Application of breast tomosynthesis in screening: incremental effect on mammography acquisition and reading time
    Bernardi, D.
    Ciatto, S.
    Pellegrini, M.
    Anesi, V.
    Burlon, S.
    Cauli, E.
    Depaoli, M.
    Larentis, L.
    Malesani, V.
    Targa, L.
    Baldo, P.
    Houssami, N.
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2012, 85 (1020) : E1174 - E1178
  • [6] BHAGIRATHI H, 2018, INTECHOPEN, DOI DOI 10.5772/INTECHOPEN.69792
  • [7] ANALYSIS OF CANCERS MISSED AT SCREENING MAMMOGRAPHY
    BIRD, RE
    WALLACE, TW
    YANKASKAS, BC
    [J]. RADIOLOGY, 1992, 184 (03) : 613 - 617
  • [8] Computer-aided detection with screening mammography in a university hospital setting
    Birdwell, RL
    Bandodkar, P
    Ikeda, DM
    [J]. RADIOLOGY, 2005, 236 (02) : 451 - 457
  • [9] Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection
    Birdwell, RL
    Ikeda, DM
    O'Shaughnessy, KF
    Sickles, EA
    [J]. RADIOLOGY, 2001, 219 (01) : 192 - 202
  • [10] Does computer-aided detection (CAD) contribute to the performance of digital mammography in a self-referred population?
    Brancato, Beniamino
    Houssami, Nehmat
    Francesca, Damiana
    Bianchi, Simonetta
    Risso, Gabriella
    Catarzi, Sandra
    Taschini, Renzo
    Del Turco, Marco Rosselli
    Ciatto, Stefano
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2008, 111 (02) : 373 - 376
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