scholarly journals The efficacy of using computer-aided detection (CAD) for detection of breast cancer in mammography screening: a systematic review

2018 ◽  
Vol 60 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Emilie L Henriksen ◽  
Jonathan F Carlsen ◽  
Ilse MM Vejborg ◽  
Michael B Nielsen ◽  
Carsten A Lauridsen
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
High Volume ◽  
Population Based ◽  
Screening Mammography ◽  
Computer Aided Detection ◽  
Screening Programs ◽  
Significant Difference ◽  
Computer Aided ◽  
Screening Population

Background Early detection of breast cancer (BC) is crucial in lowering the mortality. Purpose To present an overview of studies concerning computer-aided detection (CAD) in screening mammography for early detection of BC and compare diagnostic accuracy and recall rates (RR) of single reading (SR) with SR + CAD and double reading (DR) with SR + CAD. Material and Methods PRISMA guidelines were used as a review protocol. Articles on clinical trials concerning CAD for detection of BC in a screening population were included. The literature search resulted in 1522 records. A total of 1491 records were excluded by abstract and 18 were excluded by full text reading. A total of 13 articles were included. Results All but two studies from the SR vs. SR + CAD group showed an increased sensitivity and/or cancer detection rate (CDR) when adding CAD. The DR vs. SR + CAD group showed no significant differences in sensitivity and CDR. Adding CAD to SR increased the RR and decreased the specificity in all but one study. For the DR vs. SR + CAD group only one study reported a significant difference in RR. Conclusion All but two studies showed an increase in RR, sensitivity and CDR when adding CAD to SR. Compared to DR no statistically significant differences in sensitivity or CDR were reported. Additional studies based on organized population-based screening programs, with longer follow-up time, high-volume readers, and digital mammography are needed to evaluate the efficacy of CAD.

scholarly journals Likelihood of early detection of breast cancer in relation to false-positive risk in life-time mammographic screening: population-based cohort study

2013 ◽  
Vol 24 (10) ◽  
pp. 2501-2506 ◽  
Author(s):  
J.D.M. Otten ◽  
J. Fracheboud ◽  
G.J. den Heeten ◽  
S.J. Otto ◽  
R. Holland ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Early Detection ◽  
False Positive ◽  
Life Time ◽  
Population Based ◽  
Mammographic Screening ◽  
Screening Population

scholarly journals The value of computer aided detection system FOR mammography in the breast cancer screening: single-center, prospective, randomized clinical trial

2021 ◽  
Vol 67 (6) ◽  
pp. 777-784
Author(s):  
Rustem Khasanov ◽  
Munir Tukhbatullin ◽  
Dmitrii Pasynkov
Keyword(s):  
Breast Cancer ◽  
Detection System ◽  
Screening Mammography ◽  
Computer Aided Detection ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Primary Tumor Size ◽  
Dense Breasts ◽  
Computer Aided ◽  
Mammography Cad

Purpose. To assess the influence of mammography mapping with the help of computer-aided detection system (CAD) MammCheck II of our own design on the relapse-free survival (RFS) in breast cancer (BC) patients detected during the combined (mammographic and ultrasound [US]) screening. Materials and methods. 10732 women aged 40-87 years old (mean age: 52.20±8.63) who performed mammography were randomized to the standard screening group (mammography → US of the dense breasts) or to the group of CAD-assisted screening (mammography → CAD → targeted US of suspicious CAD markings, as well as the standard US of the dense breasts; CAD group). The primary endpoint was the 3-years RFS. Results. Totally, in the standard screening group we identified 230 BCs (4.29%), in the CAD group — 248 BCs (4.62%; p>0.05), including 49 (21.20%) и 88 (35.48%) 0-I stage BCs, respectively (p<0.05). Median of the primary tumor size was significantly lower in the CAD group (18 mm) compared to the standard screening group (25 mm; р<0.05). 3-years RFS was significantly higher (87.90%) in the CAD group compared to the standard screening group (81.20%; р<0.05). Conclusion. Breast US after the previous mammography CAD mapping significantly increases the 3-years RFS of women with combined screening-detected BC.

Computer-aided Detection Output on 172 Subtle Findings on Normal Mammograms Previously Obtained in Women with Breast Cancer Detected at Follow-Up Screening Mammography

Radiology ◽  
2004 ◽  
Vol 230 (3) ◽  
pp. 811-819 ◽  
Author(s):  
Debra M. Ikeda ◽  
Robyn L. Birdwell ◽  
Kathryn F. O’Shaughnessy ◽  
Edward A. Sickles ◽  
R. James Brenner
Keyword(s):  
Breast Cancer ◽  
Screening Mammography ◽  
Computer Aided Detection ◽  
Computer Aided

scholarly journals Article Commentary: Computer-Aided Detection of Breast Cancer — Have All Bases Been Covered?

2008 ◽  
Vol 2 ◽  
pp. BCBCR.S785
Author(s):  
Gautam S. Muralidhar ◽  
Tamara Miner Haygood ◽  
Tanya W. Stephens ◽  
Gary J. Whitman ◽  
Alan C. Bovik ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Full Potential ◽  
Computer Aided Detection ◽  
Cad Systems ◽  
Computer Aided ◽  
Recent Debate ◽  
The Subject ◽  
Intense Research

The use of computer-aided detection (CAD) systems in mammography has been the subject of intense research for many years. These systems have been developed with the aim of helping radiologists to detect signs of breast cancer. However, the effectiveness of CAD systems in practice has sparked recent debate. In this commentary, we argue that computer-aided detection will become an increasingly important tool for radiologists in the early detection of breast cancer, but there are some important issues that need to be given greater focus in designing CAD systems if they are to reach their full potential.

scholarly journals THE VALUE OF COMPUTER AIDED DETECTION SYSTEM IN BREAST CANCER DIFFICULT TO DETECT AT SCREENING MAMMOGRAPHY

2019 ◽  
Vol 9 (2) ◽  
pp. 107-118
Author(s):  
D.V. Pasynkov ◽  
◽  
I.A. Egoshin ◽  
A.A. Kolchev ◽  
I.V. Kliouchkin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Detection System ◽  
Screening Mammography ◽  
Computer Aided Detection ◽  
Computer Aided

scholarly journals Medical Diagnostic Systems for Breast Cancer

2020 ◽  
Vol 9 (6) ◽  
pp. 945-949
Keyword(s):  
Breast Cancer ◽  
Mortality Rate ◽  
Early Detection ◽  
Low Energy ◽  
Computer Aided Detection ◽  
Human Breast ◽  
Diagnostic Systems ◽  
Cad Systems ◽  
Computer Aided ◽  
Medical Diagnostic

Breast Cancer is one of the diseases where females have the highest mortality rate. Early detection is the way to diminishing the rate and helps increase the lifespan of suffering patients. Mammography is the method of using low energy Xrays for examination and screening the human breast. A team of radiologists required for the analysis of mammograms, but even experienced experts can misjudge in their evaluation.so Computer-Aided Detection (CAD) systems are having more pervasive for the purpose. There are various abnormalities, including micro-calcifications, are identified from mammograms. This study takes a look at all techniques that are helpful in detecting calcification. Several works of literature have been reviewed to explore and learn the outstanding way in different cases and situations for the sensing of classification in cancer of breast.

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