Performance of Computer-aided Detection in False-Negative Screening Mammograms of Breast Cancers

2004 ◽  
Vol 51 (4) ◽  
pp. 465 ◽  
Author(s):  
Boo Kyung Han ◽  
Ji Young Kim ◽  
Jung Hee Shin ◽  
Yeon Hyeon Choe
Keyword(s):  
False Negative ◽  
Breast Cancers ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Screening Mammograms

Performance of Computer-aided Detection in False-Negative Screening Mammograms of Breast Cancers

2004 ◽  
Vol 51 (4) ◽  
pp. 465
Author(s):  
Boo Kyung Han ◽  
Ji Young Kim ◽  
Jung Hee Shin ◽  
Yeon Hyeon Choe
Keyword(s):  
False Negative ◽  
Breast Cancers ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Screening Mammograms

Can Computer-aided Detection with Double Reading of Screening Mammograms Help Decrease the False-Negative Rate? Initial Experience

Radiology ◽  
2004 ◽  
Vol 232 (2) ◽  
pp. 578-584 ◽  
Author(s):  
Stamatia V. Destounis ◽  
Patricia DiNitto ◽  
Wende Logan-Young ◽  
Ermelinda Bonaccio ◽  
Margarita L. Zuley ◽  
...  
Keyword(s):  
False Negative ◽  
False Negative Rate ◽  
Initial Experience ◽  
Computer Aided Detection ◽  
Double Reading ◽  
Negative Rate ◽  
Computer Aided ◽  
Screening Mammograms

Screening Mammograms: Interpretation with Computer-aided Detection—Prospective Evaluation

Radiology ◽  
2006 ◽  
Vol 239 (2) ◽  
pp. 375-383 ◽  
Author(s):  
Marilyn J. Morton ◽  
Dana H. Whaley ◽  
Kathleen R. Brandt ◽  
Kimberly K. Amrami
Keyword(s):  
Computer Aided Detection ◽  
Prospective Evaluation ◽  
Computer Aided ◽  
Screening Mammograms

scholarly journals The value of computer aided detection system for mammography in the fatty breast: the results of the single-centered, prospective, randomized clinical trial

2021 ◽  
Vol 25 (4) ◽  
pp. 93-105
Author(s):  
D. V. Pasynkov ◽  
M. G. Tukhbatullin ◽  
R. Sh. Khasanov
Keyword(s):  
Detection System ◽  
Low Density ◽  
Breast Cancers ◽  
Computer Aided Detection ◽  
Initial Screening ◽  
Prospective Randomized Clinical Trial ◽  
Primary Screening ◽  
Targeted Ultrasound ◽  
Computer Aided

Aim. To assess the reasonability to use CAD added to mammography with subsequent targeted ultrasound (US) of CAD markings in patients with low-density (ACR A-В) breasts.Materials and methods. In the prospective study we included 2326 women with low breast density. They were randomized for CAD (MammCheck II of our own design) checking with subsequent targeted US (MMG + CAD group) or without CAD (MMG only group). After the initial screening we performed the 3-year follow-up phase.Results. Totally, during the primary screening in the MMG only group we found 77 breast cancers (BCs) (28,57% of them sized less than 1 cm), in the MMG + CAD group – 69 BCs (36,23% of them sized less than 1 cm), р > 0.05. The suspicious lesion was identified only during the targeted US of the CAD marking in 4 of 25 women in the MMG + CAD group, and all these BCs were below 1 cm in size. During the subsequent follow-up in the MMG only group we found 5 additional BCs, with no such cases in the MMG + CAD group (p < 0.05). Three of these five BCs were retrospectively marked by CAD. The only visible BC that was not marked by CAD was 3 mm in size.Discussion. The overall false positive marking rate was 0.31 и 0.28 per film-screen and digital image, respectively (р > 0.05).Conclusion. The CAD usage added to mammography with subsequent targeted US of markings in patients with low-density (ACR A-В) breast is reasonable due to the significant decrease of the BC rate diagnosed during the 3-year follow-up. This combination detected 77 of the 77 (100.00%) BCs compared to 69 of 74 (93.24%) BCs when only mammography used.

Computer-aided detection of breast cancers using Haar-like features in automated 3D breast ultrasound

2015 ◽  
Vol 42 (4) ◽  
pp. 1498-1504 ◽  
Author(s):  
Tao Tan ◽  
Jan-Jurre Mordang ◽  
Jan van Zelst ◽  
André Grivegnée ◽  
Albert Gubern-Mérida ◽  
...  
Keyword(s):  
Breast Ultrasound ◽  
Breast Cancers ◽  
Computer Aided Detection ◽  
Computer Aided
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