Computer-aided detection system performance on current and previous digital mammograms in patients with contralateral metachronous breast cancer.
Background: The computer-aided detection (CAD) system is widely used for screening mammography. The performance of the CAD system for contralateral breast cancer has not been reported for women with a history of breast cancer. Purpose: To retrospectively evaluate the performance of a CAD system on c...
| Published in: | Acta Radiologica Vol. 53; no. 4; pp. 376 - 382 |
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| Main Authors: | , , , , , , , |
| Format: | research Journal Article |
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Sage Publications Inc.
May2012
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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=104562543&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104562543 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02841851 1XG jtl: Acta Radiologica issn: 02841851 maglogo: Y pubinfo: dt: May2012 vid: 53 iid: 4 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 104562543 75173162 NLM22403080 75173162 10.1258/ar.2012.110521 NLM22403080 104562543 ppf: 376 ppct: 6 formats: tig: atl: Computer-aided detection system performance on current and previous digital mammograms in patients with contralateral metachronous breast cancer. aug: au: Kim SJ Moon WK Cho N Chang JM Kim, Seung Ja Moon, Woo Kyung Cho, Nariya Chang, Jung Min affil: Department of Radiology, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Korea sug: subj: Breast Neoplasms Radiography Mammography Neoplasms, Second Primary Radiography Radiographic Image Interpretation, Computer-Assisted Methods Adult Aged Aged, 80 and Over Breast Neoplasms Surgery Diagnosis, Differential False Positive Results Female Prospective Studies Human Mastectomy Methods Middle Age Retrospective Design Sensitivity and Specificity Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female ab: Background: The computer-aided detection (CAD) system is widely used for screening mammography. The performance of the CAD system for contralateral breast cancer has not been reported for women with a history of breast cancer. Purpose: To retrospectively evaluate the performance of a CAD system on current and previous mammograms in patients with contralateral metachronous breast cancer. Material and Methods: During a 3-year period, 4945 postoperative patients had follow-up examinations, from whom we selected 55 women with contralateral breast cancers. Among them, 38 had visible malignant signs on the current mammograms. We analyzed the sensitivity and false-positive marks of the system on the current and previous mammograms according to lesion type and breast density. Results: The total visible lesion components on the current mammograms included 27 masses and 14 calcifications in 38 patients. The case-based sensitivity for all lesion types was 63.2% (24/38) with false-positive marks of 0.71 per patient. The lesion-based sensitivity for masses and calcifications was 59.3% (16/27) and 71.4% (10/14), respectively. The lesion-based sensitivity for masses in fatty and dense breasts was 68.8% (11/16) and 45.5% (5/11), respectively. The lesion-based sensitivity for calcifications in fatty and dense breasts was 100.0% (3/3) and 63.6% (7/11), respectively. The total visible lesion components on the previous mammograms included 13 masses and three calcifications in 16 patients, and the sensitivity for all lesion types was 31.3% (5/16) with false-positive marks of 0.81 per patient. On these mammograms, the sensitivity for masses and calcifications was 30.8% (4/13) and 33.3% (1/3), respectively. The sensitivity in fatty and dense breasts was 28.6% (2/7) and 33.3% (3/9), respectively. Conclusion: In the women with a history of breast cancer, the sensitivity of the CAD system in visible contralateral breast cancer was lower than in most previous reports using the same CAD system probably due to the relatively small size, subtlety of the lesion findings, and dense parenchymal pattern. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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