Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States.
Purpose: To evaluate the robustness of a breast ultrasonographic (US) computer-aided diagnosis (CAD) system in terms of its performance across different patient populations.Materials and Methods: Three US databases were analyzed for this study: one South Korean and two United States databases. All t...
| Published in: | Radiology Vol. 253; no. 3; pp. 661 - 672 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Wolters Kluwer Health
2009 Dec
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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=105257546&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105257546 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00338419 0IQ jtl: Radiology issn: 00338419 maglogo: N pubinfo: dt: 2009 Dec vid: 253 iid: 3 pid: 79357 pub: Wolters Kluwer Health place: New York, New York artinfo: ui: 105257546 105257546 NLM19864511 2010495444 10.1148/radiol.2533090280 NLM19864511 PMC2786194 105257546 ppf: 661 ppct: 11 formats: tig: atl: Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States. aug: au: Gruszauskas NP Drukker K Giger ML Chang RF Sennett CA Moon WK Pesce LL Gruszauskas, Nicholas P Drukker, Karen Giger, Maryellen L Chang, Ruey-Feng Sennett, Charlene A Moon, Woo Kyung Pesce, Lorenzo L affil: Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637, USA sug: subj: Breast Neoplasms Ultrasonography Diagnosis, Computer Assisted Ultrasonography Probability Breast Neoplasms Epidemiology Female Human ROC Curve South Korea Nonparametric Statistics United States Urban Population Female ab: Purpose: To evaluate the robustness of a breast ultrasonographic (US) computer-aided diagnosis (CAD) system in terms of its performance across different patient populations.Materials and Methods: Three US databases were analyzed for this study: one South Korean and two United States databases. All three databases were utilized in an institutional review board-approved and HIPAA-compliant manner. Round-robin analysis and independent testing were performed to evaluate the performance of a computerized breast cancer classification scheme across the databases. Receiver operating characteristic (ROC) analysis was used to evaluate performance differences.Results: The round-robin analyses of each database demonstrated similar results, with areas under the ROC curve ranging from 0.88 (95% confidence interval [CI]: 0.820, 0.918) to 0.91 (95% CI: 0.86, 0.95). The independent testing of each database, however, indicated that although the performances were similar, the range in areas under the ROC curve (from 0.79 [95% CI: 0.730, 0.842] to 0.87 [95% CI: 0.794, 0.923]) was wider than that with the round-robin tests. However, the only instances in which statistically significant differences in performance were demonstrated occurred when the Korean database was used in a testing capacity in independent testing.Conclusion: The few observed statistically significant differences in performance indicated that while the US features used by the system were useful across the databases, their relative importance differed. In practice, this means that a CAD system may need to be adjusted when applied to a different population. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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