Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population.
Purpose: To evaluate the performance of a computer-aided diagnosis (CAD) workstation in classifying cancer in a realistic data set representative of a clinical diagnostic breast ultrasonography (US) practice.Materials and Methods: The database consisted of consecutive diagnostic breast US scans coll...
| Publicado en: | Radiology Vol. 248; no. 2; pp. 392 - 398 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Radiological Society of North America
Aug2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105565018&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105565018 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00338419 0IQ jtl: Radiology issn: 00338419 maglogo: N pubinfo: dt: Aug2008 vid: 248 iid: 2 pid: 2091 pub: Radiological Society of North America place: Oak Brook, Illinois artinfo: ui: 105565018 105565018 NLM18574139 2010082204 10.1148/radiol.2482071778 NLM18574139 PMC2797650 105565018 ppf: 392 ppct: 6 formats: tig: atl: Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population. aug: au: Drukker K Gruszauskas NP Sennett CA Giger ML Drukker, Karen Gruszauskas, Nicholas P Sennett, Charlene A Giger, Maryellen L affil: Department of Radiology, University of Chicago, MC 2026, 5841 S Maryland Ave, Chicago, IL 6063, USA sug: subj: Breast Neoplasms Ultrasonography Diagnosis, Computer Assisted Ultrasonography User-Computer Interface Biopsy Diagnosis, Differential Female Pharmacokinetics ROC Curve Sensitivity and Specificity Human Female ab: Purpose: To evaluate the performance of a computer-aided diagnosis (CAD) workstation in classifying cancer in a realistic data set representative of a clinical diagnostic breast ultrasonography (US) practice.Materials and Methods: The database consisted of consecutive diagnostic breast US scans collected with informed consent with a protocol approved by the institutional review board and compliant with the HIPAA. Images from 508 patients with a total of 1046 distinct abnormalities were used. One hundred one patients had breast cancer. Results both for patients in whom the lesion abnormality was proved with either biopsy or aspiration (n = 183) and for all patients irrespective of biopsy status (n = 508) are presented. The ability of the CAD workstation to help differentiate malignancies from benign lesions was evaluated with a leave-one-out-by-case analysis. The clinical specificity of the radiologists for this dataset was determined according to the biopsy rate and outcome.Results: In the task of differentiating cancer from all other lesions sent to biopsy, the CAD workstation obtained an area under the receiver operating characteristic curve (AUC) value of 0.88, with 100% sensitivity at 26% specificity (157 cancers and 362 lesions total). The radiologists' specificity at 100% sensitivity for this set was zero. When analyzing all lesions irrespective of biopsy status, which is more representative of actual clinical practice, the CAD scheme obtained an AUC of 0.90 and 100% sensitivity at 30% specificity (157 cancers and 1046 lesions total). The radiologists' specificity at 100% sensitivity for this set was 77%.Conclusion: Current levels of computer performance warrant a clinical evaluation of the potential of US CAD to aid radiologists in lesion work-up recommendations. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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