Interpretation Time Using a Concurrent-Read Computer-Aided Detection System for Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breast Tissue
| Autor: | John Papaioannou, Alexandra Edwards, Yulei Jiang, Marc Inciardi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adult
medicine.medical_specialty Time Factors Breast Neoplasms Diagnostic accuracy 030218 nuclear medicine & medical imaging Automation 03 medical and health sciences Breast cancer screening 0302 clinical medicine Breast cancer Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Diagnosis Computer-Assisted skin and connective tissue diseases Breast ultrasound Early Detection of Cancer Aged Breast Density Retrospective Studies Aged 80 and over Breast tissue medicine.diagnostic_test business.industry General Medicine Middle Aged medicine.disease Computer aided detection 030220 oncology & carcinogenesis Female Clinical Competence Ultrasonography Mammary Radiology business |
| Zdroj: | American Journal of Roentgenology. 211:452-461 |
| ISSN: | 1546-3141 0361-803X |
| DOI: | 10.2214/ajr.18.19516 |
| Popis: | The purpose of this study was to compare diagnostic accuracy and interpretation time of screening automated breast ultrasound (ABUS) for women with dense breast tissue without and with use of a recently U.S. Food and Drug Administration-approved computer-aided detection (CAD) system for concurrent read.In a retrospective observer performance study, 18 radiologists interpreted a cancer-enriched set (i.e., cancer prevalence higher than in the original screening cohort) of 185 screening ABUS studies (52 with and 133 without breast cancer). These studies were from a large cohort of ABUS-screened patients interpreted as BI-RADS density C or D. Each reader interpreted each case twice in a counterbalanced study, once without the CAD system and once with it, separated by 4 weeks. For each case, each reader identified abnormal findings and reported BI-RADS assessment category and level of suspicion for breast cancer. Interpretation time was recorded. Level of suspicion data were compared to evaluate diagnostic accuracy by means of the Dorfman-Berbaum-Metz method of jackknife with ANOVA ROC analysis. Interpretation times were compared by ANOVA.The ROC AUC was 0.848 with the CAD system, compared with 0.828 without it, for a difference of 0.020 (95% CI, -0.011 to 0.051) and was statistically noninferior to the AUC without the CAD system with respect to a margin of -0.05 (p = 0.000086). The mean interpretation time was 3 minutes 33 seconds per case without the CAD system and 2 minutes 24 seconds with it, for a difference of 1 minute 9 seconds saved (95% CI, 44-93 seconds; p = 0.000014), or a reduction in interpretation time to 67% of the time without the CAD system.Use of the concurrent-read CAD system for interpretation of screening ABUS studies of women with dense breast tissue who do not have symptoms is expected to make interpretation significantly faster and produce noninferior diagnostic accuracy compared with interpretation without the CAD system. |
| Databáze: | OpenAIRE |
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