Improving digital breast tomosynthesis reading time: A pilot multi-reader, multi-case study using concurrent Computer-Aided Detection (CAD). Issue 97 (December 2017)

• Record Type: Journal Article
• Authors: Balleyguier, Corinne; Arfi-Rouche, Julia; Levy, Laurent; Toubiana, Patrick R.; Cohen-Scali, Franck; Toledano, Alicia Y.; Boyer, Bruno
• Is Part Of: European journal of radiology. Issue 97(2017)
• Page Start: 83
• Page End: 89
• Publication Date: 2017-12
• Subjects: ACR American College of Radiology -- ANOVA Analysis of variance -- AUC Area Under the ROC Curve -- BI-RADS® Breast Imaging Reporting and Data System -- CAD computer-aided detection -- CC craniocaudal -- CI confidence interval -- CRF case report form -- CTC CT colonography -- DBT digital breast tomosynthesis -- DMIST Digital Mammographic Imaging Screening Trial -- FFDM full field digital mammography -- HIPAA Health Insurance Portability and Accountability Act -- IDC invasive ductal carcinoma -- MLO mediolateral oblique -- MRMC multi-reader, multi-case -- POM probability of malignancy -- ROC Receiver Operating Characteristic; Diagnostic imaging -- Breast cancer -- Computer-assisted diagnosis -- Digital breast tomosynthesis -- Time studies; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2017.10.014
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: Concurrent CAD enables radiologists to review breast tomosynthesis 23.5% faster. The performance of the radiologist for detecting breast cancer is not changed. Concurrent CAD appears promising for application with breast cancer screening. Abstract: Purpose: Evaluate concurrent Computer-Aided Detection (CAD) with Digital Breast Tomosynthesis (DBT) to determine impact on radiologist performance and reading time. Materials and methods: The CAD system detects and extracts suspicious masses, architectural distortions and asymmetries from DBT planes that are blended into corresponding synthetic images to form CAD-enhanced synthetic images. Review of CAD-enhanced images and navigation to corresponding planes to confirm or dismiss potential lesions allows radiologists to more quickly review DBT planes. A retrospective, crossover study with and without CAD was conducted with six radiologists who read an enriched sample of 80 DBT cases including 23 malignant lesions in 21 women. Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) compared the readings with and without CAD to determine the effect of CAD on overall interpretation performance. Sensitivity, specificity, recall rate and reading time were also assessed. Multi-reader, multi-case (MRMC) methods accounting for correlation and requiring correct lesion localization were used to analyze all endpoints. AUCs were based on a 0–100% probability of malignancy (POM) score. Sensitivity and specificity were based on BI-RADS scores, where 3 or higher was positive. Results: Average AUC across readers without CAD was 0.854 (range: 0.785-0.891, 95% confidence interval (CI): 0.769, 0.939) and 0.850 (range: 0.746-0.905, 95% CI: 0.751, 0.949) with CAD (95% CI for difference: −0.046, 0.039), demonstrating non-inferiority of AUC. Average reduction in reading time with CAD was 23.5% (95% CI: 7.0–37.0% improvement), from an average 48.2 (95% CI: 39.1, 59.6) seconds without CAD to 39.1 (95% CI: 26.2, 54.5) seconds with CAD. Per-patient sensitivity was the same with and without CAD (0.865; 95% CI for difference: −0.070, 0.070), and there was a small 0.022 improvement (95% CI for difference: ‐0.046, 0.089) in per-lesion sensitivity from 0.790 without CAD to 0.812 with CAD. A slight reduction in specificity with a −0.014 difference (95% CI for difference: ‐0.079, 0.050) and a small 0.025 increase (95% CI for difference: −0.036, 0.087) in recall rate in non-cancer cases were observed with CAD. Conclusions: Concurrent CAD resulted in faster reading time with non-inferiority of radiologist interpretation performance. Radiologist sensitivity, specificity and recall rate were similar with and without CAD.