ULTRASOUND & AI: PARTNERING TO BEAT BREAST CANCER

Summary

This retrospective analysis, involving 123 patients with breast masses, aimed to compare the performance of breast ultrasound with a computer-aided diagnostic (CAD) system to conventional ultrasound in detecting malignant breast cancer.

Using pathology results as the gold standard, the study found that CAD exhibited higher specificity (92.71% vs. 62.5%), accuracy (93.5% vs. 69.92%), and a significantly greater area under the receiver operating characteristic curve (AUC) compared to conventional ultrasound (0.9450 vs. 0.7940, p < 0.0001).

In a subgroup analysis of masses ≤20 mm, CAD consistently demonstrated higher specificity, accuracy, and AUC, suggesting its potential to improve diagnostic performance, especially in identifying benign lesions and reducing unnecessary invasive procedures.

ULTRASOUND & AI: PARTNERING TO BEAT BREAST CANCER

by Support time to read: <1 min
0

Contact Support

If you're interested in posting an article and need assistance, please don't hesitate to contact our support team. We're here to help you through the process, answer any questions you may have, and ensure that your article is published smoothly and effectively.

support@ehealthcommunity.org