Core Concepts
PFB-CEUS and MP-MRI show comparable diagnostic performance for breast cancer, with the potential for enhanced efficiency when used together.
Stats
The area under the receiver operating characteristic curve (AUC) for the PFB-CEUS model to diagnose breast cancer was 0.89.
The AUC for the MP-MRI model to diagnose breast cancer was 0.89.
The AUC of the hybrid model (PFB-CEUS + MP-MRI) to diagnose breast cancer was 0.92.
90.3% false-positive and 66.7% false-negative results of PFB-CEUS radiologists could be corrected by the hybrid model.
90.5% false-positive and 42.8% false-negative results of MP-MRI radiologists could be corrected by the hybrid model.
Quotes
"PFB-CEUS can be used in the differential diagnosis of breast cancer with comparable performance to MP-MRI and with less time consumption."
"Using PFB-CEUS and MP-MRI as joint diagnostics could further strengthen the diagnostic ability."