- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Breast MRI CAD zeroes in on malignant lesions
Results from two recent studies suggest computer-aided detection for breast MRI may be closing in on true cancer detection.
Results from two recent studies suggest computer-aided detection for breast MRI may be closing in on true cancer detection.
Researchers from Penn Diagnostics, a breast MRI CAD company, and George Washington University tested the ONCAD system for contrast-enhanced MRI. They reviewed images of 102 biopsy-proven breast cancers and 131 cancer-free breasts from six major U.S. research institutions. The investigators found ONCAD could identify up to 96% of true malignancies.
In another study, researchers from New York University and Siemens Medical Solutions presented results of a computer classification system designed to improve breast MRI BI-RADS classification. Forty patients were included in this study. The investigators found the automated classification tool yielded more accurate BI-RADS classifications than three radiologists blinded to results. Both studies were released at the 2008 ARRS meeting.
Computed Tomography Study Assesses Model for Predicting Recurrence of Non-Small Cell Lung Cancer
January 31st 2025A predictive model for non-small cell lung cancer (NSCLC) recurrence, based on clinical parameters and CT findings, demonstrated an 85.2 percent AUC and 83.3 percent sensitivity rate, according to external validation testing in a new study.
