- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
History-based breast MR generates high yields
Screening women with breast MRI based solely on a personal history of breast cancer found malignancies in 12% of the women studied, with a positive predictive value biopsy rate of 39%.
Screening women with breast MRI based solely on a personal history of breast cancer found malignancies in 12% of the women studied, with a positive predictive value biopsy rate of 39%.
A retrospective review of 1699 breast MRI exams performed from 1999 to 2001 yielded 144 women with prior breast cancer who started regular breast MRI screening. Of the 144 women, 31% underwent biopsies prompted by MRI (AJR 2010;195:510-516).
Sixty-one biopsies found 17 carcinomas and one myxoid liposarcoma. The 10 detected by MRI were more likely than the other seven to be ductal carcinoma in situ or node-negative invasive breast cancer <1 cm in size.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.
