- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Algorithm tackles breast density
Dense breasts complicate the evaluation of suspicious lesions, and Fuji is testing an algorithm designed to help. The algorithm estimates breast tissue density based on the relative densities of the pectoralis muscle and the fat in its immediate
Dense breasts complicate the evaluation of suspicious lesions, and Fuji is testing an algorithm designed to help. The algorithm estimates breast tissue density based on the relative densities of the pectoralis muscle and the fat in its immediate vicinity. Automatically and consistently calculating breast densities could assist radiologists in identifying the appropriate next steps in the diagnostic process, such as ultrasound examinations or breast MR. Clinical tests indicate strong correlation between density categorizations calculated using this new method and those determined by unaided radiologists.
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.
