- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Poll: Do You Use Structured Reporting?
It’s hard to argue against improved, easy-to-understand radiology reports. To that end, should groups use structured reporting?
Advocates say structured templates help make reports clearer and more consistent. This improves communication and referrer satisfaction, and perhaps even report turnaround time. Plus, payers are increasingly more likely to deny reimbursement when certain details are overlooked.
Critics warn that if not correctly implemented, structured reporting can distract radiologists and slow down workflow. These systems could also limit a radiologist’s flexibility to customize a report based on the end-user.
Alexander J. Towbin, MD
Does your radiology group use structured reporting?
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.
