- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Patients know little about interventional radiology
Most patients referred to an interventional radiology procedure are unaware what the field is or may offer, according to a study by Canadian researchers.
Most patients referred to an interventional radiology procedure are unaware what the field is or may offer, according to a study by Canadian researchers.
Investigators led by Dr. Mark O. Baerlocher, a radiologist at the University of Toronto, assessed public awareness of interventional radiology in a survey of 100 consecutive patients referred for a procedure. They found that only 6% understood what interventional radiologists do (J Vasc Interv Radiol 2007;18:633-637).
Before their arrival in the interventional radiology department, 87% had had no knowledge of IR. About 82% had heard about angioplasty, however. Four percent were aware of vertebroplasty, 3% had heard about uterine artery embolization, and none could describe radiofrequency ablation. Diagnostic radiology did not fare much better. Only 28% expressed an understanding about how radiologists fit in healthcare practice.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
