- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
CT proves clinical worth in bowel obstruction cases
Two and a half years worth of data suggest that CT is the most accurate, cost-effective imaging modality for diagnosing the causes of large bowel obstruction, according to investigators in the U.K.
Two and a half years worth of data suggest that CT is the most accurate, cost-effective imaging modality for diagnosing the causes of large bowel obstruction, according to investigators in the U.K.
Principal researcher Dr. Sathi Sukumar, a consultant radiologist at the University Hospital of South Manchester, and colleagues retrospectively reviewed 2400 CT reports on inpatient cases of suspected large bowel obstruction, large bowel dilatation, or pseudo-obstruction spanning 30 months of clinical practice. They identified 42 on whom clinical, endoscopic, and surgical follow-up data were available. The investigators found that CT was highly sensitive and specific in identifying the causes of dilated large bowel loops in these patients. They released preliminary findings at the 2008 American Roentgen Ray Society meeting.
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.
