- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Viatronix
The longtime developer of diagnostic 3D imaging software is focused on workstation interactivity. Its V3D-Colon has achieved a high profile in the industry, as studies using the product have shown virtual colonoscopy to be comparable to traditional
The longtime developer of diagnostic 3D imaging software is focused on workstation interactivity. Its V3D-Colon has achieved a high profile in the industry, as studies using the product have shown virtual colonoscopy to be comparable to traditional colonoscopy.
- The V3D-Vascular module, cleared by the FDA just weeks before the meeting, allows radiologists to examine vessels in 2D and 3D and fly-through, view hard and soft plaques, and make precise measurements.
- V3D-Colon enables enhanced detection of polyps down to 3 mm. Other features reduce interpretation time to 15 minutes or less, provide ultrahigh resolution, and allow examinations of the entire colon.
- V3D-Explorer is a 2D and 3D workstation with task-specific screen layouts, segmenting capability, organ-specific presets, and report customization. The product is optimized for CT angiography, MR angiography, renal, cardiac, and orthopedic studies.
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.
