- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
CT summation bolsters RFA's targeting accuracy
Merging multiple CT images increases the accuracy of probe repositioning during radiofrequency ablation treatments of various lesions, according to a recent study performed at Dartmouth-Hitchcock Medical Center.
Merging multiple CT images increases the accuracy of probe repositioning during radiofrequency ablation treatments of various lesions, according to a recent study performed at Dartmouth-Hitchcock Medical Center.
Author Dr. John M. Gemery, an assistant professor of vascular and interventional radiology at Dartmouth, successfully treated 40 patients using CT summation. The method allows for three or more probe placements to be seen at one time and takes about 30 seconds on a single-slice CT scanner to merge scans of different placements into a single set of images. According to Gemery, the process is much faster on newer multi-slice systems.
"Our discovery is an incremental step forward to improving image-guided treatments," Gemery said (AJR 2008:191:790-792).
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.
