December 3rd 2024
The Max 3 syringe-less injector reportedly offers improved efficiency and intuitive features with contrast media use for magnetic resonance imaging.
Can MRI-Based AI Enhance Pre-Op Prediction of Tumor Deposits in Patients with Rectal Cancer?
October 31st 2024For patients with rectal cancer, an emerging nomogram that combines deep learning and clinical factors had greater than 16 percent and 23 percent increases in accuracy and specificity, respectively, for pre-op prediction of tumor deposits in comparison to clinical factors alone.
Artifact Reduction Drives Technology Advances with Updated Version of Echelon Synergy MRI System
October 30th 2024Emerging technologies included with the 10th version of the 1.5T MRI platform include Synergy DLR Clear and Synergy Vision that are geared toward mitigating common challenges with artifacts.
Can Diffusion MRI Predict Patient Response to Neoadjuvant Chemotherapy for Breast Cancer?
October 23rd 2024A model emphasizing time-dependent diffusion MRI was 15 percent more effective than apparent diffusion coefficient (ADC) measurements at predicting pathologic complete response to neoadjuvant chemotherapy for women with breast cancer, according to new research.
Is the Kaiser Score More Effective than BI-RADS for Assessing Contrast-Enhanced Mammography and MRI?
October 14th 2024For women with breast-enhanced masses, Kaiser scoring (KS) demonstrated a 20 percent higher AUC than BI-RADS classification for contrast-enhanced mammography (CEM) and was comparable to KS for breast MRI.
Enhancing Lesions on Breast MRI: Can an Updated Kaiser Scoring Model Improve Detection?
September 26th 2024The addition of parameters such as patient age, MIP sign and associated imaging features to the Kaiser score demonstrated a 95.6 percent AUC for breast cancer detection of enhancing lesions on breast MRI in recently published research.
New Meta-Analysis Examines MRI Assessment for Treatment of Esophageal Cancer
September 12th 2024Diffusion-weighted MRI provided pooled sensitivity and specificity rates of 82 percent and 81 percent respectively for gauging patient response to concurrent chemoradiotherapy for esophageal cancer, according to new meta-analysis.