The latest evolution of GE Healthcare's Signa HD x (high definition x) platform offers MR pulse sequences that overcome barriers to diagnostic scans in some difficult-to-image patients. The xt version, shown at the RSNA meeting, features two major innovations: 3D Cube and Ideal.
The latest evolution of GE Healthcare's Signa HD x (high definition x) platform offers MR pulse sequences that overcome barriers to diagnostic scans in some difficult-to-image patients. The xt version, shown at the RSNA meeting, features two major innovations: 3D Cube and Ideal. 3D Cube's capture of submillimeter isotropic voxels allows the viewing of a volumetric data set in any plane and the visualization of lesions as small as 2 mm. Ideal improves image clarity through uniform fat suppression and handling multiple contrasts from fat, water, and the two combined, both in-phase and out-of-phase. It also reduces or eliminates artifacts due to chemical shift of metal implants, such as orthopedic screws or dental work, and eliminates misregistration between fat and water.
Can MRI-Based Deep Learning Improve Risk Stratification in PI-RADS 3 Cases?
January 30th 2025In external validation testing, a deep learning model demonstrated an average AUC of 87.6 percent for detecting clinically significant prostate cancer (csPCA) on prostate MRI for patients with PI-RADS 3 assessments.
Can Deep Learning Radiomics with bpMRI Bolster Accuracy for Prostate Cancer Prognosis?
January 22nd 2025An emerging deep learning radiomics model based on biparametric MRI (bpMRI) offered a 14 to 17 percent higher AUC range than PI-RADS scoring for predicting the aggressiveness of prostate cancer, according to new research findings.