MRI

The Ezra Blueprint scan reportedly includes quantitative brain measurements, coronary calcium scoring (CAC) and a full-body MRI that provides screening for over 500 conditions.

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Leveraging AI technology, the AiMIFY software reportedly facilitates double the contrast enhancement in comparison to gadolinium-based contrast agents (GBCAs) for brain MRI.

For 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.

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Based off rapid magnetic resonance imaging (MRI), the AI-enabled MuscleView reportedly offers 3D analysis of muscle volume, muscle asymmetry and intramuscular fat.

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Noting a rapidly changing paradigm for the treatment of rectal cancers, the authors of a new literature review discuss current and emerging principles in MRI assessment and staging.

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The 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.

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Catch up on the top AI-related news and research in radiology over the past month.

Irrespective of differences with radiation dosing and tube voltage, obtaining CT-derived fat fraction from photon-counting detector CT provides consistently comparative results to MRI-derived proton density fat fraction assessment, according to new research.

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While noting the strength of MRI for complete staging of disease and ultrasound’s ability to provide local disease characterization, the authors of a new literature review suggest the two modalities offer comparable results for diagnosing pelvic endometriosis.

Diffusion-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.

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In a study involving 396 confirmed neuroendocrine tumor liver metastases, researchers found that Gd-EOB-DTPA-enhanced MRI offered 19 percent higher sensitivity than polyenergetic CT.

Offering enhanced deep learning technology, the updated NeuroQuant 5.0 software reportedly bolsters segmentation capabilities for amyloid-related imaging abnormalities (ARIA) in patients with Alzheimer’s disease.

In a comparison of imaging assessments to gauge the effectiveness of neoadjuvant chemotherapy for rectal adenocarcinoma, researchers found the combination of diffusion-weighted imaging and MR tumor regression grading had a 90 percent area under the curve (AUC) and a negative predictive value (NPV) of 93 percent.

Utilizing a new machine learning model, the OptimMRI software may improve radiosurgery applications and lesioning techniques such as MRI-guided focused ultrasound through enhanced targeting of the inferolateral part of the ventral intermediate nucleus (VIM).

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Catch up on the latest research in neuroradiology over the past month.

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology content of the past week.

A new MRI contrast agent may provide a viable non-invasive alternative for the detection of interstitial cystitis, according to preliminary research presented at the 5th International Consultation on Interstitial Cystitis Japan (ICICJ) in Kyoto, Japan.

Detecting cerebral microbleed (CMB) in one of six healthy adults in a new study, researchers also found that CMB was the only MRI marker of small vessel disease (SVD) to be significantly associated with traumatic brain injury (TBI).

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Acute clinical events with stable MRI (ACES) in patients with multiple sclerosis (MS) are reportedly associated with significantly higher rates of confirmed disability accrual, relapse-associated worsening, and transition to secondary progressive MS.