- AI-Generated Synthetic STIR of the Lumbar Spine from T1 and T2 MRI Sequences Trained with Open-Source Algorithms
This proof-of-concept investigation used open-source generative adversarial networks to create synthetic lumbar spine MRI STIR from T1 and T2 sequences. Evaluating radiologists found the synthetic volumes were of equal or better quality in 77% of test patients and demonstrated equivalent or decreased motion artifacts in 78% of test patients. The synthetic volumes had high positive predictive value (75%-100%) but lower sensitivity (0%-67%) for common pathologies. The results from this study are a promising first step toward expediting imaging protocols.
- Imaging Findings in Giant Cell Arteritis: Don’t Turn a Blind Eye to the Obvious!
This pictorial review discusses the various cranial, extracranial, and orbital manifestations of giant cell arteritis on various imaging modalities, including ultrasound, vessel wall imaging, and CTA/MRA.
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