Deep Learning ZTE MRI Increases Confidence in Bone Assessment of Hands and Feet

Adding deep learning-augmented zero echo time (ZTE DL) MRI to standard hand/foot protocols at 1.5T improved diagnostic confidence for bone findings (p<0.05 vs conventional MR and, for most lesions, vs radiographs) in 40 patients, though diagnostic accuracy wasn't assessed.

• In 40 patients with hand/foot MRI, adding a ZTE DL sequence improved reader confidence for bone changes versus standard MRI (p<0.05).
• Confidence was higher than radiographs for most pathologic bone findings (p<0.05), with moderate to substantial interreader agreement (κ=0.59–0.71).
• Single-center, retrospective, without a reference standard to assess diagnostic accuracy.

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