Deep-learning reconstructed lumbar spine 3D MRI for surgical planning: pedicle screw placement and geometric measurements compared to CT.
Frederik AbelDarren R LeblGeorge GorgyDavid DaltonJ Levi ChazenElisha LimQian LiDarryl B SneagEk T TanPublished in: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (2024)
Deep-learning 3D MRI facilitates equivalent virtual pedicle screw placements and geometric assessments for most lumbar vertebrae, with the exception of vertebral body length at L1, L2, and L4, compared to CT for pre-operative planning in patients considered for robotic-navigated spine surgery.
Keyphrases
- contrast enhanced
- deep learning
- magnetic resonance imaging
- computed tomography
- end stage renal disease
- minimally invasive
- image quality
- ejection fraction
- dual energy
- diffusion weighted imaging
- chronic kidney disease
- magnetic resonance
- newly diagnosed
- convolutional neural network
- artificial intelligence
- machine learning
- prognostic factors
- positron emission tomography
- peritoneal dialysis