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Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence-Assisted 3-Dimensional
Koyo Koizumi1, Daisuke Ukeba1, Ken Nagahama1,2
1Department of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Case:
An 82-year-old woman presented with right medial thigh pain. Her medical history included multiple lumbar decompression and fusion surgeries. She was diagnosed with L3 radiculopathy secondary adjacent segment disease (ASD) after lumbar fusion. Full-endoscopic spine surgery (FESS) was performed for targeted decompression. Preoperative planning was conducted using AI-assisted 3-dimensional (3D) magnetic resonance imaging (MRI)/computed tomography (CT) fusion images. The procedure was completed under local anesthesia, resulting in postoperative pain relief. At the 3-year follow-up, the patient remained asymptomatic with no symptom recurrence.
Conclusion:
FESS, combined with detailed surgical planning using artificial intelligence -assisted 3D MRI/CT fusion imaging, may be an effective treatment strategy for ASD.
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