Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence–Assisted 3-Dimensional MRI/CT Fusion Imaging
Résumé fourni par la source
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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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence–Assisted 3-Dimensional MRI/CT Fusion Imaging
- Date Crossref
- 01/01/2026
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
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