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Modern Treatment of Spinal metastases
Maxwell Boakye, MD MPH FACS FAANS Associate Professor of Neurosurgery Nelson Endowed Chair Center for Advanced Neurosurgery, University of Louisville
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My Background Neurosurgeon Residency 2002 Fellowships-complex spine-Emory and Spine Oncology-Sloan Kettering-2003 Stanford worked with cyberknife Special interest in spine tumors and spine radiosurgery
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Goals Epidemiology Presentation Imaging Role of Surgery Emerging Treatment paradigms Decision making and Frameworks Memorial Sloan Kettering NOMS criteria Cases
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Epidemiology 20000 new cases of metastatic epidural cord compression each year 10% of cancer patients will develop spinal metastatic About 70% of all cancer deaths occur in elderly patients aged over 65 Postmortem studies metastases present in 90% of patients with systemic cancer
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Epidemiology Number of elderly patients dying from cancer will double by 2030 By age 2050, the number of newly diagnosed patients aged 85 will quadruple
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Myelopathy-Motor, Sensory, Bowel/Bladder Pain
Signs and symptoms Myelopathy-Motor, Sensory, Bowel/Bladder Usually from epidural cord compression Pain Biologic nocturnal/early morning-resolves during day-usually from tumor infiltration, Steroid responsive Mechanical-movement related Radicular-usually epidural disease in foramen Other Symptoms e.g LOC or AMS from brain
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Imaging X-rays CT MRI PET
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Imaging findings Imaging Epidural disease only Vertebral disease only
Vertebral disease with epidural Cord compression Mechanical instability Pathological fractures Single level, Multiple level, Distant metastases
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Treatment options Surgery Radiation therapy Radiosurgery Chemotherapy
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Main surgical approaches
Anterior Transthoracic, Retroperitoneal Posterior Laminectomy Posterior transpedicular, costotransversectomy approach
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Epidural Compression: Surgery is superior to radiation
Patchell et. al, Lancet Vol 366: , 2005
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Patchell study
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Surgery vs. radiation-Patchell
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Surgery improves quality of life outcomes
Quan et. Al., Eur Spine Journal 2011 Jun 26
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Surgical complications
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Price of surgery: High Morbidity and mortality
Complication rates-20-40%
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Emerging Treatment Patterns
Vertebral augmentation Vertebroplasty Kyphoplasty Radiosurgery Combined kyphoplasty and radiosurgery
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KYPHOPLASTY
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KYPHOPLASTY
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CAFÉ TRIAL
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CAFÉ trial
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Berenson et. Al., Lancet Oncology 2011 Mar;12(3):225-35.
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CYBERKNIFE RADIOSURGERY
The CyberKnife® a robotic manipulator to move a compact linear accelerator with six degrees of freedom Real-Time Image Guidance Throughout the Treatment Dynamic Motion Tracking Allows for accuracy and conformality Louisville is getting one!!
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Other radiosurgery systems
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Concept of Separation surgery
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Separation surgery
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DECISION MAKING Who should be operated on? Frameworks for prognosis Algorithms and Decision aids
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Tokuhashi score ≥9:•Excision•Survival > 12 months
≤5:•Palliative•Survival < 3 months
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Decision Making-NOMS criteria
Neurologic Oncologic Mechanical Systemic
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NOMS criteria Neurologic-myelopathy, degree of epidural cord compression Oncologic- radiosensitivity of tumor Mechanical instability-movement related pain Systemic disease and medical comorbidities
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Neurologic-Classification of Epidural compression
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Neurologic-Classification of epidural compression
Bilsky M, Hematol Oncol Clin N Am 20 (2006) 1307–1317
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Oncologic-Radiosensitivity
–Myeloma & Lymphoma: most radiosensitive –Prostate, Breast, Lung and Colon: moderately –Thyroid, Kidney, Melanoma: not radiosensitive
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Mechanical Instability
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Systemic factors
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SINS score Ranges 0-18 0-6, Stable 7-12, indeterminate, possibly impending instability 13-18-Instability Surgical consultation is recommended for SINS score > 7. Fisher CG, Spine Vol 35(22): , 2010
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Oncologic factors-Impact of Comorbidities
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Oncologic and Systemic factors-survival
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Predictors of Survival
VAriable Hazard ratio 95% CI P-value Age 1.001 0.90 Ambulatory status 2.355 0.0001 Cervical mets 1.07 0.76 Comorbidity 2.96 0.007 Epidural compression 1.20 0.52 Pathologic fracture 1.41 0.08 Radiosensitivity 2.56 <0.0001 Radiotherapy 0.98 0.91 Urinary incontinence 1.16 0.47 Visceral mets 1.09 0.65
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NOMS decision framework.
Bilsky M, Hematol Oncol Clin N Am 20 (2006) 1307–1317
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