Prediction of Survival in Patients With Spinal Metastasis

<p>Featuring: Joseph H. Schwab, MD, MS</p> <p>Machine learning-based prediction decision support tools must necessarily evolve if patient outcomes involved. This is true in spinal metastases. The Sorg survival prediction algorithm is in perpetual states of validation and improvement. &nbsp;Changes in the algorithm reflect changes in patient outcomes which has happened in a subset of patients particularly those who are sensitive to targeted immuno therapeutics.</p> <p><br></p> <p>Disclosure:</p> <p>Schwab, Joseph H.: Scientific Advisory Board: Chordoma Foundation (Nonfinancial); Speaking and/or Teaching Arrangements: AO Spine (Travel Expense Reimbursement, Outside 12-Month Requirement), Stryker Spine (B, Outside 12-Month Requirement).</p> <p>Key: A: $100-$1,000; B: $1001-$10,000; C: $10,001-$25,000; D: $25,001-$50,000; E: $50,001-$100,000; F: $100,001- $500,000; G: $500,001-$1M; H: $1,000,001- $2.5M; I: $2.5M+</p>