Immunohistochemical markers predicting long-term recurrence following clival and spinal chordoma resection: a multicenter study
Neurosurgical FOCUS2023Vol. 54(6), pp. E15–E15
Citations Over TimeTop 13% of 2023 papers
Abdul Karim Ghaith, Oluwaseun O. Akinduro, A. Yohan Alexander, Anshit Goyal, Antonio Bon‐Nieves, Leonardo de Macêdo Filho, Andrea Otamendi-Lopez, Karim Rizwan Nathani, Kingsley Abode-Iyamah, Mark E. Jentoft, Bernard R. Bendok, Michelle J. Clarke, Michael J. Link, Jamie J. Van Gompel, Alfredo Quiñones‐Hinojosa, Mohamad Bydon
Abstract
The IHC and clinicopathological variables combined with tree-based ML tools successfully demonstrated a high capacity to identify recurrence patterns with an accuracy of 77%. S100, pan-cytokeratin, and EMA were the IHC drivers of recurrence. This shows the power of ML algorithms in analyzing and predicting outcomes of rare conditions of a small sample size.
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