Association between immunohistochemical markers and tumor progression following resection of spinal chordomas: a multicenter study

CONCLUSIONS: These IHC variables with tree-based machine learning tools successfully demonstrate a high capacity to identify a patient's tumor progression pattern with an accuracy of 66%. Pancytokeratin, EMA, cytokeratin A1/A3, and S100 protein were the IHC drivers of a low tumor progression. This shows the power of machine learning algorithms in analyzing and predicting outcomes of rare conditions in a small sample size.PMID:37728388 | DOI:10.3171/2023.6.SPINE23348

Source: Journal of Neurosurgery.Spine - September 20, 2023 Category: Neurosurgery Authors: Abdul Karim Ghaith Oluwaseun O Akinduro Carlos Perez-Vega Antonio Bon Nieves Kingsley Abode-Iyamah Naresh Patel Maziyar Kalani Michelle J Clarke Peter Rose Mohamad Bydon Source Type: research