1. Information theory approaches to improve glioma diagnostic workflows in surgical neuropathology.
- Author
-
Cevik L, Landrove MV, Aslan MT, Khammad V, Garagorry Guerra FJ, Cabello-Izquierdo Y, Wang W, Zhao J, Becker AP, Czeisler C, Rendeiro AC, Véras LLS, Zanon MF, Reis RM, Matsushita MM, Ozduman K, Pamir MN, Ersen Danyeli A, Pearce T, Felicella M, Eschbacher J, Arakaki N, Martinetto H, Parwani A, Thomas DL, and Otero JJ
- Subjects
- Chromosome Aberrations, Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 19, Ecosystem, Humans, In Situ Hybridization, Fluorescence, Information Theory, Isocitrate Dehydrogenase genetics, Mutation, Neuropathology, Tumor Suppressor Protein p53, Workflow, Brain Neoplasms pathology, Glioma pathology
- Abstract
Aims: Resource-strained healthcare ecosystems often struggle with the adoption of the World Health Organization (WHO) recommendations for the classification of central nervous system (CNS) tumors. The generation of robust clinical diagnostic aids and the advancement of simple solutions to inform investment strategies in surgical neuropathology would improve patient care in these settings., Methods: We used simple information theory calculations on a brain cancer simulation model and real-world data sets to compare contributions of clinical, histologic, immunohistochemical, and molecular information. An image noise assay was generated to compare the efficiencies of different image segmentation methods in H&E and Olig2 stained images obtained from digital slides. An auto-adjustable image analysis workflow was generated and compared with neuropathologists for p53 positivity quantification. Finally, the density of extracted features of the nuclei, p53 positivity quantification, and combined ATRX/age feature was used to generate a predictive model for 1p/19q codeletion in IDH-mutant tumors., Results: Information theory calculations can be performed on open access platforms and provide significant insight into linear and nonlinear associations between diagnostic biomarkers. Age, p53, and ATRX status have significant information for the diagnosis of IDH-mutant tumors. The predictive models may facilitate the reduction of false-positive 1p/19q codeletion by fluorescence in situ hybridization (FISH) testing., Conclusions: We posit that this approach provides an improvement on the cIMPACT-NOW workflow recommendations for IDH-mutant tumors and a framework for future resource and testing allocation., (© 2022 The Authors. Brain Pathology published by John Wiley & Sons Ltd on behalf of International Society of Neuropathology.)
- Published
- 2022
- Full Text
- View/download PDF