Information theory approaches to improve glioma diagnostic workflows in surgical neuropathology

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.

Авторы
Cevik L.1 , Landrove M.V.2 , Aslan M.T.1 , Khammad V. 3 , Garagorry Guerra F.J. , Cabello-Izquierdo Y.1 , Wang W.1 , Zhao J.5 , Becker A.P.1 , Czeisler C.1 , Rendeiro A.C.6 , Véras L.L.S.6 , Zanon M.F.7 , Reis R.M.7, 8 , Matsushita M.D.M.9 , Ozduman K.10 , Pamir M.N.10 , Ersen Danyeli A. , Pearce T.12 , Felicella M.13 , Eschbacher J.14 , Arakaki N.15 , Martinetto H.15 , Parwani A.1 , Thomas D.L.1 , Otero J.J.1
Журнал
Издательство
John Wiley and Sons Inc
Язык
Английский
Статус
Опубликовано
Год
2022
Организации
  • 1 Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, United States
  • 2 Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, United States
  • 3 Peoples' Friendship University of Russia, Moscow, Russian Federation
  • 4 Facultad de Medicina, UdeLaR, Cátedra de Anatomía Patológica, Hospital de Clínicas Manuel Quintela, Universidad de la República, Uruguay
  • 5 Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, United States
  • 6 Pathology Department, Barretos Cancer Hospital, Barretos, Brazil
  • 7 Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
  • 8 Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
  • 9 MultiPat Laboratório de Anatomia Patológica, Campinas, Brazil
  • 10 Department of Neurosurgery, Acibadem MAA University, Istanbul, Turkey
  • 11 Department of Pathology, Acıbadem University School of Medicine, Istanbul, Turkey
  • 12 Division of Neuropathology, Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
  • 13 Division of Neuropathology, Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
  • 14 Department of Pathology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States
  • 15 Departamento de Neuropatología y Biología Molecular, Instituto de Investigaciones Neurológicas Dr Raúl Carrea (FLENI), Buenos Aires, Argentina
Дата создания
06.07.2022
Дата изменения
06.07.2022
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/84322/
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