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Information theory approaches to improve glioma diagnostic workflows in surgical neuropathology

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dc.contributor.author Cevik, Lokman
dc.contributor.author Vazquez Landrove, Marilyn
dc.contributor.author Tahir Aslan, Mehmet
dc.contributor.author Khammad, Vasilii
dc.contributor.author Garagorry Guerra, Francisco Jose
dc.contributor.author Cabello-Izquierdo, Yolanda
dc.contributor.author Wang, Wesley
dc.contributor.author Zhao, Jing
dc.contributor.author Paixao Becker, Aline
dc.contributor.author Czeisler, Catherine
dc.contributor.author Costa Rendeiro, Anne
dc.contributor.author Sousa Véras, Lucas Luis
dc.contributor.author Zanon, Maicon Fernando
dc.contributor.author Reis, Rui Manuel
dc.contributor.author de Medeiros Matsushita, Marcus
dc.contributor.author Ozduman, Koray
dc.contributor.author Arakaki, Naomi
dc.contributor.author Martinetto, Horacio
dc.contributor.author Pamir, M. Necmettin
dc.contributor.author Ersen Danyeli, Ayca
dc.date.accessioned 2022-09-09T14:51:52Z
dc.date.available 2022-09-09T14:51:52Z
dc.date.issued 2022-09
dc.identifier.citation 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, Otero JJ. Information theory approaches to improve glioma diagnostic workflows in surgical neuropathology. Brain Pathol. 2022 Sep;32(5):e13050. doi: 10.1111/bpa.13050. Epub 2022 Jan 10. es_ES
dc.identifier.uri https://repositorio.fleni.org.ar/xmlui/handle/123456789/665
dc.identifier.uri https://doi.org/10.1111/bpa.13050
dc.description.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. es_ES
dc.language.iso eng es_ES
dc.publisher International Society of Neuropathology es_ES
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/2.5/ar/
dc.subject Glioma es_ES
dc.subject Neuropathology es_ES
dc.subject Neuropatología es_ES
dc.title Information theory approaches to improve glioma diagnostic workflows in surgical neuropathology es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.type info:eu-repo/semantics/acceptedVersion
dc.description.fil Fil: Arakaki, Naomi. Fleni. Departamento de Neuropatología y Biología Molecular; Argentina.
dc.description.fil Fil: Martinetto, Horacio. Fleni. Departamento de Neuropatología y Biología Molecular; Argentina.
dc.description.fil Fil: Cevik, Lokman. The Ohio State University Wexner Medical Center. Department of Pathology; Estados Unidos.
dc.description.fil Fil: Vazquez Landrove, Marilyn. The Ohio State University, Columbus. Mathematical Biosciences Institute; Estados Unidos.
dc.description.fil Fil: Tahir Aslan, Mehmet. The Ohio State University Wexner Medical Center. Department of Pathology; Estados Unidos.
dc.description.fil Fil: Khammad, Vasilii. Peoples' Friendship University of Russia; Rusia.
dc.description.fil Fil: Garagorry Guerra, Francisco Jose. Hospital de Clínicas Manuel Quintela. Universidad de la República. Facultad de Medicina. Cátedra de Anatomía Patológica; Uruguay.
dc.description.fil Fil: Cabello-Izquierdo, Yolanda. The Ohio State University Wexner Medical Center. Department of Pathology; Estados Unidos.
dc.description.fil Fil: Wang, Wesley. The Ohio State University Wexner Medical Center. Department of Pathology; Estados Unidos.
dc.description.fil Fil: Zhao, Jing. The Ohio State University College of Medicine. Department of Biomedical Informatic; Estados Unidos.
dc.description.fil Fil: Paixao Becker, Aline. Barretos Cancer Hospital. Pathology Department; Brasil.
dc.description.fil Fil: Czeisler, Catherine. The Ohio State University Wexner Medical Center. Department of Pathology; Estados Unidos.
dc.description.fil Fil: Costa Rendeiro, Anne. Fil: Paixao Becker, Aline. Barretos Cancer Hospital. Pathology Department; Brasil.
dc.description.fil Fil: Sousa Véras, Lucas Luis. Fil: Paixao Becker, Aline. Barretos Cancer Hospital. Pathology Department; Brasil.
dc.description.fil Fil: Zanon, Maicon Fernando. Barretos Cancer Hospital. Molecular Oncology Research Center; Brasil.
dc.description.fil Fil: Reis, Rui Manuel. Barretos Cancer Hospital. Molecular Oncology Research Center; Brasil. University of Minho. School of Medicine. Life and Health Sciences Research Institute; Portugal.
dc.description.fil Fil: De Medeiros Matsushita, Marcus. MultiPat Laboratório de Anatomia Patológica; Brasil.
dc.description.fil Fil: Ozduman, Koray. Acibadem MAA University. Department of Neurosurgery; Turquía.
dc.description.fil Fil: Pamir, M. Necmettin. Acıbadem University School of Medicine. Department of Pathology; Turquía.
dc.description.fil Fil: Ersen Danyeli, Ayca. Acıbadem University School of Medicine. Department of Pathology; Turquía.
dc.relation.ispartofVOLUME 32
dc.relation.ispartofNUMBER 5
dc.relation.ispartofPAGINATION e13050
dc.relation.ispartofCOUNTRY Suiza
dc.relation.ispartofTITLE Brain pathology
dc.relation.ispartofISSN 1750-3639
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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