A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study

Detalhes bibliográficos
Autor(a) principal: Alves, C. A. P. F.
Data de Publicação: 2021
Outros Autores: Lobel, U., Martin-Saavedra, J. S., Toescu, S., Tsunemi, M. H. [UNESP], Teixeira, S. R., Mankad, K., Hargrave, D., Jacques, T. S., Costa Leite, C. da, Goncalves, F. G., Vossough, A., D'Arco, F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3174/ajnr.A7057
http://hdl.handle.net/11449/210428
Resumo: BACKGROUND AND PURPOSE: Primary posterior fossa tumors comprise a large group of neoplasias with variable aggressiveness and short and long-term outcomes. This study aimed to validate the clinical usefulness of a radiologic decision flow chart based on previously published neuroradiologic knowledge for the diagnosis of posterior fossa tumors in children. MATERIALS AND METHODS: A retrospective study was conducted (from January 2013 to October 2019) at 2 pediatric referral centers, Children?s Hospital of Philadelphia, United States, and Great Ormond Street Hospital, United Kingdom. Inclusion criteria were younger than 18 years of age and histologically and molecularly confirmed posterior fossa tumors. Subjects with no available preoperative MR imaging and tumors located primarily in the brain stem were excluded. Imaging characteristics of the tumors were evaluated following a predesigned, step-by-step flow chart. Agreement between readers was tested with the Cohen ?, and each diagnosis was analyzed for accuracy. RESULTS: A total of 148 cases were included, with a median age of 3.4?years (interquartile range, 2.1?6.1 years), and a male/female ratio of 1.24. The predesigned flow chart facilitated identification of pilocytic astrocytoma, ependymoma, and medulloblastoma sonic hedgehog tumors with high sensitivity and specificity. On the basis of the results, the flow chart was adjusted so that it would also be able to better discriminate atypical teratoid/rhabdoid tumors and medulloblastoma groups 3 or 4 (sensitivity = 75%?79%; specificity = 92%?99%). Moreover, our adjusted flow chart was useful in ruling out ependymoma, pilocytic astrocytomas, and medulloblastoma sonic hedgehog tumors. CONCLUSIONS: The modified flow chart offers a structured tool to aid in the adjunct diagnosis of pediatric posterior fossa tumors. Our results also establish a useful starting point for prospective clinical studies and for the development of automated algorithms, which may provide precise and adequate diagnostic tools for these tumors in clinical practice.
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spelling A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation StudyBACKGROUND AND PURPOSE: Primary posterior fossa tumors comprise a large group of neoplasias with variable aggressiveness and short and long-term outcomes. This study aimed to validate the clinical usefulness of a radiologic decision flow chart based on previously published neuroradiologic knowledge for the diagnosis of posterior fossa tumors in children. MATERIALS AND METHODS: A retrospective study was conducted (from January 2013 to October 2019) at 2 pediatric referral centers, Children?s Hospital of Philadelphia, United States, and Great Ormond Street Hospital, United Kingdom. Inclusion criteria were younger than 18 years of age and histologically and molecularly confirmed posterior fossa tumors. Subjects with no available preoperative MR imaging and tumors located primarily in the brain stem were excluded. Imaging characteristics of the tumors were evaluated following a predesigned, step-by-step flow chart. Agreement between readers was tested with the Cohen ?, and each diagnosis was analyzed for accuracy. RESULTS: A total of 148 cases were included, with a median age of 3.4?years (interquartile range, 2.1?6.1 years), and a male/female ratio of 1.24. The predesigned flow chart facilitated identification of pilocytic astrocytoma, ependymoma, and medulloblastoma sonic hedgehog tumors with high sensitivity and specificity. On the basis of the results, the flow chart was adjusted so that it would also be able to better discriminate atypical teratoid/rhabdoid tumors and medulloblastoma groups 3 or 4 (sensitivity = 75%?79%; specificity = 92%?99%). Moreover, our adjusted flow chart was useful in ruling out ependymoma, pilocytic astrocytomas, and medulloblastoma sonic hedgehog tumors. CONCLUSIONS: The modified flow chart offers a structured tool to aid in the adjunct diagnosis of pediatric posterior fossa tumors. Our results also establish a useful starting point for prospective clinical studies and for the development of automated algorithms, which may provide precise and adequate diagnostic tools for these tumors in clinical practice.Childrens Hosp Philadelphia, Div Neuroradiol, Dept Radiol, 3401 Civ Ctr Blvd, Philadelphia, PA 19104 USAUCL, Great Ormond St Hosp Children, Dept Radiol, London, EnglandUCL, Great Ormond St Hosp Children, Dept Neurosurg, London, EnglandSao Paulo State Univ, Dept Biostat, Inst Biociencias, Sao Paulo, BrazilUCL, Great Ormond St Inst Child Hlth, Dev Biol & Canc Programme, London, EnglandHosp Clin Sao Paulo, Fac Med Sao Paulo, Dept Radiol, Sao Paulo, BrazilSao Paulo State Univ, Dept Biostat, Inst Biociencias, Sao Paulo, BrazilAmer Soc NeuroradiologyChildrens Hosp PhiladelphiaUCLUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Alves, C. A. P. F.Lobel, U.Martin-Saavedra, J. S.Toescu, S.Tsunemi, M. H. [UNESP]Teixeira, S. R.Mankad, K.Hargrave, D.Jacques, T. S.Costa Leite, C. daGoncalves, F. G.Vossough, A.D'Arco, F.2021-06-25T15:20:19Z2021-06-25T15:20:19Z2021-03-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article961-968http://dx.doi.org/10.3174/ajnr.A7057American Journal Of Neuroradiology. Denville: Amer Soc Neuroradiology, v. 42, n. 5, p. 961-968, 2021.0195-6108http://hdl.handle.net/11449/21042810.3174/ajnr.A7057WOS:000644235100001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAmerican Journal Of Neuroradiologyinfo:eu-repo/semantics/openAccess2021-10-23T20:17:31Zoai:repositorio.unesp.br:11449/210428Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T20:17:31Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
title A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
spellingShingle A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
Alves, C. A. P. F.
title_short A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
title_full A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
title_fullStr A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
title_full_unstemmed A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
title_sort A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
author Alves, C. A. P. F.
author_facet Alves, C. A. P. F.
Lobel, U.
Martin-Saavedra, J. S.
Toescu, S.
Tsunemi, M. H. [UNESP]
Teixeira, S. R.
Mankad, K.
Hargrave, D.
Jacques, T. S.
Costa Leite, C. da
Goncalves, F. G.
Vossough, A.
D'Arco, F.
author_role author
author2 Lobel, U.
Martin-Saavedra, J. S.
Toescu, S.
Tsunemi, M. H. [UNESP]
Teixeira, S. R.
Mankad, K.
Hargrave, D.
Jacques, T. S.
Costa Leite, C. da
Goncalves, F. G.
Vossough, A.
D'Arco, F.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Childrens Hosp Philadelphia
UCL
Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Alves, C. A. P. F.
Lobel, U.
Martin-Saavedra, J. S.
Toescu, S.
Tsunemi, M. H. [UNESP]
Teixeira, S. R.
Mankad, K.
Hargrave, D.
Jacques, T. S.
Costa Leite, C. da
Goncalves, F. G.
Vossough, A.
D'Arco, F.
description BACKGROUND AND PURPOSE: Primary posterior fossa tumors comprise a large group of neoplasias with variable aggressiveness and short and long-term outcomes. This study aimed to validate the clinical usefulness of a radiologic decision flow chart based on previously published neuroradiologic knowledge for the diagnosis of posterior fossa tumors in children. MATERIALS AND METHODS: A retrospective study was conducted (from January 2013 to October 2019) at 2 pediatric referral centers, Children?s Hospital of Philadelphia, United States, and Great Ormond Street Hospital, United Kingdom. Inclusion criteria were younger than 18 years of age and histologically and molecularly confirmed posterior fossa tumors. Subjects with no available preoperative MR imaging and tumors located primarily in the brain stem were excluded. Imaging characteristics of the tumors were evaluated following a predesigned, step-by-step flow chart. Agreement between readers was tested with the Cohen ?, and each diagnosis was analyzed for accuracy. RESULTS: A total of 148 cases were included, with a median age of 3.4?years (interquartile range, 2.1?6.1 years), and a male/female ratio of 1.24. The predesigned flow chart facilitated identification of pilocytic astrocytoma, ependymoma, and medulloblastoma sonic hedgehog tumors with high sensitivity and specificity. On the basis of the results, the flow chart was adjusted so that it would also be able to better discriminate atypical teratoid/rhabdoid tumors and medulloblastoma groups 3 or 4 (sensitivity = 75%?79%; specificity = 92%?99%). Moreover, our adjusted flow chart was useful in ruling out ependymoma, pilocytic astrocytomas, and medulloblastoma sonic hedgehog tumors. CONCLUSIONS: The modified flow chart offers a structured tool to aid in the adjunct diagnosis of pediatric posterior fossa tumors. Our results also establish a useful starting point for prospective clinical studies and for the development of automated algorithms, which may provide precise and adequate diagnostic tools for these tumors in clinical practice.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T15:20:19Z
2021-06-25T15:20:19Z
2021-03-04
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3174/ajnr.A7057
American Journal Of Neuroradiology. Denville: Amer Soc Neuroradiology, v. 42, n. 5, p. 961-968, 2021.
0195-6108
http://hdl.handle.net/11449/210428
10.3174/ajnr.A7057
WOS:000644235100001
url http://dx.doi.org/10.3174/ajnr.A7057
http://hdl.handle.net/11449/210428
identifier_str_mv American Journal Of Neuroradiology. Denville: Amer Soc Neuroradiology, v. 42, n. 5, p. 961-968, 2021.
0195-6108
10.3174/ajnr.A7057
WOS:000644235100001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv American Journal Of Neuroradiology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 961-968
dc.publisher.none.fl_str_mv Amer Soc Neuroradiology
publisher.none.fl_str_mv Amer Soc Neuroradiology
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
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collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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