Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma

© 2020 Palpan Flores, Vivancos Sanchez, Roda, Cerdán, Barrios, Utrilla, Royo and Gandía González.

Detalles Bibliográficos
Autores: Palpan Jr., Alexis, Vivancos Sanchez, Catalina, Roda, José M., Cerdán, Sebastián, Barrios, Andrés Javier, Utrilla, Cristina, Royo, Aranzazu, Gandía-González, María L.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/231843
Acceso en línea:http://hdl.handle.net/10261/231843
Access Level:acceso abierto
Palabra clave:Glioblastoma
Overall survival
Progression free survival
IDH mutation
Tumor volumetry
Linear method
Semi-automatic segmentation method
Ellipsoid method
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spelling Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH GlioblastomaPalpan Jr., AlexisVivancos Sanchez, CatalinaRoda, José M.Cerdán, SebastiánBarrios, Andrés JavierUtrilla, CristinaRoyo, AranzazuGandía-González, María L.GlioblastomaOverall survivalProgression free survivalIDH mutationTumor volumetryLinear methodSemi-automatic segmentation methodEllipsoid method© 2020 Palpan Flores, Vivancos Sanchez, Roda, Cerdán, Barrios, Utrilla, Royo and Gandía González.[Objective]: We evaluate the performance of three MRI methods to determine non-invasively tumor size, as overall survival (OS) and Progression Free Survival (PFS) predictors, in a cohort of wild type, IDH negative, glioblastoma patients. Investigated protocols included bidimensional (2D) diameter measurements, and three-dimensional (3D) estimations by the ellipsoid or semi-automatic segmentation methods. [Methods]: We investigated OS in a cohort of 44 patients diagnosed with wild type IDH glioblastoma (58.2 ± 11.4 years, 1.9/1 male/female) treated with neurosurgical resection followed by adjuvant chemo and radiotherapy. Pre-operative MRI images were evaluated to determine tumor mass area and volume, gadolinium enhancement volume, necrosis volume, and FLAIR-T2 hyper-intensity area and volume. We implemented then multivariate Cox statistical analysis to select optimal predictors for OS and PFS. [Results]: Median OS was 16 months (1–42 months), ranging from 9 ± 2.4 months in patients over 65 years, to 18 ± 1.6 months in younger ones. Patients with tumors carrying O6-methylguanin-DNA-methyltransferase (MGMT) methylation survived 30 ± 5.2 vs. 13 ± 2.5 months in non-methylated. Our study evidenced high and positive correlations among the results of the three methods to determine tumor size. FLAIR-T2 hyper-intensity areas (2D) and volumes (3D) were also similar as determined by the three methods. Cox proportional hazards analysis with the 2D and 3D methods indicated that OS was associated to age ≥ 65 years (HR 2.70, 2.94, and 3.16), MGMT methylation (HR 2.98, 3.07, and 2.90), and FLAIR-T2 ≥ 2,000 mm2 or ≥60 cm3 (HR 4.16, 3.93, and 3.72), respectively. Other variables including necrosis, tumor mass, necrosis/tumor ratio, and FLAIR/tumor ratio were not significantly correlated with OS. [Conclusion]: Our results reveal a high correlation among measurements of tumor size performed with the three methods. Pre-operative FLAIR-T2 hyperintensity area and volumes provided, independently of the measurement method, the optimal neuroimaging features predicting OS in primary glioblastoma patients, followed by age ≥ 65 years and MGMT methylation.This work was supported in part by grants PI 2017/00361 from Instituto de Salud Carlos III to JR, MG, and AP and by grant B2017/BMD3688 from the Community of Madrid to JR, MG, and SC.Frontiers MediaInstituto de Salud Carlos IIIComunidad de MadridConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2021202120202021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/231843reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#B2017/BMD3688/MULTI-TARGET&VIEW-CMhttp://dx.doi.org/10.3389/fonc.2020.01662Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2318432026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma
title Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma
spellingShingle Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma
Palpan Jr., Alexis
Glioblastoma
Overall survival
Progression free survival
IDH mutation
Tumor volumetry
Linear method
Semi-automatic segmentation method
Ellipsoid method
title_short Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma
title_full Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma
title_fullStr Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma
title_full_unstemmed Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma
title_sort Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma
dc.creator.none.fl_str_mv Palpan Jr., Alexis
Vivancos Sanchez, Catalina
Roda, José M.
Cerdán, Sebastián
Barrios, Andrés Javier
Utrilla, Cristina
Royo, Aranzazu
Gandía-González, María L.
author Palpan Jr., Alexis
author_facet Palpan Jr., Alexis
Vivancos Sanchez, Catalina
Roda, José M.
Cerdán, Sebastián
Barrios, Andrés Javier
Utrilla, Cristina
Royo, Aranzazu
Gandía-González, María L.
author_role author
author2 Vivancos Sanchez, Catalina
Roda, José M.
Cerdán, Sebastián
Barrios, Andrés Javier
Utrilla, Cristina
Royo, Aranzazu
Gandía-González, María L.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto de Salud Carlos III
Comunidad de Madrid
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Glioblastoma
Overall survival
Progression free survival
IDH mutation
Tumor volumetry
Linear method
Semi-automatic segmentation method
Ellipsoid method
topic Glioblastoma
Overall survival
Progression free survival
IDH mutation
Tumor volumetry
Linear method
Semi-automatic segmentation method
Ellipsoid method
description © 2020 Palpan Flores, Vivancos Sanchez, Roda, Cerdán, Barrios, Utrilla, Royo and Gandía González.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/231843
url http://hdl.handle.net/10261/231843
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
B2017/BMD3688/MULTI-TARGET&VIEW-CM
http://dx.doi.org/10.3389/fonc.2020.01662

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
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