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.
| Autores: | , , , , , , , |
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| 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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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 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.publisher.none.fl_str_mv |
Frontiers Media |
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Frontiers Media |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869412278811492352 |
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15,811543 |