Cargando…

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

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 meas...

Descripción completa

Detalles Bibliográficos
Autores principales: Palpan Flores, Alexis, Vivancos Sanchez, Catalina, Roda, José M., Cerdán, Sebastian, Barrios, Andres Javier, Utrilla, Cristina, Royo, Aranzazu, Gandía González, Maria Luisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492614/
https://www.ncbi.nlm.nih.gov/pubmed/32984040
http://dx.doi.org/10.3389/fonc.2020.01662
_version_ 1783582404398546944
author Palpan Flores, Alexis
Vivancos Sanchez, Catalina
Roda, José M.
Cerdán, Sebastian
Barrios, Andres Javier
Utrilla, Cristina
Royo, Aranzazu
Gandía González, Maria Luisa
author_facet Palpan Flores, Alexis
Vivancos Sanchez, Catalina
Roda, José M.
Cerdán, Sebastian
Barrios, Andres Javier
Utrilla, Cristina
Royo, Aranzazu
Gandía González, Maria Luisa
author_sort Palpan Flores, Alexis
collection PubMed
description 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-T(2) 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 O(6)-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-T(2) 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-T(2) ≥ 2,000 mm(2) or ≥60 cm(3) (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-T(2) 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.
format Online
Article
Text
id pubmed-7492614
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-74926142020-09-25 Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma Palpan Flores, Alexis Vivancos Sanchez, Catalina Roda, José M. Cerdán, Sebastian Barrios, Andres Javier Utrilla, Cristina Royo, Aranzazu Gandía González, Maria Luisa Front Oncol Oncology 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-T(2) 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 O(6)-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-T(2) 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-T(2) ≥ 2,000 mm(2) or ≥60 cm(3) (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-T(2) 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. Frontiers Media S.A. 2020-09-02 /pmc/articles/PMC7492614/ /pubmed/32984040 http://dx.doi.org/10.3389/fonc.2020.01662 Text en Copyright © 2020 Palpan Flores, Vivancos Sanchez, Roda, Cerdán, Barrios, Utrilla, Royo and Gandía González. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Palpan Flores, Alexis
Vivancos Sanchez, Catalina
Roda, José M.
Cerdán, Sebastian
Barrios, Andres Javier
Utrilla, Cristina
Royo, Aranzazu
Gandía González, Maria Luisa
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
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_short 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
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492614/
https://www.ncbi.nlm.nih.gov/pubmed/32984040
http://dx.doi.org/10.3389/fonc.2020.01662
work_keys_str_mv AT palpanfloresalexis assessmentofpreoperativemeasurementsoftumorsizebymrimethodsassurvivalpredictorsinwildtypeidhglioblastoma
AT vivancossanchezcatalina assessmentofpreoperativemeasurementsoftumorsizebymrimethodsassurvivalpredictorsinwildtypeidhglioblastoma
AT rodajosem assessmentofpreoperativemeasurementsoftumorsizebymrimethodsassurvivalpredictorsinwildtypeidhglioblastoma
AT cerdansebastian assessmentofpreoperativemeasurementsoftumorsizebymrimethodsassurvivalpredictorsinwildtypeidhglioblastoma
AT barriosandresjavier assessmentofpreoperativemeasurementsoftumorsizebymrimethodsassurvivalpredictorsinwildtypeidhglioblastoma
AT utrillacristina assessmentofpreoperativemeasurementsoftumorsizebymrimethodsassurvivalpredictorsinwildtypeidhglioblastoma
AT royoaranzazu assessmentofpreoperativemeasurementsoftumorsizebymrimethodsassurvivalpredictorsinwildtypeidhglioblastoma
AT gandiagonzalezmarialuisa assessmentofpreoperativemeasurementsoftumorsizebymrimethodsassurvivalpredictorsinwildtypeidhglioblastoma