Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma

Abstract Glioblastoma is the most common primary brain tumor. Standard therapy consists of maximum safe resection combined with adjuvant radiochemotherapy followed by chemotherapy with temozolomide, however prognosis is extremely poor. Assessment of the residual tumor after surgery and patient strat...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Alonso Garcia-Ruiz, Pablo Naval-Baudin, Marta Ligero, Albert Pons-Escoda, Jordi Bruna, Gerard Plans, Nahum Calvo, Monica Cos, Carles Majós, Raquel Perez-Lopez
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/8bd6ad5684ac4d938d88553a2be568f0
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:8bd6ad5684ac4d938d88553a2be568f0
record_format dspace
spelling oai:doaj.org-article:8bd6ad5684ac4d938d88553a2be568f02021-12-02T14:01:37ZPrecise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma10.1038/s41598-020-79829-32045-2322https://doaj.org/article/8bd6ad5684ac4d938d88553a2be568f02021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79829-3https://doaj.org/toc/2045-2322Abstract Glioblastoma is the most common primary brain tumor. Standard therapy consists of maximum safe resection combined with adjuvant radiochemotherapy followed by chemotherapy with temozolomide, however prognosis is extremely poor. Assessment of the residual tumor after surgery and patient stratification into prognostic groups (i.e., by tumor volume) is currently hindered by the subjective evaluation of residual enhancement in medical images (magnetic resonance imaging [MRI]). Furthermore, objective evidence defining the optimal time to acquire the images is lacking. We analyzed 144 patients with glioblastoma, objectively quantified the enhancing residual tumor through computational image analysis and assessed the correlation with survival. Pathological enhancement thickness on post-surgical MRI correlated with survival (hazard ratio: 1.98, p < 0.001). The prognostic value of several imaging and clinical variables was analyzed individually and combined (radiomics AUC 0.71, p = 0.07; combined AUC 0.72, p < 0.001). Residual enhancement thickness and radiomics complemented clinical data for prognosis stratification in patients with glioblastoma. Significant results were only obtained for scans performed between 24 and 72 h after surgery, raising the possibility of confounding non-tumor enhancement in very early post-surgery MRI. Regarding the extent of resection, and in agreement with recent studies, the association between the measured tumor remnant and survival supports maximal safe resection whenever possible.Alonso Garcia-RuizPablo Naval-BaudinMarta LigeroAlbert Pons-EscodaJordi BrunaGerard PlansNahum CalvoMonica CosCarles MajósRaquel Perez-LopezNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Alonso Garcia-Ruiz
Pablo Naval-Baudin
Marta Ligero
Albert Pons-Escoda
Jordi Bruna
Gerard Plans
Nahum Calvo
Monica Cos
Carles Majós
Raquel Perez-Lopez
Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma
description Abstract Glioblastoma is the most common primary brain tumor. Standard therapy consists of maximum safe resection combined with adjuvant radiochemotherapy followed by chemotherapy with temozolomide, however prognosis is extremely poor. Assessment of the residual tumor after surgery and patient stratification into prognostic groups (i.e., by tumor volume) is currently hindered by the subjective evaluation of residual enhancement in medical images (magnetic resonance imaging [MRI]). Furthermore, objective evidence defining the optimal time to acquire the images is lacking. We analyzed 144 patients with glioblastoma, objectively quantified the enhancing residual tumor through computational image analysis and assessed the correlation with survival. Pathological enhancement thickness on post-surgical MRI correlated with survival (hazard ratio: 1.98, p < 0.001). The prognostic value of several imaging and clinical variables was analyzed individually and combined (radiomics AUC 0.71, p = 0.07; combined AUC 0.72, p < 0.001). Residual enhancement thickness and radiomics complemented clinical data for prognosis stratification in patients with glioblastoma. Significant results were only obtained for scans performed between 24 and 72 h after surgery, raising the possibility of confounding non-tumor enhancement in very early post-surgery MRI. Regarding the extent of resection, and in agreement with recent studies, the association between the measured tumor remnant and survival supports maximal safe resection whenever possible.
format article
author Alonso Garcia-Ruiz
Pablo Naval-Baudin
Marta Ligero
Albert Pons-Escoda
Jordi Bruna
Gerard Plans
Nahum Calvo
Monica Cos
Carles Majós
Raquel Perez-Lopez
author_facet Alonso Garcia-Ruiz
Pablo Naval-Baudin
Marta Ligero
Albert Pons-Escoda
Jordi Bruna
Gerard Plans
Nahum Calvo
Monica Cos
Carles Majós
Raquel Perez-Lopez
author_sort Alonso Garcia-Ruiz
title Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma
title_short Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma
title_full Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma
title_fullStr Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma
title_full_unstemmed Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma
title_sort precise enhancement quantification in post-operative mri as an indicator of residual tumor impact is associated with survival in patients with glioblastoma
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/8bd6ad5684ac4d938d88553a2be568f0
work_keys_str_mv AT alonsogarciaruiz preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT pablonavalbaudin preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT martaligero preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT albertponsescoda preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT jordibruna preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT gerardplans preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT nahumcalvo preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT monicacos preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT carlesmajos preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
AT raquelperezlopez preciseenhancementquantificationinpostoperativemriasanindicatorofresidualtumorimpactisassociatedwithsurvivalinpatientswithglioblastoma
_version_ 1718392155248001024