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...

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Main Authors: Alonso Garcia-Ruiz, Pablo Naval-Baudin, Marta Ligero, Albert Pons-Escoda, Jordi Bruna, Gerard Plans, Nahum Calvo, Monica Cos, Carles Majós, Raquel Perez-Lopez
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-79829-3
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spelling doaj-8bd6ad5684ac4d938d88553a2be568f02021-01-17T12:42:17ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111010.1038/s41598-020-79829-3Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastomaAlonso Garcia-Ruiz0Pablo Naval-Baudin1Marta Ligero2Albert Pons-Escoda3Jordi Bruna4Gerard Plans5Nahum Calvo6Monica Cos7Carles Majós8Raquel Perez-Lopez9Radiomics Group, Vall d’Hebron Institute of Oncology (VHIO)Department of Radiology, Institut de Diagnòstic Per La Imatge (IDI), Bellvitge University HospitalRadiomics Group, Vall d’Hebron Institute of Oncology (VHIO)Department of Radiology, Institut de Diagnòstic Per La Imatge (IDI), Bellvitge University HospitalNeuro-Oncology Unit, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL)Neuro-Oncology Unit, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL)Department of Radiology, Institut de Diagnòstic Per La Imatge (IDI), Bellvitge University HospitalDepartment of Radiology, Institut de Diagnòstic Per La Imatge (IDI), Bellvitge University HospitalDepartment of Radiology, Institut de Diagnòstic Per La Imatge (IDI), Bellvitge University HospitalRadiomics Group, Vall d’Hebron Institute of Oncology (VHIO)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.https://doi.org/10.1038/s41598-020-79829-3
collection DOAJ
language English
format Article
sources DOAJ
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
spellingShingle 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
Scientific Reports
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 Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-01-01
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.
url https://doi.org/10.1038/s41598-020-79829-3
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