Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació, Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Nvidia, European Commission, Research Council of Norway, AGENCIA ESTATAL DE INVESTIGACION, South-Eastern Norway Regional Health Authority, Álvarez-Torres, María del Mar, Juan-Albarracín, Javier, Fuster García, Elíes, Bellvís-Bataller, Fuensanta, Lorente, David, Reynés, Gaspar, Font de Mora, Jaime, Aparici-Robles, Fernando, Botella, Carlos, Muñoz-Langa, Jose, Faubel, Raquel, Asensio-Cuesta, Sabina, García-Ferrando, Germán A., Chelebian, Eduard, Auger, Cristina, Pineda, Jose, Rovira, Alex, Oleaga, Laura, Mollà Olmos, Enrique, Revert, Antonio J., Tshibanda, Luaba, Crisi, Girolamo, Emblem, Kyrre E., Martin, Didier, Due-Tønnessen, Paulina, Meling, Torstein R., Filice, Silvano, Sáez Silvestre, Carlos, Garcia-Gomez, Juan M, Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació, Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Nvidia, European Commission, Research Council of Norway, AGENCIA ESTATAL DE INVESTIGACION, South-Eastern Norway Regional Health Authority, Álvarez-Torres, María del Mar, Juan-Albarracín, Javier, Fuster García, Elíes, Bellvís-Bataller, Fuensanta, Lorente, David, Reynés, Gaspar, Font de Mora, Jaime, Aparici-Robles, Fernando, Botella, Carlos, Muñoz-Langa, Jose, Faubel, Raquel, Asensio-Cuesta, Sabina, García-Ferrando, Germán A., Chelebian, Eduard, Auger, Cristina, Pineda, Jose, Rovira, Alex, Oleaga, Laura, Mollà Olmos, Enrique, Revert, Antonio J., Tshibanda, Luaba, Crisi, Girolamo, Emblem, Kyrre E., Martin, Didier, Due-Tønnessen, Paulina, Meling, Torstein R., Filice, Silvano, Sáez Silvestre, Carlos, and Garcia-Gomez, Juan M
This is the peer reviewed version of the following article: del Mar Álvarez-Torres, M., Juan-Albarracín, J., Fuster-Garcia, E., Bellvís-Bataller, F., Lorente, D., Reynés, G., Font de Mora, J., Aparici-Robles, F., Botella, C., Muñoz-Langa, J., Faubel, R., Asensio-Cuesta, S., García-Ferrando, G.A., Chelebian, E., Auger, C., Pineda, J., Rovira, A., Oleaga, L., Mollà-Olmos, E., Revert, A.J., Tshibanda, L., Crisi, G., Emblem, K.E., Martin, D., Due-Tønnessen, P., Meling, T.R., Filice, S., Sáez, C. and García-Gómez, J.M. (2020), Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study. J Magn Reson Imaging, 51: 1478-1486, which has been published in final form at https://doi.org/10.1002/jmri.26958. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving., [EN] Background Glioblastoma (GBM) is the most aggressive primary brain tumor, characterized by a heterogeneous and abnormal vascularity. Subtypes of vascular habitats within the tumor and edema can be distinguished: high angiogenic tumor (HAT), low angiogenic tumor (LAT), infiltrated peripheral edema (IPE), and vasogenic peripheral edema (VPE). Purpose To validate the association between hemodynamic markers from vascular habitats and overall survival (OS) in glioblastoma patients, considering the intercenter variability of acquisition protocols. Study Type Multicenter retrospective study. Population In all, 184 glioblastoma patients from seven European centers participating in the NCT03439332 clinical study. Field Strength/Sequence 1.5T (for 54 patients) or 3.0T (for 130 patients). Pregadolinium and postgadolinium-based contrast agent-enhanced T-1-weighted MRI, T-2- and FLAIR T-2-weighted, and dynamic susceptibility contrast (DSC) T-2* perfusion. Assessment We analyzed preoperative MRIs to establish the association between the maximum relative cerebral blood volume (rCBV(max)) at each habitat with OS. Moreover, the stratification capabilities of the markers to divide patients into "vascular" groups were tested. The variability in the markers between individual centers was also assessed. Statistical Tests Uniparametric Cox regression; Kaplan-Meier test; Mann-Whitney test. Results The rCBV(max) derived from the HAT, LAT, and IPE habitats were significantly associated with patient OS (P < 0.05; hazard ratio [HR]: 1.05, 1.11, 1.28, respectively). Moreover, these markers can stratify patients into "moderate-" and "high-vascular" groups (P < 0.05). The Mann-Whitney test did not find significant differences among most of the centers in markers (HAT: P = 0.02-0.685; LAT: P = 0.010-0.769; IPE: P = 0.093-0.939; VPE: P = 0.016-1.000). Data Conclusion The rCBV(max) calculated in HAT, LAT, and IPE habitats have been validated as clinically relevant prognostic biomarkers for gli