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Glioblastoma is the most frequent malignant primary brain tumor. It has a very high mortality, with a median survival of 14.6 months for those patients receiving standard care.
Tumor surface properties as observed in routine magnetic resonance imaging have been largely neglected, although they contain information on the underlying growth processes.
Molab researchers, together with their coworkers, studied the prognostic and predictive value of surface-derived imaging biomarkers obtained from contrast -enhanced volumetric T1-weighted pretreatment magnetic resonance imaging sequences in patients with glioblastoma multiforme.
Their results showed that the surface regularity, a measure of how complex the tumor surface is, had a significant prognostic value. Moreover, it helped in classifying patients for surgery. Patients with complex surfaces did not benefit from extensive surgeries over less aggressive ones, while patient with regular surfaces did. Thus, surface regularity could be used as a biomarker of response to surgery and complement the standard methods in clinical decision-making on the extent of surgery.
Reference: Pérez-Beteta J, Martínez-González A, Molina D, Amo-Salas M, Luque B, Arregui E, Calvo M, Borrás JM, López C, Claramonte M, Barcia JA, Iglesias L, Avecillas J, Albillo D, Navarro M, Villanueva JM, Paniagua JC, Martino J, Velasquez C, Asenjo B, Benavides M, Herruzo I, Delgado MD, Del Valle A, Falkov A, Schucht P, Arana E, Pérez-Romasanta L, Pérez-García VM (2018) The regularity of the pretreatment tumor surface on 3D T1-weighted MRIs predicts survival of glioblastoma patients and may assist in patient selection for surgery. Radiology 288(1), 218-225. doi:10.1148/radiol.201171051
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