Correlation of Ki-67 Index with Volumetric Segmentation and its Value as a Prognostic Marker in Glioblastoma.
Glioblastoma
Ki-67
Magnetic resonance imaging
Neuroimaging
Prognosis
Prognostic marker
Segmentation
Journal
World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
15
08
2018
revised:
31
01
2019
accepted:
01
02
2019
pubmed:
23
2
2019
medline:
4
1
2020
entrez:
22
2
2019
Statut:
ppublish
Résumé
Previous research has shown a strong correlation between the Ki-67 proliferation index and grade of malignancy in astrocytoma. Ki-67 has also shown encouraging results as a prognostic marker for patients' overall survival (OS). We focus on whether the index is linked to the appearance of glioblastoma on pretreatment magnetic resonance imaging (MRI) or to OS. In our retrospective study, only isocitrate dehydrogenase IDH wild-type glioblastoma was included (n = 152). Ki-67 index was quantified via immunohistochemistry. On all pretreatment MRI, tumor compartments (tumor, necrosis, and edema) were volumetrically assessed. An OS subpopulation was filtered from the total cohort (residual tumor volume ≤2 cm All volumetric assessed tumor volumes correlated with each other (P ≤ 0.011), although the Ki-67 index showed no correlation with any of the measured volumes. Concerning the OS, a cutoff value of 20% for the Ki-67 index showed a significant influence on patients' OS in multivariate analysis (P = 0.043). The unique appearance of every glioblastoma on MRI seems to be independent of the Ki-67 index. Furthermore, the Ki-67 index did show a distinct prognostic value for OS within our cohort at a cutoff value of 20% for Ki-67.
Identifiants
pubmed: 30790732
pii: S1878-8750(19)30369-9
doi: 10.1016/j.wneu.2019.02.006
pii:
doi:
Substances chimiques
Biomarkers, Tumor
0
Ki-67 Antigen
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1093-e1103Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.