White Matter Tract Density Index Prediction Model of Overall Survival in Glioblastoma.


Journal

JAMA neurology
ISSN: 2168-6157
Titre abrégé: JAMA Neurol
Pays: United States
ID NLM: 101589536

Informations de publication

Date de publication:
01 Nov 2023
Historique:
pmc-release: 25 09 2024
medline: 14 11 2023
pubmed: 25 9 2023
entrez: 25 9 2023
Statut: ppublish

Résumé

The prognosis of overall survival (OS) in patients with glioblastoma (GBM) may depend on the underlying structural connectivity of the brain. To examine the association between white matter tracts affected by GBM and patients' OS by means of a new tract density index (TDI). This prognostic study in patients with a histopathologic diagnosis of GBM examined a discovery cohort of 112 patients who underwent surgery between February 1, 2015, and November 30, 2020 (follow-up to May 31, 2023), in Italy and 70 patients in a replicative cohort (n = 70) who underwent surgery between September 1, 2012, and November 30, 2015 (follow-up to May 31, 2023), in Germany. Statistical analyses were performed from June 1, 2021, to May 31, 2023. Thirteen and 12 patients were excluded from the discovery and the replicative sets, respectively, because of magnetic resonance imaging artifacts. The density of white matter tracts encompassing GBM. Correlation, linear regression, Cox proportional hazards regression, Kaplan-Meier, and prediction analysis were used to assess the association between the TDI and OS. Results were compared with common prognostic factors of GBM, including age, performance status, O6-methylguanine-DNA methyltransferase methylation, and extent of surgery. In the discovery cohort (n = 99; mean [SD] age, 62.2 [11.5] years; 29 female [29.3%]; 70 male [70.7%]), the TDI was significantly correlated with OS (r = -0.34; P < .001). This association was more stable compared with other prognostic factors. The TDI showed a significant regression pattern (Cox: hazard ratio, 0.28 [95% CI, 0.02-0.55; P = .04]; linear: t = -2.366; P = .02). and a significant Kaplan-Meier stratification of patients as having lower or higher OS based on the TDI (log-rank test = 4.52; P = .03). Results were confirmed in the replicative cohort (n = 58; mean [SD] age, 58.5 [11.1] years, 14 female [24.1%]; 44 male [75.9%]). High (24-month cutoff) and low (18-month cutoff) OS was predicted based on the TDI computed in the discovery cohort (accuracy = 87%). In this study, GBMs encompassing regions with low white matter tract density were associated with longer OS. These findings indicate that the TDI is a reliable presurgical outcome predictor that may be considered in clinical trials and clinical practice. These findings support a framework in which the outcome of GBM depends on the patient's brain organization.

Identifiants

pubmed: 37747720
pii: 2809862
doi: 10.1001/jamaneurol.2023.3284
pmc: PMC10520843
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1222-1231

Auteurs

Alessandro Salvalaggio (A)

Clinica Neurologica, Department of Neuroscience, University of Padova, Padova, Italy.
Padova Neuroscience Center, University of Padova, Padova, Italy.

Lorenzo Pini (L)

Clinica Neurologica, Department of Neuroscience, University of Padova, Padova, Italy.
Padova Neuroscience Center, University of Padova, Padova, Italy.

Matteo Gaiola (M)

Clinica Neurologica, Department of Neuroscience, University of Padova, Padova, Italy.

Aron Velco (A)

Clinica Neurologica, Department of Neuroscience, University of Padova, Padova, Italy.

Giulio Sansone (G)

Clinica Neurologica, Department of Neuroscience, University of Padova, Padova, Italy.

Mariagiulia Anglani (M)

Neuroradiology Unit, University Hospital of Padova, Padova, Italy.

Lucius Fekonja (L)

Department of Neurosurgery, Charité Universitätsmedizin Berlin, Berlin, Germany.
Cluster of Excellence "Matters of Activity. Image Space Material," Humboldt University, Berlin, Germany.

Franco Chioffi (F)

Division of Neurosurgery, Azienda Ospedaliera Università di Padova, Padova, Italy.

Thomas Picht (T)

Department of Neurosurgery, Charité Universitätsmedizin Berlin, Berlin, Germany.
Cluster of Excellence "Matters of Activity. Image Space Material," Humboldt University, Berlin, Germany.

Michel Thiebaut de Schotten (M)

Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France.
Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France.

Vittorina Zagonel (V)

Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.

Giuseppe Lombardi (G)

Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.

Domenico D'Avella (D)

Academic Neurosurgery, Department of Neurosciences, University of Padova, Padova, Italy.

Maurizio Corbetta (M)

Clinica Neurologica, Department of Neuroscience, University of Padova, Padova, Italy.
Padova Neuroscience Center, University of Padova, Padova, Italy.
Venetian Institute of Molecular Medicine, Fondazione Biomedica, Padova, Italy.

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