Quantitative volumetric assessment of baseline enhancing tumor volume as an imaging biomarker predicts overall survival in patients with glioblastoma.


Journal

Acta radiologica (Stockholm, Sweden : 1987)
ISSN: 1600-0455
Titre abrégé: Acta Radiol
Pays: England
ID NLM: 8706123

Informations de publication

Date de publication:
Sep 2021
Historique:
pubmed: 18 9 2020
medline: 9 9 2021
entrez: 17 9 2020
Statut: ppublish

Résumé

Glioblastoma multiforme (GBM) is the commonest malignant primary brain tumor and still has one of the worst prognoses among cancers in general. There is a need for non-invasive methods to predict individual prognosis in patients with GBM. To evaluate quantitative volumetric tissue assessment of enhancing tumor volume on cranial magnetic resonance imaging (MRI) as an imaging biomarker for predicting overall survival (OS) in patients with GBM. MRI scans of 49 patients with histopathologically confirmed GBM were analyzed retrospectively. Baseline contrast-enhanced (CE) MRI sequences were transferred to a segmentation-based three-dimensional quantification tool, and the enhancing tumor component was analyzed. Based on a cut-off percentage of the enhancing tumor volume (PoETV) of >84.78%, samples were dichotomized, and the OS and intracranial progression-free survival (PFS) were evaluated. Univariable and multivariable analyses, including variables such as sex, Karnofsky Performance Status score, The median OS and PFS were 16.9 and 7 months in the entire cohort, respectively. Patients with a CE tumor volume of >84.78% showed a significantly shortened OS (12.9 months) compared to those with a CE tumor volume of ≤84.78% (17.7 months) (hazard ratio [HR] 2.72; 95% confidence interval [CI] 1.22-6.03; We observed a correlation between PoETV and OS. This imaging biomarker may help predict the OS of patients with GBM.

Sections du résumé

BACKGROUND BACKGROUND
Glioblastoma multiforme (GBM) is the commonest malignant primary brain tumor and still has one of the worst prognoses among cancers in general. There is a need for non-invasive methods to predict individual prognosis in patients with GBM.
PURPOSE OBJECTIVE
To evaluate quantitative volumetric tissue assessment of enhancing tumor volume on cranial magnetic resonance imaging (MRI) as an imaging biomarker for predicting overall survival (OS) in patients with GBM.
MATERIAL AND METHODS METHODS
MRI scans of 49 patients with histopathologically confirmed GBM were analyzed retrospectively. Baseline contrast-enhanced (CE) MRI sequences were transferred to a segmentation-based three-dimensional quantification tool, and the enhancing tumor component was analyzed. Based on a cut-off percentage of the enhancing tumor volume (PoETV) of >84.78%, samples were dichotomized, and the OS and intracranial progression-free survival (PFS) were evaluated. Univariable and multivariable analyses, including variables such as sex, Karnofsky Performance Status score,
RESULTS RESULTS
The median OS and PFS were 16.9 and 7 months in the entire cohort, respectively. Patients with a CE tumor volume of >84.78% showed a significantly shortened OS (12.9 months) compared to those with a CE tumor volume of ≤84.78% (17.7 months) (hazard ratio [HR] 2.72; 95% confidence interval [CI] 1.22-6.03;
CONCLUSION CONCLUSIONS
We observed a correlation between PoETV and OS. This imaging biomarker may help predict the OS of patients with GBM.

Identifiants

pubmed: 32938221
doi: 10.1177/0284185120953796
doi:

Substances chimiques

Biomarkers, Tumor 0
Contrast Media 0

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1200-1207

Auteurs

Timo A Auer (TA)

Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Marta Della Seta (M)

Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Federico Collettini (F)

Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Julius Chapiro (J)

Department of Radiology, Yale University, New Haven, CT, USA.

Sebastian Zschaeck (S)

Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Pirus Ghadjar (P)

Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Harun Badakhshi (H)

Department of Radiation Oncology, Ernst von Bergmann Medical Center, Potsdam, Germany.

Julian Florange (J)

Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Bernd Hamm (B)

Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Volker Budach (V)

Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany.

David Kaul (D)

Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany.

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Classifications MeSH