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Metabolic Tumor Volume Response Assessment Using (11)C-Methionine Positron Emission Tomography Identifies Glioblastoma Tumor Subregions That Predict Progression Better Than Baseline or Anatomic Magnetic Resonance Imaging Alone

PURPOSE: To evaluate whether response assessment of newly diagnosed glioblastoma at 3 months using (11)C-methionine-positron emission tomography (MET-PET) is better associated with patient outcome compared with baseline MET-PET or anatomic magnetic resonance imaging alone. METHODS AND MATERIALS: Pat...

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Autores principales: Miller, Sean, Li, Pin, Schipper, Matthew, Junck, Larry, Piert, Morand, Lawrence, Theodore S., Tsien, Christina, Cao, Yue, Kim, Michelle M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004943/
https://www.ncbi.nlm.nih.gov/pubmed/32051890
http://dx.doi.org/10.1016/j.adro.2019.08.004
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author Miller, Sean
Li, Pin
Schipper, Matthew
Junck, Larry
Piert, Morand
Lawrence, Theodore S.
Tsien, Christina
Cao, Yue
Kim, Michelle M.
author_facet Miller, Sean
Li, Pin
Schipper, Matthew
Junck, Larry
Piert, Morand
Lawrence, Theodore S.
Tsien, Christina
Cao, Yue
Kim, Michelle M.
author_sort Miller, Sean
collection PubMed
description PURPOSE: To evaluate whether response assessment of newly diagnosed glioblastoma at 3 months using (11)C-methionine-positron emission tomography (MET-PET) is better associated with patient outcome compared with baseline MET-PET or anatomic magnetic resonance imaging alone. METHODS AND MATERIALS: Patients included were participants in a phase I/II trial of dose-escalated chemoradiation based on anatomic magnetic resonance imaging. Automated segmentation of metabolic tumor volume (MTV) was performed at a threshold of 1.5 times mean cerebellar uptake. Progression-free (PFS) and overall survival were estimated with the Kaplan-Meier method and compared with log-rank tests. Multivariate analysis for PFS and overall survival was performed using Cox proportional hazards, and spatial overlap between imaging and recurrence volumes were analyzed. RESULTS: Among 37 patients, 15 had gross total resection, of whom 10 (67%) had residual MTV, 16 subtotal resection, and 6 biopsy alone. Median radiation therapy dose was 75 Gy (range, 66-81). Median baseline T1 Gd-enhanced tumor volume (GTV-Gd) was 38.0 cm(3) (range, 8.0-81.5). Median pre-CRT MTV was 4.9 cm(3) (range, 0-43.8). Among 25 patients with 3-month MET-PET, MTV was only 2.4 cm(3) (range, 0.004-18.0) in patients with uptake. Patients with MTV = 0 cm(3) at 3 months had superior PFS (18.2 vs 10.1 months, P = .03). On multivariate analysis, larger 3-month MTV (hazard ratio [HR] 2.4, 95% confidence interval [CI], 1.4-4.3, P = .03), persistent MET-PET subvolume (overlap of pre-CRT and 3 month MTV; HR 2.0, 95% CI, 1.2-3.4, P = .06), and increase in MTV (HR 1.8, 95% CI, 1.1-3.1, P = .09) were the only imaging factors significant for worse PFS. GTV-Gd at recurrence encompassed 97% of the persistent MET-PET subvolume (interquartile range 72%-100%), versus 71% (interquartile range 39%-93%) of baseline MTV, 54% of baseline GTV-Gd (18%-87%), and 78% of 3-month MTV (47%-95%). CONCLUSIONS: The majority of patients with apparent gross total resection of glioblastoma have measurable postoperative MTV. Total and persisting MTV 3 months post-CRT were significant predictors of PFS, and persistent MET-PET subvolume was the strongest predictor for localizing tumor recurrence.
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spelling pubmed-70049432020-02-12 Metabolic Tumor Volume Response Assessment Using (11)C-Methionine Positron Emission Tomography Identifies Glioblastoma Tumor Subregions That Predict Progression Better Than Baseline or Anatomic Magnetic Resonance Imaging Alone Miller, Sean Li, Pin Schipper, Matthew Junck, Larry Piert, Morand Lawrence, Theodore S. Tsien, Christina Cao, Yue Kim, Michelle M. Adv Radiat Oncol Central Nervous System Tumor PURPOSE: To evaluate whether response assessment of newly diagnosed glioblastoma at 3 months using (11)C-methionine-positron emission tomography (MET-PET) is better associated with patient outcome compared with baseline MET-PET or anatomic magnetic resonance imaging alone. METHODS AND MATERIALS: Patients included were participants in a phase I/II trial of dose-escalated chemoradiation based on anatomic magnetic resonance imaging. Automated segmentation of metabolic tumor volume (MTV) was performed at a threshold of 1.5 times mean cerebellar uptake. Progression-free (PFS) and overall survival were estimated with the Kaplan-Meier method and compared with log-rank tests. Multivariate analysis for PFS and overall survival was performed using Cox proportional hazards, and spatial overlap between imaging and recurrence volumes were analyzed. RESULTS: Among 37 patients, 15 had gross total resection, of whom 10 (67%) had residual MTV, 16 subtotal resection, and 6 biopsy alone. Median radiation therapy dose was 75 Gy (range, 66-81). Median baseline T1 Gd-enhanced tumor volume (GTV-Gd) was 38.0 cm(3) (range, 8.0-81.5). Median pre-CRT MTV was 4.9 cm(3) (range, 0-43.8). Among 25 patients with 3-month MET-PET, MTV was only 2.4 cm(3) (range, 0.004-18.0) in patients with uptake. Patients with MTV = 0 cm(3) at 3 months had superior PFS (18.2 vs 10.1 months, P = .03). On multivariate analysis, larger 3-month MTV (hazard ratio [HR] 2.4, 95% confidence interval [CI], 1.4-4.3, P = .03), persistent MET-PET subvolume (overlap of pre-CRT and 3 month MTV; HR 2.0, 95% CI, 1.2-3.4, P = .06), and increase in MTV (HR 1.8, 95% CI, 1.1-3.1, P = .09) were the only imaging factors significant for worse PFS. GTV-Gd at recurrence encompassed 97% of the persistent MET-PET subvolume (interquartile range 72%-100%), versus 71% (interquartile range 39%-93%) of baseline MTV, 54% of baseline GTV-Gd (18%-87%), and 78% of 3-month MTV (47%-95%). CONCLUSIONS: The majority of patients with apparent gross total resection of glioblastoma have measurable postoperative MTV. Total and persisting MTV 3 months post-CRT were significant predictors of PFS, and persistent MET-PET subvolume was the strongest predictor for localizing tumor recurrence. Elsevier 2019-09-07 /pmc/articles/PMC7004943/ /pubmed/32051890 http://dx.doi.org/10.1016/j.adro.2019.08.004 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Central Nervous System Tumor
Miller, Sean
Li, Pin
Schipper, Matthew
Junck, Larry
Piert, Morand
Lawrence, Theodore S.
Tsien, Christina
Cao, Yue
Kim, Michelle M.
Metabolic Tumor Volume Response Assessment Using (11)C-Methionine Positron Emission Tomography Identifies Glioblastoma Tumor Subregions That Predict Progression Better Than Baseline or Anatomic Magnetic Resonance Imaging Alone
title Metabolic Tumor Volume Response Assessment Using (11)C-Methionine Positron Emission Tomography Identifies Glioblastoma Tumor Subregions That Predict Progression Better Than Baseline or Anatomic Magnetic Resonance Imaging Alone
title_full Metabolic Tumor Volume Response Assessment Using (11)C-Methionine Positron Emission Tomography Identifies Glioblastoma Tumor Subregions That Predict Progression Better Than Baseline or Anatomic Magnetic Resonance Imaging Alone
title_fullStr Metabolic Tumor Volume Response Assessment Using (11)C-Methionine Positron Emission Tomography Identifies Glioblastoma Tumor Subregions That Predict Progression Better Than Baseline or Anatomic Magnetic Resonance Imaging Alone
title_full_unstemmed Metabolic Tumor Volume Response Assessment Using (11)C-Methionine Positron Emission Tomography Identifies Glioblastoma Tumor Subregions That Predict Progression Better Than Baseline or Anatomic Magnetic Resonance Imaging Alone
title_short Metabolic Tumor Volume Response Assessment Using (11)C-Methionine Positron Emission Tomography Identifies Glioblastoma Tumor Subregions That Predict Progression Better Than Baseline or Anatomic Magnetic Resonance Imaging Alone
title_sort metabolic tumor volume response assessment using (11)c-methionine positron emission tomography identifies glioblastoma tumor subregions that predict progression better than baseline or anatomic magnetic resonance imaging alone
topic Central Nervous System Tumor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004943/
https://www.ncbi.nlm.nih.gov/pubmed/32051890
http://dx.doi.org/10.1016/j.adro.2019.08.004
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