Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomas.

Details

Ressource 1Download: PMID29953478.pdf (4693.00 [Ko])
State: Public
Version: Final published version
Serval ID
serval:BIB_569C97726CCF
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomas.
Journal
PloS one
Author(s)
Blanc-Durand P., Van Der Gucht A., Verger A., Langen K.J., Dunet V., Bloch J., Brouland J.P., Nicod-Lalonde M., Schaefer N., Prior J.O.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Publication state
Published
Issued date
2018
Peer-reviewed
Oui
Volume
13
Number
6
Pages
e0199379
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Abstract
Aim was to develop a full automatic clustering approach of the time-activity curves (TAC) from dynamic 18F-FET PET and evaluate its association with IDH1 mutation status and survival in patients with gliomas.
Thirty-seven patients (mean age: 45±13 y) with newly diagnosed gliomas and dynamic 18F-FET PET before any histopathologic investigation or treatment were retrospectively included. Each dynamic 18F-FET PET was realigned to the first image and spatially normalized in the Montreal Neurological Institute template. A tumor mask was semi-automatically generated from Z-score maps. Each brain tumor voxel was clustered in one of the 3 following centroids using dynamic time warping and k-means clustering (centroid #1: slowly increasing slope; centroid #2: rapidly increasing followed by slowly decreasing slope; and centroid #3: rapidly increasing followed by rapidly decreasing slope). The percentage of each dynamic 18F-FET TAC within tumors and other conventional 18F-FET PET parameters (maximum and mean tumor-to-brain ratios [TBRmax and TBRmean], time-to-peak [TTP] and slope) was compared between wild-type and IDH1 mutant tumors. Their prognostic value was assessed in terms of progression free-survival (PFS) and overall survival (OS) by Kaplan-Meier estimates.
Twenty patients were IDH1 wild-type and 17 IDH1 mutant. Higher percentage of centroid #1 and centroid #3 within tumors were positively (P = 0.016) and negatively (P = 0.01) correlated with IDH1 mutated status. Also, TBRmax, TBRmean, TTP, and slope discriminated significantly between tumors with and without IDH1 mutation (P range 0.01 to 0.04). Progression occurred in 22 patients (59%) at a median of 13.1 months (7.6-37.6 months) and 13 patients (35%) died from tumor progression. Patients with a percentage of centroid #1 > 90% had a longer survival compared with those with a percentage of centroid #1 < 90% (P = 0.003 for PFS and P = 0.028 for OS). This remained significant after stratification on IDH1 mutation status (P = 0.029 for PFS and P = 0.034 for OS). Compared to other conventional 18F-FET PET parameters, TTP and slope were associated with PFS and OS (P range 0.009 to 0.04).
Based on dynamic 18F-FET PET acquisition, we developed a full automatic clustering approach of TAC which appears to be a valuable noninvasive diagnostic and prognostic marker in patients with gliomas.
Keywords
Adult, Biomarkers, Tumor, Cluster Analysis, Female, Follow-Up Studies, Glioma/diagnostic imaging, Glioma/genetics, Glioma/mortality, Glioma/pathology, Humans, Image Processing, Computer-Assisted, Isocitrate Dehydrogenase/genetics, Kaplan-Meier Estimate, Male, Middle Aged, Mutation, Neoplasm Grading, Neoplasm Staging, Positron Emission Tomography Computed Tomography, Positron-Emission Tomography, Prognosis, Tyrosine/analogs & derivatives
Pubmed
Web of science
Open Access
Yes
Create date
02/07/2018 17:31
Last modification date
02/09/2019 12:31
Usage data