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
| Autor: | Axel Van Der Gucht, John O. Prior, Jean-Philippe Brouland, Marie Nicod-Lalonde, Vincent Dunet, Jocelyne Bloch, Karl-Josef Langen, Niklaus Schaefer, Antoine Verger, Paul Blanc-Durand |
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| Přispěvatelé: | Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Médecine Nucléaire [Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Universitätsklinikum RWTH Aachen - University Hospital Aachen [Aachen, Germany] (UKA), RWTH Aachen University, This work was supported by a grant from the Lionel Perrier Foundation (Montreux, Switzerland), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Lausanne University Hospital, Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), BIRKER, Juliette, Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging lcsh:Medicine Kaplan-Meier Estimate computer.software_genre Diagnostic Radiology 030218 nuclear medicine & medical imaging 0302 clinical medicine Voxel Positron Emission Tomography Computed Tomography Image Processing Computer-Assisted Medicine and Health Sciences Cluster Analysis Blastomas lcsh:Science Neurological Tumors Tomography Cultured Tumor Cells [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology Multidisciplinary medicine.diagnostic_test Radiology and Imaging Astrocytoma Glioma Middle Aged Prognosis Magnetic Resonance Imaging Isocitrate Dehydrogenase 3. Good health Adult Biomarkers Tumor Female Follow-Up Studies Glioma/diagnostic imaging Glioma/genetics Glioma/mortality Glioma/pathology Humans Isocitrate Dehydrogenase/genetics Mutation Neoplasm Grading Neoplasm Staging Positron-Emission Tomography Tyrosine/analogs & derivatives CZT Oncology Neurology Positron emission tomography 030220 oncology & carcinogenesis SPECT Biological Cultures ddc:500 Research Article Imaging Techniques Oligodendroglioma Brain tumor Neuroimaging [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine Research and Analysis Methods [SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine 03 medical and health sciences Diagnostic Medicine Cancer Detection and Diagnosis medicine [INFO.INFO-IM]Computer Science [cs]/Medical Imaging bone scintigraphy vertebral fracture Astrocytoma Cells business.industry lcsh:R Cancers and Neoplasms Biology and Life Sciences Magnetic resonance imaging Cell Cultures medicine.disease Tumor progression standardized uptake value Tyrosine lcsh:Q Nuclear medicine business computer Positron Emission Tomography Glioblastoma Multiforme [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology Neuroscience |
| Zdroj: | PLOS ONE 13(6), e0199379 (2018). doi:10.1371/journal.pone.0199379 PLoS ONE PLoS ONE, Public Library of Science, 2018, 13 (6), pp.e0199379. ⟨10.1371/journal.pone.0199379⟩ Europe PubMed Central PLoS ONE, Vol 13, Iss 6, p e0199379 (2018) PLoS ONE, Public Library of Science, 2018, 13, ⟨10.1371/journal.pone.0199379⟩ PloS one, vol. 13, no. 6, pp. e0199379 PLoS one 13(6), e0199379-(2018). doi:10.1371/journal.pone.0199379 PLoS ONE, 2018, 13 (6), pp.e0199379. ⟨10.1371/journal.pone.0199379⟩ |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0199379 |
| Popis: | International audience; IntroductionAim 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.MethodsThirty-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.ResultsTwenty 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).ConclusionsBased 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. |
| Databáze: | OpenAIRE |
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