Prediction of Glioma Grade and IDH Status Using <sup>18</sup>F-FET PET/CT Dynamic and Multiparametric Texture Analysis
Mutations in isocitrate dehydrogenase (IDH) represent an independent predictor of better survival in patients with gliomas. We aimed to assess grade and IDH mutation status in patients with untreated gliomas, by evaluating the respective value of <sup>18</sup>F-FET PET/CT via dynamic and...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/13/15/2604 |
_version_ | 1797586880021135360 |
---|---|
author | Rami Hajri Marie Nicod-Lalonde Andreas F. Hottinger John O. Prior Vincent Dunet |
author_facet | Rami Hajri Marie Nicod-Lalonde Andreas F. Hottinger John O. Prior Vincent Dunet |
author_sort | Rami Hajri |
collection | DOAJ |
description | Mutations in isocitrate dehydrogenase (IDH) represent an independent predictor of better survival in patients with gliomas. We aimed to assess grade and IDH mutation status in patients with untreated gliomas, by evaluating the respective value of <sup>18</sup>F-FET PET/CT via dynamic and texture analyses. A total of 73 patients (male: 48, median age: 47) who underwent an <sup>18</sup>F-FET PET/CT for initial glioma evaluation were retrospectively included. IDH status was available in 61 patients (20 patients with WHO grade 2 gliomas, 41 with grade 3–4 gliomas). Time–activity curve type and 20 parameters obtained from static analysis using LIFEx© v6.30 software were recorded. Respective performance was assessed using receiver operating characteristic curve analysis and stepwise multivariate regression analysis adjusted for patients’ age and sex. The time–activity curve type and texture parameters derived from the static parameters showed satisfactory-to-good performance in predicting glioma grade and IDH status. Both time–activity curve type (stepwise OR: 101.6 (95% CI: 5.76–1791), <i>p</i> = 0.002) and NGLDM coarseness (stepwise OR: 2.08 × 10<sup>43</sup> (95% CI: 2.76 × 10<sup>12</sup>–1.57 × 10<sup>74</sup>), <i>p</i> = 0.006) were independent predictors of glioma grade. No independent predictor of IDH status was found. Dynamic and texture analyses of <sup>18</sup>F-FET PET/CT have limited predictive value for IDH status when adjusted for confounding factors. However, they both help predict glioma grade. |
first_indexed | 2024-03-11T00:29:25Z |
format | Article |
id | doaj.art-6d93aaa289bd45288f10e3c9f76327d8 |
institution | Directory Open Access Journal |
issn | 2075-4418 |
language | English |
last_indexed | 2024-03-11T00:29:25Z |
publishDate | 2023-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Diagnostics |
spelling | doaj.art-6d93aaa289bd45288f10e3c9f76327d82023-11-18T22:47:44ZengMDPI AGDiagnostics2075-44182023-08-011315260410.3390/diagnostics13152604Prediction of Glioma Grade and IDH Status Using <sup>18</sup>F-FET PET/CT Dynamic and Multiparametric Texture AnalysisRami Hajri0Marie Nicod-Lalonde1Andreas F. Hottinger2John O. Prior3Vincent Dunet4Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, SwitzerlandDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, SwitzerlandDepartment of Neurology, Lausanne University Hospital, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, SwitzerlandDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, SwitzerlandDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, SwitzerlandMutations in isocitrate dehydrogenase (IDH) represent an independent predictor of better survival in patients with gliomas. We aimed to assess grade and IDH mutation status in patients with untreated gliomas, by evaluating the respective value of <sup>18</sup>F-FET PET/CT via dynamic and texture analyses. A total of 73 patients (male: 48, median age: 47) who underwent an <sup>18</sup>F-FET PET/CT for initial glioma evaluation were retrospectively included. IDH status was available in 61 patients (20 patients with WHO grade 2 gliomas, 41 with grade 3–4 gliomas). Time–activity curve type and 20 parameters obtained from static analysis using LIFEx© v6.30 software were recorded. Respective performance was assessed using receiver operating characteristic curve analysis and stepwise multivariate regression analysis adjusted for patients’ age and sex. The time–activity curve type and texture parameters derived from the static parameters showed satisfactory-to-good performance in predicting glioma grade and IDH status. Both time–activity curve type (stepwise OR: 101.6 (95% CI: 5.76–1791), <i>p</i> = 0.002) and NGLDM coarseness (stepwise OR: 2.08 × 10<sup>43</sup> (95% CI: 2.76 × 10<sup>12</sup>–1.57 × 10<sup>74</sup>), <i>p</i> = 0.006) were independent predictors of glioma grade. No independent predictor of IDH status was found. Dynamic and texture analyses of <sup>18</sup>F-FET PET/CT have limited predictive value for IDH status when adjusted for confounding factors. However, they both help predict glioma grade.https://www.mdpi.com/2075-4418/13/15/2604gliomas<sup>18</sup>F-FET PETradiomicsIDH mutational statustexture analysis |
spellingShingle | Rami Hajri Marie Nicod-Lalonde Andreas F. Hottinger John O. Prior Vincent Dunet Prediction of Glioma Grade and IDH Status Using <sup>18</sup>F-FET PET/CT Dynamic and Multiparametric Texture Analysis Diagnostics gliomas <sup>18</sup>F-FET PET radiomics IDH mutational status texture analysis |
title | Prediction of Glioma Grade and IDH Status Using <sup>18</sup>F-FET PET/CT Dynamic and Multiparametric Texture Analysis |
title_full | Prediction of Glioma Grade and IDH Status Using <sup>18</sup>F-FET PET/CT Dynamic and Multiparametric Texture Analysis |
title_fullStr | Prediction of Glioma Grade and IDH Status Using <sup>18</sup>F-FET PET/CT Dynamic and Multiparametric Texture Analysis |
title_full_unstemmed | Prediction of Glioma Grade and IDH Status Using <sup>18</sup>F-FET PET/CT Dynamic and Multiparametric Texture Analysis |
title_short | Prediction of Glioma Grade and IDH Status Using <sup>18</sup>F-FET PET/CT Dynamic and Multiparametric Texture Analysis |
title_sort | prediction of glioma grade and idh status using sup 18 sup f fet pet ct dynamic and multiparametric texture analysis |
topic | gliomas <sup>18</sup>F-FET PET radiomics IDH mutational status texture analysis |
url | https://www.mdpi.com/2075-4418/13/15/2604 |
work_keys_str_mv | AT ramihajri predictionofgliomagradeandidhstatususingsup18supffetpetctdynamicandmultiparametrictextureanalysis AT marienicodlalonde predictionofgliomagradeandidhstatususingsup18supffetpetctdynamicandmultiparametrictextureanalysis AT andreasfhottinger predictionofgliomagradeandidhstatususingsup18supffetpetctdynamicandmultiparametrictextureanalysis AT johnoprior predictionofgliomagradeandidhstatususingsup18supffetpetctdynamicandmultiparametrictextureanalysis AT vincentdunet predictionofgliomagradeandidhstatususingsup18supffetpetctdynamicandmultiparametrictextureanalysis |