Predictors of Postoperative Seizure Outcome in Low Grade Glioma: From Volumetric Analysis to Molecular Stratification

The importance of the extent of resection (EOR) has been widely demonstrated as the main predictor for survival, nevertheless its effect on tumor related epilepsy is less investigated. A total of 155 patients were enrolled after a first-line surgery for supratentorial Diffuse Low Grade Gliomas (DLGG...

Full description

Bibliographic Details
Main Authors: Tamara Ius, Giada Pauletto, Barbara Tomasino, Marta Maieron, Riccardo Budai, Miriam Isola, Daniela Cesselli, Christian Lettieri, Miran Skrap
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/2/397
id doaj-b7bb20fc708e4d7f9178e46cd11d0a96
record_format Article
spelling doaj-b7bb20fc708e4d7f9178e46cd11d0a962020-11-25T02:33:37ZengMDPI AGCancers2072-66942020-02-0112239710.3390/cancers12020397cancers12020397Predictors of Postoperative Seizure Outcome in Low Grade Glioma: From Volumetric Analysis to Molecular StratificationTamara Ius0Giada Pauletto1Barbara Tomasino2Marta Maieron3Riccardo Budai4Miriam Isola5Daniela Cesselli6Christian Lettieri7Miran Skrap8Neurosurgery Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, 33100 Udine, ItalyNeurology Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, 33100 Udine, ItalyScientific Institute, IRCCS E. Medea, San Vito al Tagliamento, 33078 Pordenone, ItalyMedical Physics, Santa Maria della Misericordia University Hospital, 33100 Udine, ItalyNeurology Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, 33100 Udine, ItalyDepartment of Medicine, Santa Maria della Misericordia University Hospital, 33100 Udine, ItalyInstitute of Pathology, Santa Maria della Misericordia University Hospital, 33100 Udine Post, ItalyNeurology Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, 33100 Udine, ItalyNeurosurgery Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, 33100 Udine, ItalyThe importance of the extent of resection (EOR) has been widely demonstrated as the main predictor for survival, nevertheless its effect on tumor related epilepsy is less investigated. A total of 155 patients were enrolled after a first-line surgery for supratentorial Diffuse Low Grade Gliomas (DLGGs). Postoperative seizure outcome was analyzed stratifying the results by tumor volumetric data and molecular markers according to 2016 WHO classification. Receiver operating characteristic (ROC) curves were computed to asses EOR, residual tumor volume, and &#916;T2T1 MRI index (expressing the tumor growing pattern) corresponding to optimal seizure outcome. A total of 70.97% of patients were seizure-free 18 months after surgery. Better seizure outcome was observed in IDH1/2 mutated and 1p/19q codeleted subgroup. At multivariate analysis, age (<i>p</i> = 0.014), EOR (<i>p</i> = 0.030), &#916;T2T1 MRI index (<i>p</i> = 0.016) resulted as independent predictors of postoperative seizure control. Optimal parameters to improve postoperative seizure outcome were EOR &#8805; 85%, &#916;T2T1 MRI index &#8804; 18 cm<sup>3</sup>, residual tumor volume &#8804; 15 cm<sup>3</sup>. This study confirms the role of EOR and tumor growing pattern on postoperative seizure outcome independently from the molecular class. Higher &#916;T2T1 MRI index, representing the infiltrative component of the tumor, is associated with worse seizure outcome and strengthens the evidence of common pathogenic mechanisms underlying tumor growth and postoperative seizure outcome.https://www.mdpi.com/2072-6694/12/2/397low grade gliomaseizure outcomemolecular markersextent of resectiontumor growth patternroc curves
collection DOAJ
language English
format Article
sources DOAJ
author Tamara Ius
Giada Pauletto
Barbara Tomasino
Marta Maieron
Riccardo Budai
Miriam Isola
Daniela Cesselli
Christian Lettieri
Miran Skrap
spellingShingle Tamara Ius
Giada Pauletto
Barbara Tomasino
Marta Maieron
Riccardo Budai
Miriam Isola
Daniela Cesselli
Christian Lettieri
Miran Skrap
Predictors of Postoperative Seizure Outcome in Low Grade Glioma: From Volumetric Analysis to Molecular Stratification
Cancers
low grade glioma
seizure outcome
molecular markers
extent of resection
tumor growth pattern
roc curves
author_facet Tamara Ius
Giada Pauletto
Barbara Tomasino
Marta Maieron
Riccardo Budai
Miriam Isola
Daniela Cesselli
Christian Lettieri
Miran Skrap
author_sort Tamara Ius
title Predictors of Postoperative Seizure Outcome in Low Grade Glioma: From Volumetric Analysis to Molecular Stratification
title_short Predictors of Postoperative Seizure Outcome in Low Grade Glioma: From Volumetric Analysis to Molecular Stratification
title_full Predictors of Postoperative Seizure Outcome in Low Grade Glioma: From Volumetric Analysis to Molecular Stratification
title_fullStr Predictors of Postoperative Seizure Outcome in Low Grade Glioma: From Volumetric Analysis to Molecular Stratification
title_full_unstemmed Predictors of Postoperative Seizure Outcome in Low Grade Glioma: From Volumetric Analysis to Molecular Stratification
title_sort predictors of postoperative seizure outcome in low grade glioma: from volumetric analysis to molecular stratification
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2020-02-01
description The importance of the extent of resection (EOR) has been widely demonstrated as the main predictor for survival, nevertheless its effect on tumor related epilepsy is less investigated. A total of 155 patients were enrolled after a first-line surgery for supratentorial Diffuse Low Grade Gliomas (DLGGs). Postoperative seizure outcome was analyzed stratifying the results by tumor volumetric data and molecular markers according to 2016 WHO classification. Receiver operating characteristic (ROC) curves were computed to asses EOR, residual tumor volume, and &#916;T2T1 MRI index (expressing the tumor growing pattern) corresponding to optimal seizure outcome. A total of 70.97% of patients were seizure-free 18 months after surgery. Better seizure outcome was observed in IDH1/2 mutated and 1p/19q codeleted subgroup. At multivariate analysis, age (<i>p</i> = 0.014), EOR (<i>p</i> = 0.030), &#916;T2T1 MRI index (<i>p</i> = 0.016) resulted as independent predictors of postoperative seizure control. Optimal parameters to improve postoperative seizure outcome were EOR &#8805; 85%, &#916;T2T1 MRI index &#8804; 18 cm<sup>3</sup>, residual tumor volume &#8804; 15 cm<sup>3</sup>. This study confirms the role of EOR and tumor growing pattern on postoperative seizure outcome independently from the molecular class. Higher &#916;T2T1 MRI index, representing the infiltrative component of the tumor, is associated with worse seizure outcome and strengthens the evidence of common pathogenic mechanisms underlying tumor growth and postoperative seizure outcome.
topic low grade glioma
seizure outcome
molecular markers
extent of resection
tumor growth pattern
roc curves
url https://www.mdpi.com/2072-6694/12/2/397
work_keys_str_mv AT tamaraius predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
AT giadapauletto predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
AT barbaratomasino predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
AT martamaieron predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
AT riccardobudai predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
AT miriamisola predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
AT danielacesselli predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
AT christianlettieri predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
AT miranskrap predictorsofpostoperativeseizureoutcomeinlowgradegliomafromvolumetricanalysistomolecularstratification
_version_ 1724812645792481280