Epileptogenic Zone Localization With 18FDG PET Using a New Dynamic Parametric Analysis

被引:8
|
作者
Mayoral, Maria [1 ]
Ninerola-Baizan, Aida [2 ,3 ]
Marti-Fuster, Berta [2 ,3 ]
Donaire, Antonio [4 ,5 ]
Perissinotti, Andres [1 ]
Rumia, Jordi [6 ]
Bargallo, Nuria [5 ,7 ]
Sala-Llonch, Roser [3 ]
Pavia, Javier [1 ,2 ,5 ]
Ros, Domenec [2 ,3 ,5 ]
Carreno, Mar [4 ,5 ]
Pons, Francesca [1 ,5 ]
Setoain, Xavier [1 ,2 ,5 ]
机构
[1] Hosp Clin Barcelona, Nucl Med Dept, Barcelona, Spain
[2] Biomed Res Networking Ctr Bioengn Biomat & Nanome, Biomed Imaging Grp, Barcelona, Spain
[3] Univ Barcelona, Sch Med, Biomed Dept, Biophys & Bioengn Unit, Barcelona, Spain
[4] Hosp Clin Barcelona, Neurol Dept, Barcelona, Spain
[5] August Pi I Sunyer Biomed Res Inst IDIBAPS, Barcelona, Spain
[6] Hosp Clin Barcelona, Neurosurg Dept, Barcelona, Spain
[7] Hosp Clin Barcelona, Radiol Dept, Barcelona, Spain
来源
FRONTIERS IN NEUROLOGY | 2019年 / 10卷
关键词
epilepsy; functional neuroimaging; PET; SPM; parametric analysis; dynamic analysis; TEMPORAL-LOBE EPILEPSY; F-18-FDG PET; FDG-PET; COREGISTRATION; PET/MRI; SPECT;
D O I
10.3389/fneur.2019.00380
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction: [F-18]fluorodeoxyglucose (F-18-FDG) positron emission tomography (PET) is part of the regular preoperative work-up in medically refractory epilepsy. As a complement to visual evaluation of PET, statistical parametric maps can help in the detection of the epileptogenic zone (EZ). However, software packages currently available are time-consuming and little intuitive for physicians. We develop a user-friendly software (referred as PET-analysis) for EZ localization in PET studies that allows dynamic real-time statistical parametric analysis. To evaluate its performance, the outcome of PET-analysis was compared with the results obtained by visual assessment and Statistical Parametric Mapping (SPM). Methods: Thirty patients with medically refractory epilepsy who underwent presurgical F-18-FDG PET with good post-operative outcomes were included. The F-18-FDG PET studies were evaluated by visual assessment, with SPM8 and PET-analysis. In SPM, parametric T-maps were thresholded at corrected p < 0.05 and cluster size k = 50 and at uncorrected p < 0.001 and k = 100 (the most used parameters in the literature). Since PET-analysis rapidly processes different threshold combinations, T-maps were thresholded with multiple p-value and different clusters sizes. The presurgical EZ identified by visual assessment, SPM and PET-analysis was compared to the confirmed EZ according to post-surgical follow-up. Results: PET-analysis obtained 66.7% (20/30) of correctly localizing studies, comparable to the 70.0% (21/30) achieved by visual assessment and significantly higher (p < 0.05) than that obtained with the SPM threshold p < 0.001/k = 100, of 36.7% (11/30). Only one study was positive, albeit non-localizing, with the SPM threshold corrected p < 0.05/k = 50. Concordance was substantial for PET-analysis (kappa = 0.643) and visual interpretation (kappa = 0.622), being fair for SPM (kappa = 0.242). Conclusion: Compared to SPM with the fixed standard parameters, PET-analysis may be superior in EZ localization with its easy and rapid processing of different threshold combinations. The results of this initial proof-of-concept study validate the clinical use of PET-analysis as a robust objective complementary tool to visual assessment for EZ localization.
引用
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页数:9
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