正电子发射断层摄影术
医学
统计参数映射
丘脑
核医学
小脑
内科学
放射科
磁共振成像
作者
Antoine Verger,Tatiana Witjas,Romain Carron,Alexandre Eusébio,Emmanuelle Boutin,Jean‐Philippe Azulay,Jean Régis,Éric Guedj
出处
期刊:Neurosurgery
[Oxford University Press]
日期:2018-06-27
卷期号:84 (6): E294-E303
被引量:14
标识
DOI:10.1093/neuros/nyy340
摘要
Abstract BACKGROUND To understand the substrates of response and nonresponse and to identify potential biomarkers for the selection and follow-up of patients with essential tremor (ET) treated with Gamma Knife (Elekta AB, Stockholm, Sweden) of the ventral intermediate nucleus (GKVIM). OBJECTIVE To characterize positron emission tomography (PET) changes in the metabolism of glucose and metabolic connectivity in patients with ET treated by GKVIM through observational study. METHODS Forty-two patients with right ET were referred to 18 F-fluorodesoxyglucose positron emission tomography ( 18 F-FDG PET) imaging before and after left GKVIM. Statistical Parametric Mapping T-score map comparisons were performed between pre- and post-GKVIM groups and between clinical responders and nonresponders. Metabolic connectivity was evaluated by the interregional correlation analysis method. RESULTS After GKVIM, patients with ET exhibited decreased left thalamic metabolism, which was associated with remote metabolic decreases in the right cerebellum, left temporal gyri, and bilateral frontal gyri ( P < .05, family-wise error-corrected). Additionally, nonresponders (n = 7) showed metabolic decreases in the right temporo-occipital area ( P < .005 corrected for cluster volume) after GKVIM. The metabolism in this area was already reduced in nonresponders before treatment in comparison to that in responders and was predictive of future response (sensitivity: 89%; specificity: 71%). In nonresponder patients, strong connectivity between the left thalamus and right temporo-occipital area was found before GKVIM and was lost after treatment, whereas this connectivity remained weak and stable in responders. CONCLUSION These findings could lead to better knowledge of the variability in the metabolic PET profiles among patients with ET, particularly the integration of 18 F-FDG PET imaging in the pretherapeutic evaluation of patients with refractory ET candidates for GKVIM.
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