Commentary on “The epileptogenic zone in children with tuberous sclerosis complex is characterized by prominent features of focal cortical dysplasia”

作者
Michael Wong
出处
期刊:Epilepsia open [Wiley]
卷期号:7 (2): 225-226
标识
DOI:10.1002/epi4.12598
摘要

Drug-resistant epilepsy remains one of the most challenging and impairing problems facing epilepsy patients. In the large population of patients with drug-resistant epilepsy, nonmedical treatments, especially epilepsy surgery, may offer the best hope for a significant improvement in seizures and ideally seizure-freedom. However, the diagnostic evaluation for epilepsy surgery is typically complex, with many patients either being concluded not to be appropriate surgery candidates or having suboptimal outcomes following surgery. Thus, significant advances in the presurgical evaluation and approach are needed to increase the yield of identifying the epileptogenic zone (EZ) and improving epilepsy surgery outcomes. In a recent paper awarded the 2022 Epilepsia Open Clinical Science Prize,1 Hulshof et al address this issue of the presurgical diagnostic assessment in a specific cause of epilepsy, tuberous sclerosis complex (TSC), that involves some of the most complicated cases to evaluate for epilepsy surgery. TSC is a genetic disorder, caused by mutations in either the TSC1 or TSC2 genes with resultant mechanistic target of rapamycin (mTOR) pathway activation and characterized by the formation of tumors or other dysplastic lesions in multiple organs, including the brain.2, 3 Neurological involvement usually accounts for the most disabling symptoms of the disease, especially in children, with up to 90% of TSC patients having epilepsy and about two-thirds of those having drug-resistant epilepsy.4 Epilepsy surgery evaluation in TSC is complicated due to the typical presence of multiple, bilateral focal lesions (eg, cortical tubers) that may all be candidates for the EZ, as well as multiple seizure types and multifocal EEG epileptiform abnormalities in many cases. While invasive EEG methods, such as stereo-EEG, may help localize seizure onset to one or a subset of tubers, there have been extensive efforts attempting to utilize and optimize noninvasive imaging methods to identify the EZ in TSC patients. The primary radiographic and pathological findings of TSC potentially related to epilepsy are cortical/subcortical tubers. Pathologically, cortical tubers represent focal malformations of cortical development and are basically indistinguishable from focal cortical dysplasia type IIB, consisting of loss of normal cortical lamination and a variety of abnormal dysmorphic and cytomegalic cells, including classic “giant cells.” Radiographically on MRI, cortical tubers primarily not only appear as focal areas of increased T2 signal in the cortex and underlying subcortical white matter, but also have additional features often also seen in isolated focal cortical dysplasia (FCD), such as increased cortical thickness, blurring of the gray-white matter junction, and transmantle sign. Previous studies have identified specific radiographic properties of tubers as potential markers of the EZ, such as calcifications, cyst-like changes, or additional FCD-like features,5-7 but no one feature has been shown to consistently localize the EZ. The study by Hulshof et al aimed to determine whether various radiographic features, either alone or in combination, reliably predict the EZ. In a retrospective cohort of 28 TSC patients who received resective epilepsy surgery at two European epilepsy centers between 2003 and 2015, two neuroradiologists independently reviewed presurgical MRIs for a preestablished set of TSC-associated dysplastic features, including tubers, cyst-like lesions, calcifications, and FCD-like features, such as increased cortical thickness, blurring of the gray-white matter junction, and transmantle sign. Their blinded assessments of these various radiographic features were then correlated with the EZ, defined as the area of surgical resection in patients who were seizure-free two years after surgery, and the accuracy and positive predictive value of each radiographic feature, alone or in combination, were calculated. The main findings from this study are that while several radiographic features were strongly correlated with the EZ (eg, found in ~90% of EZ), the positive predictive value of individual features was moderate and again no one feature identified the EZ in all seizure-free cases (15 of 28 patients, or 53% of the cohort). However, after applying an algorithm analyzing multiple features simultaneously, the EZ could be accurately identified in the majority of patients, with increased cortical thickness, transmantle sign, and calcifications, as well as the largest FCD, being the most predictive radiographic features. This work confirms previous studies in identifying specific radiographic features that are strongly correlated with the EZ in TSC patients,5, 7 and is novel in assessing and concluding that specific combinations of features increase their predictive value. This approach is potentially impactful if these noninvasive radiographic assessments can reduce the need for invasive EEG monitoring and improve surgical outcomes. The study does have some significant limitations. The retrospective design and relatively small cohort size may have led to biases in patient selection and statistical power. Perhaps more importantly, the criteria and predictive value of multiple factors in combination for identifying the EZ showed some differences between the two independent neuroradiologists, suggesting that there may be individual variability in radiologist interpretations, as well as in MRI protocols, that may limit the widespread utilization of this approach across different centers. Nevertheless, even if this specific combinatorial approach is not ultimately adopted universally, the study does provide evidence that algorithms analyzing multiple factors are more powerful than individual results alone. Other analytical approaches and algorithms utilizing more comprehensive, multifactorial assessments should lead to further improvements in presurgical evaluations and epilepsy surgery outcomes not only just for TSC but also for many types of drug-resistant epilepsy. Read the winning paper The epileptogenic zone in children with tuberous sclerosis complex is characterized by prominent features of focal cortical dysplasia. The author has no conflicts of interest to disclose. The author has read the Journal's position on issues involved in ethical publication and affirms that this report is consistent with those guidelines.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
淏瀚发布了新的文献求助30
2秒前
靓丽的芯完成签到,获得积分10
2秒前
lhw应助高兴的半山采纳,获得10
2秒前
牧沛凝发布了新的文献求助10
3秒前
陈巧玲完成签到,获得积分10
3秒前
3D完成签到 ,获得积分10
3秒前
orixero应助大狒狒采纳,获得10
4秒前
尉迟三颜完成签到,获得积分10
4秒前
4秒前
5秒前
单薄的誉完成签到,获得积分10
5秒前
七听发布了新的文献求助80
5秒前
8秒前
dew应助像风又像云采纳,获得100
8秒前
Hello应助像风又像云采纳,获得10
8秒前
Gtingting发布了新的文献求助10
8秒前
9秒前
11秒前
研友_VZG7GZ应助刘辉采纳,获得10
11秒前
DR.秋发布了新的文献求助10
11秒前
11秒前
谷云发布了新的文献求助10
12秒前
cdercder应助Cjl10610采纳,获得10
12秒前
情怀应助像风又像云采纳,获得30
14秒前
14秒前
橘落完成签到,获得积分10
14秒前
cat应助像风又像云采纳,获得10
14秒前
核桃应助像风又像云采纳,获得30
14秒前
Nole应助像风又像云采纳,获得10
15秒前
木心宇应助像风又像云采纳,获得10
15秒前
15秒前
华仔应助像风又像云采纳,获得10
15秒前
木心宇应助像风又像云采纳,获得10
15秒前
大气世平发布了新的文献求助10
16秒前
从容聪展发布了新的文献求助10
16秒前
elf发布了新的文献求助10
16秒前
ZICEY发布了新的文献求助10
17秒前
科研通AI6.4应助淏瀚采纳,获得10
18秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7631476
求助须知:如何正确求助?哪些是违规求助? 9205953
关于积分的说明 19743091
捐赠科研通 7200762
什么是DOI,文献DOI怎么找? 3274614
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271207