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首页> 外文期刊>Epilepsia: Journal of the International League against Epilepsy >Unveiling epileptogenic lesions: the contribution of image processing.
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Unveiling epileptogenic lesions: the contribution of image processing.

机译:揭露癫痫病灶:图像处理的贡献。

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摘要

Magnetic resonance imaging (MRI) is a pivotal component in the investigation of patients with any form of epilepsy because of its unmatched ability in visualizing structural brain pathology. The MRI signature of newly diagnosed epilepsy is not yet fully defined, mainly because of the lack of a cohesive methodology to evaluate structural changes in the early stages of the disease. By revealing subtle lesions that previously eluded visual inspection in patients with drug-resistant epilepsy, quantitative computer-assisted image analysis has clearly demonstrated increased sensitivity and diagnostic accuracy compared to conventional techniques. Therefore, the application of image processing methods in patients with newly diagnosed epilepsy promises to reduce the trial-error period in potential surgical candidates, provide solid biomarkers for monitoring the disease and identifying treatment responders. A clearer understanding of brain pathology at the early stages of the disorder will help clinicians to develop better criteria for identifying patients who are at risk of secondary brain damage and for timely intervention that achieves seizure control.
机译:磁共振成像(MRI)是任何形式的癫痫患者研究中的重要组成部分,因为它在可视化脑结构病理学方面无与伦比的能力。新诊断的癫痫的MRI信号尚未完全定义,主要是因为缺乏用于评估疾病早期阶段结构变化的内聚性方法。通过揭示先前在耐药性癫痫患者中无法进行目视检查的细微病变,定量计算机辅助图像分析已清楚证明与传统技术相比具有更高的灵敏度和诊断准确性。因此,在新诊断的癫痫患者中应用图像处理方法有望减少潜在手术候选者的试验错误期,为监测疾病和确定治疗反应者提供可靠的生物标记。在疾病的早期阶段对脑病理学有了更清晰的了解,将有助于临床医生制定更好的标准,以识别有继发性脑损伤风险的患者,并及时采取干预措施以控制癫痫发作。

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