Luo Juan, Chen Xin, Yu Sixun, Shu Haifeng
Department of Neurosurgery, Affiliated Hospital of Southwest Medical University, Luzhou Sichuan, 646000, China.
Department of Neurosurgery, General Hospital of the Western Theater Command of the PLA, Chengdu Sichuan, 610083, China.
Acta Epileptol. 2024 May 15;6(1):14. doi: 10.1186/s42494-024-00161-8.
Cerebral sparganosis represents the most severe manifestation of sparganosis, with a relatively low global incidence. For cases of secondary epileptic seizures caused by sparganosis infection in the functional areas of the brain, what advanced neurosurgical techniques should be employed to precisely identify and excise the epileptic lesions in the deep functional areas of the brain, aiming to achieve maximal removal while minimising the risk of neurological deficits? This remains a current challenge for epilepsy surgeons.
A 24-year-old Chinese male was admitted to our hospital, presenting with a history of left limb twitching persisting for over a year. His main clinical symptoms presented twitching and numbness of his left limb without loss of consciousness. Under the premise of inappropriate anti-seizure treatment, recurrent epilepsy attacked persist. The patient's diagnosis was considered as "space-occupying lesions in the several lobes of brain, secondary epilepsy" after comprehensive assessment and discussion. And experts considered that the patient's space-occupying lesions in the right frontal and parietal lobes were highly suspected to be infected by parasites. This report delved into the application of neurosurgery robot-assisted frameless stereotaxic technology and intraoperative stereotactic electroencephalography (SEEG) monitoring technology to accurately locate and optimize removal of parasite-related epileptic lesions situated in functional areas of the brain. As a result, the patient had achieved seizure freedom, leaving no symptoms of neurological deficit.
With the highly integrated development of imaging technology, mechanical technology, computer control technology, and artificial intelligence, surgical robots are poised to play a larger role across various neurosurgical specialties in the future. Considering benefits for patients and the promising application of this technology, its utilization holds significant value.
脑裂头蚴病是裂头蚴病最严重的表现形式，全球发病率相对较低。对于脑功能区裂头蚴感染引起的继发性癫痫发作病例，应采用何种先进的神经外科技术来精确识别和切除脑深部功能区的癫痫病灶，以实现最大程度的切除并将神经功能缺损风险降至最低？这仍然是癫痫外科医生当前面临的挑战。
一名24岁中国男性入住我院，有左肢抽搐病史，持续一年多。其主要临床症状为左肢抽搐和麻木，无意识丧失。在抗癫痫治疗不当的前提下，癫痫反复发作。综合评估和讨论后，患者被诊断为“脑多个叶占位性病变，继发性癫痫”。专家认为，患者右额叶和顶叶的占位性病变高度怀疑为寄生虫感染。本报告深入探讨了神经外科机器人辅助无框架立体定向技术和术中立体定向脑电图（SEEG）监测技术在精确定位和优化切除位于脑功能区的寄生虫相关癫痫病灶中的应用。结果，患者癫痫发作得到控制，无神经功能缺损症状。
随着成像技术、机械技术、计算机控制技术和人工智能的高度融合发展，手术机器人未来有望在各个神经外科专业中发挥更大作用。考虑到对患者的益处以及该技术的广阔应用前景，其应用具有重要价值。
