Efficacy and safety of a new robot‑assisted stereotactic system for radiofrequency thermocoagulation in patients with temporal lobe epilepsy

  • Authors:
    • Zhaohui Wu
    • Quanjun Zhao
    • Zengmin Tian
    • Jianning Zhang
    • Xia Xiao
    • Hong Lin
    • Hong Wang
    • Fuli Wang
  • View Affiliations

  • Published online on: March 12, 2014     https://doi.org/10.3892/etm.2014.1620
  • Pages: 1728-1732
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

The aim of the present study was to evaluate the efficacy and safety of a newly developed robot‑assisted frameless stereotactic system for deep electrode implantation and radiofrequency thermocoagulation (RFTC). Deep‑electrode implantation was performed in the bilateral mesial temporal lobes of seven patients. Following the implantation of the deep electrodes through the monitored designed path, the epileptogenic zones were determined with the assistance of a robot system. Deep electrode electroencephalograms were recorded prior to and following RFTC. Treatment outcomes were evaluated by computed tomography scans and Engel classification criteria. The procedure was well tolerated by all patients with no patients suffered from severe permanent complications. After follow‑ups for 34‑62 months, four patients achieved Engel class I, including three patients with Ia classification, two patients were classified as Engel class IVa and one patient was classified as Engel class IVc. Therefore, robot‑assisted frameless stereotaxy for deep electrode implantation and RFTC is indicated to be a safe and effective method that may be used effectively in clinical practice.

Introduction

Invasive presurgical electroencephalogram (EEG) recordings of seizures are required to define the optimal cortical resection in patients with intractable epilepsy (1,2). Alternative neurosurgical approaches that are minimally invasive have been sought for a number of years. Recent advances in computed tomography (CT) technology have enabled physicians to safely and accurately manipulate a needle under CT fluoroscopy (3,4). Radiofrequency thermocoagulation (RFTC), under the guidance of a robot, is considered to be a safe and minimally invasive technique that may be used to treat intractable epilepsy (5,6). The methodology of deep electrode implantation was first developed by Bancaud and Talairach (7); however, the RF was not efficient in thermocoagulating the epileptic foci (8,9). The deep electrodes are fundamental to this method, as they are stereotactically implanted in the brain to identify the exact locations of the epileptogenic zones (EZs) and the pathways of seizure propagation (9). An advantage of this method is that it is possible to define epileptogenic zones (EZs) without performing a craniotomy. The deep electrodes in the mesial temporal lobe record the discharges in the hippocampus and the deep electrodes in the white matter of the frontal lobe record the discharges in the gray matter of the frontal lobe.

The robot CAS-R-2 frameless stereotactic system is a medical robot system recently developed by the Robotics Institute of Beijing University of Aeronautics & Astronautics and the Navy General Hospital (Beijing, China). The system provides accurate RF treatment of the cranium and assists in deep electrode implantation. In the present study, the efficacy and safety of this robot-assisted system was evaluated by implanting deep electrodes in the bilateral mesial temporal lobe through the frontal lobe. EZs were located in patients with temporal epilepsy and deep EEG-guided RFTC treatment was conducted, with control of the temperature and time. CT scans were used to determine whether RFTC was performed effectively and Engel classifications were assigned for evaluation.

Patients and methods

Patients

The study was approved and registered by the Ethics Committee of the Navy General Hospital of People’s Liberation Army in February 2008. The Ethics Committee approved associated treatment, data collection and patient follow-ups. All patients provided written informed consent and all procedures were conducted following the provisions of the Declaration of Helsinki.

A total of seven patients were selected successfully following screening (female, 4; male, 3; age, 29.6±11.1 years; age range, 16–45 years). The patients were selected according to the following inclusion criteria: i) aged ≥15 years-old; ii) experienced simple and/or complex partial seizures with or without secondary generalization; iii) experienced ≥3 complex partial seizures during the 3-month (12-week) baseline seizure diary period, with ≥1 seizure occurring within the last 2 months. and iv) electrographic evidence of seizures arising from one temporal lobe, with radiographic evidence of mesial temporal sclerosis in the same temporal lobe. Patients with normal magnetic resonance imaging scans, bilateral hippocampal damage or cortical lesions were excluded.

Since the data obtained from noninvasive presurgical investigations were not congruent for sufficiently localizing the EZs, intracerebral recordings of seizures, including video-deep EEG and positron emission tomography/CT, were performed prior to surgery. The necessary laboratory examinations were also performed, including blood cell count, blood specimen collection, alanineaminotransferase, aspartateaminotransferase, creatinine, ureanitrogen, partial thromboplastin time, prothrombin time, fibrinogen, ABO blood-group, blood grouping and crossmatching, HIV antibodies, hepatitis C antibodies and hepatitis B surface antigens.

Implantation procedure

Two recording deep electrodes (SD06R-SP10X-000, Ad-Tech Medical Instrument Corp, Racine, WI, USA), were implanted using the robot CAS-R-2 frameless stereotactic system. Following the placement of four markers on the foreheads of the patients, MRI scans at 3 mm intervals were collected. MRI scans of the head were three-dimensionally reconstructed with a computer. Next, the placement targets of the deep electrodes were marked in the workstation. The deep electrodes were implanted through the monitored designed path (transfrontal) and avoided the important blood vessels and functional area. An assistant collaboratively calibrated the mechanical arm to a zero position. Following the registration of placement targets in the workstation, the mechanical arm was calibrated, locked in position and the direction and cranial point of craniotomy was determined.

Following the administration of 2 ml lidocaine (2%) for anesthesia, patients were placed in a supine position for surgery. The heads of the patients were immobilized with a molding pillow. Percutaneous sphenotresia was performed following the removal of the puncture needle to facilitate the implantation of the deep electrodes (Fig. 1). Once the electrodes had been confirmed to function normally, the wound was sutured and covered by a sterile dressing. Postoperative cranial CT scans were performed to confirm that the electrodes were positioned accurately. Patients with no intracranial bleeding complications were transferred to the EEG monitoring room.

Monitoring procedure

The duration of deep electrode EEG monitoring ranged between 6 h and 7 days. At least one clinical seizure was recorded in each patient from which the EZs were determined. Fig. 2 shows a deep electrode EEG recording of a seizure in the left medial temporal lobe. If the patients had no natural seizures during the first 24 h of monitoring, 150 mg bemegride was injected intravenously at 25 mg/min. The injection was stopped immediately when the patient underwent seizure aura. Fig. 3 shows a deep electrode EEG recording following the injection of bemegride. Phenobarbital (100–150 mg) was injected immediately into patients experiencing a seizure to prevent status epilepticus.

Robot-assisted RFTC procedure

General anesthesia was administered intravenously prior to surgery. Ventilation was controlled with an anesthesia machine and muscle relaxant was provided if necessary. Deep brain resistance measurements and 0–6 V electrical stimulation (2 Hz) were performed prior to RF. During this process, close attention was paid to whether the patient experienced limb movement, and the position of the nucleus of epileptic was confirmed. RF radiation was targeted to the amygdala firstly and the actual EZs were evaluated by intraoperative EEG. The selection of targets was determined from video-deep EEG recordings regarding the localization of the onset zone. Radiation was stopped once interictal paroxysmal activities disappeared.

An RF generator system (Radionics Medical, HXKN Ltd., China) was used to conduct RFTC in 2 or 3 mm intervals at 75°C for 120 sec. Once the epileptiform discharges disappeared from the deep electrode EEG recordings, surgery was stopped. Following compensation, if the epileptiform discharges remained, RFTC was performed in the ipsilateral or contralateral amygdala hippocampus. Deep EEG recordings were performed for ≥5 min prior to and following the RFTC procedure. Surgery was terminated once the frequency of the spike or sharp waves on the deep EEG recordings was <75% of those recorded prior to robot-assisted RFTC.

Surgery was stopped immediately following a seizure to prevent damage due to fracturing of the intracranial needles.

Postoperative treatment and follow-up

Antiepileptic drug treatment was not changed for 6 months following RFTC, but was modified at the 6 month follow-up if required. The frequency of seizures and the possible adverse effects of the RFTC procedure were recorded during the follow-up period. During the follow-ups, patient complaints with regard to memory, attention and language were recorded. Routine tests were performed as part of the neurological evaluation and Engel classifications (1993) (10) were assigned for neurological function evaluation.

Results

Patients

The numbers of EZs treated, their locations and the seizure frequencies prior to and following RFTC are listed in Table I. The average disease course was 14 years (range, 2–40 years). Five patients experienced no pre-attack symptoms, one patient had fear as a seizure precursor and one patient’s seizures were preceded by a feeling of discomfort in the chest.

Table I

Treatment outcomes of seven patients who received robot-assisted RFTC.

Table I

Treatment outcomes of seven patients who received robot-assisted RFTC.

CoagulationsRFTC targetsFollow-up time, monthsSeizure frequency prior to RFTC, per monthSeizure frequency after RFTC, per month
4R/7LBilateral hippocampus62101
8LLeft amygdala and hippocampus6244.5
6LLeft hippocampus43100
8LLeft amygdala and hippocampus3860
5R/5LBilateral hippocampus38105
6LLeft hippocampus3520
6R/7LBilateral hippocampus342.51

[i] nR, number of coagulations on the left; nR, number of coagulations on the right. RFTC, radiofrequency thermocoagulation.

Patients received CT scans following deep electrode implantation surgery. All the electrodes were implanted properly to the designed locations. No permanent neurological or cognitive impairments occurred following these procedures. However, one patient had a mild subarachnoid hemorrhage (confirmed by CT scan), but following the correct treatment did not suffer from neurological function impairment. An average of 8.1±3.1 EZs (range, 6–13) were treated in one or more anatomical targets. The EZs were located in the unilateral or bilateral hippocampus and/or amygdala. The follow-up period ranged between 34 and 62 months, with a mean follow-up period of 44.6±12.2 months.

Deep EEG results

All seven patients had interictal epileptiform discharges in the bilateral mesial temporal lobe, as shown by the deep EEG recordings. The clinical seizure onset zone of one patient was the left frontal lobe, while for the other six patients it was the unilateral or bilateral mesial temporal lobe. Due to the shortened time between the brain electrical origin following bemegride injection and the induction of an epileptic seizure, positioning errors or difficulties may have occurred (data not shown).

Engel classification outcome

Following the last consultation, four patients were classified as Engel’s class I (three patients, Ia and one patient, Id), two patients were classified as Engel class IVa and one patient was classified as class IVc. Seizure frequency decreased by ≥50% in six patients and four patients were seizure-free. Postoperative CT scans indicated that the robot-assisted RFTC treatment was safe and effective (Table I). Fig. 4 compares the pre- and postoperative CT scans of a patient who received robot-assisted RFTC treatment.

Discussion

A deep electrode robot-assisted frameless system was first reported by Eljamel (11). Since then, a number of studies have been performed with the aim of further improving this system (1214). The main characteristics of deep electrode implantation are firstly that the electrodes are implanted by a stereotaxic method alone, instead of using strip or grid electrodes. In addition, epileptiform discharges are evaluated by space and time, and then the cortical origin, form of communication and the focal cortical areas involved are identified. In the present study, the deep electrodes were implanted with the assistance of a robot. CT scans showed that the implanted positions were consistent with the preoperative planning. This preformation shortened the surgery time, minimized pain and increased the precision. Furthermore, the procedure was acceptable for the majority of patients in the Navy General Hospital.

The CAS-R-2 robot-assisted frameless system was designed by the Robotics Institute of Beijing University of Aeronautics & Astronautics and the Navy General Hospital of People’s Liberation Army. The system, without RFTC, has been applied successfully in clinical practice for neural stem cell therapy and, consistent with the results of the present study, achieved satisfactory curative effects.

During the deep EEG recording process, the presence of electrodecremental events, high frequency activity, irregular sharp waves intermixed with slow activity, spike-wave activity and rhythmic ictal transformation at the seizure onset determined the onset zones of partial complex seizures (15). Park et al classified seizure onset patterns as rhythmic activity, attenuation, repetitive spikes or spike-wave complexes, and indicated that the common pattern of seizure onset was rhythmic activity and repetitive spikes (16). The authors classified focal or regional seizure onset based on the number of electrode contacts that were involved in the ictal EEG and found that temporal lobectomy lead to excellent outcomes for focal seizure onset. Assisted by the robot system, the onset zones in the unilateral or bilateral mesial temporal lobes were defined in all seven patients in the current study. The discharges of the frontal lobe were recorded by the electrodes in the white matter since the deep electrodes were implanted in the planned targets properly. During the complete robot-assisted RFTC process, complications were minor and no long-term side-effects were observed. Guénot et al (17) performed stereotactic EEGs for 100 cases, and in each case, 5–15 (average, 11) deep electrodes were implanted. Complications occurred in five cases with two patients suffering from a skin infection, two patients with electrode fracture and one patient who succumbed to an intracranial hematoma. These results demonstrate the safety of stereotactic EEG.

The application of stereo implantation in the present study mainly focused on distinguishing the different lobe of epilepsy in the frontal and temporal sides. The dorsolateral prefrontal approach was adopted in the current study. The appropriate angle of the deep electrode was adjusted and epileptiform discharges in the white matter of the frontal lobe were recorded by deep electrodes. Discharge in the white matter of the frontal lobes has auxiliary effects on determining the origin of epilepsy. If properly applied, deep electrode EEG has the clinical diagnostic value of a cortex electrode (18).

The RFTC procedure on unilateral or bilateral mesial temporal lobes was particularly favorable for patients whose epileptic onset zone was the mesial temporal lobe. In the present study, six of the seven patients benefited from RFTC with a reduction of ≥50% in seizure frequency. The results obtained compare favorably with those of other palliative therapeutic procedures, including vagus nerve stimulation, multiple subpial transaction, callosotomy or deep intracerebral stimulation (19). Reported Engel I classification rates were >70% (18,20), but the effect varies in patients with different indications (21,22). In the current study, robot-assisted RFTC was performed in patients with intractable epilepsy. Discharges existed in the frontal and temporal interictal epileptiforms and deep electrode EEG recordings showed that the medial temporal lobe was the seizure onset zone. Transfrontal RFTC was performed in the deep temporal lobe structure using the stereotactic system robot. The proportion of patients with an Engel classification of I was 57% (4/7). However, further studies are required to confirm these results.

In conclusion, the present study demonstrated that robot-assisted RFTC is effective for patients with intractable epilepsy; the key lies in the identification of the correct epileptic locations. The robot-assisted stereotactic system is capable of performing procedures with deep electrodes and RF and demonstrates a good example of the transformation of engineering technology to a medical application.

References

1 

DuanYu N, GuoJun Z, Liang Q, LiXin C, Tao Y and YongJie L: Surgery for perirolandic epilepsy: Epileptogenic cortex resection guided by chronic intracranial electroencephalography and electric cortical stimulation mapping. Clin Neurol Neurosurg. 112:110–117. 2010. View Article : Google Scholar

2 

Rosenow F and Lüders H: Presurgical evaluation of epilepsy. Brain. 124:1683–1700. 2001. View Article : Google Scholar : PubMed/NCBI

3 

Koizuka S, Saito S, Tobe M, Sekimoto K, Obata H and Koyama Y: Technical communication: percutaneous radiofrequency mandibular nerve rhizotomy guided by high-speed real-time computed tomography fluoroscopy. Anesth Analg. 111:763–767. 2010. View Article : Google Scholar

4 

Nakajima K, Koizuka S, Yanagisawa A and Saito S: Radiofrequency thermocoagulation of the thoracic nerve root guided by high-speed real-time computed tomography fluoroscopy. Anaesthesia. 67:675–676. 2012. View Article : Google Scholar : PubMed/NCBI

5 

Malikova H, Liscak R, Vojtech Z, et al: Stereotactic radiofrequency amygdalohippocampectomy: does reduction of entorhinal and perirhinal cortices influence good clinical seizure outcome? Epilepsia. 52:932–940. 2011. View Article : Google Scholar

6 

Allen SJ and Sidebotham DA: Seizures and shock after radiofrequency ablation for atrial fibrillation. J Cardiothorac Vasc Anesth. 24:716–718. 2010. View Article : Google Scholar : PubMed/NCBI

7 

Bancaud J and Talairach J: Methodology of stereo EEG exploration and surgical intervention in epilepsy. Rev Otoneuroophtalmol. 45:315–328. 1973.(In French).

8 

Guénot M, Isnard J, Ryvlin P, Fischer C, Mauguière F and Sindou M: SEEG-guided RF thermocoagulation of epileptic foci: feasibility, safety, and preliminary results. Epilepsia. 45:1368–1374. 2004.PubMed/NCBI

9 

Catenoix H, Mauguière F, Guénot M, et al: SEEG-guided thermocoagulations: a palliative treatment of nonoperable partial epilepsies. Neurology. 71:1719–1726. 2008. View Article : Google Scholar : PubMed/NCBI

10 

Engel J Jr: Clinical neurophysiology, neuroimaging, and the surgical treatment of epilepsy. Curr Opin Neurol Neurosurg. 6:240–249. 1993.PubMed/NCBI

11 

Eljamel MS: Robotic application in epilepsy surgery. Int J Med Robot. 2:233–237. 2006. View Article : Google Scholar

12 

Spire WJ, Jobst BC, Thadani VM, Williamson PD, Darcey TM and Roberts DW: Robotic image-guided depth electrode implantation in the evaluation of medically intractable epilepsy. Neurosurg Focus. 25:E192008. View Article : Google Scholar : PubMed/NCBI

13 

Centeno RS, Yacubian EM, Caboclo LO, Júnior HC and Cavalheiro S: Intracranial depth electrodes implantation in the era of image-guided surgery. Arq Neuropsiquiatr. 69:693–698. 2011. View Article : Google Scholar : PubMed/NCBI

14 

Bell B, Gerber N, Williamson T, et al: In vitro accuracy evaluation of image-guided robot system for direct cochlear access. Otol Neurotol. 34:1284–1290. 2013. View Article : Google Scholar : PubMed/NCBI

15 

Alarcon G, Binnie CD, Elwes RD and Polkey CE: Power spectrum and intracranial EEG patterns at seizure onset in partial epilepsy. Electroencephalogr Clin Neurophysiol. 94:326–337. 1995. View Article : Google Scholar : PubMed/NCBI

16 

Park YD, Murro AM, King DW, Gallagher BB, Smith JR and Yaghmai F: The significance of ictal depth EEG patterns in patients with temporal lobe epilepsy. Electroencephalogr Clin Neurophysiol. 99:412–415. 1996. View Article : Google Scholar : PubMed/NCBI

17 

Guénot M, Isnard J, Ryvlin P, et al: Neurophysiological monitoring for epilepsy surgery: the Talairach SEEG method. Stereoelectroencephalography Indications, results, complications and therapeutic applications in a series of 100 consecutive cases. Stereotact Funct Neurosurg. 77:29–32. 2001.

18 

Guenot M and Isnard J: Multiple SEEG-guided RF-thermolesions of epileptogenic foci. Neurochirurgie. 54:441–447. 2008.(In French).

19 

Elliott RE, Morsi A, Geller EB, Carlson CC, Devinsky O and Doyle WK: Impact of failed intracranial epilepsy surgery on the effectiveness of subsequent vagus nerve stimulation. Neurosurgery. 69:1210–1217. 2011. View Article : Google Scholar : PubMed/NCBI

20 

Malikova H, Vojtech Z, Liscak R, et al: Stereotactic radiofrequency amygdalohippocampectomy for the treatment of mesial temporal lobe epilepsy: correlation of MRI with clinical seizure outcome. Epilepsy Res. 83:235–242. 2009. View Article : Google Scholar

21 

Kameyama S, Murakami H, Masuda H and Sugiyama I: Minimally invasive magnetic resonance imaging-guided stereotactic radiofrequency thermocoagulation for epileptogenic hypothalamic hamartomas. Neurosurgery. 65:438–449. 2009. View Article : Google Scholar

22 

Schmitt FC, Voges J, Buentjen L, et al: Radiofrequency lesioning for epileptogenic periventricular nodular heterotopia: a rational approach. Epilepsia. 52:e101–e105. 2011. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

June-2014
Volume 7 Issue 6

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Wu Z, Zhao Q, Tian Z, Zhang J, Xiao X, Lin H, Wang H and Wang F: Efficacy and safety of a new robot‑assisted stereotactic system for radiofrequency thermocoagulation in patients with temporal lobe epilepsy. Exp Ther Med 7: 1728-1732, 2014.
APA
Wu, Z., Zhao, Q., Tian, Z., Zhang, J., Xiao, X., Lin, H. ... Wang, F. (2014). Efficacy and safety of a new robot‑assisted stereotactic system for radiofrequency thermocoagulation in patients with temporal lobe epilepsy. Experimental and Therapeutic Medicine, 7, 1728-1732. https://doi.org/10.3892/etm.2014.1620
MLA
Wu, Z., Zhao, Q., Tian, Z., Zhang, J., Xiao, X., Lin, H., Wang, H., Wang, F."Efficacy and safety of a new robot‑assisted stereotactic system for radiofrequency thermocoagulation in patients with temporal lobe epilepsy". Experimental and Therapeutic Medicine 7.6 (2014): 1728-1732.
Chicago
Wu, Z., Zhao, Q., Tian, Z., Zhang, J., Xiao, X., Lin, H., Wang, H., Wang, F."Efficacy and safety of a new robot‑assisted stereotactic system for radiofrequency thermocoagulation in patients with temporal lobe epilepsy". Experimental and Therapeutic Medicine 7, no. 6 (2014): 1728-1732. https://doi.org/10.3892/etm.2014.1620