New Method for Triggering and Imaging Seizures to Help Guide Epilepsy Surgery
By MedImaging International staff writers Posted on 13 Mar 2024 |

Individuals experiencing epilepsy and seizures unmanageable with medication often find brain surgery beneficial. This procedure aims to excise the epileptic tissue while preserving healthy tissue, thus controlling seizures without inducing neurological damage. Accurately identifying the epileptic tissue is crucial for the success of such surgeries, and the acquisition of images during seizures can significantly enhance the precision of surgical planning. Traditionally, ictal SPECT has been the exclusive neuro-imaging technique capable of capturing seizures as they occur within the brain since the 1990s. Yet, the increasing demands on healthcare resources and time have led many epilepsy centers to forgo this informative method. A new approach for inducing and imaging seizures could now enable clinicians to obtain real-time insights for customizing epilepsy surgery more effectively.
In comparison to the previous approach, where physicians from neurology and nuclear medicine waited for hours to days to capture the onset of a seizure, the new method developed by researchers at University Hospital of Bern (Bern, Switzerland), is more convenient, requires fewer resources, and is clinically feasible. In their study involving three adult subjects with left temporal lobe epilepsy, the researchers decided not to wait for spontaneous occurrences and instead imaged planned seizures that were triggered with targeted electrical stimulation to the brain. The research team employed stereotactic electroencephalography (sEEG) leads placed in specific brain regions to induce seizures characteristic of each patient. A radiotracer, 99mTc-HMPAO, was administered within 12 seconds of the seizure's start, with SPECT imaging following within 40 minutes.
The method successfully triggered seizures in all the participants, replicating each patient's typical seizure presentation and electrographic pattern observed through sEEG, without causing any adverse effects. The seizures induced were specific for each patient, with early seizure spread being uniquely imaged. In the first two cases, ictal SPECT provided additional insights beyond those offered by sEEG, highlighting the early involvement of brain regions lacking electrode coverage. In the third case, both sEEG and ictal SPECT provided overlapping information.
“The finding of this study is of practical nature, as it greatly facilitates the acquisition of the ictal SPECT,” said Thomas Pyka, MD, Privatdozent in the Department of Nuclear Medicine at the University Hospital of Bern. “This may help obtain images of greater quality and could contribute to the refinement of resection planning, improving seizure and cognitive outcomes in epilepsy surgery.”
Related Links:
University Hospital of Bern
Latest Nuclear Medicine News
- New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access
- New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively
- AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging
- Early 30-Minute Dynamic FDG-PET Acquisition Could Halve Lung Scan Times
- Radioguided Surgery Accurately Detects and Removes Metastatic Lymph Nodes in Prostate Cancer Patients
- New PET Tracer Detects Inflammatory Arthritis Before Symptoms Appear
- Novel PET Tracer Enhances Lesion Detection in Medullary Thyroid Cancer
- Targeted Therapy Delivers Radiation Directly To Cells in Hard-To-Treat Cancers
- New PET Tracer Noninvasively Identifies Cancer Gene Mutation for More Precise Diagnosis
- Algorithm Predicts Prostate Cancer Recurrence in Patients Treated by Radiation Therapy
- Novel PET Imaging Tracer Noninvasively Identifies Cancer Gene Mutation for More Precise Diagnosis
- Ultrafast Laser Technology to Improve Cancer Treatment
- Low-Dose Radiation Therapy Demonstrates Potential for Treatment of Heart Failure
- New PET Radiotracer Aids Early, Noninvasive Detection of Inflammatory Bowel Disease
- Combining Amino Acid PET and MRI Imaging to Help Treat Aggressive Brain Tumors
- Medical Imaging Technique Enables Accurate Visualization of Tumor-Targeting Bacteria
Channels
Radiography
view channel
Novel Breast Imaging System Proves As Effective As Mammography
Breast cancer remains the most frequently diagnosed cancer among women. It is projected that one in eight women will be diagnosed with breast cancer during her lifetime, and one in 42 women who turn 50... Read more
AI Assistance Improves Breast-Cancer Screening by Reducing False Positives
Radiologists typically detect one case of cancer for every 200 mammograms reviewed. However, these evaluations often result in false positives, leading to unnecessary patient recalls for additional testing,... Read moreMRI
view channel
PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients
The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more
Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery
Essential tremor, often called familial, idiopathic, or benign tremor, leads to uncontrollable shaking that significantly affects a person’s life. When traditional medications do not alleviate symptoms,... Read more
Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality
Prostate cancer ranks as the most prevalent cancer among men. Over the last decade, the introduction of MRI scans has significantly transformed the diagnosis process, marking the most substantial advancement... Read moreUltrasound
view channel
Deep Learning Advances Super-Resolution Ultrasound Imaging
Ultrasound localization microscopy (ULM) is an advanced imaging technique that offers high-resolution visualization of microvascular structures. It employs microbubbles, FDA-approved contrast agents, injected... Read more
Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection
Biofilms, formed by bacteria aggregating into dense communities for protection against harsh environmental conditions, are a significant contributor to various infectious diseases. Biofilms frequently... Read moreGeneral/Advanced Imaging
view channel
New AI Method Captures Uncertainty in Medical Images
In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more.jpg)
CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease
Coronary artery disease (CAD), one of the leading causes of death worldwide, involves the narrowing of coronary arteries due to atherosclerosis, resulting in insufficient blood flow to the heart muscle.... Read more
Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s
Alzheimer's disease (AD), a condition marked by cognitive decline and the presence of beta-amyloid (Aβ) plaques and neurofibrillary tangles in the brain, poses diagnostic challenges. Amyloid positron emission... Read more.jpg)
CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures
The rise in the aging population is expected to result in a corresponding increase in the prevalence of vertebral fractures which can cause back pain or neurologic compromise, leading to impaired function... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
Bayer and Google Partner on New AI Product for Radiologists
Medical imaging data comprises around 90% of all healthcare data, and it is a highly complex and rich clinical data modality and serves as a vital tool for diagnosing patients. Each year, billions of medical... Read more