New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
By MedImaging International staff writers Posted on 19 May 2025 |

Cerebral cavernous malformations (CCMs), also known as cavernomas, are abnormal clusters of blood vessels that can grow in the brain, spinal cord, or other parts of the body. While most cases remain asymptomatic, some individuals may experience headaches, seizures, muscle weakness, or even life-threatening complications. Treatment for CCMs often involves brain surgery, typically when there is a risk of a dangerous brain bleed, or stereotactic radiosurgery, which uses radiation to target CCMs that are too difficult for a surgeon to reach. Now, a new, incision-free technique has emerged as a promising option to treat these debilitating lesions, showing great potential in early trials by effectively halting their growth.
The new approach, developed at UVA Health’s FUS Cancer Immunotherapy Center (Charlottesville, VA, USA), could revolutionize the way CCMs are treated, according to the researchers. The method employs tiny, gas-filled "microbubbles" that are activated by focused sound waves. These sound waves open the brain's protective barrier and stop the growth of the cavernomas. In a study published in Nature Biomedical Engineering, the researchers were astounded by the success of their microbubble treatment in laboratory tests. After just one month, the treatment had stopped the growth of 94% of CCMs in lab mice. In contrast, untreated CCMs grew seven times in size over the same period. In some instances, brain tissue that was exposed to the focused ultrasound with microbubbles showed a reduced tendency to develop new CCMs in the future. If this outcome can be replicated in humans, it may offer a preventive treatment for individuals with a genetic predisposition to developing multiple new CCMs throughout their lives.
This novel technique could present an alternative to traditional treatments, avoiding the side effects commonly associated with brain surgery and stereotactic radiosurgery. For instance, conventional brain surgery carries risks inherent to the procedure and the possibility that the cavernomas could regrow after removal. Furthermore, simulations of treatment plans for patients who have received stereotactic radiosurgery show that the microbubble approach is already compatible with current technology, although clinical trials will be necessary before the U.S. Food and Drug Administration (FDA) could approve it for use in patients. One of the key advantages of this approach is that it does not involve the use of drugs. Researchers at UVA and other institutions have been exploring the use of focused ultrasound to briefly disrupt the blood-brain barrier, which could allow for targeted drug delivery for conditions like Alzheimer's disease. However, in both Alzheimer’s and now CCMs, the application of sound-propelled microbubbles has demonstrated substantial benefits even without the use of drugs, a result that scientists are still working to fully understand.
“Because the focused ultrasound treatment is relatively simple and non-invasive and the necessary clinical devices are becoming more common, if proven safe in clinical trials, I am hopeful it could eventually become a real treatment option,” said researcher Richard J. Price, PhD, co-director of UVA Health’s Focused Ultrasound Cancer Immunotherapy Center.
Related Links:
UVA FUS Cancer Immunotherapy Center
Latest Ultrasound News
- AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
- AI Identifies Heart Valve Disease from Common Imaging Test
- Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
- Ultrasound-Based Microscopy Technique to Help Diagnose Small Vessel Diseases
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
- High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
- World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
- Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
- Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
- AI Improves Detection of Congenital Heart Defects on Routine Prenatal Ultrasounds
- AI Diagnoses Lung Diseases from Ultrasound Videos with 96.57% Accuracy
- New Contrast Agent for Ultrasound Imaging Ensures Affordable and Safer Medical Diagnostics
- Ultrasound-Directed Microbubbles Boost Immune Response Against Tumors
- POC Ultrasound Enhances Early Pregnancy Care and Cuts Emergency Visits
- AI-Based Models Outperform Human Experts at Identifying Ovarian Cancer in Ultrasound Images
Channels
Radiography
view channel
Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans
A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read moreMRI
view channel
Simple Brain Scan Diagnoses Parkinson's Disease Years Before It Becomes Untreatable
Parkinson's disease (PD) remains a challenging condition to treat, with no known cure. Though therapies have improved over time, and ongoing research focuses on methods to slow or alter the disease’s progression,... Read more
Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
Aortic stenosis is a common and potentially life-threatening heart condition. It occurs when the aortic valve, which regulates blood flow from the heart to the rest of the body, becomes stiff and narrow.... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... Read more
CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
Medical imaging, such as computed tomography (CT) scans, plays a crucial role in oncology, offering essential data for cancer detection, treatment planning, and monitoring of response to therapies.... 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
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more