Combining Advanced Imaging Technologies Offers Breakthrough in Glioblastoma Treatment
By MedImaging International staff writers Posted on 27 Dec 2024 |

Glioblastoma is the deadliest form of primary brain cancer, largely due to its aggressive growth and resistance to treatment. The tumor infiltrates healthy brain tissue with hair-like extensions, complicating surgical removal. Surgeons face the delicate task of excising as much of the tumor as possible while safeguarding vital brain regions that control essential functions like movement and speech. Moreover, the tumor's complex cellular structure and its ability to evade conventional therapies add to the difficulty of treating the condition. While standard radiation therapy is commonly employed and can be effective, it also carries the risk of damaging healthy brain tissue, leading to unintended side effects. Now, a new treatment strategy combining advanced imaging may offer improved survival rates for older patients with newly diagnosed glioblastoma, all while preserving their quality of life.
Mayo Clinic (Rochester, MN, USA) has shared the findings from its phase 2, single-arm study using one of the most innovative radiation treatments available today—proton beam therapy. This advanced, nonsurgical radiation therapy targets cancer cells with remarkable precision while minimizing damage to surrounding healthy tissue. The study focused on patients over the age of 65 who had been newly diagnosed with WHO grade 4, malignant glioblastoma. In the SAGA clinical trial (Stereotactic Ablative Radiation Treatment for Glioblastoma), the research team utilized short-course hypofractionated proton beam therapy, enhanced by advanced imaging techniques. These included 18F-DOPA PET and contrast-enhanced MRI, which helped map the target area in the patient's brain and identify the most metabolically active regions of the tumor. By combining these imaging technologies, the team was able to deliver treatment in just one to two weeks, compared to the usual three to six weeks.
The results of the study published in The Lancet Oncology showed that 56% of participants survived for 12 months, with a median overall survival of 13.1 months. The combination of advanced imaging and proton beam therapy allowed for more precise radiation delivery, sparing healthy brain tissue from unnecessary exposure. The patients tolerated the treatment well, with survival outcomes exceeding expectations. This study was the first clinical trial to investigate short-course hypofractionated proton beam therapy, incorporating advanced imaging techniques, for older patients with newly diagnosed glioblastoma. Following these promising results, Mayo Clinic has initiated a larger, randomized clinical trial.
“As compared to prior phase 3 studies in an older population having a median survival of only six to nine months, these results are promising," said Sujay Vora, M.D., radiation oncologist at Mayo Clinic, who led the research team. "In some cases, patients with tumors that have favorable genetics lived even longer, with a median survival of 22 months. We are very excited about these results."
"Our goal is to transform the way we treat glioblastoma using shorter courses of radiation to minimize the burden on patients and their families and help them complete safe and effective treatment in a shorter amount of time," added William Breen, M.D., radiation oncologist and principal investigator of the current study.
Related Links:
Mayo Clinic
Latest MRI News
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
Channels
Radiography
view channel
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 more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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