First of Its Kind AI Technology Analyzes Fast-Growing Brain Tumors on MRI
By MedImaging International staff writers Posted on 12 Oct 2022 |

High-Grade Gliomas, which includes Glioblastoma, are the most common, and most challenging, malignant primary brain cancers. In clinical practice, the brain MRI is the physician’s best tool to evaluate the details and changes in a brain tumor. However, even for the most experienced physicians this presents considerable challenges, which can have a direct impact on clinical care. Now, an advanced AI-based technology produces precise and accurate brain tumor analysis on brain MRIs, providing physicians with critical insights to help them deliver optimal treatment.
Neosoma HGG (High-Grade Glioma) from Neosoma, Inc. (Groton, MA, USA) is the first technology of its kind to support neuro-oncology clinicians in improving treatment of brain cancers. Neosoma HGG conducts detailed tumor segmentation, volumetric measurements, generates imaging for 3D geometric analysis and longitudinally tracks patients with high-grade glioma brain tumors. These features will help physicians to better plan procedures, assess post-procedural results, guide chemo and immunotherapy treatments and support an improved patient experience. Neosoma HGG is combined with the proprietary Neosoma Clinical Management Software Platform, allowing the multi-disciplinary physician team more effectively centralize clinical data, plan and track patient care, and significantly increase efficiency.
The Neosoma HGG AI-based neuro-oncology software device has received U.S. Food and Drug Administration (FDA) 510(k) clearance. Performance testing results, submitted to the FDA demonstrated that Neosoma HGG’s outputs exceeded that of individual neuro-radiology experts. When compared to a consensus of neuroradiologists, Neosoma HGG achieved an excellent 95.5% accuracy in measuring tumor volumes at multiple timepoints of patient care.
“Clinicians commonly debate the results of brain MRIs and whether the brain tumor is stable, responding to treatment, or progressing. Neosoma HGG will give us the objectivity needed to make our decisions easier and more accurate,” commented Isabelle M. Germano, MD, MBA, FACS, Professor of Neurosurgery and Director of the Comprehensive Brain Tumor Program at The Mount Sinai Medical Center.
“Neosoma HGG will give us a novel tool allowing for comprehensive longitudinal monitoring and understanding of brain tumors, assist in our decision making, and will be a valuable part of our clinical practice. I look forward to using this new and important technology,” stated Roger Stupp, M.D., Chief of Neuro-oncology and Co-director of the Northwestern Medicine Malnati Brain Tumor Institute and Professor of Neurological Surgery, Neurology and Medicine at Northwestern University.
Related Links:
Neosoma, Inc.
Latest MRI News
- New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
- 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
Channels
Radiography
view channel
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 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 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-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