Targeted Therapy Delivers Radiation Directly To Cells in Hard-To-Treat Cancers
By MedImaging International staff writers Posted on 08 Jan 2024 |

Alpha-particle emitter radiopharmaceutical therapy (alpha-emitter RPT) is an emerging cancer treatment that has shown considerable success in targeting widespread, resistant cancer cells by directly delivering potent radiation. Administered intravenously, this therapy involves attaching radioactive atoms, which emit alpha-particles or helium nuclei, to molecules specifically designed to bind with cancer cells scattered throughout the body. This targeted approach allows the alpha-particles to inflict substantial DNA damage to the cancer cells, effectively destroying them, while also minimizing harm to the surrounding healthy tissues and mitigating some of the severe side effects typically associated with radiation and chemotherapy.
In recent years, the FDA has approved several agents utilizing this method to deliver radiation therapies aimed at treatment-resistant cancers, sparking an increased demand to refine these treatments and explore new specific radiation therapies. Researchers at Johns Hopkins Medicine (Baltimore, MD, USA) who have previously established the efficacy of this therapy in managing various metastatic cancers that are unresponsive to standard treatments, are now set to further enhance the alpha-emitter RPT with a USD 15 million grant from the National Cancer Institute. Their focus will be on fine-tuning the therapy and customizing its use, including developing sophisticated imaging techniques and understanding the radiation's distribution in tissues to personalize treatment for each patient. The research team plans to delve into the mathematical and physics-based aspects of alpha-emitter RPT to address these challenges effectively.
“The study of these types of radiation treatments is a very active field that is also very niche,” said George Sgouros, Ph.D., director of the radiological physics division and professor of radiology and radiological science at the Johns Hopkins University School of Medicine. “It is a unique area of study because a multidisciplinary team is needed to fully optimize such therapies, everything from physics, radiochemistry, biology and pharmacokinetics impacts this treatment approach.”
Related Links:
Johns Hopkins Medicine
Latest Nuclear Medicine News
- Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
- Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
- New Molecular Imaging Test to Improve Lung Cancer Diagnosis
- Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery
- Next-Gen Tau Radiotracers Outperform FDA-Approved Imaging Agents in Detecting Alzheimer’s
- Breakthrough Method Detects Inflammation in Body Using PET Imaging
- Advanced Imaging Reveals Hidden Metastases in High-Risk Prostate Cancer Patients
- Combining Advanced Imaging Technologies Offers Breakthrough in Glioblastoma Treatment
- New Molecular Imaging Agent Accurately Identifies Crucial Cancer Biomarker
- New Scans Light Up Aggressive Tumors for Better Treatment
- AI Stroke Brain Scan Readings Twice as Accurate as Current Method
- AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer
- New Imaging Agent to Drive Step-Change for Brain Cancer Imaging
- Portable PET Scanner to Detect Earliest Stages of Alzheimer’s Disease
- New Immuno-PET Imaging Technique Identifies Glioblastoma Patients Who Would Benefit from Immunotherapy
- PET Software Enhances Diagnosis and Monitoring of Alzheimer's Disease
Channels
Radiography
view channel
AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
A new study has revealed that an artificial intelligence (AI)-powered solution significantly improves cancer detection in single-reader mammography settings without increasing recall rates, offering a... Read more
Photon Counting Detectors Promise Fast Color X-Ray Images
For many years, healthcare professionals have depended on traditional 2D X-rays to diagnose common bone fractures, though small fractures or soft tissue damage, such as cancers, can often be missed.... Read moreMRI
view channel
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreUltrasound
view channel
Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... Read more
Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read moreGeneral/Advanced Imaging
view channel
AI Reduces CT Lung Cancer Screening Workload by Almost 80%
Lung cancer impacts over 48,000 individuals in the UK annually, and early detection is key to improving survival rates. The UK Lung Cancer Screening (UKLS) trial has already shown that low-dose CT (LDCT)... Read more
Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
Stroke is the second leading cause of death globally, claiming millions of lives each year. Ischemic stroke, in particular, occurs when a blood vessel that supplies blood to the brain becomes blocked.... Read more
AI System Detects Subtle Changes in Series of Medical Images Over Time
Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... Read more
New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
Cancers of the mouth, nose, and throat are becoming increasingly common in the U.S., particularly among younger individuals. Approximately 60,000 new cases are diagnosed annually, with 20% of these cases... 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
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