MRI System Helps Plan Prostate Cancer Radiation Treatment
By MedImaging International staff writers Posted on 11 Apr 2016 |

Image: The Philips Ingenia MR-RT imaging platform (Photo courtesy of Royal Philips).
An innovative imaging system helps plan radiotherapy (RT) treatment of prostate cancer using magnetic resonance imaging (MRI) alone, without the need for computerized tomography (CT).
The Royal Philips (Amsterdam, The Netherlands) Magnetic Resonance for Calculating Attenuation (MRCAT) system, designed for the Ingenia MR-RT imaging platform, will support those who choose to use MRI as their single-modality imaging approach to prostate cancer RT treatment planning. The MRCAT system provides high-quality, soft-tissue contrast for target delineation, as well as density information for dose calculations via robust imaging protocols that allow the system to obtain CT-like workflow, and potentially reduced provider costs, as compared to MR-CT workflow.
“Where CT solutions have played a leading role in past radiotherapy treatments, MR takes an innovative approach by providing physicians with increased soft-tissue visualization and functional imaging capabilities to help improve treatment plans,” said Lizette Warner, PhD, manager of clinical science MR therapy at Philips North America. “MR-only simulation makes MR more accessible for hospitals and physicians, transforming the way care is delivered and supporting our customers in improving care for oncology patients who require radiotherapy.”
“Successful cancer treatment depends on the quality and accuracy of the radiation therapy plan, making imaging a critical piece in determining course of treatment. The real power of MR-only simulation is that it enables us to develop personal treatment plans,” said Rodney Ellis, MD, vice chairman of radiation oncology at the Seidman Cancer Center (Cleveland, OH, USA). “The new process will help streamline workflow that will, in turn, reduce the burden on patients and health care providers. Moreover, it can eliminate the systematic errors introduced by MR-CT registration.”
Prostate cancer is the most common cancer among American men, with approximately one million patients undergoing RT annually. Current clinical practice often uses a combined approach of both MR and CT images, but this can lead to image misalignment and registration uncertainties that could impact targeting and treatment. It also puts pressure on patient burden, workflows, and costs.
Related Links:
Royal Philips
Seidman Cancer Center
The Royal Philips (Amsterdam, The Netherlands) Magnetic Resonance for Calculating Attenuation (MRCAT) system, designed for the Ingenia MR-RT imaging platform, will support those who choose to use MRI as their single-modality imaging approach to prostate cancer RT treatment planning. The MRCAT system provides high-quality, soft-tissue contrast for target delineation, as well as density information for dose calculations via robust imaging protocols that allow the system to obtain CT-like workflow, and potentially reduced provider costs, as compared to MR-CT workflow.
“Where CT solutions have played a leading role in past radiotherapy treatments, MR takes an innovative approach by providing physicians with increased soft-tissue visualization and functional imaging capabilities to help improve treatment plans,” said Lizette Warner, PhD, manager of clinical science MR therapy at Philips North America. “MR-only simulation makes MR more accessible for hospitals and physicians, transforming the way care is delivered and supporting our customers in improving care for oncology patients who require radiotherapy.”
“Successful cancer treatment depends on the quality and accuracy of the radiation therapy plan, making imaging a critical piece in determining course of treatment. The real power of MR-only simulation is that it enables us to develop personal treatment plans,” said Rodney Ellis, MD, vice chairman of radiation oncology at the Seidman Cancer Center (Cleveland, OH, USA). “The new process will help streamline workflow that will, in turn, reduce the burden on patients and health care providers. Moreover, it can eliminate the systematic errors introduced by MR-CT registration.”
Prostate cancer is the most common cancer among American men, with approximately one million patients undergoing RT annually. Current clinical practice often uses a combined approach of both MR and CT images, but this can lead to image misalignment and registration uncertainties that could impact targeting and treatment. It also puts pressure on patient burden, workflows, and costs.
Related Links:
Royal Philips
Seidman Cancer Center
Latest MRI News
- 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
- New Model Makes MRI More Accurate and Reliable
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 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 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 more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... 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