Contrast-Enhanced Breast MRI May Predict Chemotherapy’s Effectiveness
|
By MedImaging International staff writers Posted on 12 Jun 2012 |
Magnetic resonance imaging (MRI) can provide an indication of a breast tumor’s response to presurgical chemotherapy considerably earlier than possible through clinical examination, according to a new study.
The study’s findings were published online May 25, 2012, in the journal Radiology. Women with breast cancer often undergo chemotherapy prior to surgery. Research has shown that women who receive this treatment, known as neoadjuvant chemotherapy, are more likely to achieve breast conservation than those receiving chemotherapy after surgery.
Clinicians monitor a patient’s response to neoadjuvant chemotherapy through clinical measurements of the tumor’s size and location. Contrast-enhanced MRI offers a potential option to the clinical approach through its ability to identify blood vessel formation in tumors, known as angiogenesis. Angiogenesis is an earlier and more accurate marker of tumor response.
“MRI was better than the clinical approach for predicting which patients would go on to have complete tumor response,” said Nola M. Hylton, PhD, professor of radiology and biomedical imaging at the University of California in San Francisco (CA, USA). “It gave us great information on early response to treatment.”
For the study, researchers analyzed data from ACRIN 6657, the imaging component of the multicenter Investigation of Serial Studies to Predict Your Therapeutic Response with Imaging And moLecular Analysis (I-SPY TRIAL) breast cancer trial. They compared MRI and clinical assessment in 216 female patients ranging in age from 26 to 68 years undergoing neoadjuvant chemotherapy for stage II or III breast cancer. MRI scanning sessions were performed before, during, and after administration of a chemotherapy regimen. The researchers correlated imaging results with subsequent laboratory analysis of surgical samples.
MRI size measurements were superior to clinical examination at all time-points, with tumor volume change demonstrating the greatest comparative benefit at the second MRI exam. MRI was better than clinical assessment in predicting both complete tumor response and residual cancer burden.
The study showed how imaging can play a vital role in characterizing a tumor and monitoring treatment response. “What we see on imaging helps us define not just the size of the tumor but its biological activity,” Dr. Hylton said. “We can observe if the signal increases after contrast injection, and interpret that increase as angiogenic activity. We can also use water diffusion measurements with MRI to provide an indirect reflection of the density of the cells.”
Dr. Hylton and colleagues currently are evaluating I-SPY data to see if MRI is better for predicting the likelihood of breast cancer recurrence. They expect to publish those results later this year.
Related Links:
University of California in San Francisco
The study’s findings were published online May 25, 2012, in the journal Radiology. Women with breast cancer often undergo chemotherapy prior to surgery. Research has shown that women who receive this treatment, known as neoadjuvant chemotherapy, are more likely to achieve breast conservation than those receiving chemotherapy after surgery.
Clinicians monitor a patient’s response to neoadjuvant chemotherapy through clinical measurements of the tumor’s size and location. Contrast-enhanced MRI offers a potential option to the clinical approach through its ability to identify blood vessel formation in tumors, known as angiogenesis. Angiogenesis is an earlier and more accurate marker of tumor response.
“MRI was better than the clinical approach for predicting which patients would go on to have complete tumor response,” said Nola M. Hylton, PhD, professor of radiology and biomedical imaging at the University of California in San Francisco (CA, USA). “It gave us great information on early response to treatment.”
For the study, researchers analyzed data from ACRIN 6657, the imaging component of the multicenter Investigation of Serial Studies to Predict Your Therapeutic Response with Imaging And moLecular Analysis (I-SPY TRIAL) breast cancer trial. They compared MRI and clinical assessment in 216 female patients ranging in age from 26 to 68 years undergoing neoadjuvant chemotherapy for stage II or III breast cancer. MRI scanning sessions were performed before, during, and after administration of a chemotherapy regimen. The researchers correlated imaging results with subsequent laboratory analysis of surgical samples.
MRI size measurements were superior to clinical examination at all time-points, with tumor volume change demonstrating the greatest comparative benefit at the second MRI exam. MRI was better than clinical assessment in predicting both complete tumor response and residual cancer burden.
The study showed how imaging can play a vital role in characterizing a tumor and monitoring treatment response. “What we see on imaging helps us define not just the size of the tumor but its biological activity,” Dr. Hylton said. “We can observe if the signal increases after contrast injection, and interpret that increase as angiogenic activity. We can also use water diffusion measurements with MRI to provide an indirect reflection of the density of the cells.”
Dr. Hylton and colleagues currently are evaluating I-SPY data to see if MRI is better for predicting the likelihood of breast cancer recurrence. They expect to publish those results later this year.
Related Links:
University of California in San Francisco
Latest MRI News
- AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%
- Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
- AI System Improves Accuracy of Cardiac MRI Interpretation
- Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI
- Blood-Brain Barrier Imaging Adds Risk Insight to Standard Stroke MRI
- AI Body Composition MRI Analysis Predicts Cardiometabolic Disease Risk
- AI MRI Tool Quantifies Muscle Fat to Assess Cardiometabolic Risk
- Advanced MRI Visualizes CSF Motion Changes After Mild Traumatic Brain Injury
- MRI Tool Enables Long-Term Tracking of Transplanted Cardiac Cells
- MRI-Based AI Tool Supports Differentiation of Parkinsonian Syndromes
- MRI-Derived Biomarker Improves Risk Stratification in Glioblastoma
- Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
- Advanced MRI System Detects Impaired Cardiac Oxygen Use in Minutes
- AI-Enhanced MRI Improves Image Quality in Arrhythmia Patients
- Ultra-Detailed Brain Atlas Enhances Early Detection of Neurological Disorders
- Study Finds Advanced Imaging Significantly Reduces Unnecessary Prostate Biopsies
Channels
Radiography
view channel
Rapid X-Ray Test Quantifies Pulmonary Regurgitation After Tetralogy of Fallot Repair
Tetralogy of Fallot is the most common cyanotic congenital heart defect and can leave patients with pulmonary valve regurgitation, a backward flow of blood into the right ventricle after repair.... Read more
AI Tool Flags Osteoporosis Risk from Routine Chest X-Rays
Osteoporosis is a progressive loss of bone density that is often silent until a fracture occurs. Current screening frameworks concentrate on older women and select high-risk groups. Many men, younger adults,... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channel
Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
Osteosarcoma, an aggressive primary bone cancer that mainly affects children and adolescents, demands wide excision to prevent local recurrence. Surgeons must achieve negative margins while preserving... Read more
Portable PET System Enables Real-Time Bedside Guidance for Biopsies and Ablations
Interventional radiology procedures typically rely on ultrasound, X-ray fluoroscopy, or computed tomography for image guidance. These modalities visualize anatomy but offer limited molecular information,... Read moreGeneral/Advanced Imaging
view channelNew SPECT/CT Method Differentiates Inflammation from Fibrosis in Interstitial Lung Disease
Interstitial lung disease (ILD) encompasses more than 200 disorders that inflame or scar the lung interstitium and can lead to progressive respiratory failure. Determining whether active inflammation is... Read more
Whole-Body PET/CT Tracks Metabolic Changes After Bariatric Surgery
Obesity surgery improves weight and comorbidity profiles, yet clinicians lack tools to monitor organ-level metabolic recovery after the procedure. A clear view of systemic changes could refine follow-up... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
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 Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







