We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App

Novel MRI Method Could Predict Early Response to Neoadjuvant Chemotherapy in Breast Cancer Patients

By MedImaging International staff writers
Posted on 18 Sep 2023
Print article
Image: A new MRI exam could predict chemotherapy’s effectiveness in breast cancer patients (Photo courtesy of 123RF)
Image: A new MRI exam could predict chemotherapy’s effectiveness in breast cancer patients (Photo courtesy of 123RF)

Neoadjuvant chemotherapy is often administered to shrink tumors before surgery in patients with breast cancer. However, due to the varying mutations within the same genes in breast tumors, almost 80% of patients experience either partial or no response to traditional chemotherapy. The conventional way to evaluate a patient's reaction to chemotherapy is by monitoring changes in the size of the tumor, a process that can take between four and six months and multiple treatment cycles. Researchers are now examining if a new type of MRI can assess the effectiveness of a chemotherapy regimen for women with breast cancer based on just one round of treatment.

Magnetic Resonance Fingerprinting (MRF) is an innovative MRI method that can examine multiple tissues in the body with a single, time-saving image or "fingerprint." This advanced technology has the potential for a wide range of clinical uses, including early disease identification and gauging how well a treatment is working. Researchers at Case Western Reserve University (Cleveland, OH, USA) are studying whether MRF can provide an early indication of how well neoadjuvant chemotherapy is working in breast cancer patients.

If MRF can deliver consistent insights into the effectiveness of neoadjuvant chemotherapy in breast cancer patients, it could help patients avoid treatments that are not required and enable physicians to explore other options more quickly. Early findings from their research suggest that MRF can accurately evaluate the effectiveness of therapy between seven and ten days after the first cycle of chemotherapy. This could greatly enhance patient care, offering the chance for more individualized treatment plans for many women.

“This study has great potential to bring real survival and quality-of-life benefits to our breast cancer patients,” said Yong Chen, an assistant professor of radiology at the Case Western Reserve School of Medicine. “The ultimate goal is to eliminate ineffective treatments in eligible subjects and instead tailor the treatment methods for optimum therapeutic outcomes for women with breast cancer.”

Related Links:
Case Western Reserve University 

Gold Supplier
IMRT Thorax Phantom
CIRS Model 002LFC
Gold Supplier
Conductive Gel
Wireless Flat Panel Detector
Lead Apron
Standard Regular Vest

Print article
Sun Nuclear -    Mirion



view channel
Image: The AI model improves tumor removal accuracy during breast cancer surgery (Photo courtesy of UNC School of Medicine)

AI Model Analyzes Tumors Removed Surgically in Real-Time

During breast cancer surgery, the surgeon removes the tumor, also known as a specimen, along with a bit of the adjacent healthy tissue to ensure all cancerous cells are excised. This specimen is then X-rayed... Read more


view channel
Image: FloPatch is a revolutionary tool that facilitates real-time precision in IV fluid management in sepsis (Photo courtesy of Flosonics)

Wireless, Wearable Doppler Ultrasound Revolutionizes Precision Fluid Management in Sepsis Care

When a patient comes to the hospital with sepsis, administering intravenous (IV) fluids is usually the first course of action. However, too much IV fluid can do more harm than good, causing additional... Read more

Nuclear Medicine

view channel
Image: An AI model can evaluate brain tumors on PET (Photo courtesy of Freepik)

AI Model for PET Imaging Determines Patient Response to Brain Tumor Treatments

The assessment of changes in metabolic tumor volume (MTV) through PET scans using specific radiotracers like F-18 fluoroethyl tyrosine (FET) plays a vital role in evaluating the treatment response in patients... Read more

General/Advanced Imaging

view channel
Image: Annalise Enterprise CTB acts like a ‘second pair of eyes’ for radiologists (Photo courtesy of Annalise.ai)

Deep Learning System Boosts Radiologist Accuracy and Speed for Head CTs

Non-contrast computed tomography of the brain (NCCTB) is a commonly employed method for identifying intracranial pathology. Despite its frequent use, the complex scan outcomes are prone to being misunderstood.... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

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
Copyright © 2000-2023 Globetech Media. All rights reserved.