New MRI Technique Could Be Used to Detect Breast and Prostate Cancers
|
By MedImaging International staff writers Posted on 19 Jun 2023 |

Correlated diffusion imaging (CDI) is an innovative MRI technique that offers enhanced visualization of the movement of water molecules in tissue by combining and analyzing MRI signals obtained at different gradient pulse strengths and timings. Initially developed as a promising imaging tool for cancer detection, new research has now uncovered its potential for assessing various conditions, including COVID-19's impact on the brain as well as detecting breast and prostate cancers.
Engineers at the University of Waterloo (Waterloo, ON, Canada) had previously devised CDI as a means to enhance imaging measurements for cancer detection. Recognizing its capabilities, scientists at Baycrest’s Rotman Research Institute (Toronto, Canada) embarked on a groundbreaking study to explore CDI's potential in identifying brain changes associated with COVID-19. The subsequent tests confirmed the hypothesis. CDI revealed altered diffusion patterns in the frontal-lobe white matter, showing less restricted water molecule diffusion in COVID-19 patients. Simultaneously, it exhibited more restricted diffusion in the cerebellum of individuals affected by COVID-19.
The Rotman study is one of the few to shed light on the effects of COVID-19 on the brain. Significantly, it is the first to report diffusion abnormalities in the white matter of the cerebellum. While the study aimed to demonstrate changes rather than specific brain damage resulting from COVID-19, its final report does discuss potential sources of such alterations and their potential connections to diseases and damage. Future investigations could delve into whether COVID-19 leads to actual brain tissue damage and explore any potential changes in the brain's grey matter.
“Hopefully, this research can lead to better diagnoses and treatments for COVID-19 patients,” said Alexander Wong, a systems design engineering professor at University of Waterloo who developed CDI. “And that could just be the beginning for CDI as it might be used to understand degenerative processes in other diseases such as Alzheimer’s or to detect breast or prostate cancers.”
Related Links:
University of Waterloo
Rotman Research Institute
Latest MRI News
- Cardiac MRI Detects Hidden Heart Dysfunction After Heart Attack
- AI Tool Reveals Cortical Lesions on Standard MRI in Multiple Sclerosis
- AI Reconstruction Tool Speeds Dynamic Breast MRI and Improves Cancer Detection
- International Study Assesses AI for Prostate Cancer MRI Interpretation
- 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
Channels
Radiography
view channel
AI Tool Predicts Five-Year Breast Cancer Risk from Mammograms
Breast cancer risk assessment during routine screening is difficult because many women who develop the disease have no known genetic mutations or family history. Static risk tools provide limited discrimination... Read more
AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis
Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read moreUltrasound
view channel
Portable 3D Ultrasound System Enables Reproducible Breast Cancer Monitoring
Breast cancer can develop between annual mammograms, and these interval cancers account for 20% to 30% of cases and tend to be more aggressive. The challenge is pronounced in people with dense breast tissue.... Read more
AI Ultrasound Platform Receives CE Mark for Prenatal Screening
Prenatal ultrasound is central to fetal anomaly screening, yet it remains one of the most technically demanding examinations in routine care. Because both image acquisition and interpretation are highly... Read moreNuclear Medicine
view channel
Second PSMA PET Identifies Disease in More Than Half of Negative Cases
Biochemical recurrence of prostate cancer after prostatectomy or radiation can be difficult to localize when imaging is negative. Uncertain disease sites may delay salvage therapy and expose patients to... Read moreNew PET Tracer Detects DVT and Pulmonary Embolism in One Scan
Deep vein thrombosis is the formation of clots in deep leg veins that can migrate to the lungs as pulmonary embolism. Rapid confirmation across both regions often requires multiple tests and can delay treatment.... Read moreGeneral/Advanced Imaging
view channel
Virtual Staining Technique Creates Histology Images from CT Data
Pulmonary hypertension, a disorder marked by pathological remodeling of the pulmonary vessels, often requires detailed histologic assessment. Yet routine pathology remains anchored in labor‑intensive,... Read more
CT-Derived Biomarker Predicts Outcomes in Gastric Cancer
Gastric cancer, also known as stomach cancer, is the fifth most common malignancy worldwide and often shows heterogeneous outcomes even within the same stage. Prognostic estimates typically rely on tumor-centric... Read more
AI Tool Enhances Response Assessment and Survival Prediction in Pleural Mesothelioma
Pleural mesothelioma, a cancer that grows as a thin, irregular layer along the lung wall, is difficult to measure on imaging. Clinicians rely on diameter-based Response Evaluation Criteria in Solid Tumors... Read moreImaging IT
view channel
Ambient AI Reporting Platform Streamlines Radiology Reporting
Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after... Read more
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 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




 Guided Devices.jpg)


