Catheter-Based Device with New Cardiovascular Imaging Approach Offers Unprecedented View of Dangerous Plaques
By MedImaging International staff writers Posted on 06 Mar 2024 |

Atherosclerosis, a major cause of heart attacks and strokes, surpasses all types of cancer combined as the leading cause of death in Western societies, representing a significant public health issue. This condition arises when substances like fats and cholesterol build up in artery walls, causing them to thicken and stiffen. If a plaque in these blood vessels ruptures or fragments, it can lead to a heart attack or stroke. Now, researchers have invented a novel catheter-based device that combines two sophisticated optical techniques to image dangerous plaques in arteries supplying blood to the heart. By revealing new details about plaques, this device could be instrumental in enhancing treatments to prevent heart attacks and strokes.
Much of the current knowledge about atherosclerosis's formation and progression stems from histopathology studies on postmortem coronary specimens. Although the advent of intravascular ultrasound and OCT has enabled plaque study in living patients, more effective methods and tools are needed to investigate atherosclerosis. To meet this need, a team at the University of California, Davis (Davis, CA, USA) designed the new, flexible device that combines fluorescence lifetime imaging (FLIM) and polarization-sensitive optical coherence tomography (PSOCT). This device captures rich information on the composition, shape, and microstructure of atherosclerotic plaques.
This multi-year project undertaken by the UC Davis researchers focused on developing multispectral FLIM for intravascular imaging which can reveal information like extracellular matrix composition, inflammation presence, and artery calcification levels. Previously, the researchers had combined FLIM with intravascular ultrasound; in their latest endeavor, they combined it with PSOCT. PSOCT provides detailed morphological data and measurements of birefringence and depolarization. Utilizing FLIM and PSOCT together delivers an unparalleled insight into plaque morphology, microstructure, and biochemical composition.
Developing multimodal intravascular imaging systems suitable for coronary catheterization presents technological challenges. It requires extremely thin (less than 1 mm), flexible catheters capable of navigating vessels with sharp twists and turns. A high imaging speed of about 100 frames/second is crucial to minimize cardiac motion artifacts for proper arterial imaging. To integrate FLIM and PSOCT without impairing either technique's performance, the researchers used suitable optical components. A newly designed rotary collimator with high light transmission and significant return loss was vital for effective PSOCT performance. Their catheter system matches the dimensions and flexibility of current intravascular imaging devices in clinical use.
Initial tests with artificial tissue validated the basic functionality of the new system, followed by the successful measurement of a healthy coronary artery from a pig. Subsequent in vivo tests in swine hearts showed the hybrid catheter system's capability, paving the way for clinical validation. These tests confirmed the system's ability to simultaneously gather co-registered FLIM data across four spectral bands and PSOCT information on backscattered intensity, birefringence, and depolarization. The next steps involve using the intravascular imaging system to examine plaques in ex vivo human coronary arteries. By comparing the optical signals with plaque characteristics identified by expert pathologists, the researchers aim to better understand which features FLIM-PSOCT can identify and develop predictive models. They also plan further testing towards clinical validation of the system in patients.
“Better clinical management made possible by advanced intravascular imaging tools will benefit patients by providing more accurate information to help cardiologists tailor treatment or by supporting the development of new therapies,” said research team member leader Laura Marcu from University of California, Davis.
“With further testing and development, our device could be used for longitudinal studies where intravascular imaging is obtained from the same patients at different timepoints, providing a picture of plaque evolution or response to therapeutic interventions,” added Julien Bec, first author of the paper. “This will be very valuable to better understand disease evolution, evaluate the efficacy of new drugs and treatments and guide stenting procedures used to restore normal blood flow.”
Related Links:
University of California, Davis
Latest General/Advanced Imaging News
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
- Comprehensive CT Scans Could Identify Atherosclerosis Among Lung Cancer Patients
- AI Improves Detection of Colorectal Cancer on Routine Abdominopelvic CT Scans
- Super-Resolution Technology Enhances Clinical Bone Imaging to Predict Osteoporotic Fracture Risk
- AI-Powered Abdomen Map Enables Early Cancer Detection
- Deep Learning Model Detects Lung Tumors on CT
- AI Predicts Cardiovascular Risk from CT Scans
- Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans
- New Technology Provides Coronary Artery Calcification Scoring on Ungated Chest CT Scans
- Deep Learning Model Accurately Diagnoses COPD Using Single Inhalation Lung CT Scan
- AI Model Reconstructs Sparse-View 3D CT Scan With Much Lower X-Ray Dose
- New Medical Scanner Identifies Brain Damage in Stroke Patients at Lower Magnetic Fields
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 moreNuclear Medicine
view channel
Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease, are often diagnosed only after physical symptoms appear, by which time treatment may no longer be effective.... Read more
New Molecular Imaging Test to Improve Lung Cancer Diagnosis
Lung cancer continues to be one of the leading causes of cancer-related deaths, primarily because it often goes undetected until it reaches more advanced and aggressive stages. Panitumumab, a humanized... Read more![Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242) Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242)](https://globetechcdn.com/mobile_medicalimaging/images/stories/articles/article_images/2025-02-24/Brugarolas_F8.large.jpg)
Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery
Each year, around 18,000 individuals in the United States experience spinal cord injuries, leading to severe mobility loss that often results in a lifelong battle to regain independence and improve quality of life.... Read more![Image: Autoradiography images showing binding of [18F]flortaucipir, [18F]MK6240, and [18F]PI2620 in prefrontal cortex, hippocampus, and cerebellum (A) and in whole-brain hemisphere (B) of control and AD brains (Photo courtesy of UFRGS) Image: Autoradiography images showing binding of [18F]flortaucipir, [18F]MK6240, and [18F]PI2620 in prefrontal cortex, hippocampus, and cerebellum (A) and in whole-brain hemisphere (B) of control and AD brains (Photo courtesy of UFRGS)](https://globetechcdn.com/mobile_medicalimaging/images/stories/articles/article_images/2025-02-12/F2.large.jpg)
Next-Gen Tau Radiotracers Outperform FDA-Approved Imaging Agents in Detecting Alzheimer’s
In Alzheimer’s disease, tau tangles are closely linked to cognitive decline: the greater the number of tangles, the more severe the cognitive impairment. By measuring the amount of tau in brain tissue... 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