Advancing ultrasound microvessel imaging and AI to improve cancer detection

Health News
Tags :
Health News
Share This :

Advancing ultrasound microvessel imaging and AI to improve cancer detection
Credit: Mayo Clinic News Network

Ultrasound—a technology that uses sound waves to produce an image—is commonly used to monitor the development of a baby as it grows inside its mother. But ultrasound imaging also can be used to investigate suspicious masses of tissue and nodules that may be cancerous.

Tumors consist not only of cancer cells but also a matrix of small blood vessels, or microvessels, that cannot be seen in the images produced by conventional ultrasound machines. To solve this problem, physician-scientist Azra Alizad, M.D., and biomedical engineering scientist Mostafa Fatemi, Ph.D., teamed up at Mayo Clinic to design and study a tool that may improve the resolution of ultrasound imaging.

As demonstrated in research findings published last April in European Radiology, they developed high-resolution ultrasound imaging software, compatible with many ultrasound machines, that could exponentially improve both the detail and quality of images.

The investigational software, which they’ve named quantitative high-definition microvessel imaging (q-HDMI), has been evaluated to capture high-resolution 2D and 3D images of microvessels as small as 150 microns, roughly twice the width of a human hair.

“If we can visualize and capture the microvessel in the earliest stages of cancer, we can better diagnose and treat it earlier, which improves the outcome for the patient,” says Dr. Alizad, who specializes in ultrasound technology for cancer imaging.

Artificial intelligence helps detect what we cannot see

In addition, the researchers identified a series of biomarkers representing specific characteristics of tiny vessels, such as shape, pattern, irregularity and complexity, and packaged them into an algorithm that can sort the image data into benign or malignant masses.

“This technology provides a quantitative value that shows the probability of malignancy,” Dr. Fatemi says. “It’s a tool to extract information in a way that can be useful to clinicians.”

Credit: Mayo Clinic News Network

Applying it in practice

In a clinical study published last November in Breast Cancer Research, the researchers showed that their new q-HDMI tool combined with artificial intelligence (AI) was able to detect a very small, 3-millimeter-wide, malignant breast cancer mass comprised of miniscule vessels in a 40-year-old woman. Finding and treating cancer lesions when they are this size before they spread, or metastasize, can be lifesaving.

“The questions in radiology really are: benign or malignant? And if it’s suspicious, how concerned should we be?” Dr. Fatemi says.

To help radiologists answer these questions, the researchers applied their software and algorithm to further analyze suspicious breast masses from 521 patients who already had received conventional ultrasound imaging. The results were astounding. The new technology yielded a nearly 100% rate of accuracy in determining malignant versus benign masses, regardless of the tumor size.

More recently, the researchers analyzed thyroid nodules from 92 patients. Thyroid nodules are common and it is often hard to differentiate between cancerous and non-cancerous ones through imaging. Yet the prevalence of thyroid cancer has increased over the last few decades.

“With conventional ultrasound images, physicians can diagnose whether a thyroid nodule is benign or malignant with only about 35%–75% accuracy,” Dr. Alizad says. That’s why physicians often opt to perform thyroid biopsies, which enable them to more definitively determine if a thyroid nodule is a cause for concern.

The researchers identified 12 biomarkers that can differentiate benign from malignant thyroid tissues. They programmed the AI-powered algorithm with these biomarkers, which sorted the images and had an 84% rate of accuracy. These results were published in the journal Cancers and highlighted by the National Institutes of Health.

“If it is cancer, we definitely want to know that. But if we can determine if a thyroid nodule is benign without even having to do a biopsy, that is even better as it spares the patient from the financial and physical burdens associated with an unnecessary benign biopsy,” Dr. Alizad says.

The researchers see that their quantitative tool could be particularly useful in parts of the world where there is limited expertise and resources, such as rural areas and developing countries.

They also are collaborating with oncologists to enable them to use the q-HDMI tool to better monitor the effectiveness of cancer treatments and help them adjust therapies for individual patients in real time.

More information:
Melisa Kurti et al, Quantitative Biomarkers Derived from a Novel Contrast-Free Ultrasound High-Definition Microvessel Imaging for Distinguishing Thyroid Nodules, Cancers (2023). DOI: 10.3390/cancers15061888

Advancing ultrasound microvessel imaging and AI to improve cancer detection (2023, October 21)
retrieved 21 October 2023

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.

Source link

Leave a Reply

Your email address will not be published. Required fields are marked *

Popular News Posts


Our Exclusive Products

Our Store

Our mission is simple, offer quality products that make our customers lives better at a reasonable price, while ensuring a hassle-free shopping experience. This means that before we bring a product to market, we test it to ensure that it meets our high-level quality standards. Our customer service team understand our products and can answer most every product related question quickly and efficiently. We strive everyday to meet and exceed our customers’ expectations of quality and support! Should we ever fail to meet this expectation – contact us and we will make it right!

Our Value: We are proud of our product and accomplishments, but we typically don’t shout it from the rooftop. Instead, we prefer to let our product and customers do the talking. Our core values can be recognized in our product. The qualities we strive for include:

Pragmatism: We design simple, useful solutions for common needs
Quality: From design to final product, we strive for durable solutions that work
Originality: Creativity and innovation are what makes our product unique
Design: Our minimalist and bold design language focuses on functionality and simplicity that is timeless

0 +

Top Rated Products

0 +

Happy Customers