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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Robotic 3D Ultrasound System Improves Accuracy of Liver Cancer Treatment

By MedImaging International staff writers
Posted on 27 Jan 2023
Print article
Image: Dr. Derek Cool demonstrating the new robotic 3D ultrasound system (Photo courtesy of Lawson Health)
Image: Dr. Derek Cool demonstrating the new robotic 3D ultrasound system (Photo courtesy of Lawson Health)

Liver cancer is the fourth-leading cause of cancer death in the world. Surgery is one treatment option for liver cancer, although thermal ablation which uses heat to destroy the cancerous tumor has less complications and a quicker recovery time. It can also be performed on patients who are not fit for surgery due to some reasons. However, thermal ablation requires precise needle placement to treat the cancer without damaging the vital organs and blood vessels surrounding it. Now, a new system that uses ultrasound to construct 3D-images could increase the accuracy of thermal ablation for treating liver cancer.

Generally, ultrasound or CT (computerized tomography) imaging is used to guide needle placement, although both are limited. Although ultrasound is widely available and can be performed in real-time, it delivers only 2D images. On the other hand, a CT scan generates 3D images, but not in real time and is a lengthy process. In order to create 3D ultrasound images, the new system uses a robotic cradle to move a standard ultrasound probe, collecting images and stacking them like puzzle pieces. In a simulated study, researchers at Western University (Ontario, Canada) and Lawson Health Research Institute (Ontario, Canada) used data from 14 patient cases to analyze the technology’s accuracy. They found that with standard imaging, there was complete tumor ablation in 64.3% of cases, while the new system offered complete coverage for 92.9% of cases (13 out of 14 cases). They found that in the one remaining case, the patient could benefit from increased ablation time or intensity. If the robotic ultrasound system proves to be effective, then its portability could enable more widespread use of 3D ultrasound imaging, such as in smaller health care centers. Additionally, it could also reduce imaging wait times by eliminating the need for CT scans.

“We developed a new 3D ultrasound method that shows promise in analyzing whether the complete liver tumor will be ablated by the procedure,” explained Aaron Fenster, professor at Schulich Medicine & Dentistry and scientist at Robarts Research Institute. “And we’re now using the same system to guide the needle directly into the centre of the tumor.”

Related Links:
Western University
Lawson Health Research Institute 

New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Mini C-arm Imaging System
Fluoroscan InSight FD
New
Gold Member
X-Ray QA Meter
T3 RG Pro
New
Opaque X-Ray Mobile Lead Barrier
2594M

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... 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 © 2000-2024 Globetech Media. All rights reserved.