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
GLOBETECH PUBLISHING LLC

Download Mobile App




AI Predicts Spinal Fractures in Cancer Patients Using CT/MRI Scans

By MedImaging International staff writers
Posted on 06 May 2022
Print article
Image: AI can predict bone fractures in cancer patients (Photo courtesy of Pexels)
Image: AI can predict bone fractures in cancer patients (Photo courtesy of Pexels)

One of the biggest clinical concerns that cancer patients face is the risk of spinal fractures due to spinal metastasis - when disease spreads from other places in the body to the spine - which can lead to severe pain and spinal instability. As medicine continues to embrace machine learning, a new study suggests how scientists may use artificial intelligence (AI) to predict how cancer may affect the probability of fractures along the spinal column.

While many of the changes the body undergoes when exposed to cancerous lesions are still a mystery, with the power of computational modeling, scientists can get a better idea of what’s happening to the spine. The study by researchers at The Ohio State University (Columbus, OH, USA) demonstrated how the researchers trained an AI-assisted framework called ReconGAN to create a digital twin, or a virtual reconstruction of a patient’s vertebra. Unlike 3D printing, where a virtual model is turned into a physical object, the concept of a digital twin involves building a computer simulation of its real-life counterpart without creating it physically. Such a simulation can be used to predict an object or system’s future performance - in this case, how much stress the vertebra can take before cracking under pressure.

By training ReconGAN on MRI and micro-CT images obtained by taking slice-by-slice pictures of vertebrae acquired from a cadaver, researchers were able to generate realistic micro-structural models of the spine. Using their simulation, the team was also able to virtually enlarge the model, a capability the study says is imperative to understanding and incorporating changes into the entirety of a vertebra’s geometric shape. In this case, the researchers used CT/MRI scans from a 51-year-old female lung cancer patient whose cancer had metastasized to simulate what might happen if cancer weakened some of the vertebrae and how that would affect how much stress the bones could take before fracturing.

The model predicted how much strength parts of the vertebra would lose as a result of the tumors, as well as other changes that could be expected as the cancer progressed. Some of their predictions were confirmed by clinical observations in cancer patients. For a field like orthopedics, using a non-invasive tool like the digital twin can help surgeons understand new therapies, simulate different surgical scenarios and envision how the bone will change over time, either due to bone weakness or to the effects of radiation. The digital twin can also be modified to patient-specific needs, according to the researchers. But this was just a feasibility study and much more work is needed, say the researchers. ReconGAN was trained on data from only one cadaveric sample, and more data is needed for AI to be perfected.

“Spinal fracture increases the risk of patient death by about 15%,” said Soheil Soghrati, co-author of the study and associate professor of mechanical and aerospace engineering at The Ohio State University. “By predicting the outcome of these fractures, our research offers medical experts the opportunity to design better treatment strategies, and help patients make better-informed decisions. What really makes the work in a distinct way is how detailed we were able to model the geometry of the vertebra. We can virtually evolve the same bone from one stage to another.”

“The ultimate goal is to develop a digital twin of everything a surgeon may operate on,” added Soghrati. “Right now, they’re only used for very, very challenging surgeries, but we want to help run those simulations and tune those parameters even more.”

Related Links:
The Ohio State University 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
PACS Workstation
CHILI Web Viewer
New
Dose Area Product Meter
VacuDAP
New
Oncology Information System
RayCare

Print article
Radcal

Channels

Radiography

view channel
Image: LumiGuide enables doctors to navigate through blood vessels using light instead of X-ray (Photo courtesy of Philips)

3D Human GPS Powered By Light Paves Way for Radiation-Free Minimally-Invasive Surgery

In vascular surgery, doctors frequently employ endovascular surgery techniques using tools such as guidewires and catheters, often accessing through arteries like the femoral artery. This method is known... Read more

MRI

view channel
Image: The VR visualization platform provides patients and surgeons with access to real-time 3D medical imaging (Photo courtesy of Avatar Medical)

VR Visualization Platform Creates 3D Patient Avatars from CT and MR Images in Real-Time

Surgeons and patients must currently rely on black and white medical images interpreted by radiologists. This limitation becomes more pronounced in complex surgeries, leading to issues such as patient... Read more

Ultrasound

view channel
Image: Intravascular ultrasound provides a more accurate and specific picture of the coronary arteries (Photo courtesy of 123RF)

Intravascular Imaging Significantly Improves Outcomes in Cardiovascular Stenting Procedures

Individuals with coronary artery disease, which involves plaque accumulation in the arteries leading to symptoms like chest pain, shortness of breath, and heart attacks, often undergo a non-surgical procedure... Read more

Nuclear Medicine

view channel
Image: The PET imaging technique can noninvasively detect active inflammation before clinical symptoms arise (Photo courtesy of 123RF)

New PET Tracer Detects Inflammatory Arthritis Before Symptoms Appear

Rheumatoid arthritis, the most common form of inflammatory arthritis, affects 18 million people globally. It is a complex autoimmune disease marked by chronic inflammation, leading to cartilage and bone... 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

Industry News

view channel
Image: The acquisition will expand IBA’s medical imaging quality assurance offering (Photo courtesy of Radcal)

IBA Acquires Radcal to Expand Medical Imaging Quality Assurance Offering

Ion Beam Applications S.A. (IBA, Louvain-La-Neuve, Belgium), the global leader in particle accelerator technology and a world-leading provider of dosimetry and quality assurance (QA) solutions, has entered... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.