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




Artificial Intelligence (AI) Can Diagnose Osteoporosis from Hip X-Rays

By MedImaging International staff writers
Posted on 26 May 2022
Print article
Image: An AI model can automatically diagnose osteoporosis from hip X-rays (Photo courtesy of Pexels)
Image: An AI model can automatically diagnose osteoporosis from hip X-rays (Photo courtesy of Pexels)

People with osteoporosis, a skeletal disease that thins and weakens bones, are susceptible to fracture associated with bone fragility, resulting in poor quality of life and increased mortality. Early screening for osteoporosis with dual-energy X-ray absorptiometry (DXA) to assess bone mineral density is an important tool for timely treatment that can reduce the risk of fractures. However, the low availability of the scanners and the relatively high cost has limited its use for screening and post-treatment follow-up. In contrast, plain X-ray is widely available and is used frequently for various clinical indications in daily practice. Despite these attributes, it has been relatively underutilized in the management of osteoporosis because diagnosing osteoporosis using only X-rays is challenging even for an experienced radiologist. Now, a new method that combines imaging information with artificial intelligence (AI) can diagnose osteoporosis from hip X-rays and could help speed treatment to patients before fractures occur.

Researchers at Seoul National University Hospital (Seoul, Korea) have developed a model that can automatically diagnose osteoporosis from hip X-rays. The method combines radiomics, a series of image processing and analysis methods to obtain information from the image, with deep learning, an advanced type of AI. Deep learning can be trained to find patterns in images associated with disease.

The researchers developed the deep-radiomics model using almost 5,000 hip X-rays from 4,308 patients obtained over more than 10 years. They developed the models with a variety of deep, clinical and texture features and then tested them externally on 444 hip X-rays from another institution. The deep-radiomics model with deep, clinical, and texture features was able to diagnose osteoporosis on hip X-rays with superior diagnostic performance than the models using either texture or deep features alone, enabling opportunistic diagnosis of osteoporosis.

“For patients with hip pain, radiologists often evaluate only image findings that may cause pain, such as fractures, osteonecrosis and osteoarthritis,” said study author Hee-Dong Chae, M.D., from the Department of Radiology at Seoul National University Hospital. “Although X-ray images contain more information about the healthiness of the patient’s bones and muscles, this information is often overlooked or considered less important.”

“Our study shows that opportunistic detection of osteoporosis using these X-ray images is advantageous, and our model can serve as a triage tool recommending DXA in patients with highly suspected osteoporosis,” Dr. Chae added.

Related Links:
Seoul National University Hospital 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
MRI System
uMR 588
New
Digital Radiography Generator
meX+20BT lite
New
Brachytherapy Planning System
Oncentra Brachy

Print article

Channels

Nuclear Medicine

view channel
Image: The AI system uses scintigraphy imaging for early diagnosis of cardiac amyloidosis (Photo courtesy of 123RF)

AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging

Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read more

General/Advanced Imaging

view channel
Image: The Cinematic Reality app enables interaction with realistic renderings of human anatomy (Photo courtesy of Siemens)

AR Application Turns Medical Scans Into Holograms for Assistance in Surgical Planning

Siemens Healthineers (Erlangen, Germany) has launched an app designed for Apple Vision Pro that allows users including surgeons, medical students, or patients to view immersive, interactive holograms of... 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: Samsung Medison CEO Mr. Yongkwan Kim and Bracco Imaging CEO Dr. Fulvio Renoldi Bracco endorsed a MoU agreement (Photo courtesy of Bracco Group)

Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement

Samsung Medison (Seoul, South Korea) and Bracco Imaging (Milan, Italy) have entered into a Memorandum of Understanding (MoU) agreement to pioneer a new area for diagnostic ultrasound devices and contrast agents.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.