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 

New
Gold Supplier
Electrode Solution and Skin Prep
Signaspray
Gold Supplier
Ultrasound System
FUTUS LE
New
X-Ray Meter
Cobia SENSE
Afterloader For Brachytherapy
Flexitron

Print article
Radcal

Channels

MRI

view channel
Image: The researchers are using MRI-guided radiation therapy that pairs daily MRIs with radiation treatment (Photo courtesy of Sylvester)

AI Technique Automatically Traces Tumors in Large MRI Datasets to Guide Real-time Glioblastoma Treatment

Treating glioblastoma, a prevalent and aggressive brain cancer, involves the use of radiation therapy guided by CT imaging. While this method is effective in targeting radiation, it doesn't provide real-time... Read more

Ultrasound

view channel
Image: The new ultrasound patch can measure how full the bladder is (Photo courtesy of MIT)

Ultrasound Patch Designed to Monitor Bladder and Kidney Health Could Enable Earlier Cancer Diagnosis

Bladder dysfunction and related health issues affect millions worldwide. Monitoring bladder volume is crucial for assessing kidney health. Traditionally, this requires a visit to a medical facility and... Read more

Nuclear Medicine

view channel
Image: A novel PET radiotracer facilitates early, noninvasive detection of IBD (Photo courtesy of Karmanos)

New PET Radiotracer Aids Early, Noninvasive Detection of Inflammatory Bowel Disease

Inflammatory bowel disease (IBD), which includes Crohn’s disease and ulcerative colitis, is an inflammatory condition of the gastrointestinal tract affecting roughly seven million individuals globally.... Read more

General/Advanced Imaging

view channel
Image: Artificial intelligence predicts therapy responses for ovarian cancer (Photo courtesy of 123RF)

AI Model Combines Blood Test and CT Scan Analysis to Predict Therapy Responses in Ovarian Cancer Patients

Ovarian cancer annually impacts thousands of women, with many diagnoses occurring at advanced stages due to subtle early symptoms. High-grade serous ovarian carcinoma, which accounts for 70-80% of ovarian... 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: Attendees can discover innovative products and technology in the RSNA 2023 Technical Exhibits (Photo courtesy of RSNA)

RSNA 2023 Technical Exhibits to Offer Innovations in AI, 3D Printing and More

The 109th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA, Oak Brook, IL, USA) to be held in Chicago, Nov. 26 to 30 is all set to offer a vast array of medical... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.