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
CIRS

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Whole-Body MRI Combined with Deep Learning Can Detect Type 2 Diabetes

By MedImaging International staff writers
Posted on 02 Nov 2021
Print article
Image: Diabetes detection from whole-body MRI with deep learning (Photo courtesy of DZD, JCI Insight.)
Image: Diabetes detection from whole-body MRI with deep learning (Photo courtesy of DZD, JCI Insight.)

A new study has shown that type 2 diabetes can be diagnosed with a whole-body magnetic resonance imaging (MRI) scan combined with deep learning.

The study by researchers at the University of Tübingen (Tübingen, Germany) used deep learning methods and data from more than 2000 MRIs to identify patients with (pre-) diabetes. Being overweight and having a lot of body fat increase the risk of diabetes. However, not every overweight person also develops the disease. The decisive factor is where the fat is stored in the body. If fat is stored under the skin, it is less harmful than fat in deeper areas of the abdomen (known as visceral fat). How fat is distributed throughout the body can be easily visualized with whole-body MRI.

To detect such patterns of body fat distribution, the researchers used artificial intelligence (AI). They trained deep learning (machine learning) networks with whole-body MRI scans of 2,000 people who had also undergone screening with the oral glucose tolerance test (OGTT). The OGTT can screen for impaired glucose metabolism and diagnose diabetes. This is how the AI learned to detect diabetes. Further additional analysis also showed that a proportion of people with prediabetes, as well as people with a diabetes subtype that can lead to kidney disease, can also be identified via MRI scans. The researchers are now working to decipher the biological regulation of body fat distribution. One goal is to identify the causes of diabetes through new methods such as the use of AI in order to find better preventive and therapeutic options.

"We have now investigated whether type 2 diabetes could also be diagnosed on the basis of certain patterns of body fat distribution using MRI," said Prof. Robert Wagner, explaining the researchers' approach. "An analysis of the model results showed that fat accumulation in the lower abdomen plays a crucial role in diabetes detection."

University of Tübingen 


Print article
Sun Nuclear
Radcal

Channels

Radiography

view channel
Image: An AI model can automatically diagnose osteoporosis from hip X-rays (Photo courtesy of Pexels)

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

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.... Read more

Ultrasound

view channel
Image: Resona I9 ultrasound system features innovative design elements (Photo courtesy of Mindray)

Mindray’s Latest Resona I9 Ultrasound System Provides Innovation-Driven Experience

Mindray (Shenzhen, China) has launched a new ultrasound system which provides an entirely new experience, driven by innovation to address today’s clinical challenges. Mindray’s latest Resona I9 ultrasound... Read more

Imaging IT

view channel
Illustration

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more

Industry News

view channel
Image: Global diagnostic imaging market is driven by technological advancements (Photo courtesy of Pexels)

Global Diagnostic Imaging Market to Surpass USD 33 Billion by 2026

The global diagnostic imaging market is one of the most critical segments of the healthcare sector. Medical imaging helps in early detection and diagnosis of diseases at a stage when they can be easily... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.