DEXA Predicts Diabetes in Obese Menopausal Women
|
By MedImaging International staff writers Posted on 13 Sep 2021 |
|
Image: Bone density measurements can also help diagnose diabetes in older women (Photo courtesy of Alamy)
Dual-energy x-ray absorptiometry (DEXA) beats traditional clinical obesity measures for predicting diabetes and heart disease in older women, according to a new study.
Researchers at Stanford University (CA, USA), the University of Illinois in Chicago (UIC; USA), and other institutions analyzed data on 9,744 postmenopausal women (50-79 years of age) who underwent a DEXA scan and were free of cardiovascular disease (CVD) and diabetes at baseline. The aim of the study was to see if DEXA estimates of adiposity in older women could improve risk prediction for cardiometabolic diseases better than the traditional surrogates - body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR).
The results revealed a total of 1,327 diabetes, 1,266 atherosclerotic CVD, and 292 heart failure (HF) cases, as well as 1,811 deaths from any cause accrued during a median follow-up of 17.2 years. The largest hazard ratio per adiposity measure for diabetes and atherosclerotic CVD was percentage of trunk fat (%TrF), which was also the only adiposity measure to demonstrate statistically significant improved concordance probability estimates over BMI, WC, and WHR. The study was published on August 31, 2021, in Mayo Clinic Proceedings.
“The single most striking finding of our multivariable analyses was the magnitude of association observed between %TrF and the risk of incident diabetes,” concluded lead author Deepika Laddu, PhD, of the University of Chicago. “Using DEXA to improve risk prediction for cardiometabolic diseases among patients already being screened for osteoporosis presumably would have little impact on cost of care, and has the potential to impact public health substantially.”
DEXA is a means of measuring bone mineral density (BMD) using spectral imaging. Two X-ray beams, with different energy levels, are aimed at the bones. When soft tissue absorption is subtracted, BMD can be determined from the absorption of each beam. DEXA is most often used to diagnose and monitor osteoporosis.
Related Links:
Stanford University
University of Illinois in Chicago
Researchers at Stanford University (CA, USA), the University of Illinois in Chicago (UIC; USA), and other institutions analyzed data on 9,744 postmenopausal women (50-79 years of age) who underwent a DEXA scan and were free of cardiovascular disease (CVD) and diabetes at baseline. The aim of the study was to see if DEXA estimates of adiposity in older women could improve risk prediction for cardiometabolic diseases better than the traditional surrogates - body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR).
The results revealed a total of 1,327 diabetes, 1,266 atherosclerotic CVD, and 292 heart failure (HF) cases, as well as 1,811 deaths from any cause accrued during a median follow-up of 17.2 years. The largest hazard ratio per adiposity measure for diabetes and atherosclerotic CVD was percentage of trunk fat (%TrF), which was also the only adiposity measure to demonstrate statistically significant improved concordance probability estimates over BMI, WC, and WHR. The study was published on August 31, 2021, in Mayo Clinic Proceedings.
“The single most striking finding of our multivariable analyses was the magnitude of association observed between %TrF and the risk of incident diabetes,” concluded lead author Deepika Laddu, PhD, of the University of Chicago. “Using DEXA to improve risk prediction for cardiometabolic diseases among patients already being screened for osteoporosis presumably would have little impact on cost of care, and has the potential to impact public health substantially.”
DEXA is a means of measuring bone mineral density (BMD) using spectral imaging. Two X-ray beams, with different energy levels, are aimed at the bones. When soft tissue absorption is subtracted, BMD can be determined from the absorption of each beam. DEXA is most often used to diagnose and monitor osteoporosis.
Related Links:
Stanford University
University of Illinois in Chicago
Radiation Safety Barrier
RayShield Intensi-Barrier
High-Precision QA Tool
DEXA Phantom
Multi-Use Ultrasound Table
Clinton
Pocket Fetal Doppler
CONTEC10C/CL
Latest General/Advanced Imaging News
- AI-Based Tool Accelerates Detection of Kidney Cancer
- New Algorithm Dramatically Speeds Up Stroke Detection Scans
- 3D Scanning Approach Enables Ultra-Precise Brain Surgery
- AI Tool Improves Medical Imaging Process by 90%
- New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
- AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
- Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
- Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
- Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
- New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
- CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
- First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
- AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
- CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
Channels
Radiography
view channel
AI Detects Early Signs of Aging from Chest X-Rays
Chronological age does not always reflect how fast the body is truly aging, and current biological age tests often rely on DNA-based markers that may miss early organ-level decline. Detecting subtle, age-related... Read more
X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
Detecting early-stage cancer or subtle changes deep inside tissues has long challenged conventional X-ray systems, which rely only on how structures absorb radiation. This limitation keeps many microstructural... Read more
MRI
view channel
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read more
Ultrasound
view channel
Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
Chronic conditions such as hypertension and heart failure require close monitoring, yet today’s ultrasound imaging is largely confined to hospitals and short, episodic scans. This reactive model limits... Read more
Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
Producing clear 3D images of deep blood vessels has long been difficult without relying on contrast agents, CT scans, or MRI. Standard ultrasound typically provides only 2D cross-sections, limiting clinicians’... Read more
Nuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read more
Imaging IT
view channel
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
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
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more