MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

MRI May Help to Diagnose, Stage, and Treat Diabetes

By MedImaging International staff writers
Posted on 26 Aug 2009
Noninvasive magnetic resonance imaging (MRI) may aid clinicians in the early diagnosis, staging, and treatment of diabetes.

Research performed at two Boston, MA, USA-based institutions, Massachusetts General Hospital and Harvard Medical School, is the first study of its kind to apply noninvasive imaging techniques to diabetes research.

"With noninvasive MRI we have the ability to evaluate beta cell mass, a major factor of insulin secretion that is significantly reduced in type II diabetes and almost gone in type I,” said Anna Moore, M.D., lead author of the study. "We are also able to detect inflammation of the pancreas and vascular changes associated with type I and type II diabetes. This opens a huge area that is closed right now. Knowing the number of functional beta cells left would allow physicians to develop the most appropriate treatment plans for their patients. It would also allow them to respond, change, or manipulate those treatment plans at any time.”

This study was published in the August 2009 issue of the American Journal of Roentgenology.

"Noninvasive MRI could no doubt tremendously assist in achieving insulin independence in patients with diabetes,” concluded Dr. Moore.

Related Links:

Massachusetts General Hospital
Harvard Medical School


Digital X-Ray Detector Panel
Acuity G4
Ultrasound Needle Guidance System
SonoSite L25
Ultrasound-Guided Biopsy & Visualization Tools
Endoscopic Ultrasound (EUS) Guided Devices
Computed Tomography System
Aquilion ONE / INSIGHT Edition

Channels

General/Advanced Imaging

view channel
CT and fused SPECT-CT images L to R of representative healthy control, pulmonary fibrosis participant & hypersensitivity pneumonitis participant (Image courtesy of SNMMI)

New SPECT/CT Method Differentiates Inflammation from Fibrosis in Interstitial Lung Disease

Interstitial lung disease (ILD) encompasses more than 200 disorders that inflame or scar the lung interstitium and can lead to progressive respiratory failure. Determining whether active inflammation is... Read more

Imaging IT

view channel
Image: Researchers develop a vision-language model trained on large-scale data to generate clinically relevant findings from chest computed tomography images through visual question answering (Ms. Maiko Nagao from Meijo University, Japan)

Interactive AI Tool Supports Explainable Lung Nodule Assessment

Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more

Industry News

view channel
Image: MIM KineticID is 510(k)-pending software for dynamic PET imaging and kinetic modeling, enabling time-based radiotracer analysis for clinical and research decisions (Photo courtesy of GE Healthcare)

GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026

Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more