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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




MRI-Based Technology Assesses Muscle Composition

By MedImaging International staff writers
Posted on 21 Dec 2021
Print article
Image: A graphical MAsS score of visceral fat (L) and muscle (R) (Photo courtesy of AMRA medical)
Image: A graphical MAsS score of visceral fat (L) and muscle (R) (Photo courtesy of AMRA medical)
Novel software can analyze a patient with suspected sarcopenia using a rapid neck-to-knee magnetic resonance imaging (MRI) scan.

The AMRA medical (Linköping, Sweden) Muscle Assessment Score (MAsS) Scan is designed to measure volumetric changes in muscle mass and the diffusion of fat infiltration into the muscle. The scanning protocol is based on symmetrical chemical shift imaging, also known as two-point Dixon imaging. Acquired images consist of fat and water image pairs, as reconstructed by the software. The images are automatically calibrated and corrected for variations caused by inhomogeneity in the magnetic field and coil sensitivity.

The resulting report contains the MAsS scan, anatomic and color-coded images, and precise body composition measurements with contextual insights based on AMRA's reference database. The platform-agnostic software works across all major 1.5 and 3T MR scanners, such that output across scanners is standardized and calibrated using the fat signal as an internal reference. The value of each pixel shows the percentage of fat in it; partial-volume effects do not affect quantification, and thin layers of fat (or even diffuse infiltration) contribute to fat quantification.

In addition, AMRA automates the classification and quantification of fat and muscle groups, with segmentation based on registration between the image data volume and manually segmented prototype volumes. Body fat is divided into subcutaneous, visceral, and ectopic compartments; muscle groups are automatically classified, and the volume of each individual muscle group is obtained. Additionally, the amount of fat in any user-defined region, (e.g. a muscle or an internal organ) can be calculated also for diffuse fat infiltration.

“The AMRA MAsS Scan will greatly benefit patients by allowing clinicians to assess sarcopenia and improve patient outcomes an objectively and accurately assess muscle quality and take action,” said Eric Converse, CEO of AMRA Medical. “The beauty of the report is that it is easy-to-understand, it creates a common language among clinicians with the muscle assessment score, and adds only minutes to an already prescribed MRI.”

Sarcopenia (from the Greek, meaning "poverty of flesh") is the degenerative loss of skeletal muscle mass. Sarcopenia is characterized first by muscle atrophy, along with a reduction in muscle tissue "quality," caused by such factors as replacement of muscle fibers with fat, an increase in fibrosis, changes in muscle metabolism, oxidative stress, and degeneration of the neuromuscular junction. Combined, these changes lead to progressive loss of muscle function and frailty. Sarcopenia can be thought of as a muscular analog of osteoporosis, also caused by inactivity and counteracted by exercise. The combination of osteoporosis and sarcopenia results in the significant frailty often seen in the elderly population.

Related Links:
AMRA medical

New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
40/80-Slice CT System
uCT 528
New
Gold Member
X-Ray QA Meter
T3 RG Pro
New
Diagnostic Ultrasound System
MS1700C

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... 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
Copyright © 2000-2024 Globetech Media. All rights reserved.