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




AI Supported Detection of Cerebral Multiple Sclerosis Lesions Cuts Radiologic Reporting Times

By MedImaging International staff writers
Posted on 13 Nov 2024
Print article
Image: The study found a reduction in reporting time through AI-supported detection of cerebral MS lesions (Photo courtesy of mediaire)
Image: The study found a reduction in reporting time through AI-supported detection of cerebral MS lesions (Photo courtesy of mediaire)

Multiple Sclerosis (MS) is a common autoimmune disorder that affects the central nervous system. MRI plays an essential role in both diagnosing and monitoring disease progression and treatment responses. As such, reviewing cerebral MRIs for MS patients has become a routine part of clinical practice. To support reporting, numerous commercial software solutions for automated lesion detection have been introduced in the market. Now, a new study has highlighted the significant improvements in radiologic reporting for MS patients through the use of artificial intelligence (AI)-enhanced software. Published in the European Journal of Radiology, the study emphasizes significant reductions in reporting times and improved efficiency in detecting cerebral lesions.

In the study, researchers at the University Hospital of Schleswig-Holstein (Schleswig-Holstein, Germany) evaluated the effect of mediaire GmbH’s (Berlin, Germany) mdbrain software with AI-supported lesion detection on radiologic reporting. mdbrain is designed to automatically label, visualize, and quantify 3D MRI data of the head, thus automating the previously manual tasks of identifying, labeling, and calculating the volume of segmented brain structures in MRI images. The volumetric data, combined with image data, aids radiologists in detecting neurological disorders. The software currently offers modules for brain volumetry, lesion characterization, aneurysm detection, and tumor differentiation.

The study tested mdbrain’s effectiveness on 50 patient cases and found a substantial reduction in average reporting times for both initial and follow-up evaluations. Specifically, mdbrain shortened reporting time by 90 seconds for initial assessments and 75 seconds for longitudinal assessments—about one-third of the time required for reporting without AI assistance. The results also demonstrated that the software maintains high interrater reliability, matching the accuracy of traditional methods while significantly accelerating the diagnostic process. In addition to automating lesion detection, mdbrain also provides accurate lesion type differentiation, which is critical for diagnosing and tracking MS progression. This research shows how integrating mdbrain into radiology workflows can speed up MRI reporting, offering significant potential for enhancing MS clinical management, improving workflow efficiency, and enabling faster treatment decisions.

Related Links:
University Hospital of Schleswig-Holstein 
mediaire GmbH

New
Gold Member
X-Ray QA Meter
T3 AD Pro
Portable X-ray Unit
AJEX130HN
New
Imaging Table
CFPM201
New
Ultrasound Imaging System
P12 Elite

Print article
Radcal

Channels

Radiography

view channel
Image: The CT scanner prototype eliminates the need for physical compression of the breast (Photo courtesy of Quion Lowe and Lisa Dahm/U of A Cancer Center)

Novel Breast Cancer Screening Technology Could Offer Superior Alternative to Mammogram

Breast cancer represents 15.5% of new cancer cases and 7% of cancer-related deaths in the United States. Approximately 13.1% of women will be diagnosed with breast cancer during their lifetime.... Read more

Ultrasound

view channel
Image: A prototype of the developed device (Photo courtesy of KTU)

Ultrasound Device Non-Invasively Improves Blood Circulation in Lower Limbs

Impaired blood circulation in the lower limbs is a common health issue among the elderly and is a significant complication of diabetes, often referred to as diabetic foot. This condition arises due to... Read more

Nuclear Medicine

view channel
Image: The Pixclara PET imaging agent for glioma could provide patients with greater diagnostic clarity (Photo courtesy of Telix)

New Imaging Agent to Drive Step-Change for Brain Cancer Imaging

Gliomas are highly diffusely infiltrative tumors that impact the surrounding brain tissue. They represent the most prevalent type of central nervous system (CNS) neoplasm originating from glial cells,... 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.