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




New Focus on Quantitative Assessment of Response to Therapy in Oncology Imaging

By MedImaging International staff writers
Posted on 25 Mar 2009
Print article
A new lesion management solution (LMS) has been developed to help radiologists optimize their oncology-related practices.

LMS applications provide quantitative assessment of response to therapy with automatic generation of RECIST (Response Evaluation Criteria In Solid Tumors) reports for oncology patients and computer-aided detection (CAD) and follow-up of indeterminate lung nodules. They are integrated with radiology information system/picture archiving and communication systems (RIS/PACS) for an optimized clinical workflow. Median presented this new release at the European Congress of Radiology (ECR), held in March 2009 in Vienna, Austria.

Median Technologies' (Valbonne [-Sophia Antipolis], France) LMS-Lung and LMS-Liver empower the clinicians to increase standards of cancer patient care through the communication of comprehensive follow-up reports containing quantitative information about lesion growth and allowing a better assessment of response to therapy. Those reports can be performed according to the RECIST criteria typically used for clinical trials. Also included in LMS-Lung is a CAD function for a more reliable diagnosis of lung nodules.

"Cancer patient management today suffers from a lack of coordination between the medical specialties and because oncology imaging reporting relies on qualitative instead of quantitative assessment of response to therapy,” explained Fredrik Brag, CEO of Median Technologies. "Our Lesion Management Solutions offer ways to standardize this reporting across cancer care networks for all patients thanks to their unique integration features.”

LMS applications can indeed be integrated with RIS/PACS, included in multi-site configurations, as it has been done recently in Brussels. Such integration optimizes the clinical workflow and communication between radiologists and oncologists and other referring physicians. For cancer patients, this means a more even and standardized management, with the additional benefit of a precise follow-up evaluation based on quantitative data.

RECIST is a set of published rules that define when cancer patients improve (respond), stay the same (stable), or worsen (progression) during treatments.

Median Technologies develops and markets clinical applications for oncology imaging. The company's product line, Median LMS, is a range of clinical applications for the management of cancerous or suspicious lesions diagnosed in computed tomography (CT) imaging scans. LMS applications feature LMS-Lung and LMS-Liver.

Related Links:

Median Technologies



New
Cylindrical Water Scanning System
SunSCAN 3D
Portable Color Doppler Ultrasound Scanner
DCU10
New
Specimen Radiography System
Trident HD
Digital Radiographic System
OMNERA 300M

Print article

Channels

MRI

view channel
Image: The AI tool can help interpret and assess how well treatments are working for MS patients (Photo courtesy of Shutterstock)

AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans

Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more

Nuclear Medicine

view channel
Image: In vivo imaging of U-87 MG xenograft model with varying mass doses of 89Zr-labeled KLG-3 or isotype control (Photo courtesy of L Gajecki et al.; doi.org/10.2967/jnumed.124.268762)

Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors

Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.