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




Lung Cancer Screening Management Solution Revealed at RSNA 2014

By MedImaging International staff writers
Posted on 29 Dec 2014
Print article
A comprehensive Computed Tomography (CT) solution for early-stage detection of lung cancer, and reduced mortality from the disease was revealed at the Radiological Society of North America Annual Meeting (RSNA) 2014.

The solution includes consultative services and marketing to reach high-risk patients, control software, and customizable workflow tools with customized clinical protocols and interfaces to hospital systems such as the Hospital Information System (HIS), Electronic Medical Record (EMR), Picture Archiving and Communication System (PACS), and Radiological Information System (RIS). In addition the solution includes software tools for review and reporting of CT lung images, and an educational portal with references and courses, and a tool to measure and report the performance of radiologists. The solution was presented by Royal Philips (Amsterdam, the Netherlands).

Early detection is critical for lung cancer survival, and screening with low-dose CT was shown, in a US National Lung Cancer Screening Trial (NCST) in 2011, to reduce mortality from lung cancer among heavy smokers by 20%. According to Dr. Andrea McKee, MD, chair of the Radiation Oncology Department at Lahey Hospital and Medical Center, Burlington (Burlington, MA, USA),"Lung cancer has a significant mortality rate in the US, and given the large number of heavy smokers in the aging baby boomer population, we can expect to see that number rise in the coming years, Philips' innovation in lung screening aligns with the industry's focus on preventative screening and taking a more holistic approach to patient care."

Related Links:

Philips
Lahey Hospital and Medical Center


New
Gold Member
X-Ray QA Meter
T3 AD Pro
Radiation Therapy Treatment Software Application
Elekta ONE
Radiology Software
DxWorks
Portable Color Doppler Ultrasound Scanner
DCU10

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

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... 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
Copyright © 2000-2024 Globetech Media. All rights reserved.