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

Download Mobile App




Researchers Determine Predicting Factors of Positive Lung Cancer Diagnoses in Chest X-Rays

By MedImaging International staff writers
Posted on 17 Jun 2009
A study determined several predictors of a positive lung cancer diagnosis after having an abnormal chest radiograph.

Dr. Martin Carl Tammemag, from Brock University (St. Catharine's, Ontario, Canada), and his team of US researchers from Georgetown University (Washington DC, USA) and the University of Minnesota (Minneapolis–St. Paul, USA) examined the chest radiographs of 12,314 individuals obtained through the U.S. National Cancer Institute's (NCI; Bethesda, MD, USA) Prostate Lung Colorectal Ovarian Cancer Screening Trial (PLCO). They found that older age, lower education levels, and a longer smoking history were all associated with a true-positive diagnosis for lung cancer in those individuals with an abnormal screening chest radiograph.

A true positive chest X-ray represents an accurate reading for lung cancer. Other factors that contributed to a true-positive diagnosis include a family history of lung cancer and a suspicious mass in the upper/middle chest region.

"The factors will be particularly valuable to those health care providers and clinicians identifying patients with abnormal chest X-rays that might indicate possible lung cancer,” said Dr. Tammemag. "An earlier diagnosis is expected to lead to a more favorable outcome for the patient, so it is our hope that predictors will assist clinicians in calling for the most necessary and timely tests.”

The study's findings were published in the June 2009 issue of the Journal of Thoracic Oncology.

Related Links:
Brock University
Georgetown University
University of Minnesota
U.S. National Cancer Institute

Computed Tomography System
Aquilion ONE / INSIGHT Edition
Floor‑Mounted Digital X‑Ray System
MasteRad MX30+
Ultrasonic Pocket Doppler
SD1
X-Ray Illuminator
X-Ray Viewbox Illuminators

Channels

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
Copyright © 2000-2026 Globetech Media. All rights reserved.