Thoracic Imaging: Page 175

Canadian lung CAD cuts false positives

By Eric Barnes

At the Computer Assisted Radiology and Surgery (CARS) conference in Osaka, researchers from Canada presented a CAD algorithm that can distinguish between faint and similarly shaped lung structures, reducing false positives with the aid of a hybrid learning scheme that uses both linear discriminant analysis and fuzzy c-means clustering.

July 23, 2006

Strict protocol increases efficacy of CT screening for lung cancer

By Peggy Peck

The true value of CT screening for lung cancer awaits results of the National Cancer Institute's National Lung Cancer Screening trial. But data from other smaller trials are available now to help guide use of CT for lung cancer screening. The findings from one of the largest trials to date, conducted by Italian researchers, were presented at the recent American Society of Clinical Oncology (ASCO) meeting.

July 17, 2006

Guardian begins clinical evaluation of 3i technology

By AuntMinnie.com staff writers

RIS/PACS vendor Guardian Technologies International of Herndon, VA, has agreed to have PACS pioneer H. K. (Bernie) Huang clinically evaluate the company's 3i intelligent imaging analysis algorithm for medical imaging.

July 12, 2006

JAMA study reveals gender differences in lung cancer rates and survival

By Wayne Forrest

New data from the Early Lung Cancer Action Project (ELCAP) reveal significant differences between men and women in rates of lung cancer prevalence and survival, according to a study published today in the Journal of the American Medical Association.

July 10, 2006

Emphysema yields to computer-aided detection

By Eric Barnes

OSAKA - Emphysema is the most common cause of respiratory deaths, but it is not particularly easy to diagnose. On Friday at the Computer Assisted Radiology and Surgery (CARS) meeting, researchers from Japan discussed the development and testing of a computer-aided detection (CAD) scheme to help automate the diagnosis of emphysema with CT.

July 1, 2006

X-ray CAD aids in early lung cancer detection

By Erik L. Ridley

Using a computer-aided detection (CAD) system for digital chest x-rays can help radiologists detect early resectable lung cancer, according to an article published online in the Journal of Digital Imaging.

June 21, 2006

Hemodynamic CT studies of stage T1 lung cancer help predict hilar or mediastinal nodal metastasis

By Radiology Review

(Radiology Review) Korean radiologists found that the peak and net enhancement and maximum enhancement ratio on dynamic CT can be used to predict hilar or mediastinal nodal metastasis in patients with stage T1 lung cancers.

June 19, 2006

Lung CAD may lead radiologists down the wrong path

By Eric Barnes

SAN FRANCISCO - One thing seems certain as lung computer-aided detection (CAD) systems move increasingly into clinical use: radiologists find more potentially malignant nodules with CAD than without it. But could CAD also be a case of too much of a good thing?

June 15, 2006

R2 debuts new ImageChecker CT Lung CAD

By AuntMinnie.com staff writers

Computer-aided detection (CAD) firm R2 Technology has released version 2.1 of its ImageChecker CT Lung CAD system.

June 14, 2006

Image-guidance system goes beyond bronchoscopy to access lung masses

By Jill Stein

A novel imaging technology is a safe and effective navigation tool to target lung areas that are beyond the reach of the standard bronchoscope, according to a study presented at the 2006 American Thoracic Society (ATS) meeting in San Diego.

June 13, 2006

U.K. group finds high miss rate for lung cancers on chest x-rays

By Jill Stein

When CT in unavailable, chest x-ray must be relied on for the detection of lung cancer. As a result, a low miss rate is essential. British respiratory specialists conducted a retrospective study at their hospital to determine their miss rate for lung lesions on chest x-ray, as well as how well they did on following up suspicious radiographic findings.

June 8, 2006

CAD improves lung nodule detection

By Erik L. Ridley

Combining computer-aided detection (CAD) technology with radiologist review of low-dose CT scans was necessary to identify all true pulmonary nodules in a recent study, according to an article in the May issue of the American Journal of Roentgenology.

May 31, 2006

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