and University Hospitals Health System, have joined
together to form the Early Lung Disease Detection Alliance (ELDDA), a
multidisciplinary research and commercialization program that will develop,
test (through clinical trials), and bring to market new image-analysis
systems that permit the early detection of lung cancer and other lung
diseases. This computer-aided detection (CAD) system will be applied to the
most widely available and used imaging exam, the chest x-ray. The goal is
to not only advance the early detection of lung cancer and other diseases
but also accelerate the commercialization of computer-aided detection,
image interpretation, and multidisciplinary applications of computer
science and medical diagnostics.
The current retrospective study is a multiple-reader multiple-cases
study involving six expert chest radiologists, six general radiologists,
and six pulmonologists to assess the usefulness of CAD. Each reader will
read 200 cases of suspected lung cancer of which about 100 had cancer and
100 did not. All cases were CT confirmed. All cancers are biopsy or
surgically confirmed.
The study is expected to be completed by the end of the year.
Investigators from Cleveland Clinic include Dr. Phillips, Moulay Meziane,
M.D., Section Head of Chest Imaging, Peter Mazzone, M.D., Staff Pulmonary
Medicine and Nancy Obuchowski, Ph.D., Vice Chair, Department of
Quantitative Health Services.
Previous Studies Establish Value of OnGuard(TM) Chest X-Ray CAD
-- Fifteen community-based board-certified radiologists read chest X-ray
images without and with chest X-ray CAD. Forty-two percent and 22
percent of nodules sized 9-14 mm and 20-27 mm, respectively, were
missed. Ten of the 15 radiologists improved their detection rate
using chest X-ray CAD; they benefited in detecting Stage I cancers of
all sizes between 9 and 30 mm (10 percent improvement) and benefited
most
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Page: 1 2 3 4 5 6 7 Related medicine technology :1.
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