COMPUTER-AIDED POLYP DETECTION SOFTWARE IN COMBINATION WITH VIRTUAL COLONOSCOPY IS AS EFFECTIVE AS TRADITIONAL OPTICAL COLONOSCOPY

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U.S. Department of Health and Human Services 
NATIONAL INSTITUTES OF HEALTH 
NIH News 
NIH Clinical Center (CC) 
http://clinicalcenter.nih.gov/

FOR IMMEDIATE RELEASE: Thursday, December 1, 2005

CONTACT: Shana Potash, Clinical Center Communications, 301-496-2563,
sp449n@xxxxxxx
 
COMPUTER-AIDED POLYP DETECTION SOFTWARE IN COMBINATION WITH VIRTUAL
COLONOSCOPY IS AS EFFECTIVE AS TRADITIONAL OPTICAL COLONOSCOPY

A study led by the National Institutes of Health Clinical Center finds
that computer-aided detection (CAD) software in conjunction with a
procedure commonly called virtual colonoscopy can deliver results
comparable to conventional optical colonoscopy for detecting the most
worrisome types of polyps.

The study is published in the December 2005 issue of the American
Gastroenterological Association journal, "Gastroenterology". The work
also was presented November 29, 2005 at the annual meeting of the
Radiological Society of North America.

Virtual colonoscopy (CT colonography) is a minimally invasive
radiological procedure. The colon is viewed using a CT scan so there is
no need for sedation or insertion of a colonoscope, but a full bowel
prep still is required. Virtual colonoscopy is under investigation as a
screening method for colorectal cancer, which is the second leading
cause of cancer death in America.

"Proper screening can prevent colorectal cancer. It is important for the
scientific and medical community to explore and perfect methods that may
encourage more people to get checked," says Ronald M. Summers, M.D.,
Ph.D., the lead author of the study. Dr. Summers is a senior
investigator and staff radiologist at the NIH Clinical Center. He is the
chief of the clinical image processing service and chief of the virtual
endoscopy and computer-aided diagnosis laboratory in the Department of
Radiology.

Virtual colonoscopy uses a CT scan to create two- and three-dimensional
images of the colon. The process produces 600 to 1,000 images that are
interpreted by a radiologist. Computer-aided detection software then
serves as a second set of eyes and identifies sites that warrant closer
inspection. The radiologist again reviews these sites to make the final
diagnosis.

This study set out to assess the performance and sensitivity of CAD for
virtual colonoscopy in a large screening group of patients with no
symptoms of colorectal cancer.

After training the CAD system on the virtual colonoscopies of a separate
group of 394 patients, Dr. Summers and his colleagues used the CAD
system on 792 patients at three medical centers. In one day, the
patients underwent both virtual colonoscopy and conventional optical
colonoscopy which is considered the gold standard for screening. The
procedures were done to detect adenomas, benign growths that may become
cancerous if not removed.

When CAD was applied to each CT colonography scan, it detected 89.3
percent of patients having adenomas 10mm or larger, compared to 85.7
percent for conventional colonoscopy. CAD detected 85.4 percent of
patients having adenomas 8mm or larger, compared to 89.6 percent for
conventional colonoscopy. CAD's false positive rates were 2.1 false
positive detections per patient for polyps 10 mm or greater and 6.7
false positive detections per patient for polyps 8 mm or greater. A
review of the false positives led the researchers to conclude that most
would be easily identifiable as such.

CAD detected cancer in two patients while optical colonoscopy initially
detected only one. The colonoscopist found the second cancer after
getting word that virtual colonoscopy had detected an abnormality.

"The fact that this worked so well on a large number of patients
indicates that this is a robust technique," says Dr. Summers. "We
believe it will work well in clinical practice, but more testing in the
clinical environment still is needed."

"Research into better ways to screen for and prevent disease is an
important aspect of NIH's clinical research mission," says John I.
Gallin, M.D., director of the NIH Clinical Center. "Studies like this
demonstrate how collaboration enriches research. We appreciate the
contribution of patients, who are our partners in research, and the
teamwork of our colleagues."

Screening patients came from National Naval Medical Center in Bethesda,
Maryland, Walter Reed Army Medical Center in Washington, D.C. and San
Diego Naval Medical Center.

This study was done in conjunction with researchers from the National
Naval Medical Center, Walter Reed Army Medical Center and Uniformed
Services University of the Health Sciences in Bethesda, Maryland.
Jianhua Yao, Ph.D., Perry J. Pinkhardt, M.D., Marek Franaszek, Ph.D.
Ingmar Bitter, Ph.D., Daniel Brickman, B.S., Vamsi Krishna, B.A., J.
Richard Choi, ScD, M.D participated in the study.

The NIH Clinical Center is the clinical research hospital of the
National Institutes of Health. Through clinical research, physicians and
scientists translate laboratory discoveries into better treatments,
therapies and interventions to improve the nation's health.

The National Institutes of Health (NIH) -- "The Nation's Medical
Research Agency" -- includes 27 Institutes and Centers and is a
component of the U. S. Department of Health and Human Services. It is
the primary Federal agency for conducting and supporting basic,
clinical, and translational medical research, and it investigates the
causes, treatments, and cures for both common and rare diseases. For
more information about NIH and its programs, visit http://www.nih.gov.
  
##
 
This NIH News Release is available online at:
http://www.nih.gov/news/pr/dec2005/cc-01.htm.

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