University of Calgary software detects cancer before tumour forms

CALGARY — Researchers in the University of Calgary have developed a computer software they assert can detect early signs of cancer of the breast, months prior to a formation of the tumour.

The program principal purpose is by engineers while using the university's Schulich School of Engineering, in partnership with radiologist Dr. Leo Desautels.

The c's viewed 106 mammogram images, all Obama extracted from women who were eventually identified as having breast cancer but ingested a clean bill of health after their initial screening.

Applying their newly developed program to look at the mammograms again, they was able to identify suspicious areas that were missed the first time — on the average, 15 months before lumps or other signs of cancer were clinically diagnosed.

""There's cancer there, but no tumour yet,"said lead researcher Raj Rangayyan. ""There isn't a mass or lump. . . . Might know about are identifying is the thing that we call 'architectural distortions.' ""

In a very normal breast, ligaments, ducts, arteries and, and tissues all converge toward the nipple. However when cancer is forming, Rangayyan said, most of these tissues Herbal Remedies0 get pushed and drawn in other directions — resulting in the so-called ""architectural distortions"for the mammogram image. These distortions can be quite a hardship on a good trained radiologist to spot while using the human eye alone. In fact, one recent study published in the medical journal Clinical Radiology found that ""architectural distortion"accounts for 12 to 45 per cent of overlooked or misinterpreted breast cancer cases. Even existing computer-assisted diagnostic systems often miss this kind of early danger sign, because changes Child in the breast can be so subtle.

Dr. Steven Narod — a professor in the University of Toronto's Women's College Research Institute as well as a Tier One Canada Research Chair in Cancers of the breast — said the University of Calgary research holds promise, because mammograms as they are now are not a foolproof screening method.

""We could switch the signal from another screening method as an MRI — as well oklahoma as the problem there's they're expensive — or we are able to increase the excellence of the mammogram itself through more advance screening techniques,"Narod said. ""Or you can get computers you just read the mammograms better than the human being eye . . . I really think what they're doing here is very interesting and exciting.

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