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Health
See other Health Articles

Title: Pigeons Tend to Land on the Right Spot When Looking for Breast Cancer
Source: [None]
URL Source: [None]
Published: Nov 20, 2015
Author: Andrew M. Seaman
Post Date: 2015-11-20 02:18:32 by Tatarewicz
Keywords: None
Views: 97
Comments: 3

Medscape...

NEW YORK (Reuters Health) - Years of schooling and training are needed to teach pathologists and radiologists to spot cancer on medical images, but a new study finds that pigeons can be about as accurate as these professionals, with the help of a few food pellets.

People don't have to worry about bird brains diagnosing their cancers any time soon, but the study's lead researcher says pigeons may have a future standing in for pathologists and radiologists in the kinds of mind-numbing studies of new technologies that involve examining thousands of images.

"If you showed me 10 images, I'd be ok," said Dr. Richard Levenson, of the University of California Davis Medical Center in Sacramento. "But if you showed me 10,000 images, I would get irritated. Birds don't have the luxury to be irritated."

Dr. Levenson thought of experimenting with birds when he heard about work by Dr. Edward Wasserman of the University of Iowa and colleagues that found pigeons' visual recall is similar to that of humans.

Dr. Levenson teamed up with Dr. Wasserman for the new study, which put pigeons through three sets of tests. Each experiment showed the birds a different type of image: actual breast tissue samples with and without cancerous masses, mammogram images with and without calcifications, and mammograms with benign or cancerous masses.

The birds were taught to spot cancer and potentially cancer-linked calcifications over several days by being rewarded with a pellet of food each time one selected the correct button indicating the image was cancer free or had a malignancy.

To make sure the birds were not simply memorizing which images were cancerous and not cancerous, the researchers also showed the pigeons new images.

Among the images of actual tissue samples, the birds' accuracy rose from 50% (equivalent to chance) to about 85% 15 days later. They performed just as well when they were shown new images.

When the pigeons were taken as a group, and the choices of the majority tallied for each test, the birds demonstrated 99% accuracy in identifying cancer in the tissue sample images.

"They turned out to be extremely good pathologists," Dr. Levenson said.

Similarly, the birds' accuracy on images showing calcifications on mammograms ranged from 72% to 84% by the end of training. The pigeons were unable to differentiate between cancer and benign masses on mammograms, however.

The researchers reported online November 18 in PLoS ONE that the birds' accuracy also varied when viewing images of tissue samples if the color and brightness were changed.

The authors say having birds view many images may be a cost-effective way to test the accuracy of new technology. It's difficult and expensive to recruit human pathologists and radiologists to stare at huge numbers of images to help refine such technologies while they're in development, the authors write. The birds could do that job instead, they suggest.

"It seems reasonable that they would be good stand-in and do some of that work for us," Dr. Levenson said.

SOURCE: http://bit.ly/1O3p6YZ

PLoS ONE 2015.

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#1. To: Tatarewicz (#0)

Wow, that's great! In other words it's the quantity of the work that the birds are helping with rather than anything requiring subtle powers of observation? Either way its exciting and naturalistic.

NeoconsNailed  posted on  2015-11-20   2:25:59 ET  Reply   Trace   Private Reply  


#2. To: NeoconsNailed (#1)

Would be love-that-job for bird fanciers, training pigeons to spot x-ray anomalies. Akin to dogs being able to sniff out prostate cancer.

Tatarewicz  posted on  2015-11-20   22:16:13 ET  Reply   Trace   Private Reply  


#3. To: Tatarewicz (#2)

Oh yeah! Where do I find those dogs? Peeing's gotten complicated.

NeoconsNailed  posted on  2015-11-20   23:59:24 ET  Reply   Trace   Private Reply  


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