Dog Sniffs Out Cancer In Human Urine
randomErr writes: University of Arkansas for Medical Sciences found out that a scent-trained dog can identify thyroid cancer in human urine samples 88.2 percent of the time. Frankie, a male German shepherd mix identified the presence of cancerous cells in 30 out of 34 samples. The shepherd was only slightly less accurate than a standard thyroid biopsy. This offers the possibility of a cheaper, less invasive approach to diagnosis of the illness said Donald Bodenner, M.D., PhD, the study's senior investigator.
are they false positives or failure to detect?
if it's false positives, that'll get found later....... not a big deal.
if it's a complete miss-- ouch...
I did not RTFA but I'm curious as to whether both the dog and biopsy tend to fail on the same samples, or if we could approach near perfect accuracy by using both?
Yet, despite this superpower, they choose roll around in the foulest smelling dead shit they can find.
Are there smells we cannot appreciate in the same vein that there are sounds we cannot hear?
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Why just one dog (and why Frankie)?
Why don't they use 10 dogs and run the sample by each? If 9 out of 10 dogs agree that the sample indicates cancer, wouldn't that reduce the potential for missed diagnoses or false positives? No risk of adverse affects unlike biopsies (unless you're allergic to dogs).
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and a life time of being on the Pre-Existing Conditions black list. I don't think the ER covers much of the cancer stuff. If you get layed off at 60 just do some time in jail till you can get on medicare
If you're in the US, you can no longer can be denied medical insurance based on pre-existing conditions nor can your premiums be different because of those conditions - unless, of course, the Republicans succeed in abolishing the ACA.
It must have been something you assimilated. . . .
What Lassie? Dad has thyroid cancer? I better go call an oncologist.
I'm a consultant - I convert gibberish into cash-flow.
If you're in the US, you can no longer can be denied medical insurance based on pre-existing conditions nor can your premiums be different because of those conditions - unless, of course, the Republicans succeed in abolishing the ACA.
That is simply not true. It is a State matter, and it does differ among the 13 States that created ACA exchanges. I know of at least one state that adopted the ACA except the pre-existing condition inclusion.
You are flatly incorrect. The ACA is a Federal Law and the only thing the states can opt-opt of is the Medicaid expansion - as per the Supreme Court ruling.
Perhaps you're thinking of the Pre Existing Condition Insurance Plan which was a *temporary* measure (that states could choose to participate in) that expired in 2014:
The temporary program covers a broad range of health benefits and is designed as a bridge for people with pre-existing conditions who cannot obtain health insurance coverage in today’s private insurance market.
In 2014, all Americans – regardless of their health status – will have access to affordable coverage either through their employer or through Health Insurance Marketplaces, and insurers will be prohibited from charging more or denying coverage to anyone based on the state of their health.
It must have been something you assimilated. . . .
Because you can't cram them into the body tricorder and they don't always make the right noise when you waive them over patients.
never drink kool-aid from a big vat
The specificity of the test is not shown, at least the false positive is not. ~85% chance of true positive is interresting and warrant further research. But I see conspicuously absent the false positive rate. See 88% true positive does not matter if you get 20% false positive. If you test 200 peoples , 100 with thyroid cancer 100 without, 12 you will not detect the cancer, 88 will be detected and 20 will be false detected as having cancer. And that's a good case where you already have a good idea this could be thyroid cancer with a high probability. As a screening test it would be terrible.
So the question is what is the false negative rate compared to the existing test.
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