LarryHoward wrote:Orestes Munn wrote:kdh wrote:BeauV wrote:kdh wrote:Beau, my understanding is that there's a lot of confusion between a CT angiogram (CCTA), which uses an iodine-rich contrast injection and a plain old CT scan of the heart used to get a calcium score. The former involves significant radiation, that latter the same as a standard X-ray.
Heartflow uses a basic CT scan, no dye.
I haven't dug into the last 18 months of Heartflow's process, but when I was working there we definitely used Iodine contrast. My objection to the comment about radiation is that it's out of date. Modern CTs have much better receivers and can operate on far less power. They also have much higher resolution and yield far better results. I've dropped an email to the Clinical head to see if I'm out of date.
I don't think we ever use calcium score as the bases of the FFRct.
I guess I'm also confused.
I've heard that the preference for a standard, through-your-groin angiogram is from its being a setting that allows implanting a stent if necessary, another questionable practice.
Death is a certainty but in any given year it's not all that probable and as such if we look for something bad a false you-might-die-of-this is likely and believable because, well, we all die eventually.
Think of the likelihood of someone winning the lottery twice. Unlikely, right? No. The probability that
I win the lottery twice is epsilon but
anyone?
What's the probability that
I win the lottery once? Still miniscule. That
someone wins it is a certainty.
I'm with OM. Getting medical diagnoses and treatments right screams for large-sample statistical methods, not human experts.
And a rock solid corollary of that proposition is that medical decision making should be done by machines.
Interesting discussion. My clinical oncologist would argue that there is no formula for the treatment’s I’ve had. He and I banter about his assertatiin that “the body is not a machine and I have to consider how you are reacting at each step so we can’t really boil it down to A+B = C. I respond with Its a biochemical and mechanical machine and we can address things in processes and procedures based on trials, experience and studies and adjust based on feedback. I think at the bleeding edge it’s probably a bit different. My radiation treatments were denied by the insurance company ($62k) because there are no studies that prove effectiveness as a standard of care for the broader area of “soft tissue sarcoma of the retroperitonium” as there is no specific ICD code for a Ewing’s Sarcoma of the Retroperitonium. Still discussing that little gem of an insurance response. Same with the surgery in that most surgeons (and the chief at Georgetown (and the chief of Oncology Surgery at Georgetown told me I was inoperablej. Sloan-Kettering said “Tricky, but doable. Let’s do Chemo and maybe radiation first to try to shrink it and take out some of the surgical risk.” Given the somewhat subjective line between surgery or not, I wonder what Watson would say. I get the percentages. My undergrad is in Ops Research. Like the lottery question, some percentage will benefit from the “this expensive treatment is going to be effective in 3-5% of the patients.” How does Watson pick the 3-5%. What’s the decision criteria. Who chooses the criteria based on what data? I can guarantee that the small % that do benefit will take the “screw the numbers” position.
Exactly. You are in one of those relatively rare, but clinically important, situations where there are very few data and you and your docs are going on scant clinical reports, basic science, and the experience of a few individuals, because that's all there is. However, to take the easiest example, the rule-out strokes and heart attacks that present to emergency rooms every night still cause lots of head scratching, seat of the pants flying, second guessing, and decision making that looks bad the following day at rounds, on the hospital balance sheet, or next year in court. Simple weighted scoring algorithms can give you numerical probabilities for all kinds of things and would save lots of lives and money.
By the way, you don't need Watson to do it. When I was an intern, there was an algorithm for probability of MI that could be implemented on a programmable handheld calculator--remember those? In the paper describing it, it was more accurate than a panel of ER docs in real-life rule-outs. It was treated as a novelty. However, maybe in these days of autonomous vehicles...