Why? What are the risks of MRIs without contrast?
Why? What are the risks of MRIs without contrast?
However, I do think the reason MRI aren't used more often is because they are fucking expensive to operate. They need to run more or less 24/7 to be economical, which means they are commonly not scheduled with slack for "optional" investigations.
They’re also loud and can give patients a sense of claustrophobia or panic.
These types of MRIs often cause anxiety and can lead to riskier medical procedures that are not necessary. This is because imaging is actually not perfect. There is always a risk you see something there that is not a big deal, or that you misinterpret the image. That potentially means unnecessary surgery or medicine. That can kill you.
That's why if you go to any doctor in the US and say "I want an MRI, no, nothing is currently wrong with me" they won't do it.
In medicine, there is obviously a benefit in having less data. If I told you that you have a vein in your brain that could aneurysm at any point and instantly kill you, but no, we can't do anything about that - would that help you?
No, that would exclusively make your life worse, at least for the vast majority of people. It's also true for a lot of people. It could be true for you, right now.
Also, just because the error is in interpreting DOES NOT mean that the MRI is somehow magically off the hook. The risk came from the MRI. If you never did the MRI, then it would be impossible for that scenario to happen. That's just plainly true.
So therefore, if you do the MRI, there is a risk of that happening. Taking that risk without any complaints is deemed not worth it, so we don't do it.
There is no 'perfect information' but instead there is noise with every signal. It feels like that shouldn't be true ('the picture shows exactly what is happening, right?') but there are several levels at which the 'truth' that is assessed in an MRI can be degraded that have nothing to do with misinterpretation.
Even 'misinterpretation' is tricky - if something is only sometimes going to cause a clinically bad outcome, commenting or not commenting isn't a question of interpretation but of personal practice standards.
As a thought experiment, if MRI was as cheap and fast as testing blood pressure, do you think they’d still be given as rarely?
You’re assuming that we would skip this step, implicitly.
Now when would we do further screening? In a Bayesian framework, when we have a certain pre-test probability that we think we can improve to our desired level of post-test probability in order to take an action.
The fact that this is all automated doesn’t change our uncertainty about whether borderline calls should be targeted. Indeed, we’ll likely have more stringent criteria about things to ignore than are used today, and that may be worse for the small number of times we currently catch an actionable incidental finding.
And we’re not even beginning to consider cost, resource misuse, and the risks we’re incurring (an MRI machine isn’t safe to be around and costs a lot to maintain)
Edit: the things that kill people are smoking, heart disease, lack of exercise and poor diet. Targeting these is so much more useful than detecting a larger number of incidental findings
https://www.linkedin.com/posts/gunnmartin_ranzcr-activity-72...