MRIs can better detect cancer in women with dense breasts, study finds
nytimes.com
nytimes.com
I personally think that the targeted use of MR -- which, with contrast, has its own (minute, marginal) risks (broadly comparable to mammography) is appropriate, as the image quality really is an order of magnitude better than plain film alone.
Nevertheless, this rate of iatrogenic harm has to be considered -- heck, just from basic Bayesian probability, you'll know that any imperfect test for a rare disease results in a lot of false positives.
Here in the UK, it's generally accepted that the ultimate rate of 'harm', that is, over-treatment, is about 3:1; "that is one breast cancer death prevented for about every three overdiagnosed cases identified and treated". Both the NHS and most women feel that, knowing this, "accepting the offer of breast screening is worthwhile" -- and I personally agree with them. [both 1]
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[1] https://www.thelancet.com/journals/lancet/article/PIIS0140-6...
The converse thought is, with the increased resolution, image quality and addition of a 3rd dimension over plain film mammographies, how much reduction in false positives iatrogenic can one reasonably expect?
The best specific information comes with a contrast agent, but that's not appropriate for screening for the iatrogenic reasons you mention, but is suited to diagnostic followup.
Worth noting on a big enough screening population, biopsy complications include death by infection, etc. You also have to consider the opportunity cost of the machinery and tech time, etc. So while sometimes approaches are dismissed for this (e.g. contrast agents for screening) it is not done without though.
As an overall health system, too, you really have to evaluate the systemic costs and opportunity costs, particularly with a screening program. Two big variables here are the infrastructure & workflow costs for introducing MRI mammo into a screening program (those machine and tech hours come from some other worthy use) and radiologist attention. Breast screening already struggles with allowing enough time for careful review of 2D data sets, adding more information of a 3D set (potentially additionally!) means you may have to trade off increased cost/time (or reduced coverage) against FN count.
So that's the tip of that particular iceberg. It's not easy, and a lot of smart people have been thinking about this since the 90s.
Example: A woman feels a lump, goes to see her doctor immediately rather than wait until her next scheduled screening, and this results in a cancer diagnosis.
One of the main reasons this happens is because the previous regular screening exam failed to detect the cancer.
Mammography misses cancers more often in dense breasts than in typical breasts. MRI has long been known to be much more sensitive than mammography at finding cancer in dense breasts.
This study looked at whether adding an MRI to a screening mammogram for extremely dense breasts would result in fewer interval cancers. It did, which is not surprising, but this was a relatively small study that resulted in only 4 cancers diagnosed in women who actually underwent the supplemental MRI.
Link to the paper: https://www.nejm.org/doi/full/10.1056/NEJMoa1903986
So basically it reduces "interval cancer", not "cancer", by more effectively finding warning signs.
[1] https://sciencebasedmedicine.org/a-skeptical-look-at-screeni...
[2] https://en.wikipedia.org/wiki/Incidental_imaging_finding
I really haven't seen much evidence for this in the industry, can you expand?