It’s finally happened!
It took all of the immersion term, but I was finally able to run some simple
models on the data that I had received. It took a while to get to that point
after collecting the data – (thanks to finding extra whitespaces in some of your
spreadsheets that ends up throwing errors that take 30 minutes to debug), but
there are preliminary results now.
Without getting too
much in the way of scooping potential future work, preliminary results point to
the importance of the perpendicularity of the angle relative to the pleural
surface and the use of a collagen plug while finishing the procedure. Of
interest is how we can use these results to now attempt to improve patient
health prognosis, as both criteria are difficult to always meet – the collagen
plug is an additional expenditure of ~500 dollars, and optimizing the angle is
not always a feasible task, given the other constraints in place (some
trajectories are not feasible) and the inability to discern the precise angle
between the pleural surface and the needle along the trajectory to the lesion.
Though it’s outside the scope of what I’m capable, we discussed potentially having
someone comfortable with image processing design a program that can
automatically provide those paths! It would certainly alleviate some of the
downfalls of having the operator still decide.
With respect to how
some of the analysis was performed – as mentioned previously, the data
collected was fit to a logistic regression model. What was done to validate
this was a k-fold stratified cross-validation, ie, iteratively, k times, separating
the data into a testing set and a training set that still maintains the same
ratio of pneumothorax positive samples, ensuring the model is being trained on
a representative set of data. As a spoiler to how positive things seem, our
predictive accuracy was ~85%!
With these results, it
means that I’ll be able to keep having a bit of immersion contact, as we move
towards publishing/presenting. It’s a satisfying feeling to have been able to come
in and find a novel result in such a short time. Between the research output
and the clinical work, this immersion experience has definitely been something
I won’t soon forget.
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