Try to avoid seeing a pattern when some days just don't go your way.
I might have made reference in a previous blog to my less-than-fulfilling experience of having to memorize a bunch of Shakespearean quotes in high school English classes. Lesson evidently not learned. In titling today’s blog, I half-guessed the line about fault not being in our stars, but ourselves was from Hamlet, not Julius Caesar.
Even the meaning behind the quotation slips from the mind all too readily. And no, I’m not just talking about indulging oneself with some astrology. It seems equally silly to imagine one’s luck (or lack thereof) tied to remote heavenly bodies as it does to, say, specific numbers, times of year, articles of clothing, or just a particular type of day.
One might imagine smart, highly-educated individuals in a science-based field, such as medicine, would not fall victim to such superstition. One might, then, be disappointed. I think my favorite example of this was from back during residency training, when a house staffer enduring one or more busy nights on-call might be described as being under a “black cloud,” or even termed the Black Cloud him/herself.
Another one, which I first saw while working in hospitals but continue to encounter to this very week, is the notion that certain types of pathology, notably appendicitis, turn up in 3s. I’ve found it an interesting wrinkle in terms of who is counting; staff in a particular ER counting three cases in a short interval is a bit of a different beast than a teleradiologist like myself, simultaneously receiving cases from hospitals across the country.
In the occasionally-superstitious individual’s defense, our brains are wired to make us draw conclusions, even if they bear closer resemblance to “delusions of reference” (there’s my background in psych talking, again). Our minds like to make patterns out of things, sometimes taking significant liberties with filling in blanks in order to do so.
I’m personally most vexed, in a love-to-hate kind of way, by the phenomenon of sensing early in a morning as to what overall type of day it’s going to be. At its simplest, “good” or “bad.”
It doesn’t take much to get the conceptual ball rolling: A couple of QA zingers in your inbox when you first get to work, spilling your morning coffee before you’ve had even half of it, hearing a pleasing item in the news, or getting a message that someone will be able to help you with your holiday-coverage-swapping request. I’ve even seen residual of the previous night’s dreaming have an impact.
The basic sense of it, even without a scientific education, is that there is indeed a lowest-common-denominator amongst these disparate events: The individual experiencing them and his subjective perception of it all. Not his zodiac sign, not the wearing of a lucky baseball cap, not that it’s Friday the 13th.
Still, that pesky theory-forming, pattern-recognizing brain keeps doing its thing, and indeed, it’s not an unpleasant matter when you feel your stars are in alignment and everything’s going your way. When you’re feeling more like the Black Cloud, however, snapping out of it might just help keep you from making it a self-fulfilling prophecy in the next few hours.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.