Ho-ho-ho! Gather around, my dear friends, as I tell you a tale from the frosty realms of medical science, where the elves, also known as researchers, have been diligently working at the North Pole of Traumatic Brain Injury (TBI). In the year 2010, a workshop not unlike my own, run by the National Institute of Neurological Disorders and Stroke (NINDS), crafted a magical list known as common data elements (CDEs) to sprinkle uniformity over the assessment and reporting of imaging findings in TBI. Yet, much like a Christmas without snow, something was missing—a visual guide and data to support this standardized lexicon, akin to missing instructions for assembling the latest holiday toy.

Using a sleigh filled with over 4000 admission computerized tomography (CT) scans from the CENTER-TBI study, our diligent elves developed an extensive pictorial overview of the NINDS TBI CDEs. This treasure trove included visual examples and background information on individual pathoanatomical lesion types, right up to the level of supplemental and emerging information, such as location and estimated volumes. They embarked on a quest to document the frequency of lesion occurrence, aiming to quantify the relative importance of different CDEs for characterizing TBI, much like making a list and checking it twice.

The median age of the patients was 50 years, with a range as wide as my list of good children, from 0 to 96 years old, including 238 patients under 18 years old (5.8%). The most frequently occurring CT findings in acute TBI were traumatic subarachnoid hemorrhage (45.3%), skull fractures (37.4%), contusions (31.3%), and acute subdural hematoma (28.9%). It was noted that the occurrence of these lesions was up to three times higher in moderate-severe TBI compared to mild TBI, much like the difference between a light snowfall and a full-blown blizzard.

In the land of TBI, where CT abnormalities roam, there was co-occurrence and clustering of different lesion types, with significant differences between mild and moderate-severe TBI patients. The patterns of lesions were more complex in moderate-severe TBI patients, with more co-existing lesions and more frequent signs of mass effect, much like the intricate patterns of snowflakes.

The critical appraisal of the NINDS CDEs was highly positive, yet it revealed that a full assessment can be as time-consuming as wrapping presents on Christmas Eve. Some CDEs had very low frequencies, and a few redundancies and ambiguities in definitions were identified, much like finding two identical snowflakes.

In conclusion, this study, much like a Christmas gift, provides an educational resource for clinicians and researchers to help assess, characterize, and report the vast and complex spectrum of imaging findings in patients with TBI. Our data offers a comprehensive overview of the contemporary landscape of TBI imaging pathology in Europe, serving as empirical evidence for updating the current NINDS radiologic CDEs to version 3.0. So, as we close this chapter, let us remember the importance of coming together, sharing knowledge, and updating our practices, much like coming together to celebrate the joyous season of Christmas. Merry Christmas to all, and to all a good night!