Dear AuntMinnie Member,
The use of CT has grown sharply in the urgent care setting due to its ability to quickly and accurately assess neurological trauma. But there's still debate over exactly when and where to scan, especially when economic and medicolegal considerations come into play.
The current thinking on the use of CT in neurological trauma was the subject of a presentation at this week's Society of Critical Care Medicine meeting in San Francisco. Staff writer Eric Barnes was on the scene to report on the topic for our CT Digital Community.
In general, the use of CT for head trauma has been steadily expanding. Indeed, most of the guidelines for assessing neurological trauma tend to encourage it. Trauma physicians have found that the drawbacks of missing pathology by not ordering a CT scan far outweigh the cost of negative scans that might result from a more aggressive posture.
In some cases the need for CT is clear -- C-spine trauma is one such example. But there are still instances when imaging can be skipped entirely. Find out what they are by clicking here.
Also featured this week in the community, Irish researchers cast doubt on the effectiveness of low-dose CT as a screening modality for lung cancer, in a story available here. New results from the International Early Lung Cancer Action Project suggest that patients with secondary lung tumors should be managed more aggressively -- click here for that story. Finally, click here for an article on an effort by German researchers to use CT to differentiate types of noncalcified plaque.
You'll find all these articles and more in our CT Digital Community, at ct.auntminnie.com.



















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)