Related Experiment Video
Updated: Feb 10, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
Rethinking Contrast CT in the Emergency Department: Why Pretest Probability, Not Creatinine, Should Guide Our
1Department of Emergency Medicine, Asahi General Hospital, Asahi, JPN.
Abstract:
Contrast-enhanced CT plays a central role in diagnostic decision-making in the emergency department (ED). However, contrast administration is often delayed or avoided mainly based on serum creatinine levels, despite increasing evidence that the nephrotoxic risk of modern iodinated contrast agents is low. Such creatinine-centered decision-making may result in diagnostically inadequate imaging and delayed diagnosis of time-sensitive, high-risk conditions in emergency care. This commentary examines the persistence of creatinine-centered imaging heuristics and their diagnostic consequences in emergency care, while not proposing new guidelines. Contemporary evidence shows that contrast-associated acute kidney injury (CA-AKI) is uncommon in the general ED population, with modest risk increases limited to patients with severe chronic kidney disease. In comparison, noncontrast CT is substantially less accurate for many high-risk emergency conditions, including vascular, ischemic, and infectious pathologies. Basing imaging decisions on the avoidance of contrast rather than diagnostic necessity can encourage defensive practice and undermine clinical reasoning. CT selection in the ED should be guided primarily by pretest probability and diagnostic intent, with renal function serving as a contextual consideration rather than a gatekeeper. Refocusing imaging decisions on clinical purpose aligns practice with current evidence and supports timely, accurate diagnosis. Cultivating this reasoning skill should be recognized as a core competency in emergency medicine.
More Related Videos
04:05Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
07:52Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department
Published on: January 29, 2011
Related Concept Videos
Probability Laws
Probability Distributions
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
Emerging Adulthood
Probability in Statistics
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
Probability Histograms
Poisson Probability Distribution
The...