Mild skin reactions are a not infrequent delayed adverse outcome of contrast-enhanced CT, according to a prospective study from the University of California, Davis.
Mild skin reactions are a not infrequent delayed adverse outcome of contrast-enhanced CT, according to a prospective study from the University of California, Davis.
A study of 539 subjects who received CE-CT with the low-osmolar contrast agent iohexol (Omnipaque) and 286 patients who underwent noncontrast CT found that 14.3% of the subjects who received contrast had a delayed adverse reaction. Only one patient receiving noncontrast CT reported an adverse event.
Patients recruited for the study had been referred for CT to examine the chest, abdomen, pelvis, head, neck, or extremity. Subjects were randomized to receive either contrast or noncontrast procedures. Their average ages were 55.6 years for the iohexol group and 52 years for the noncontrast patients. Subjects in the contrast-enhanced CT group were administered 12 mL of iohexol at 4 mL/sec. Imaging was performed at the UC-Davis Medical Center.
The results suggest to principal investigator Dr. Shaun Loh that radiologists should stay aware of the possibility of delayed reactions and the need for prevention and management.
The findings were gathered from direct observation during the hour after imaging, a mail-in questionnaire, and follow-up phone contacts at two to three days after the CT scan. The response rate was 88%.
Cutaneous reactions were the most common adverse event. They arose during about 2.7% of the enhanced procedures. The range of cutaneous responses included rashes, itching, skin redness, and swelling. The rashes typically appeared first on the face and ears, spreading to the neck, upper chest, and back before progressing overnight to the arms, Loh said.
Loh and colleagues identified 14 prospective clinical trials that consider delayed adverse events before designing their own study. Only two of these efforts included a noncontrast control group, and their results were generally equivocal with the exception of skin manifestations, he said.
The adverse-event percentage rate may have been low, but it is notable considering the number of contrast-enhanced CT studies performed at busy practices such as UC-Davis, Loh said. His department performs 3100 contrast-CT studies per week. That translates into 20 delayed reactions that warrant attention, he said.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).
Could Lymph Node Distribution Patterns on CT Improve Staging for Colon Cancer?
April 11th 2025For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.