Multiple CT scans for young adults with non-traumatic acute abdominal conditions increase radiation exposure.
Physicians should consider the risk of increased radiation exposure to young adults undergoing repeated CT scans for non-traumatic acute abdominal conditions, according to a study published in Emergency Radiology.
Researchers from Italy sought to assess the dose of ionizing radiation caused by repeated CT scans performed to investigate non-traumatic acute abdominal conditions in young adults, aged 18 to 45. All abdomen/pelvis CT scans carried out at their institution for over six years were retrospectively tallied, and the effective doses were computed by multiplying the total dose-length product by the appropriate anatomic conversion factor.
Sixty-one patients (average age 34.2) who underwent an average of 2.7 scans each for complaints related to urogenital, intestinal, hepatobiliary, and pancreatic disorders were included in the study. The effective dose varied among single- and multi-phase acquisitions. The cumulative effective dose ranged from 14.1 mSv to a maximum of 436.6 mSv (average 70.1 mSv per person). Twenty-five patients (40.9%) received more than 50 mSv, 84% of them within year; 12 (19.7%) and 4 (6.6%) patients received more than 100 and 200 mSv, respectively.
The researchers concluded that young adults are subject to repetitive CT imaging to monitor abdominal disorders during non-operative management to detect and follow up abdominal emergencies requiring surgical intervention and to assess post-surgical complications. However, this population’s risk of accruing high cumulative radiation exposure should be considered.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.
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).