Patients who undergo head and neck CTs have higher risk of developing cataracts than those never exposed to the procedure.
Repeated exposure to head and neck CTs significantly increases the risk of cataract development, according to a study published in the American Journal of Roentgenology.
Researchers from Taiwan undertook a retrospective study to evaluate the possible effect of head and neck CTs on medical radiation-induced cataracts. Using a random sample from 2 million people enrolled in the Taiwan National Health Insurance Research Database, the researchers analyzed 2,776 subjects with head and neck tumors who underwent at least one CT scan between 2000 and 2009.
They were all aged between 10 and 50 years old. A control group of 27,761 subjects who were not exposed to radiation was matched by time of enrollment, age, sex, history of coronary artery disease, hypertension, and diabetes. The average follow up was 10 years.
The results showed that the subjects who had undergone CTs had a higher overall incidence of cataracts compared with the nonexposed group (0.97 percent versus 0.72 percent). As the number of CTs increased, so did the cataract frequency:
· One or two scans: 0.79 percent;
· Three or four scans: 0.93 percent;
· Five scans: 1.45 percent.
“Radiation exposure due to repeated head and neck CT studies was independently associated with an increased risk of developing cataracts when the cumulative CT exposure frequency involved more than four studies,” the authors wrote.
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: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
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.