Most CT colonography patients show noncolon findings
The majority of patients who undergo CT colonography, either with or without contrast, will produce studies that have at least one extracolonic anomaly. Most will not require further workup, however.
The majority of patients who undergo CT colonography, either with or without contrast, will produce studies that have at least one extracolonic anomaly. Most will not require further workup, however.
In 183 patients who underwent CT colonography for screening or diagnosis at the University of Rome "La Sapienza," 60% had at least one noncolon finding. A study of 102 symptomatic patients at the University of Bern in Switzerland, put that figure at 89%.
In the Italian study, 54.33% of findings were of low significance. But 24.8% were highly significant, including aortic aneurysm, lymphadenopathy, liver metastases, and pulmonary nodules. One-third of the highly significant findings warranted further diagnostic examinations in the Italian study, similar to 27% in the Swiss study.
Dr. Adrian Spreng, lead researcher for the Bern study, noted that extracolonic findings requiring further investigation were more common in patients whose studies involved intravenous contrast: 33% of pateints who had IV contrast were referred on for other studies, compared with 13% of those who had no contrast.
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.
